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\n\n \n \n Ali, M.; Montzka, C.; Stadler, A.; Menz, G.; Thonfeld, F.; and Vereecken, H.\n\n\n \n \n \n \n \n Estimation and Validation of RapidEye-Based Time-Series of Leaf Area Index for Winter Wheat in the Rur Catchment (Germany).\n \n \n \n \n\n\n \n\n\n\n
Remote Sensing, 7(3): 2808–2831. March 2015.\n
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\n\n \n \n ![\"Estimation](\"//bibbase.org/img/filetypes/link.svg\"\n\t "\\"Paper\\"\n\t")
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@article{ali_estimation_2015,\n\ttitle = {Estimation and {Validation} of {RapidEye}-{Based} {Time}-{Series} of {Leaf} {Area} {Index} for {Winter} {Wheat} in the {Rur} {Catchment} ({Germany})},\n\tvolume = {7},\n\tissn = {2072-4292},\n\turl = {http://www.mdpi.com/2072-4292/7/3/2808},\n\tdoi = {10.3390/rs70302808},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2023-02-23},\n\tjournal = {Remote Sensing},\n\tauthor = {Ali, Muhammad and Montzka, Carsten and Stadler, Anja and Menz, Gunter and Thonfeld, Frank and Vereecken, Harry},\n\tmonth = mar,\n\tyear = {2015},\n\tpages = {2808--2831},\n}\n\n\n
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\n\n \n \n Anis, M. R.; and Rode, M.\n\n\n \n \n \n \n \n Effect of climate change on overland flow generation: a case study in central Germany: EFFECT OF CLIMATE CHANGE ON OVERLAND FLOW GENERATION.\n \n \n \n \n\n\n \n\n\n\n
Hydrological Processes, 29(11): 2478–2490. May 2015.\n
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@article{anis_effect_2015,\n\ttitle = {Effect of climate change on overland flow generation: a case study in central {Germany}: {EFFECT} {OF} {CLIMATE} {CHANGE} {ON} {OVERLAND} {FLOW} {GENERATION}},\n\tvolume = {29},\n\tissn = {08856087},\n\tshorttitle = {Effect of climate change on overland flow generation},\n\turl = {https://onlinelibrary.wiley.com/doi/10.1002/hyp.10381},\n\tdoi = {10.1002/hyp.10381},\n\tlanguage = {en},\n\tnumber = {11},\n\turldate = {2023-02-23},\n\tjournal = {Hydrological Processes},\n\tauthor = {Anis, Muhammad Rehan and Rode, Michael},\n\tmonth = may,\n\tyear = {2015},\n\tpages = {2478--2490},\n}\n\n\n
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\n\n \n \n Baatz, R.; Bogena, H. R.; Hendricks Franssen, H.; Huisman, J. A.; Montzka, C.; and Vereecken, H.\n\n\n \n \n \n \n \n An empirical vegetation correction for soil water content quantification using cosmic ray probes.\n \n \n \n \n\n\n \n\n\n\n
Water Resources Research, 51(4): 2030–2046. April 2015.\n
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@article{baatz_empirical_2015,\n\ttitle = {An empirical vegetation correction for soil water content quantification using cosmic ray probes},\n\tvolume = {51},\n\tissn = {0043-1397, 1944-7973},\n\turl = {https://onlinelibrary.wiley.com/doi/abs/10.1002/2014WR016443},\n\tdoi = {10.1002/2014WR016443},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2023-02-23},\n\tjournal = {Water Resources Research},\n\tauthor = {Baatz, R. and Bogena, H. R. and Hendricks Franssen, H.‐J. and Huisman, J. A. and Montzka, C. and Vereecken, H.},\n\tmonth = apr,\n\tyear = {2015},\n\tpages = {2030--2046},\n}\n\n\n
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\n\n \n \n Baroni, G.; and Oswald, S.\n\n\n \n \n \n \n \n A scaling approach for the assessment of biomass changes and rainfall interception using cosmic-ray neutron sensing.\n \n \n \n \n\n\n \n\n\n\n
Journal of Hydrology, 525: 264–276. June 2015.\n
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@article{baroni_scaling_2015,\n\ttitle = {A scaling approach for the assessment of biomass changes and rainfall interception using cosmic-ray neutron sensing},\n\tvolume = {525},\n\tissn = {00221694},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0022169415002243},\n\tdoi = {10.1016/j.jhydrol.2015.03.053},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Journal of Hydrology},\n\tauthor = {Baroni, G. and Oswald, S.E.},\n\tmonth = jun,\n\tyear = {2015},\n\tpages = {264--276},\n}\n\n\n
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\n\n \n \n Blasch, G.; Spengler, D.; Hohmann, C.; Neumann, C.; Itzerott, S.; and Kaufmann, H.\n\n\n \n \n \n \n \n Multitemporal soil pattern analysis with multispectral remote sensing data at the field-scale.\n \n \n \n \n\n\n \n\n\n\n
Computers and Electronics in Agriculture, 113: 1–13. April 2015.\n
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@article{blasch_multitemporal_2015,\n\ttitle = {Multitemporal soil pattern analysis with multispectral remote sensing data at the field-scale},\n\tvolume = {113},\n\tissn = {01681699},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0168169915000277},\n\tdoi = {10.1016/j.compag.2015.01.012},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Computers and Electronics in Agriculture},\n\tauthor = {Blasch, Gerald and Spengler, Daniel and Hohmann, Christian and Neumann, Carsten and Itzerott, Sibylle and Kaufmann, Herrmann},\n\tmonth = apr,\n\tyear = {2015},\n\tpages = {1--13},\n}\n\n\n
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\n\n \n \n Blasch, G.; Spengler, D.; Itzerott, S.; and Wessolek, G.\n\n\n \n \n \n \n \n Organic Matter Modeling at the Landscape Scale Based on Multitemporal Soil Pattern Analysis Using RapidEye Data.\n \n \n \n \n\n\n \n\n\n\n
Remote Sensing, 7(9): 11125–11150. August 2015.\n
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@article{blasch_organic_2015,\n\ttitle = {Organic {Matter} {Modeling} at the {Landscape} {Scale} {Based} on {Multitemporal} {Soil} {Pattern} {Analysis} {Using} {RapidEye} {Data}},\n\tvolume = {7},\n\tissn = {2072-4292},\n\turl = {http://www.mdpi.com/2072-4292/7/9/11125},\n\tdoi = {10.3390/rs70911125},\n\tlanguage = {en},\n\tnumber = {9},\n\turldate = {2023-02-23},\n\tjournal = {Remote Sensing},\n\tauthor = {Blasch, Gerald and Spengler, Daniel and Itzerott, Sibylle and Wessolek, Gerd},\n\tmonth = aug,\n\tyear = {2015},\n\tpages = {11125--11150},\n}\n\n\n
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\n\n \n \n Bogena, H. R.; Bol, R.; Borchard, N.; Brüggemann, N.; Diekkrüger, B.; Drüe, C.; Groh, J.; Gottselig, N.; Huisman, J. A.; Lücke, A.; Missong, A.; Neuwirth, B.; Pütz, T.; Schmidt, M.; Stockinger, M.; Tappe, W.; Weihermüller, L.; Wiekenkamp, I.; and Vereecken, H.\n\n\n \n \n \n \n \n A terrestrial observatory approach to the integrated investigation of the effects of deforestation on water, energy, and matter fluxes.\n \n \n \n \n\n\n \n\n\n\n
Science China Earth Sciences, 58(1): 61–75. January 2015.\n
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@article{bogena_terrestrial_2015,\n\ttitle = {A terrestrial observatory approach to the integrated investigation of the effects of deforestation on water, energy, and matter fluxes},\n\tvolume = {58},\n\tissn = {1674-7313, 1869-1897},\n\turl = {http://link.springer.com/10.1007/s11430-014-4911-7},\n\tdoi = {10.1007/s11430-014-4911-7},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2023-02-23},\n\tjournal = {Science China Earth Sciences},\n\tauthor = {Bogena, H. R. and Bol, R. and Borchard, N. and Brüggemann, N. and Diekkrüger, B. and Drüe, C. and Groh, J. and Gottselig, N. and Huisman, J. A. and Lücke, A. and Missong, A. and Neuwirth, B. and Pütz, T. and Schmidt, M. and Stockinger, M. and Tappe, W. and Weihermüller, L. and Wiekenkamp, I. and Vereecken, H.},\n\tmonth = jan,\n\tyear = {2015},\n\tpages = {61--75},\n}\n\n\n
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\n\n \n \n Bogena, H. R.; Huisman, J. A.; Güntner, A.; Hübner, C.; Kusche, J.; Jonard, F.; Vey, S.; and Vereecken, H.\n\n\n \n \n \n \n \n Emerging methods for noninvasive sensing of soil moisture dynamics from field to catchment scale: a review.\n \n \n \n \n\n\n \n\n\n\n
WIREs Water, 2(6): 635–647. November 2015.\n
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@article{bogena_emerging_2015,\n\ttitle = {Emerging methods for noninvasive sensing of soil moisture dynamics from field to catchment scale: a review},\n\tvolume = {2},\n\tissn = {2049-1948, 2049-1948},\n\tshorttitle = {Emerging methods for noninvasive sensing of soil moisture dynamics from field to catchment scale},\n\turl = {https://onlinelibrary.wiley.com/doi/10.1002/wat2.1097},\n\tdoi = {10.1002/wat2.1097},\n\tlanguage = {en},\n\tnumber = {6},\n\turldate = {2023-02-23},\n\tjournal = {WIREs Water},\n\tauthor = {Bogena, Heye R. and Huisman, Johan A. and Güntner, Andreas and Hübner, Christof and Kusche, Jürgen and Jonard, François and Vey, Sibylle and Vereecken, Harry},\n\tmonth = nov,\n\tyear = {2015},\n\tpages = {635--647},\n}\n\n\n
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\n\n \n \n Bol, R.; Lücke, A.; Tappe, W.; Kummer, S.; Krause, M.; Weigand, S.; Pütz, T.; and Vereecken, H.\n\n\n \n \n \n \n \n Spatio-temporal Variations of Dissolved Organic Matter in a German Forested Mountainous Headwater Catchment.\n \n \n \n \n\n\n \n\n\n\n
Vadose Zone Journal, 14(4): vzj2015.01.0005. April 2015.\n
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@article{bol_spatio-temporal_2015,\n\ttitle = {Spatio-temporal {Variations} of {Dissolved} {Organic} {Matter} in a {German} {Forested} {Mountainous} {Headwater} {Catchment}},\n\tvolume = {14},\n\tissn = {15391663},\n\turl = {http://doi.wiley.com/10.2136/vzj2015.01.0005},\n\tdoi = {10.2136/vzj2015.01.0005},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2023-02-23},\n\tjournal = {Vadose Zone Journal},\n\tauthor = {Bol, Roland and Lücke, Andreas and Tappe, Wolfgang and Kummer, Sirgit and Krause, Martina and Weigand, Susanne and Pütz, Thomas and Vereecken, Harry},\n\tmonth = apr,\n\tyear = {2015},\n\tpages = {vzj2015.01.0005},\n}\n\n\n
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\n\n \n \n Borchard, N.; Schirrmann, M.; Hebel, C. V.; Schmidt, M.; Baatz, R.; Firbank, L.; Vereecken, H.; and Herbst, M.\n\n\n \n \n \n \n \n Spatio-temporal drivers of soil and ecosystem carbon fluxes at field scale in an upland grassland in Germany.\n \n \n \n \n\n\n \n\n\n\n
Agriculture, Ecosystems & Environment, 211: 84–93. December 2015.\n
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@article{borchard_spatio-temporal_2015,\n\ttitle = {Spatio-temporal drivers of soil and ecosystem carbon fluxes at field scale in an upland grassland in {Germany}},\n\tvolume = {211},\n\tissn = {01678809},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0167880915001905},\n\tdoi = {10.1016/j.agee.2015.05.008},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Agriculture, Ecosystems \\& Environment},\n\tauthor = {Borchard, Nils and Schirrmann, Michael and Hebel, Christian Von and Schmidt, Marius and Baatz, Roland and Firbank, Les and Vereecken, Harry and Herbst, Michael},\n\tmonth = dec,\n\tyear = {2015},\n\tpages = {84--93},\n}\n\n\n
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\n\n \n \n Bowler, D.; Haase, P.; Kröncke, I.; Tackenberg, O.; Bauer, H.; Brendel, C.; Brooker, R.; Gerisch, M.; Henle, K.; Hickler, T.; Hof, C.; Klotz, S.; Kühn, I.; Matesanz, S.; O‘Hara, R.; Russell, D.; Schweiger, O.; Valladares, F.; Welk, E.; Wiemers, M.; and Böhning-Gaese, K.\n\n\n \n \n \n \n \n A cross-taxon analysis of the impact of climate change on abundance trends in central Europe.\n \n \n \n \n\n\n \n\n\n\n
Biological Conservation, 187: 41–50. July 2015.\n
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@article{bowler_cross-taxon_2015,\n\ttitle = {A cross-taxon analysis of the impact of climate change on abundance trends in central {Europe}},\n\tvolume = {187},\n\tissn = {00063207},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0006320715001457},\n\tdoi = {10.1016/j.biocon.2015.03.034},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Biological Conservation},\n\tauthor = {Bowler, D.E. and Haase, P. and Kröncke, I. and Tackenberg, O. and Bauer, H.G. and Brendel, C. and Brooker, R.W. and Gerisch, M. and Henle, K. and Hickler, T. and Hof, C. and Klotz, S. and Kühn, I. and Matesanz, S. and O‘Hara, R. and Russell, D. and Schweiger, O. and Valladares, F. and Welk, E. and Wiemers, M. and Böhning-Gaese, K.},\n\tmonth = jul,\n\tyear = {2015},\n\tpages = {41--50},\n}\n\n\n
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\n\n \n \n Buras, A.; Scharnweber, T.; Simard, S.; van der Maaten, E.; Tober, A.; Heinrich, I.; Kaiser, K.; and Wilmking, M.\n\n\n \n \n \n \n Aktuelle dendroökologische Fragestellungen im Teilgebiet Serrahn des Müritz-Nationalparks.\n \n \n \n\n\n \n\n\n\n In . September 2015.\n
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@incollection{buras_aktuelle_2015,\n\ttitle = {Aktuelle dendroökologische {Fragestellungen} im {Teilgebiet} {Serrahn} des {Müritz}-{Nationalparks}},\n\tauthor = {Buras, Allan and Scharnweber, Tobias and Simard, Sonia and van der Maaten, Ernst and Tober, Anne and Heinrich, Ingo and Kaiser, Knut and Wilmking, Martin},\n\tmonth = sep,\n\tyear = {2015},\n}\n\n\n
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\n\n \n \n Błaszkiewicz, M.; Piotrowski, J.; Brauer, A.; Gierszewski, P.; Kordowski, J.; Kramkowski, M.; Lamparski, P.; Lorenz, S.; Noryśkiewicz, A.; Ott, F.; Słowiński, M.; and Tyszkowski, S.\n\n\n \n \n \n \n \n Climatic and morphological controls on diachronous postglacial lake and river valley evolution in the area of Last Glaciation, northern Poland.\n \n \n \n \n\n\n \n\n\n\n
Quaternary Science Reviews, 109: 13–27. February 2015.\n
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@article{blaszkiewicz_climatic_2015,\n\ttitle = {Climatic and morphological controls on diachronous postglacial lake and river valley evolution in the area of {Last} {Glaciation}, northern {Poland}},\n\tvolume = {109},\n\tissn = {02773791},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0277379114004831},\n\tdoi = {10.1016/j.quascirev.2014.11.023},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Quaternary Science Reviews},\n\tauthor = {Błaszkiewicz, M. and Piotrowski, J.A. and Brauer, A. and Gierszewski, P. and Kordowski, J. and Kramkowski, M. and Lamparski, P. and Lorenz, S. and Noryśkiewicz, A.M. and Ott, F. and Słowiński, M. and Tyszkowski, S.},\n\tmonth = feb,\n\tyear = {2015},\n\tpages = {13--27},\n}\n\n\n
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\n\n \n \n Caravaca, F.; Maboreke, H.; Kurth, F.; Herrmann, S.; Tarkka, M. T.; and Ruess, L.\n\n\n \n \n \n \n \n Synergists and antagonists in the rhizosphere modulate microbial communities and growth of Quercus robur L.\n \n \n \n \n\n\n \n\n\n\n
Soil Biology and Biochemistry, 82: 65–73. March 2015.\n
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@article{caravaca_synergists_2015,\n\ttitle = {Synergists and antagonists in the rhizosphere modulate microbial communities and growth of {Quercus} robur {L}.},\n\tvolume = {82},\n\tissn = {00380717},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0038071714004180},\n\tdoi = {10.1016/j.soilbio.2014.12.004},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Soil Biology and Biochemistry},\n\tauthor = {Caravaca, Fuensanta and Maboreke, Hazel and Kurth, Florence and Herrmann, Sylvie and Tarkka, Mika T. and Ruess, Liliane},\n\tmonth = mar,\n\tyear = {2015},\n\tpages = {65--73},\n}\n\n\n
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\n\n \n \n Chen, Z.; Wang, C.; Gschwendtner, S.; Willibald, G.; Unteregelsbacher, S.; Lu, H.; Kolar, A.; Schloter, M.; Butterbach-Bahl, K.; and Dannenmann, M.\n\n\n \n \n \n \n \n Relationships between denitrification gene expression, dissimilatory nitrate reduction to ammonium and nitrous oxide and dinitrogen production in montane grassland soils.\n \n \n \n \n\n\n \n\n\n\n
Soil Biology and Biochemistry, 87: 67–77. August 2015.\n
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@article{chen_relationships_2015,\n\ttitle = {Relationships between denitrification gene expression, dissimilatory nitrate reduction to ammonium and nitrous oxide and dinitrogen production in montane grassland soils},\n\tvolume = {87},\n\tissn = {00380717},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S003807171500142X},\n\tdoi = {10.1016/j.soilbio.2015.03.030},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Soil Biology and Biochemistry},\n\tauthor = {Chen, Zhe and Wang, Changhui and Gschwendtner, Silvia and Willibald, Georg and Unteregelsbacher, Sebastian and Lu, Haiyan and Kolar, Allison and Schloter, Michael and Butterbach-Bahl, Klaus and Dannenmann, Michael},\n\tmonth = aug,\n\tyear = {2015},\n\tpages = {67--77},\n}\n\n\n
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\n\n \n \n Clasen, A.; Somers, B.; Pipkins, K.; Tits, L.; Segl, K.; Brell, M.; Kleinschmit, B.; Spengler, D.; Lausch, A.; and Förster, M.\n\n\n \n \n \n \n \n Spectral Unmixing of Forest Crown Components at Close Range, Airborne and Simulated Sentinel-2 and EnMAP Spectral Imaging Scale.\n \n \n \n \n\n\n \n\n\n\n
Remote Sensing, 7(11): 15361–15387. November 2015.\n
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@article{clasen_spectral_2015,\n\ttitle = {Spectral {Unmixing} of {Forest} {Crown} {Components} at {Close} {Range}, {Airborne} and {Simulated} {Sentinel}-2 and {EnMAP} {Spectral} {Imaging} {Scale}},\n\tvolume = {7},\n\tissn = {2072-4292},\n\turl = {http://www.mdpi.com/2072-4292/7/11/15361},\n\tdoi = {10.3390/rs71115361},\n\tlanguage = {en},\n\tnumber = {11},\n\turldate = {2023-02-23},\n\tjournal = {Remote Sensing},\n\tauthor = {Clasen, Anne and Somers, Ben and Pipkins, Kyle and Tits, Laurent and Segl, Karl and Brell, Max and Kleinschmit, Birgit and Spengler, Daniel and Lausch, Angela and Förster, Michael},\n\tmonth = nov,\n\tyear = {2015},\n\tpages = {15361--15387},\n}\n\n\n
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\n\n \n \n Creutzfeldt, B.; Heinrich, I.; and Merz, B.\n\n\n \n \n \n \n \n Total water storage dynamics derived from tree-ring records and terrestrial gravity observations.\n \n \n \n \n\n\n \n\n\n\n
Journal of Hydrology, 529: 640–649. October 2015.\n
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@article{creutzfeldt_total_2015,\n\ttitle = {Total water storage dynamics derived from tree-ring records and terrestrial gravity observations},\n\tvolume = {529},\n\tissn = {00221694},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0022169415002553},\n\tdoi = {10.1016/j.jhydrol.2015.04.006},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Journal of Hydrology},\n\tauthor = {Creutzfeldt, Benjamin and Heinrich, Ingo and Merz, Bruno},\n\tmonth = oct,\n\tyear = {2015},\n\tpages = {640--649},\n}\n\n\n
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\n\n \n \n Czymzik, M.; Muscheler, R.; Brauer, A.; Adolphi, F.; Ott, F.; Kienel, U.; Dräger, N.; Słowiński, M.; Aldahan, A.; and Possnert, G.\n\n\n \n \n \n \n \n Solar cycles and depositional processes in annual 10 Be from two varved lake sediment records.\n \n \n \n \n\n\n \n\n\n\n
Earth and Planetary Science Letters, 428: 44–51. October 2015.\n
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@article{czymzik_solar_2015,\n\ttitle = {Solar cycles and depositional processes in annual 10 {Be} from two varved lake sediment records},\n\tvolume = {428},\n\tissn = {0012821X},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0012821X15004720},\n\tdoi = {10.1016/j.epsl.2015.07.037},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Earth and Planetary Science Letters},\n\tauthor = {Czymzik, Markus and Muscheler, Raimund and Brauer, Achim and Adolphi, Florian and Ott, Florian and Kienel, Ulrike and Dräger, Nadine and Słowiński, Michał and Aldahan, Ala and Possnert, Göran},\n\tmonth = oct,\n\tyear = {2015},\n\tpages = {44--51},\n}\n\n\n
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\n\n \n \n Devaraju, A.; Jirka, S.; Kunkel, R.; and Sorg, J.\n\n\n \n \n \n \n \n Q-SOS—A Sensor Observation Service for Accessing Quality Descriptions of Environmental Data.\n \n \n \n \n\n\n \n\n\n\n
ISPRS International Journal of Geo-Information, 4(3): 1346–1365. August 2015.\n
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@article{devaraju_q-sossensor_2015,\n\ttitle = {Q-{SOS}—{A} {Sensor} {Observation} {Service} for {Accessing} {Quality} {Descriptions} of {Environmental} {Data}},\n\tvolume = {4},\n\tissn = {2220-9964},\n\turl = {http://www.mdpi.com/2220-9964/4/3/1346},\n\tdoi = {10.3390/ijgi4031346},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2023-02-23},\n\tjournal = {ISPRS International Journal of Geo-Information},\n\tauthor = {Devaraju, Anusuriya and Jirka, Simon and Kunkel, Ralf and Sorg, Juergen},\n\tmonth = aug,\n\tyear = {2015},\n\tpages = {1346--1365},\n}\n\n\n
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\n\n \n \n Diederich, M.; Ryzhkov, A.; Simmer, C.; Zhang, P.; and Trömel, S.\n\n\n \n \n \n \n \n Use of Specific Attenuation for Rainfall Measurement at X-Band Radar Wavelengths. Part I: Radar Calibration and Partial Beam Blockage Estimation.\n \n \n \n \n\n\n \n\n\n\n
Journal of Hydrometeorology, 16(2): 487–502. April 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@article{diederich_use_2015,\n\ttitle = {Use of {Specific} {Attenuation} for {Rainfall} {Measurement} at {X}-{Band} {Radar} {Wavelengths}. {Part} {I}: {Radar} {Calibration} and {Partial} {Beam} {Blockage} {Estimation}},\n\tvolume = {16},\n\tissn = {1525-755X, 1525-7541},\n\tshorttitle = {Use of {Specific} {Attenuation} for {Rainfall} {Measurement} at {X}-{Band} {Radar} {Wavelengths}. {Part} {I}},\n\turl = {http://journals.ametsoc.org/doi/10.1175/JHM-D-14-0066.1},\n\tdoi = {10.1175/JHM-D-14-0066.1},\n\tabstract = {Abstract \n In a two-part paper, radar rain-rate retrievals using specific attenuation A suggested by Ryzhkov et al. are thoroughly investigated. Continuous time series of overlapping measurements from two twin polarimetric X-band weather radars in Germany during the summers of 2011–13 are used to analyze various aspects of rain-rate retrieval, including miscalibration correction, mitigation of ground clutter contamination and partial beam blockage (PBB), sensitivity to precipitation characteristics, and the temperature assumptions of the R(A) technique. In this paper, the relations inherent to the R(A) method are used to estimate radar reflectivity Z from A and compare it to the measured Z in order to estimate PBB and calibration offsets for both radars. The fields of Z estimated from A for both radars are consistent, and the differences between Z(A) and measured Z are in good agreement with the ones calculated using either consistency relations between reflectivity at horizontal polarization ZH, differential reflectivity ZDR, and specific differential phase KDP in rain or a digital elevation model in the presence of PBB. In the analysis, the dependence of A on temperature appears to have minimal effects on the overall performance of the method. As expected, the difference between Z(A) and attenuation-corrected measured Z observations varies with rain type and exhibits a weak systematic dependency on rainfall intensity; thus, averaging over several rain events is required to obtain reliable estimates of the Z biases caused by radar miscalibration and PBB.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2023-02-23},\n\tjournal = {Journal of Hydrometeorology},\n\tauthor = {Diederich, Malte and Ryzhkov, Alexander and Simmer, Clemens and Zhang, Pengfei and Trömel, Silke},\n\tmonth = apr,\n\tyear = {2015},\n\tpages = {487--502},\n}\n\n\n
\n\n\n
\n Abstract In a two-part paper, radar rain-rate retrievals using specific attenuation A suggested by Ryzhkov et al. are thoroughly investigated. Continuous time series of overlapping measurements from two twin polarimetric X-band weather radars in Germany during the summers of 2011–13 are used to analyze various aspects of rain-rate retrieval, including miscalibration correction, mitigation of ground clutter contamination and partial beam blockage (PBB), sensitivity to precipitation characteristics, and the temperature assumptions of the R(A) technique. In this paper, the relations inherent to the R(A) method are used to estimate radar reflectivity Z from A and compare it to the measured Z in order to estimate PBB and calibration offsets for both radars. The fields of Z estimated from A for both radars are consistent, and the differences between Z(A) and measured Z are in good agreement with the ones calculated using either consistency relations between reflectivity at horizontal polarization ZH, differential reflectivity ZDR, and specific differential phase KDP in rain or a digital elevation model in the presence of PBB. In the analysis, the dependence of A on temperature appears to have minimal effects on the overall performance of the method. As expected, the difference between Z(A) and attenuation-corrected measured Z observations varies with rain type and exhibits a weak systematic dependency on rainfall intensity; thus, averaging over several rain events is required to obtain reliable estimates of the Z biases caused by radar miscalibration and PBB.\n
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\n\n \n \n Diederich, M.; Ryzhkov, A.; Simmer, C.; Zhang, P.; and Trömel, S.\n\n\n \n \n \n \n \n Use of Specific Attenuation for Rainfall Measurement at X-Band Radar Wavelengths. Part II: Rainfall Estimates and Comparison with Rain Gauges.\n \n \n \n \n\n\n \n\n\n\n
Journal of Hydrometeorology, 16(2): 503–516. April 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@article{diederich_use_2015-1,\n\ttitle = {Use of {Specific} {Attenuation} for {Rainfall} {Measurement} at {X}-{Band} {Radar} {Wavelengths}. {Part} {II}: {Rainfall} {Estimates} and {Comparison} with {Rain} {Gauges}},\n\tvolume = {16},\n\tissn = {1525-755X, 1525-7541},\n\tshorttitle = {Use of {Specific} {Attenuation} for {Rainfall} {Measurement} at {X}-{Band} {Radar} {Wavelengths}. {Part} {II}},\n\turl = {http://journals.ametsoc.org/doi/10.1175/JHM-D-14-0067.1},\n\tdoi = {10.1175/JHM-D-14-0067.1},\n\tabstract = {Abstract \n In a series of two papers, rain-rate retrievals based on specific attenuation A at radar X-band wavelength using the R(A) method presented by Ryzhkov et al. are thoroughly investigated. Continuous time series of overlapping measurements from two polarimetric X-band weather radars in Germany during the summers of 2011–13 are used to analyze various aspects of the method, like miscalibration correction, ground clutter contamination, partial beam blockage (PBB), sensitivity to precipitation characteristics, and sensitivity to temperature assumptions in the retrievals. In Part I of the series, the relations inherent to the R(A) method were used to calculate radar reflectivity Z from specific attenuation and it was compared with measured reflectivity to estimate PBB and calibration errors for both radars. In this paper, R(A) rain estimates are compared to R(Z) and R(KDP) retrievals using specific phase shift KDP. PBB and calibration corrections derived in Part I made the R(Z) rainfall estimates almost perfectly consistent. Accumulated over five summer months, rainfall maps showed strong effects of clutter contamination if R(KDP) is used and weaker impact on R(A). These effects could be reduced by processing the phase shift measurements with more resilience toward ground clutter contamination and by substituting problematic R(KDP) or R(A) estimates with R(Z). Hourly and daily accumulations from rain estimators are compared with rain gauge measurements; the results show that R(A) complemented by R(Z) in segments with low total differential phase shift correlates best with gauges and has the lowest bias and RMSE, followed by R(KDP) substituted with R(Z) at rain rates below 8 mm h−1.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2023-02-23},\n\tjournal = {Journal of Hydrometeorology},\n\tauthor = {Diederich, Malte and Ryzhkov, Alexander and Simmer, Clemens and Zhang, Pengfei and Trömel, Silke},\n\tmonth = apr,\n\tyear = {2015},\n\tpages = {503--516},\n}\n\n\n
\n\n\n
\n Abstract In a series of two papers, rain-rate retrievals based on specific attenuation A at radar X-band wavelength using the R(A) method presented by Ryzhkov et al. are thoroughly investigated. Continuous time series of overlapping measurements from two polarimetric X-band weather radars in Germany during the summers of 2011–13 are used to analyze various aspects of the method, like miscalibration correction, ground clutter contamination, partial beam blockage (PBB), sensitivity to precipitation characteristics, and sensitivity to temperature assumptions in the retrievals. In Part I of the series, the relations inherent to the R(A) method were used to calculate radar reflectivity Z from specific attenuation and it was compared with measured reflectivity to estimate PBB and calibration errors for both radars. In this paper, R(A) rain estimates are compared to R(Z) and R(KDP) retrievals using specific phase shift KDP. PBB and calibration corrections derived in Part I made the R(Z) rainfall estimates almost perfectly consistent. Accumulated over five summer months, rainfall maps showed strong effects of clutter contamination if R(KDP) is used and weaker impact on R(A). These effects could be reduced by processing the phase shift measurements with more resilience toward ground clutter contamination and by substituting problematic R(KDP) or R(A) estimates with R(Z). Hourly and daily accumulations from rain estimators are compared with rain gauge measurements; the results show that R(A) complemented by R(Z) in segments with low total differential phase shift correlates best with gauges and has the lowest bias and RMSE, followed by R(KDP) substituted with R(Z) at rain rates below 8 mm h−1.\n
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\n\n \n \n Eder, F.; Schmidt, M.; Damian, T.; Träumner, K.; and Mauder, M.\n\n\n \n \n \n \n \n Mesoscale Eddies Affect Near-Surface Turbulent Exchange: Evidence from Lidar and Tower Measurements.\n \n \n \n \n\n\n \n\n\n\n
Journal of Applied Meteorology and Climatology, 54(1): 189–206. January 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@article{eder_mesoscale_2015,\n\ttitle = {Mesoscale {Eddies} {Affect} {Near}-{Surface} {Turbulent} {Exchange}: {Evidence} from {Lidar} and {Tower} {Measurements}},\n\tvolume = {54},\n\tissn = {1558-8424, 1558-8432},\n\tshorttitle = {Mesoscale {Eddies} {Affect} {Near}-{Surface} {Turbulent} {Exchange}},\n\turl = {https://journals.ametsoc.org/view/journals/apme/54/1/jamc-d-14-0140.1.xml},\n\tdoi = {10.1175/JAMC-D-14-0140.1},\n\tabstract = {Abstract \n The eddy-covariance technique tends to underestimate turbulent heat fluxes, which results in nonclosure of the surface energy balance. This study shows experimental evidence that mesoscale turbulent organized structures, which are inherently not captured by the standard eddy-covariance technique, can affect near-surface turbulent exchange. By using a combined setup of three Doppler wind lidars above a cropland-dominated area in Germany, low-frequency turbulent structures were detected in the surface layer down to a few meters above ground. In addition, data from two micrometeorological stations in the study area were analyzed with respect to energy balance closure. In accordance with several previous studies, the data confirm a strong friction velocity dependence of the energy balance residual. At both stations, the energy balance residual was found to be positively correlated with the vertical moisture gradient in the lower atmospheric boundary layer, but at only one station was it correlated with the temperature gradient. This result indicates that mesoscale transport probably contributes more to the latent heat flux than to the sensible heat flux, but this conclusion depends largely on the measurement site. Moreover, flow distortion due to tower mountings and measurement devices affects the energy balance closure considerably for certain wind directions.},\n\tnumber = {1},\n\turldate = {2023-02-23},\n\tjournal = {Journal of Applied Meteorology and Climatology},\n\tauthor = {Eder, Fabian and Schmidt, Marius and Damian, Thomas and Träumner, Katja and Mauder, Matthias},\n\tmonth = jan,\n\tyear = {2015},\n\tpages = {189--206},\n}\n\n\n
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\n Abstract The eddy-covariance technique tends to underestimate turbulent heat fluxes, which results in nonclosure of the surface energy balance. This study shows experimental evidence that mesoscale turbulent organized structures, which are inherently not captured by the standard eddy-covariance technique, can affect near-surface turbulent exchange. By using a combined setup of three Doppler wind lidars above a cropland-dominated area in Germany, low-frequency turbulent structures were detected in the surface layer down to a few meters above ground. In addition, data from two micrometeorological stations in the study area were analyzed with respect to energy balance closure. In accordance with several previous studies, the data confirm a strong friction velocity dependence of the energy balance residual. At both stations, the energy balance residual was found to be positively correlated with the vertical moisture gradient in the lower atmospheric boundary layer, but at only one station was it correlated with the temperature gradient. This result indicates that mesoscale transport probably contributes more to the latent heat flux than to the sensible heat flux, but this conclusion depends largely on the measurement site. Moreover, flow distortion due to tower mountings and measurement devices affects the energy balance closure considerably for certain wind directions.\n
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\n\n \n \n Fang, Z.; Bogena, H.; Kollet, S.; Koch, J.; and Vereecken, H.\n\n\n \n \n \n \n \n Spatio-temporal validation of long-term 3D hydrological simulations of a forested catchment using empirical orthogonal functions and wavelet coherence analysis.\n \n \n \n \n\n\n \n\n\n\n
Journal of Hydrology, 529: 1754–1767. October 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@article{fang_spatio-temporal_2015,\n\ttitle = {Spatio-temporal validation of long-term {3D} hydrological simulations of a forested catchment using empirical orthogonal functions and wavelet coherence analysis},\n\tvolume = {529},\n\tissn = {00221694},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0022169415005703},\n\tdoi = {10.1016/j.jhydrol.2015.08.011},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Journal of Hydrology},\n\tauthor = {Fang, Zhufeng and Bogena, Heye and Kollet, Stefan and Koch, Julian and Vereecken, Harry},\n\tmonth = oct,\n\tyear = {2015},\n\tpages = {1754--1767},\n}\n\n\n
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\n\n \n \n Friesen, J.; Lundquist, J.; and Van Stan, J. T.\n\n\n \n \n \n \n \n Evolution of forest precipitation water storage measurement methods: EVOLUTION OF FOREST PRECIPITATION WATER STORAGE MEASUREMENT METHODS.\n \n \n \n \n\n\n \n\n\n\n
Hydrological Processes, 29(11): 2504–2520. May 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@article{friesen_evolution_2015,\n\ttitle = {Evolution of forest precipitation water storage measurement methods: {EVOLUTION} {OF} {FOREST} {PRECIPITATION} {WATER} {STORAGE} {MEASUREMENT} {METHODS}},\n\tvolume = {29},\n\tissn = {08856087},\n\tshorttitle = {Evolution of forest precipitation water storage measurement methods},\n\turl = {https://onlinelibrary.wiley.com/doi/10.1002/hyp.10376},\n\tdoi = {10.1002/hyp.10376},\n\tlanguage = {en},\n\tnumber = {11},\n\turldate = {2023-02-23},\n\tjournal = {Hydrological Processes},\n\tauthor = {Friesen, Jan and Lundquist, Jessica and Van Stan, John T.},\n\tmonth = may,\n\tyear = {2015},\n\tpages = {2504--2520},\n}\n\n\n
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\n\n \n \n Gebler, S.; Hendricks Franssen, H.; Pütz, T.; Post, H.; Schmidt, M.; and Vereecken, H.\n\n\n \n \n \n \n \n Actual evapotranspiration and precipitation measured by lysimeters: a comparison with eddy covariance and tipping bucket.\n \n \n \n \n\n\n \n\n\n\n
Hydrology and Earth System Sciences, 19(5): 2145–2161. May 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@article{gebler_actual_2015,\n\ttitle = {Actual evapotranspiration and precipitation measured by lysimeters: a comparison with eddy covariance and tipping bucket},\n\tvolume = {19},\n\tissn = {1607-7938},\n\tshorttitle = {Actual evapotranspiration and precipitation measured by lysimeters},\n\turl = {https://hess.copernicus.org/articles/19/2145/2015/},\n\tdoi = {10.5194/hess-19-2145-2015},\n\tabstract = {Abstract. This study compares actual evapotranspiration (ETa) measurements by a set of six weighable lysimeters, ETa estimates obtained with the eddy covariance (EC) method, and evapotranspiration calculated with the full-form Penman–Monteith equation (ETPM) for the Rollesbroich site in the Eifel (western Germany). The comparison of ETa measured by EC (including correction of the energy balance deficit) and by lysimeters is rarely reported in the literature and allows more insight into the performance of both methods. An evaluation of ETa for the two methods for the year 2012 shows a good agreement with a total difference of 3.8\\% (19 mm) between the ETa estimates. The highest agreement and smallest relative differences ({\\textless} 8\\%) on a monthly basis between both methods are found in summer. ETa was close to ETPM, indicating that ET was energy limited and not limited by water availability. ETa differences between lysimeter and EC were mainly related to differences in grass height caused by harvest and the EC footprint. The lysimeter data were also used to estimate precipitation amounts in combination with a filter algorithm for the high-precision lysimeters recently introduced by Peters et al. (2014). The estimated precipitation amounts from the lysimeter data differ significantly from precipitation amounts recorded with a standard rain gauge at the Rollesbroich test site. For the complete year 2012 the lysimeter records show a 16 \\% higher precipitation amount than the tipping bucket. After a correction of the tipping bucket measurements by the method of Richter (1995) this amount was reduced to 3\\%. With the help of an on-site camera the precipitation measurements of the lysimeters were analyzed in more detail. It was found that the lysimeters record more precipitation than the tipping bucket, in part related to the detection of rime and dew, which contribute 17\\% to the yearly difference between both methods. In addition, fog and drizzle explain an additional 5.5\\% of the total difference. Larger differences are also recorded for snow and sleet situations. During snowfall, the tipping bucket device underestimated precipitation severely, and these situations contributed also 7.9\\% to the total difference. However, 36\\% of the total yearly difference was associated with snow cover without apparent snowfall, and under these conditions snow bridges and snow drift seem to explain the strong overestimation of precipitation by the lysimeter. The remaining precipitation difference (about 33\\%) could not be explained and did not show a clear relation to wind speed. The variation of the individual lysimeters devices compared to the lysimeter mean are small, showing variations up to 3\\% for precipitation and 8\\% for evapotranspiration.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2023-02-23},\n\tjournal = {Hydrology and Earth System Sciences},\n\tauthor = {Gebler, S. and Hendricks Franssen, H.-J. and Pütz, T. and Post, H. and Schmidt, M. and Vereecken, H.},\n\tmonth = may,\n\tyear = {2015},\n\tpages = {2145--2161},\n}\n\n\n
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\n Abstract. This study compares actual evapotranspiration (ETa) measurements by a set of six weighable lysimeters, ETa estimates obtained with the eddy covariance (EC) method, and evapotranspiration calculated with the full-form Penman–Monteith equation (ETPM) for the Rollesbroich site in the Eifel (western Germany). The comparison of ETa measured by EC (including correction of the energy balance deficit) and by lysimeters is rarely reported in the literature and allows more insight into the performance of both methods. An evaluation of ETa for the two methods for the year 2012 shows a good agreement with a total difference of 3.8% (19 mm) between the ETa estimates. The highest agreement and smallest relative differences (\\textless 8%) on a monthly basis between both methods are found in summer. ETa was close to ETPM, indicating that ET was energy limited and not limited by water availability. ETa differences between lysimeter and EC were mainly related to differences in grass height caused by harvest and the EC footprint. The lysimeter data were also used to estimate precipitation amounts in combination with a filter algorithm for the high-precision lysimeters recently introduced by Peters et al. (2014). The estimated precipitation amounts from the lysimeter data differ significantly from precipitation amounts recorded with a standard rain gauge at the Rollesbroich test site. For the complete year 2012 the lysimeter records show a 16 % higher precipitation amount than the tipping bucket. After a correction of the tipping bucket measurements by the method of Richter (1995) this amount was reduced to 3%. With the help of an on-site camera the precipitation measurements of the lysimeters were analyzed in more detail. It was found that the lysimeters record more precipitation than the tipping bucket, in part related to the detection of rime and dew, which contribute 17% to the yearly difference between both methods. In addition, fog and drizzle explain an additional 5.5% of the total difference. Larger differences are also recorded for snow and sleet situations. During snowfall, the tipping bucket device underestimated precipitation severely, and these situations contributed also 7.9% to the total difference. However, 36% of the total yearly difference was associated with snow cover without apparent snowfall, and under these conditions snow bridges and snow drift seem to explain the strong overestimation of precipitation by the lysimeter. The remaining precipitation difference (about 33%) could not be explained and did not show a clear relation to wind speed. The variation of the individual lysimeters devices compared to the lysimeter mean are small, showing variations up to 3% for precipitation and 8% for evapotranspiration.\n
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\n\n \n \n Großmann, K.; Arndt, T.; Haase, A.; Rink, D.; and Steinführer, A.\n\n\n \n \n \n \n \n The influence of housing oversupply on residential segregation: exploring the post-socialist city of Leipzig $^{\\textrm{†}}$.\n \n \n \n \n\n\n \n\n\n\n
Urban Geography, 36(4): 550–577. May 2015.\n
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@article{grosmann_influence_2015,\n\ttitle = {The influence of housing oversupply on residential segregation: exploring the post-socialist city of {Leipzig} $^{\\textrm{†}}$},\n\tvolume = {36},\n\tissn = {0272-3638, 1938-2847},\n\tshorttitle = {The influence of housing oversupply on residential segregation},\n\turl = {http://www.tandfonline.com/doi/full/10.1080/02723638.2015.1014672},\n\tdoi = {10.1080/02723638.2015.1014672},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2023-06-19},\n\tjournal = {Urban Geography},\n\tauthor = {Großmann, Katrin and Arndt, T. and Haase, A. and Rink, D. and Steinführer, A.},\n\tmonth = may,\n\tyear = {2015},\n\tpages = {550--577},\n}\n\n\n
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\n\n \n \n Hannes, M.; Wollschläger, U.; Schrader, F.; Durner, W.; Gebler, S.; Pütz, T.; Fank, J.; Von Unold, G.; and Vogel, H.\n\n\n \n \n \n \n \n A comprehensive filtering scheme for high-resolution estimation of the water balance components from high-precision lysimeters.\n \n \n \n \n\n\n \n\n\n\n
Hydrology and Earth System Sciences, 19(8): 3405–3418. August 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@article{hannes_comprehensive_2015,\n\ttitle = {A comprehensive filtering scheme for high-resolution estimation of the water balance components from high-precision lysimeters},\n\tvolume = {19},\n\tissn = {1607-7938},\n\turl = {https://hess.copernicus.org/articles/19/3405/2015/},\n\tdoi = {10.5194/hess-19-3405-2015},\n\tabstract = {Abstract. Large weighing lysimeters are currently the most precise method to directly measure all components of the terrestrial water balance in parallel via the built-in weighing system. As lysimeters are exposed to several external forces such as management practices or wind influencing the weighing data, the calculated fluxes of precipitation and evapotranspiration can be altered considerably without having applied appropriate corrections to the raw data. Therefore, adequate filtering schemes for obtaining most accurate estimates of the water balance components are required. In this study, we use data from the TERENO (TERrestrial ENvironmental Observatories) SoilCan research site in Bad Lauchstädt to develop a comprehensive filtering procedure for high-precision lysimeter data, which is designed to deal with various kinds of possible errors starting from the elimination of large disturbances in the raw data resulting e.g., from management practices all the way to the reduction of noise caused e.g., by moderate wind. Furthermore, we analyze the influence of averaging times and thresholds required by some of the filtering steps on the calculated water balance and investigate the ability of two adaptive filtering methods (the adaptive window and adaptive threshold filter (AWAT filter; Peters et al., 2014), and a new synchro filter applicable to the data from a set of several lysimeters) to further reduce the filtering error. Finally, we take advantage of the data sets of all 18 lysimeters running in parallel at the Bad Lauchstädt site to evaluate the performance and accuracy of the proposed filtering scheme. For the tested time interval of 2 months, we show that the estimation of the water balance with high temporal resolution and good accuracy is possible. The filtering code can be downloaded from the journal website as Supplement to this publication.},\n\tlanguage = {en},\n\tnumber = {8},\n\turldate = {2023-02-23},\n\tjournal = {Hydrology and Earth System Sciences},\n\tauthor = {Hannes, M. and Wollschläger, U. and Schrader, F. and Durner, W. and Gebler, S. and Pütz, T. and Fank, J. and Von Unold, G. and Vogel, H.-J.},\n\tmonth = aug,\n\tyear = {2015},\n\tpages = {3405--3418},\n}\n\n\n
\n\n\n
\n Abstract. Large weighing lysimeters are currently the most precise method to directly measure all components of the terrestrial water balance in parallel via the built-in weighing system. As lysimeters are exposed to several external forces such as management practices or wind influencing the weighing data, the calculated fluxes of precipitation and evapotranspiration can be altered considerably without having applied appropriate corrections to the raw data. Therefore, adequate filtering schemes for obtaining most accurate estimates of the water balance components are required. In this study, we use data from the TERENO (TERrestrial ENvironmental Observatories) SoilCan research site in Bad Lauchstädt to develop a comprehensive filtering procedure for high-precision lysimeter data, which is designed to deal with various kinds of possible errors starting from the elimination of large disturbances in the raw data resulting e.g., from management practices all the way to the reduction of noise caused e.g., by moderate wind. Furthermore, we analyze the influence of averaging times and thresholds required by some of the filtering steps on the calculated water balance and investigate the ability of two adaptive filtering methods (the adaptive window and adaptive threshold filter (AWAT filter; Peters et al., 2014), and a new synchro filter applicable to the data from a set of several lysimeters) to further reduce the filtering error. Finally, we take advantage of the data sets of all 18 lysimeters running in parallel at the Bad Lauchstädt site to evaluate the performance and accuracy of the proposed filtering scheme. For the tested time interval of 2 months, we show that the estimation of the water balance with high temporal resolution and good accuracy is possible. The filtering code can be downloaded from the journal website as Supplement to this publication.\n
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\n\n \n \n Heine, I.; Stüve, P.; Kleinschmit, B.; and Itzerott, S.\n\n\n \n \n \n \n \n Reconstruction of Lake Level Changes of Groundwater-Fed Lakes in Northeastern Germany Using RapidEye Time Series.\n \n \n \n \n\n\n \n\n\n\n
Water, 7(12): 4175–4199. July 2015.\n
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@article{heine_reconstruction_2015,\n\ttitle = {Reconstruction of {Lake} {Level} {Changes} of {Groundwater}-{Fed} {Lakes} in {Northeastern} {Germany} {Using} {RapidEye} {Time} {Series}},\n\tvolume = {7},\n\tissn = {2073-4441},\n\turl = {http://www.mdpi.com/2073-4441/7/8/4175},\n\tdoi = {10.3390/w7084175},\n\tlanguage = {en},\n\tnumber = {12},\n\turldate = {2023-02-23},\n\tjournal = {Water},\n\tauthor = {Heine, Iris and Stüve, Peter and Kleinschmit, Birgit and Itzerott, Sibylle},\n\tmonth = jul,\n\tyear = {2015},\n\tpages = {4175--4199},\n}\n\n\n
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\n\n \n \n Herrmann, F.; Keller, L.; Kunkel, R.; Vereecken, H.; and Wendland, F.\n\n\n \n \n \n \n \n Determination of spatially differentiated water balance components including groundwater recharge on the Federal State level – A case study using the mGROWA model in North Rhine-Westphalia (Germany).\n \n \n \n \n\n\n \n\n\n\n
Journal of Hydrology: Regional Studies, 4: 294–312. September 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@article{herrmann_determination_2015,\n\ttitle = {Determination of spatially differentiated water balance components including groundwater recharge on the {Federal} {State} level – {A} case study using the {mGROWA} model in {North} {Rhine}-{Westphalia} ({Germany})},\n\tvolume = {4},\n\tissn = {22145818},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S2214581815000804},\n\tdoi = {10.1016/j.ejrh.2015.06.018},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Journal of Hydrology: Regional Studies},\n\tauthor = {Herrmann, Frank and Keller, Luise and Kunkel, Ralf and Vereecken, Harry and Wendland, Frank},\n\tmonth = sep,\n\tyear = {2015},\n\tpages = {294--312},\n}\n\n\n
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\n\n \n \n Hoesel, A.; Hoek, W. Z.; Pennock, G. M.; Kaiser, K.; Plümper, O.; Jankowski, M.; Hamers, M. F.; Schlaak, N.; Küster, M.; Andronikov, A. V.; and Drury, M. R.\n\n\n \n \n \n \n \n A search for shocked quartz grains in the Allerød‐Younger Dryas boundary layer.\n \n \n \n \n\n\n \n\n\n\n
Meteoritics & Planetary Science, 50(3): 483–498. March 2015.\n
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@article{hoesel_search_2015,\n\ttitle = {A search for shocked quartz grains in the {Allerød}‐{Younger} {Dryas} boundary layer},\n\tvolume = {50},\n\tissn = {1086-9379, 1945-5100},\n\turl = {https://onlinelibrary.wiley.com/doi/10.1111/maps.12435},\n\tdoi = {10.1111/maps.12435},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2023-02-23},\n\tjournal = {Meteoritics \\& Planetary Science},\n\tauthor = {Hoesel, Annelies and Hoek, Wim Z. and Pennock, Gillian M. and Kaiser, Knut and Plümper, Oliver and Jankowski, Michal and Hamers, Maartje F. and Schlaak, Norbert and Küster, Mathias and Andronikov, Alexander V. and Drury, Martyn R.},\n\tmonth = mar,\n\tyear = {2015},\n\tpages = {483--498},\n}\n\n\n
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\n\n \n \n Ippolito, A.; Kattwinkel, M.; Rasmussen, J. J.; Schäfer, R. B.; Fornaroli, R.; and Liess, M.\n\n\n \n \n \n \n \n Modeling global distribution of agricultural insecticides in surface waters.\n \n \n \n \n\n\n \n\n\n\n
Environmental Pollution, 198: 54–60. March 2015.\n
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@article{ippolito_modeling_2015,\n\ttitle = {Modeling global distribution of agricultural insecticides in surface waters},\n\tvolume = {198},\n\tissn = {02697491},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0269749114005168},\n\tdoi = {10.1016/j.envpol.2014.12.016},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Environmental Pollution},\n\tauthor = {Ippolito, Alessio and Kattwinkel, Mira and Rasmussen, Jes J. and Schäfer, Ralf B. and Fornaroli, Riccardo and Liess, Matthias},\n\tmonth = mar,\n\tyear = {2015},\n\tpages = {54--60},\n}\n\n\n
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\n\n \n \n Iwema, J.; Rosolem, R.; Baatz, R.; Wagener, T.; and Bogena, H. R.\n\n\n \n \n \n \n \n Investigating temporal field sampling strategies for site-specific calibration of three soil moisture–neutron intensity parameterisation methods.\n \n \n \n \n\n\n \n\n\n\n
Hydrology and Earth System Sciences, 19(7): 3203–3216. July 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@article{iwema_investigating_2015,\n\ttitle = {Investigating temporal field sampling strategies for site-specific calibration of three soil moisture–neutron intensity parameterisation methods},\n\tvolume = {19},\n\tissn = {1607-7938},\n\turl = {https://hess.copernicus.org/articles/19/3203/2015/},\n\tdoi = {10.5194/hess-19-3203-2015},\n\tabstract = {Abstract. The Cosmic-Ray Neutron Sensor (CRNS) can provide soil moisture information at scales relevant to hydrometeorological modelling applications. Site-specific calibration is needed to translate CRNS neutron intensities into sensor footprint average soil moisture contents. We investigated temporal sampling strategies for calibration of three CRNS parameterisations (modified N0, HMF, and COSMIC) by assessing the effects of the number of sampling days and soil wetness conditions on the performance of the calibration results while investigating actual neutron intensity measurements, for three sites with distinct climate and land use: a semi-arid site, a temperate grassland, and a temperate forest. When calibrated with 1 year of data, both COSMIC and the modified N0 method performed better than HMF. The performance of COSMIC was remarkably good at the semi-arid site in the USA, while the N0mod performed best at the two temperate sites in Germany. The successful performance of COSMIC at all three sites can be attributed to the benefits of explicitly resolving individual soil layers (which is not accounted for in the other two parameterisations). To better calibrate these parameterisations, we recommend in situ soil sampled to be collected on more than a single day. However, little improvement is observed for sampling on more than 6 days. At the semi-arid site, the N0mod method was calibrated better under site-specific average wetness conditions, whereas HMF and COSMIC were calibrated better under drier conditions. Average soil wetness condition gave better calibration results at the two humid sites. The calibration results for the HMF method were better when calibrated with combinations of days with similar soil wetness conditions, opposed to N0mod and COSMIC, which profited from using days with distinct wetness conditions. Errors in actual neutron intensities were translated to average errors specifically to each site. At the semi-arid site, these errors were below the typical measurement uncertainties from in situ point-scale sensors and satellite remote sensing products. Nevertheless, at the two humid sites, reduction in uncertainty with increasing sampling days only reached typical errors associated with satellite remote sensing products. The outcomes of this study can be used by researchers as a CRNS calibration strategy guideline.},\n\tlanguage = {en},\n\tnumber = {7},\n\turldate = {2023-02-23},\n\tjournal = {Hydrology and Earth System Sciences},\n\tauthor = {Iwema, J. and Rosolem, R. and Baatz, R. and Wagener, T. and Bogena, H. R.},\n\tmonth = jul,\n\tyear = {2015},\n\tpages = {3203--3216},\n}\n\n\n
\n\n\n
\n Abstract. The Cosmic-Ray Neutron Sensor (CRNS) can provide soil moisture information at scales relevant to hydrometeorological modelling applications. Site-specific calibration is needed to translate CRNS neutron intensities into sensor footprint average soil moisture contents. We investigated temporal sampling strategies for calibration of three CRNS parameterisations (modified N0, HMF, and COSMIC) by assessing the effects of the number of sampling days and soil wetness conditions on the performance of the calibration results while investigating actual neutron intensity measurements, for three sites with distinct climate and land use: a semi-arid site, a temperate grassland, and a temperate forest. When calibrated with 1 year of data, both COSMIC and the modified N0 method performed better than HMF. The performance of COSMIC was remarkably good at the semi-arid site in the USA, while the N0mod performed best at the two temperate sites in Germany. The successful performance of COSMIC at all three sites can be attributed to the benefits of explicitly resolving individual soil layers (which is not accounted for in the other two parameterisations). To better calibrate these parameterisations, we recommend in situ soil sampled to be collected on more than a single day. However, little improvement is observed for sampling on more than 6 days. At the semi-arid site, the N0mod method was calibrated better under site-specific average wetness conditions, whereas HMF and COSMIC were calibrated better under drier conditions. Average soil wetness condition gave better calibration results at the two humid sites. The calibration results for the HMF method were better when calibrated with combinations of days with similar soil wetness conditions, opposed to N0mod and COSMIC, which profited from using days with distinct wetness conditions. Errors in actual neutron intensities were translated to average errors specifically to each site. At the semi-arid site, these errors were below the typical measurement uncertainties from in situ point-scale sensors and satellite remote sensing products. Nevertheless, at the two humid sites, reduction in uncertainty with increasing sampling days only reached typical errors associated with satellite remote sensing products. The outcomes of this study can be used by researchers as a CRNS calibration strategy guideline.\n
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\n\n \n \n Jagdhuber, T.; Hajnsek, I.; and Papathanassiou, K. P.\n\n\n \n \n \n \n \n An Iterative Generalized Hybrid Decomposition for Soil Moisture Retrieval Under Vegetation Cover Using Fully Polarimetric SAR.\n \n \n \n \n\n\n \n\n\n\n
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(8): 3911–3922. August 2015.\n
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@article{jagdhuber_iterative_2015,\n\ttitle = {An {Iterative} {Generalized} {Hybrid} {Decomposition} for {Soil} {Moisture} {Retrieval} {Under} {Vegetation} {Cover} {Using} {Fully} {Polarimetric} {SAR}},\n\tvolume = {8},\n\tissn = {1939-1404, 2151-1535},\n\turl = {https://ieeexplore.ieee.org/document/6977883/},\n\tdoi = {10.1109/JSTARS.2014.2371468},\n\tnumber = {8},\n\turldate = {2023-06-19},\n\tjournal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},\n\tauthor = {Jagdhuber, Thomas and Hajnsek, Irena and Papathanassiou, Konstantinos P.},\n\tmonth = aug,\n\tyear = {2015},\n\tpages = {3911--3922},\n}\n\n\n
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\n\n \n \n Jiang, S.; Jomaa, S.; Büttner, O.; Meon, G.; and Rode, M.\n\n\n \n \n \n \n \n Multi-site identification of a distributed hydrological nitrogen model using Bayesian uncertainty analysis.\n \n \n \n \n\n\n \n\n\n\n
Journal of Hydrology, 529: 940–950. October 2015.\n
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@article{jiang_multi-site_2015,\n\ttitle = {Multi-site identification of a distributed hydrological nitrogen model using {Bayesian} uncertainty analysis},\n\tvolume = {529},\n\tissn = {00221694},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0022169415006927},\n\tdoi = {10.1016/j.jhydrol.2015.09.009},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Journal of Hydrology},\n\tauthor = {Jiang, Sanyuan and Jomaa, Seifeddine and Büttner, Olaf and Meon, Günter and Rode, Michael},\n\tmonth = oct,\n\tyear = {2015},\n\tpages = {940--950},\n}\n\n\n
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\n\n \n \n Jonard, F.; Weihermuller, L.; Schwank, M.; Jadoon, K. Z.; Vereecken, H.; and Lambot, S.\n\n\n \n \n \n \n \n Estimation of Hydraulic Properties of a Sandy Soil Using Ground-Based Active and Passive Microwave Remote Sensing.\n \n \n \n \n\n\n \n\n\n\n
IEEE Transactions on Geoscience and Remote Sensing, 53(6): 3095–3109. June 2015.\n
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@article{jonard_estimation_2015,\n\ttitle = {Estimation of {Hydraulic} {Properties} of a {Sandy} {Soil} {Using} {Ground}-{Based} {Active} and {Passive} {Microwave} {Remote} {Sensing}},\n\tvolume = {53},\n\tissn = {0196-2892, 1558-0644},\n\turl = {http://ieeexplore.ieee.org/document/7027207/},\n\tdoi = {10.1109/TGRS.2014.2368831},\n\tnumber = {6},\n\turldate = {2023-02-23},\n\tjournal = {IEEE Transactions on Geoscience and Remote Sensing},\n\tauthor = {Jonard, Francois and Weihermuller, Lutz and Schwank, Mike and Jadoon, Khan Zaib and Vereecken, Harry and Lambot, Sebastien},\n\tmonth = jun,\n\tyear = {2015},\n\tpages = {3095--3109},\n}\n\n\n
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\n\n \n \n Kaiser, K.; Dreibrodt, J.; Küster, M.; and Stüve, P.\n\n\n \n \n \n \n Die hydrologische Entwicklung des Großen Fürstenseer Sees (Müritz-Nationalpark) im letzten Jahrtausend – Ein Überblick.\n \n \n \n\n\n \n\n\n\n In pages 61–81. September 2015.\n
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@incollection{kaiser_hydrologische_2015,\n\ttitle = {Die hydrologische {Entwicklung} des {Großen} {Fürstenseer} {Sees} ({Müritz}-{Nationalpark}) im letzten {Jahrtausend} – {Ein} Überblick},\n\tauthor = {Kaiser, Knut and Dreibrodt, Janek and Küster, Mathias and Stüve, Peter},\n\tmonth = sep,\n\tyear = {2015},\n\tpages = {61--81},\n}\n\n\n
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\n\n \n \n Kaiser, K.; Heinrich, I.; Heine, I.; Natkhin, M.; Dannowski, R.; Lischeid, G.; Schneider, T.; Henkel, J.; Küster, M.; Heussner, K.; Bens, O.; and Chmieleski, J.\n\n\n \n \n \n \n \n Multi-decadal lake-level dynamics in north-eastern Germany as derived by a combination of gauging, proxy-data and modelling.\n \n \n \n \n\n\n \n\n\n\n
Journal of Hydrology, 529: 584–599. October 2015.\n
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@article{kaiser_multi-decadal_2015,\n\ttitle = {Multi-decadal lake-level dynamics in north-eastern {Germany} as derived by a combination of gauging, proxy-data and modelling},\n\tvolume = {529},\n\tissn = {00221694},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0022169415000025},\n\tdoi = {10.1016/j.jhydrol.2014.12.057},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Journal of Hydrology},\n\tauthor = {Kaiser, Knut and Heinrich, Ingo and Heine, Iris and Natkhin, Marco and Dannowski, Ralf and Lischeid, Gunnar and Schneider, Thomas and Henkel, Johanna and Küster, Mathias and Heussner, Karl-Uwe and Bens, Oliver and Chmieleski, Jana},\n\tmonth = oct,\n\tyear = {2015},\n\tpages = {584--599},\n}\n\n\n
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\n\n \n \n Kaiser, K.; Kobel, J.; Korzetz, A.; Lehmann, T.; and Schwabe, M.\n\n\n \n \n \n \n Bibliographie wissenschaftlicher und populärwissenschaftlicher Arbeiten mit Bezug zum Teilgebiet Serrahn des Müritz-Nationalparks und Umgebung – Titel 1986-2015.\n \n \n \n\n\n \n\n\n\n In pages 259–276. August 2015.\n
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@incollection{kaiser_bibliographie_2015,\n\ttitle = {Bibliographie wissenschaftlicher und populärwissenschaftlicher {Arbeiten} mit {Bezug} zum {Teilgebiet} {Serrahn} des {Müritz}-{Nationalparks} und {Umgebung} – {Titel} 1986-2015},\n\tauthor = {Kaiser, Knut and Kobel, Joachim and Korzetz, Alf and Lehmann, Tobias and Schwabe, Matthias},\n\tmonth = aug,\n\tyear = {2015},\n\tpages = {259--276},\n}\n\n\n
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\n\n \n \n Kaiser, K.; Kobel, J.; Küster, M.; and Schwabe, M.\n\n\n \n \n \n \n Neue Beiträge zum Naturraum und zur Landschaftsgeschichte im Teilgebiet Serrahn des Müritz-Nationalparks [New contributions to the environment and landscape history in the Serrahn sub-area of the Müritz National Park, NE Germany].\n \n \n \n\n\n \n\n\n\n September 2015.\n
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@book{kaiser_neue_2015,\n\ttitle = {Neue {Beiträge} zum {Naturraum} und zur {Landschaftsgeschichte} im {Teilgebiet} {Serrahn} des {Müritz}-{Nationalparks} [{New} contributions to the environment and landscape history in the {Serrahn} sub-area of the {Müritz} {National} {Park}, {NE} {Germany}]},\n\tauthor = {Kaiser, Knut and Kobel, Joachim and Küster, Mathias and Schwabe, Matthias},\n\tmonth = sep,\n\tyear = {2015},\n}\n\n\n
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\n\n \n \n Kamjunke, N.; Herzsprung, P.; and Neu, T. R.\n\n\n \n \n \n \n \n Quality of dissolved organic matter affects planktonic but not biofilm bacterial production in streams.\n \n \n \n \n\n\n \n\n\n\n
Science of The Total Environment, 506-507: 353–360. February 2015.\n
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@article{kamjunke_quality_2015,\n\ttitle = {Quality of dissolved organic matter affects planktonic but not biofilm bacterial production in streams},\n\tvolume = {506-507},\n\tissn = {00489697},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0048969714016258},\n\tdoi = {10.1016/j.scitotenv.2014.11.043},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Science of The Total Environment},\n\tauthor = {Kamjunke, Norbert and Herzsprung, Peter and Neu, Thomas R.},\n\tmonth = feb,\n\tyear = {2015},\n\tpages = {353--360},\n}\n\n\n
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\n\n \n \n Kamjunke, N.; Mages, M.; Büttner, O.; Marcus, H.; and Weitere, M.\n\n\n \n \n \n \n \n Relationship between the elemental composition of stream biofilms and water chemistry—a catchment approach.\n \n \n \n \n\n\n \n\n\n\n
Environmental Monitoring and Assessment, 187(7): 432. July 2015.\n
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@article{kamjunke_relationship_2015,\n\ttitle = {Relationship between the elemental composition of stream biofilms and water chemistry—a catchment approach},\n\tvolume = {187},\n\tissn = {0167-6369, 1573-2959},\n\turl = {http://link.springer.com/10.1007/s10661-015-4664-6},\n\tdoi = {10.1007/s10661-015-4664-6},\n\tlanguage = {en},\n\tnumber = {7},\n\turldate = {2023-02-23},\n\tjournal = {Environmental Monitoring and Assessment},\n\tauthor = {Kamjunke, Norbert and Mages, Margarete and Büttner, Olaf and Marcus, Hanna and Weitere, Markus},\n\tmonth = jul,\n\tyear = {2015},\n\tpages = {432},\n}\n\n\n
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\n\n \n \n Kraus, D.; Weller, S.; Klatt, S.; Haas, E.; Wassmann, R.; Kiese, R.; and Butterbach-Bahl, K.\n\n\n \n \n \n \n \n A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems.\n \n \n \n \n\n\n \n\n\n\n
Plant and Soil, 386(1-2): 125–149. January 2015.\n
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@article{kraus_new_2015,\n\ttitle = {A new {LandscapeDNDC} biogeochemical module to predict {CH4} and {N2O} emissions from lowland rice and upland cropping systems},\n\tvolume = {386},\n\tissn = {0032-079X, 1573-5036},\n\turl = {http://link.springer.com/10.1007/s11104-014-2255-x},\n\tdoi = {10.1007/s11104-014-2255-x},\n\tlanguage = {en},\n\tnumber = {1-2},\n\turldate = {2023-02-23},\n\tjournal = {Plant and Soil},\n\tauthor = {Kraus, David and Weller, Sebastian and Klatt, Steffen and Haas, Edwin and Wassmann, Reiner and Kiese, Ralf and Butterbach-Bahl, Klaus},\n\tmonth = jan,\n\tyear = {2015},\n\tpages = {125--149},\n}\n\n\n
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\n\n \n \n Lane, C.; Brauer, A; Martín-Puertas, C; Blockley, S.; Smith, V.; and Tomlinson, E.\n\n\n \n \n \n \n \n The Late Quaternary tephrostratigraphy of annually laminated sediments from Meerfelder Maar, Germany.\n \n \n \n \n\n\n \n\n\n\n . August 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@article{lane_late_2015,\n\ttitle = {The {Late} {Quaternary} tephrostratigraphy of annually laminated sediments from {Meerfelder} {Maar}, {Germany}},\n\tcopyright = {Attribution-NonCommercial-NoDerivatives 4.0 International, Attribution-NonCommercial-NoDerivatives 4.0 International, Attribution-NonCommercial-NoDerivatives 4.0 International, Attribution-NonCommercial-NoDerivatives 4.0 International, Attribution-NonCommercial-NoDerivatives 4.0 International, Creative Commons Attribution Non Commercial No Derivatives 4.0 International, Creative Commons Attribution Non Commercial No Derivatives 4.0 International, Creative Commons Attribution Non Commercial No Derivatives 4.0 International, Creative Commons Attribution Non Commercial No Derivatives 4.0 International, Creative Commons Attribution Non Commercial No Derivatives 4.0 International},\n\turl = {https://www.repository.cam.ac.uk/handle/1810/261308},\n\tdoi = {10.17863/CAM.6482},\n\tabstract = {© 2015 Elsevier Ltd.The record of Late Quaternary environmental change within the sediments of Meerfelder Maar in the Eifel region of Germany is renowned for its high precision chronology, which is annually laminated throughout the Last Glacial to Interglacial transition (LGIT) and most of the Holocene. Two visible tephra layers are prominent within the floating varve chronology of Meerfelder Maar. An Early Holocene tephra layer, the Ulmener Maar Tephra ({\\textasciitilde}11,000 varve years BP), provides a tie-line of the Meerfelder Maar record to the varved Holocene record of nearby Lake Holzmaar. The Laacher See Tephra provides another prominent time marker for the late Allerød, {\\textasciitilde}200 varve years before the transition into the Younger Dryas at 12,680 varve years BP. Further investigation has now shown that there are also 15 cryptotephra layers within the Meerfelder Maar LGIT-Holocene stratigraphy and these layers hold the potential to make direct comparisons between the Meerfelder Maar record and other palaeoenvironmental archives from across Europe and the North Atlantic. Most notable is the presence of the Vedde Ash, the most widespread Icelandic eruption known from the Late Quaternary, which occurred midway through the Younger Dryas. The Vedde Ash has also been found in the Greenland ice cores and can be used as an isochron around which the GICC05 and Meerfelder Maar annual chronologies can be compared. Near the base of the annual laminations in Meerfelder Maar a cryptotephra is found that correlates to the Neapolitan Yellow Tuff, erupted from Campi Flegrei in southern Italy, 1200km away. This is the furthest north that the Neapolitan Yellow Tuff has been found, highlighting its importance in the construction of a European-wide tephrostratigraphic framework. The co-location of cryptotephra layers from Italian, Icelandic and Eifel volcanic sources, within such a precise chronological record, makes Meerfelder Maar one of the most important tephrostratotype records for continental Europe during the Last Glacial to Interglacial transition.},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tauthor = {Lane, CS and Brauer, A and Martín-Puertas, C and Blockley, SPE and Smith, VC and Tomlinson, EL},\n\tcollaborator = {{Apollo-University Of Cambridge Repository} and {Apollo-University Of Cambridge Repository}},\n\tmonth = aug,\n\tyear = {2015},\n}\n\n\n
\n\n\n
\n © 2015 Elsevier Ltd.The record of Late Quaternary environmental change within the sediments of Meerfelder Maar in the Eifel region of Germany is renowned for its high precision chronology, which is annually laminated throughout the Last Glacial to Interglacial transition (LGIT) and most of the Holocene. Two visible tephra layers are prominent within the floating varve chronology of Meerfelder Maar. An Early Holocene tephra layer, the Ulmener Maar Tephra (~11,000 varve years BP), provides a tie-line of the Meerfelder Maar record to the varved Holocene record of nearby Lake Holzmaar. The Laacher See Tephra provides another prominent time marker for the late Allerød, ~200 varve years before the transition into the Younger Dryas at 12,680 varve years BP. Further investigation has now shown that there are also 15 cryptotephra layers within the Meerfelder Maar LGIT-Holocene stratigraphy and these layers hold the potential to make direct comparisons between the Meerfelder Maar record and other palaeoenvironmental archives from across Europe and the North Atlantic. Most notable is the presence of the Vedde Ash, the most widespread Icelandic eruption known from the Late Quaternary, which occurred midway through the Younger Dryas. The Vedde Ash has also been found in the Greenland ice cores and can be used as an isochron around which the GICC05 and Meerfelder Maar annual chronologies can be compared. Near the base of the annual laminations in Meerfelder Maar a cryptotephra is found that correlates to the Neapolitan Yellow Tuff, erupted from Campi Flegrei in southern Italy, 1200km away. This is the furthest north that the Neapolitan Yellow Tuff has been found, highlighting its importance in the construction of a European-wide tephrostratigraphic framework. The co-location of cryptotephra layers from Italian, Icelandic and Eifel volcanic sources, within such a precise chronological record, makes Meerfelder Maar one of the most important tephrostratotype records for continental Europe during the Last Glacial to Interglacial transition.\n
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\n\n \n \n Lausch, A.; Salbach, C.; Schmidt, A.; Doktor, D.; Merbach, I.; and Pause, M.\n\n\n \n \n \n \n \n Deriving phenology of barley with imaging hyperspectral remote sensing.\n \n \n \n \n\n\n \n\n\n\n
Ecological Modelling, 295: 123–135. January 2015.\n
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@article{lausch_deriving_2015,\n\ttitle = {Deriving phenology of barley with imaging hyperspectral remote sensing},\n\tvolume = {295},\n\tissn = {03043800},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0304380014004670},\n\tdoi = {10.1016/j.ecolmodel.2014.10.001},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Ecological Modelling},\n\tauthor = {Lausch, Angela and Salbach, Christoph and Schmidt, Andreas and Doktor, Daniel and Merbach, Ines and Pause, Marion},\n\tmonth = jan,\n\tyear = {2015},\n\tpages = {123--135},\n}\n\n\n
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\n\n \n \n Löhnert, U.; Schween, J. H.; Acquistapace, C.; Ebell, K.; Maahn, M.; Barrera-Verdejo, M.; Hirsikko, A.; Bohn, B.; Knaps, A.; O’Connor, E.; Simmer, C.; Wahner, A.; and Crewell, S.\n\n\n \n \n \n \n \n JOYCE: Jülich Observatory for Cloud Evolution.\n \n \n \n \n\n\n \n\n\n\n
Bulletin of the American Meteorological Society, 96(7): 1157–1174. July 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@article{lohnert_joyce_2015,\n\ttitle = {{JOYCE}: {Jülich} {Observatory} for {Cloud} {Evolution}},\n\tvolume = {96},\n\tissn = {0003-0007, 1520-0477},\n\tshorttitle = {{JOYCE}},\n\turl = {https://journals.ametsoc.org/doi/10.1175/BAMS-D-14-00105.1},\n\tdoi = {10.1175/BAMS-D-14-00105.1},\n\tabstract = {Abstract \n The Jülich Observatory for Cloud Evolution (JOYCE), located at Forschungszentrum Jülich in the most western part of Germany, is a recently established platform for cloud research. The main objective of JOYCE is to provide observations, which improve our understanding of the cloudy boundary layer in a midlatitude environment. Continuous and temporally highly resolved measurements that are specifically suited to characterize the diurnal cycle of water vapor, stability, and turbulence in the lower troposphere are performed with a special focus on atmosphere–surface interaction. In addition, instruments are set up to measure the micro- and macrophysical properties of clouds in detail and how they interact with different boundary layer processes and the large-scale synoptic situation. For this, JOYCE is equipped with an array of state-of-the-art active and passive remote sensing and in situ instruments, which are briefly described in this scientific overview. As an example, a 24-h time series of the evolution of a typical cumulus cloud-topped boundary layer is analyzed with respect to stability, turbulence, and cloud properties. Additionally, we present longer-term statistics, which can be used to elucidate the diurnal cycle of water vapor, drizzle formation through autoconversion, and warm versus cold rain precipitation formation. Both case studies and long-term observations are important for improving the representation of clouds in climate and numerical weather prediction models.},\n\tlanguage = {en},\n\tnumber = {7},\n\turldate = {2023-02-23},\n\tjournal = {Bulletin of the American Meteorological Society},\n\tauthor = {Löhnert, U. and Schween, J. H. and Acquistapace, C. and Ebell, K. and Maahn, M. and Barrera-Verdejo, M. and Hirsikko, A. and Bohn, B. and Knaps, A. and O’Connor, E. and Simmer, C. and Wahner, A. and Crewell, S.},\n\tmonth = jul,\n\tyear = {2015},\n\tpages = {1157--1174},\n}\n\n\n
\n\n\n
\n Abstract The Jülich Observatory for Cloud Evolution (JOYCE), located at Forschungszentrum Jülich in the most western part of Germany, is a recently established platform for cloud research. The main objective of JOYCE is to provide observations, which improve our understanding of the cloudy boundary layer in a midlatitude environment. Continuous and temporally highly resolved measurements that are specifically suited to characterize the diurnal cycle of water vapor, stability, and turbulence in the lower troposphere are performed with a special focus on atmosphere–surface interaction. In addition, instruments are set up to measure the micro- and macrophysical properties of clouds in detail and how they interact with different boundary layer processes and the large-scale synoptic situation. For this, JOYCE is equipped with an array of state-of-the-art active and passive remote sensing and in situ instruments, which are briefly described in this scientific overview. As an example, a 24-h time series of the evolution of a typical cumulus cloud-topped boundary layer is analyzed with respect to stability, turbulence, and cloud properties. Additionally, we present longer-term statistics, which can be used to elucidate the diurnal cycle of water vapor, drizzle formation through autoconversion, and warm versus cold rain precipitation formation. Both case studies and long-term observations are important for improving the representation of clouds in climate and numerical weather prediction models.\n
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\n\n \n \n Martini, E.; Wollschläger, U.; Kögler, S.; Behrens, T.; Dietrich, P.; Reinstorf, F.; Schmidt, K.; Weiler, M.; Werban, U.; and Zacharias, S.\n\n\n \n \n \n \n \n Spatial and Temporal Dynamics of Hillslope-Scale Soil Moisture Patterns: Characteristic States and Transition Mechanisms.\n \n \n \n \n\n\n \n\n\n\n
Vadose Zone Journal, 14(4): vzj2014.10.0150. April 2015.\n
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@article{martini_spatial_2015,\n\ttitle = {Spatial and {Temporal} {Dynamics} of {Hillslope}-{Scale} {Soil} {Moisture} {Patterns}: {Characteristic} {States} and {Transition} {Mechanisms}},\n\tvolume = {14},\n\tissn = {15391663},\n\tshorttitle = {Spatial and {Temporal} {Dynamics} of {Hillslope}-{Scale} {Soil} {Moisture} {Patterns}},\n\turl = {http://doi.wiley.com/10.2136/vzj2014.10.0150},\n\tdoi = {10.2136/vzj2014.10.0150},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2023-02-23},\n\tjournal = {Vadose Zone Journal},\n\tauthor = {Martini, Edoardo and Wollschläger, Ute and Kögler, Simon and Behrens, Thorsten and Dietrich, Peter and Reinstorf, Frido and Schmidt, Karsten and Weiler, Markus and Werban, Ulrike and Zacharias, Steffen},\n\tmonth = apr,\n\tyear = {2015},\n\tpages = {vzj2014.10.0150},\n}\n\n\n
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\n\n \n \n Molina-Herrera, S.; Grote, R.; Santabárbara-Ruiz, I.; Kraus, D.; Klatt, S.; Haas, E.; Kiese, R.; and Butterbach-Bahl, K.\n\n\n \n \n \n \n \n Simulation of CO2 Fluxes in European Forest Ecosystems with the Coupled Soil-Vegetation Process Model “LandscapeDNDC”.\n \n \n \n \n\n\n \n\n\n\n
Forests, 6(12): 1779–1809. May 2015.\n
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@article{molina-herrera_simulation_2015,\n\ttitle = {Simulation of {CO2} {Fluxes} in {European} {Forest} {Ecosystems} with the {Coupled} {Soil}-{Vegetation} {Process} {Model} “{LandscapeDNDC}”},\n\tvolume = {6},\n\tissn = {1999-4907},\n\turl = {http://www.mdpi.com/1999-4907/6/6/1779},\n\tdoi = {10.3390/f6061779},\n\tlanguage = {en},\n\tnumber = {12},\n\turldate = {2023-02-23},\n\tjournal = {Forests},\n\tauthor = {Molina-Herrera, Saúl and Grote, Rüdiger and Santabárbara-Ruiz, Ignacio and Kraus, David and Klatt, Steffen and Haas, Edwin and Kiese, Ralf and Butterbach-Bahl, Klaus},\n\tmonth = may,\n\tyear = {2015},\n\tpages = {1779--1809},\n}\n\n\n
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\n\n \n \n Orlinskiy, P.; Münze, R.; Beketov, M.; Gunold, R.; Paschke, A.; Knillmann, S.; and Liess, M.\n\n\n \n \n \n \n \n Forested headwaters mitigate pesticide effects on macroinvertebrate communities in streams: Mechanisms and quantification.\n \n \n \n \n\n\n \n\n\n\n
Science of The Total Environment, 524-525: 115–123. August 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@article{orlinskiy_forested_2015,\n\ttitle = {Forested headwaters mitigate pesticide effects on macroinvertebrate communities in streams: {Mechanisms} and quantification},\n\tvolume = {524-525},\n\tissn = {00489697},\n\tshorttitle = {Forested headwaters mitigate pesticide effects on macroinvertebrate communities in streams},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0048969715004271},\n\tdoi = {10.1016/j.scitotenv.2015.03.143},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Science of The Total Environment},\n\tauthor = {Orlinskiy, Polina and Münze, Ronald and Beketov, Mikhail and Gunold, Roman and Paschke, Albrecht and Knillmann, Saskia and Liess, Matthias},\n\tmonth = aug,\n\tyear = {2015},\n\tpages = {115--123},\n}\n\n\n
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\n\n \n \n Paine, C. E. T.; Amissah, L.; Auge, H.; Baraloto, C.; Baruffol, M.; Bourland, N.; Bruelheide, H.; Daïnou, K.; De Gouvenain, R. C.; Doucet, J.; Doust, S.; Fine, P. V. A.; Fortunel, C.; Haase, J.; Holl, K. D.; Jactel, H.; Li, X.; Kitajima, K.; Koricheva, J.; Martínez-Garza, C.; Messier, C.; Paquette, A.; Philipson, C.; Piotto, D.; Poorter, L.; Posada, J. M.; Potvin, C.; Rainio, K.; Russo, S. E.; Ruiz-Jaen, M.; Scherer-Lorenzen, M.; Webb, C. O.; Wright, S. J.; Zahawi, R. A.; and Hector, A.\n\n\n \n \n \n \n \n Globally, functional traits are weak predictors of juvenile tree growth, and we do not know why.\n \n \n \n \n\n\n \n\n\n\n
Journal of Ecology, 103(4): 978–989. July 2015.\n
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@article{paine_globally_2015,\n\ttitle = {Globally, functional traits are weak predictors of juvenile tree growth, and we do not know why},\n\tvolume = {103},\n\tissn = {00220477},\n\turl = {https://onlinelibrary.wiley.com/doi/10.1111/1365-2745.12401},\n\tdoi = {10.1111/1365-2745.12401},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2023-02-23},\n\tjournal = {Journal of Ecology},\n\tauthor = {Paine, C. E. Timothy and Amissah, Lucy and Auge, Harald and Baraloto, Christopher and Baruffol, Martin and Bourland, Nils and Bruelheide, Helge and Daïnou, Kasso and De Gouvenain, Roland C. and Doucet, Jean-Louis and Doust, Susan and Fine, Paul V. A. and Fortunel, Claire and Haase, Josephine and Holl, Karen D. and Jactel, Hervé and Li, Xuefei and Kitajima, Kaoru and Koricheva, Julia and Martínez-Garza, Cristina and Messier, Christian and Paquette, Alain and Philipson, Christopher and Piotto, Daniel and Poorter, Lourens and Posada, Juan M. and Potvin, Catherine and Rainio, Kalle and Russo, Sabrina E. and Ruiz-Jaen, Mariacarmen and Scherer-Lorenzen, Michael and Webb, Campbell O. and Wright, S. Joseph and Zahawi, Rakan A. and Hector, Andy},\n\teditor = {Gibson, David},\n\tmonth = jul,\n\tyear = {2015},\n\tpages = {978--989},\n}\n\n\n
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\n\n \n \n Petrescu, A. M. R.; Lohila, A.; Tuovinen, J.; Baldocchi, D. D.; Desai, A. R.; Roulet, N. T.; Vesala, T.; Dolman, A. J.; Oechel, W. C.; Marcolla, B.; Friborg, T.; Rinne, J.; Matthes, J. H.; Merbold, L.; Meijide, A.; Kiely, G.; Sottocornola, M.; Sachs, T.; Zona, D.; Varlagin, A.; Lai, D. Y. F.; Veenendaal, E.; Parmentier, F. W.; Skiba, U.; Lund, M.; Hensen, A.; Van Huissteden, J.; Flanagan, L. B.; Shurpali, N. J.; Grünwald, T.; Humphreys, E. R.; Jackowicz-Korczyński, M.; Aurela, M. A.; Laurila, T.; Grüning, C.; Corradi, C. A. R.; Schrier-Uijl, A. P.; Christensen, T. R.; Tamstorf, M. P.; Mastepanov, M.; Martikainen, P. J.; Verma, S. B.; Bernhofer, C.; and Cescatti, A.\n\n\n \n \n \n \n \n The uncertain climate footprint of wetlands under human pressure.\n \n \n \n \n\n\n \n\n\n\n
Proceedings of the National Academy of Sciences, 112(15): 4594–4599. April 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@article{petrescu_uncertain_2015,\n\ttitle = {The uncertain climate footprint of wetlands under human pressure},\n\tvolume = {112},\n\tissn = {0027-8424, 1091-6490},\n\turl = {https://pnas.org/doi/full/10.1073/pnas.1416267112},\n\tdoi = {10.1073/pnas.1416267112},\n\tabstract = {Significance \n Wetlands are unique ecosystems because they are in general sinks for carbon dioxide and sources of methane. Their climate footprint therefore depends on the relative sign and magnitude of the land–atmosphere exchange of these two major greenhouse gases. This work presents a synthesis of simultaneous measurements of carbon dioxide and methane fluxes to assess the radiative forcing of natural wetlands converted to agricultural or forested land. The net climate impact of wetlands is strongly dependent on whether they are natural or managed. Here we show that the conversion of natural wetlands produces a significant increase of the atmospheric radiative forcing. The findings suggest that management plans for these complex ecosystems should carefully account for the potential biogeochemical effects on climate. \n , \n \n Significant climate risks are associated with a positive carbon–temperature feedback in northern latitude carbon-rich ecosystems, making an accurate analysis of human impacts on the net greenhouse gas balance of wetlands a priority. Here, we provide a coherent assessment of the climate footprint of a network of wetland sites based on simultaneous and quasi-continuous ecosystem observations of CO \n 2 \n and CH \n 4 \n fluxes. Experimental areas are located both in natural and in managed wetlands and cover a wide range of climatic regions, ecosystem types, and management practices. Based on direct observations we predict that sustained CH \n 4 \n emissions in natural ecosystems are in the long term (i.e., several centuries) typically offset by CO \n 2 \n uptake, although with large spatiotemporal variability. Using a space-for-time analogy across ecological and climatic gradients, we represent the chronosequence from natural to managed conditions to quantify the “cost” of CH \n 4 \n emissions for the benefit of net carbon sequestration. With a sustained pulse–response radiative forcing model, we found a significant increase in atmospheric forcing due to land management, in particular for wetland converted to cropland. Our results quantify the role of human activities on the climate footprint of northern wetlands and call for development of active mitigation strategies for managed wetlands and new guidelines of the Intergovernmental Panel on Climate Change (IPCC) accounting for both sustained CH \n 4 \n emissions and cumulative CO \n 2 \n exchange.},\n\tlanguage = {en},\n\tnumber = {15},\n\turldate = {2023-02-23},\n\tjournal = {Proceedings of the National Academy of Sciences},\n\tauthor = {Petrescu, Ana Maria Roxana and Lohila, Annalea and Tuovinen, Juha-Pekka and Baldocchi, Dennis D. and Desai, Ankur R. and Roulet, Nigel T. and Vesala, Timo and Dolman, Albertus Johannes and Oechel, Walter C. and Marcolla, Barbara and Friborg, Thomas and Rinne, Janne and Matthes, Jaclyn Hatala and Merbold, Lutz and Meijide, Ana and Kiely, Gerard and Sottocornola, Matteo and Sachs, Torsten and Zona, Donatella and Varlagin, Andrej and Lai, Derrick Y. F. and Veenendaal, Elmar and Parmentier, Frans-Jan W. and Skiba, Ute and Lund, Magnus and Hensen, Arjan and Van Huissteden, Jacobus and Flanagan, Lawrence B. and Shurpali, Narasinha J. and Grünwald, Thomas and Humphreys, Elyn R. and Jackowicz-Korczyński, Marcin and Aurela, Mika A. and Laurila, Tuomas and Grüning, Carsten and Corradi, Chiara A. R. and Schrier-Uijl, Arina P. and Christensen, Torben R. and Tamstorf, Mikkel P. and Mastepanov, Mikhail and Martikainen, Pertti J. and Verma, Shashi B. and Bernhofer, Christian and Cescatti, Alessandro},\n\tmonth = apr,\n\tyear = {2015},\n\tpages = {4594--4599},\n}\n\n\n
\n\n\n
\n Significance Wetlands are unique ecosystems because they are in general sinks for carbon dioxide and sources of methane. Their climate footprint therefore depends on the relative sign and magnitude of the land–atmosphere exchange of these two major greenhouse gases. This work presents a synthesis of simultaneous measurements of carbon dioxide and methane fluxes to assess the radiative forcing of natural wetlands converted to agricultural or forested land. The net climate impact of wetlands is strongly dependent on whether they are natural or managed. Here we show that the conversion of natural wetlands produces a significant increase of the atmospheric radiative forcing. The findings suggest that management plans for these complex ecosystems should carefully account for the potential biogeochemical effects on climate. , Significant climate risks are associated with a positive carbon–temperature feedback in northern latitude carbon-rich ecosystems, making an accurate analysis of human impacts on the net greenhouse gas balance of wetlands a priority. Here, we provide a coherent assessment of the climate footprint of a network of wetland sites based on simultaneous and quasi-continuous ecosystem observations of CO 2 and CH 4 fluxes. Experimental areas are located both in natural and in managed wetlands and cover a wide range of climatic regions, ecosystem types, and management practices. Based on direct observations we predict that sustained CH 4 emissions in natural ecosystems are in the long term (i.e., several centuries) typically offset by CO 2 uptake, although with large spatiotemporal variability. Using a space-for-time analogy across ecological and climatic gradients, we represent the chronosequence from natural to managed conditions to quantify the “cost” of CH 4 emissions for the benefit of net carbon sequestration. With a sustained pulse–response radiative forcing model, we found a significant increase in atmospheric forcing due to land management, in particular for wetland converted to cropland. Our results quantify the role of human activities on the climate footprint of northern wetlands and call for development of active mitigation strategies for managed wetlands and new guidelines of the Intergovernmental Panel on Climate Change (IPCC) accounting for both sustained CH 4 emissions and cumulative CO 2 exchange.\n
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\n\n \n \n Post, H.; Hendricks Franssen, H. J.; Graf, A.; Schmidt, M.; and Vereecken, H.\n\n\n \n \n \n \n \n Uncertainty analysis of eddy covariance CO<sub>2</sub> flux measurements for different EC tower distances using an extended two-tower approach.\n \n \n \n \n\n\n \n\n\n\n
Biogeosciences, 12(4): 1205–1221. February 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@article{post_uncertainty_2015,\n\ttitle = {Uncertainty analysis of eddy covariance {CO}\\<sub\\>2\\</sub\\> flux measurements for different {EC} tower distances using an extended two-tower approach},\n\tvolume = {12},\n\tissn = {1726-4189},\n\turl = {https://bg.copernicus.org/articles/12/1205/2015/},\n\tdoi = {10.5194/bg-12-1205-2015},\n\tabstract = {Abstract. The use of eddy covariance (EC) CO2 flux measurements in data assimilation and other applications requires an estimate of the random uncertainty. In previous studies, the (classical) two-tower approach has yielded robust uncertainty estimates, but care must be taken to meet the often competing requirements of statistical independence (non-overlapping footprints) and ecosystem homogeneity when choosing an appropriate tower distance. The role of the tower distance was investigated with help of a roving station separated between 8 m and 34 km from a permanent EC grassland station. Random uncertainty was estimated for five separation distances with the classical two-tower approach and an extended approach which removed systematic differences of CO2 fluxes measured at two EC towers. This analysis was made for a data set where (i) only similar weather conditions at the two sites were included, and (ii) an unfiltered one. The extended approach, applied to weather-filtered data for separation distances of 95 and 173 m gave uncertainty estimates in best correspondence with an independent reference method. The introduced correction for systematic flux differences considerably reduced the overestimation of the two-tower based uncertainty of net CO2 flux measurements and decreased the sensitivity of results to tower distance. We therefore conclude that corrections for systematic flux differences (e.g., caused by different environmental conditions at both EC towers) can help to apply the two-tower approach to more site pairs with less ideal conditions.},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2023-02-23},\n\tjournal = {Biogeosciences},\n\tauthor = {Post, H. and Hendricks Franssen, H. J. and Graf, A. and Schmidt, M. and Vereecken, H.},\n\tmonth = feb,\n\tyear = {2015},\n\tpages = {1205--1221},\n}\n\n\n
\n\n\n
\n Abstract. The use of eddy covariance (EC) CO2 flux measurements in data assimilation and other applications requires an estimate of the random uncertainty. In previous studies, the (classical) two-tower approach has yielded robust uncertainty estimates, but care must be taken to meet the often competing requirements of statistical independence (non-overlapping footprints) and ecosystem homogeneity when choosing an appropriate tower distance. The role of the tower distance was investigated with help of a roving station separated between 8 m and 34 km from a permanent EC grassland station. Random uncertainty was estimated for five separation distances with the classical two-tower approach and an extended approach which removed systematic differences of CO2 fluxes measured at two EC towers. This analysis was made for a data set where (i) only similar weather conditions at the two sites were included, and (ii) an unfiltered one. The extended approach, applied to weather-filtered data for separation distances of 95 and 173 m gave uncertainty estimates in best correspondence with an independent reference method. The introduced correction for systematic flux differences considerably reduced the overestimation of the two-tower based uncertainty of net CO2 flux measurements and decreased the sensitivity of results to tower distance. We therefore conclude that corrections for systematic flux differences (e.g., caused by different environmental conditions at both EC towers) can help to apply the two-tower approach to more site pairs with less ideal conditions.\n
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\n\n \n \n Qu, W.; Bogena, H. R.; Huisman, J. A.; Vanderborght, J.; Schuh, M.; Priesack, E.; and Vereecken, H.\n\n\n \n \n \n \n \n Predicting subgrid variability of soil water content from basic soil information.\n \n \n \n \n\n\n \n\n\n\n
Geophysical Research Letters, 42(3): 789–796. February 2015.\n
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@article{qu_predicting_2015,\n\ttitle = {Predicting subgrid variability of soil water content from basic soil information},\n\tvolume = {42},\n\tissn = {0094-8276, 1944-8007},\n\turl = {https://onlinelibrary.wiley.com/doi/10.1002/2014GL062496},\n\tdoi = {10.1002/2014GL062496},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2023-02-23},\n\tjournal = {Geophysical Research Letters},\n\tauthor = {Qu, W. and Bogena, H. R. and Huisman, J. A. and Vanderborght, J. and Schuh, M. and Priesack, E. and Vereecken, H.},\n\tmonth = feb,\n\tyear = {2015},\n\tpages = {789--796},\n}\n\n\n
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\n\n \n \n Rahman, M.; Sulis, M.; and Kollet, S.\n\n\n \n \n \n \n \n The subsurface–land surface–atmosphere connection under convective conditions.\n \n \n \n \n\n\n \n\n\n\n
Advances in Water Resources, 83: 240–249. September 2015.\n
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@article{rahman_subsurfaceland_2015,\n\ttitle = {The subsurface–land surface–atmosphere connection under convective conditions},\n\tvolume = {83},\n\tissn = {03091708},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0309170815001281},\n\tdoi = {10.1016/j.advwatres.2015.06.003},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Advances in Water Resources},\n\tauthor = {Rahman, M. and Sulis, M. and Kollet, S.J.},\n\tmonth = sep,\n\tyear = {2015},\n\tpages = {240--249},\n}\n\n\n
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\n\n \n \n Rennenberg, H.; and Dannenmann, M.\n\n\n \n \n \n \n \n Nitrogen Nutrition of Trees in Temperate Forests—The Significance of Nitrogen Availability in the Pedosphere and Atmosphere.\n \n \n \n \n\n\n \n\n\n\n
Forests, 6(12): 2820–2835. August 2015.\n
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@article{rennenberg_nitrogen_2015,\n\ttitle = {Nitrogen {Nutrition} of {Trees} in {Temperate} {Forests}—{The} {Significance} of {Nitrogen} {Availability} in the {Pedosphere} and {Atmosphere}},\n\tvolume = {6},\n\tissn = {1999-4907},\n\turl = {http://www.mdpi.com/1999-4907/6/8/2820},\n\tdoi = {10.3390/f6082820},\n\tlanguage = {en},\n\tnumber = {12},\n\turldate = {2023-02-23},\n\tjournal = {Forests},\n\tauthor = {Rennenberg, Heinz and Dannenmann, Michael},\n\tmonth = aug,\n\tyear = {2015},\n\tpages = {2820--2835},\n}\n\n\n
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\n\n \n \n Rudolph, S.; Van Der Kruk, J.; Von Hebel, C.; Ali, M.; Herbst, M.; Montzka, C.; Pätzold, S.; Robinson, D.; Vereecken, H.; and Weihermüller, L.\n\n\n \n \n \n \n \n Linking satellite derived LAI patterns with subsoil heterogeneity using large-scale ground-based electromagnetic induction measurements.\n \n \n \n \n\n\n \n\n\n\n
Geoderma, 241-242: 262–271. March 2015.\n
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@article{rudolph_linking_2015,\n\ttitle = {Linking satellite derived {LAI} patterns with subsoil heterogeneity using large-scale ground-based electromagnetic induction measurements},\n\tvolume = {241-242},\n\tissn = {00167061},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0016706114004133},\n\tdoi = {10.1016/j.geoderma.2014.11.015},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Geoderma},\n\tauthor = {Rudolph, S. and Van Der Kruk, J. and Von Hebel, C. and Ali, M. and Herbst, M. and Montzka, C. and Pätzold, S. and Robinson, D.A. and Vereecken, H. and Weihermüller, L.},\n\tmonth = mar,\n\tyear = {2015},\n\tpages = {262--271},\n}\n\n\n
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\n\n \n \n Sachs, T.; Koebsch, F.; Franz, D.; Larmanou, E.; Serafimovich, A.; Kohnert, K.; Jurasinski, G.; and Augustin, J.\n\n\n \n \n \n \n \n Mehr Moor? Zur Treibhausgasdynamik wiedervernässter Feuchtgebiete.\n \n \n \n \n\n\n \n\n\n\n
System Erde; 5. 2015.\n
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@article{sachs_mehr_2015,\n\ttitle = {Mehr {Moor}? {Zur} {Treibhausgasdynamik} wiedervernässter {Feuchtgebiete}},\n\tshorttitle = {Mehr {Moor}?},\n\turl = {https://gfzpublic.gfz-potsdam.de/pubman/item/item_1199648},\n\tdoi = {10.2312/GFZ.SYSERDE.05.01.4},\n\tlanguage = {de},\n\turldate = {2023-02-23},\n\tjournal = {System Erde; 5},\n\tauthor = {Sachs, Torsten and Koebsch, Franziska and Franz, Daniela and Larmanou, Eric and Serafimovich, Andrei and Kohnert, Katrin and Jurasinski, Gerald and Augustin, Jürgen},\n\tyear = {2015},\n}\n\n\n
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\n\n \n \n Scharnweber, T.; Couwenberg, J.; Heinrich, I.; and Wilmking, M.\n\n\n \n \n \n \n \n New insights for the interpretation of ancient bog oak chronologies? Reactions of oak (Quercus robur L.) to a sudden peatland rewetting.\n \n \n \n \n\n\n \n\n\n\n
Palaeogeography, Palaeoclimatology, Palaeoecology, 417: 534–543. January 2015.\n
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@article{scharnweber_new_2015,\n\ttitle = {New insights for the interpretation of ancient bog oak chronologies? {Reactions} of oak ({Quercus} robur {L}.) to a sudden peatland rewetting},\n\tvolume = {417},\n\tissn = {00310182},\n\tshorttitle = {New insights for the interpretation of ancient bog oak chronologies?},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0031018214005215},\n\tdoi = {10.1016/j.palaeo.2014.10.017},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {Palaeogeography, Palaeoclimatology, Palaeoecology},\n\tauthor = {Scharnweber, Tobias and Couwenberg, John and Heinrich, Ingo and Wilmking, Martin},\n\tmonth = jan,\n\tyear = {2015},\n\tpages = {534--543},\n}\n\n\n
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\n\n \n \n Schollaen, K.; Baschek, H.; Heinrich, I.; and Helle, G.\n\n\n \n \n \n \n \n Technical Note: An improved guideline for rapid and precise sample preparation of tree-ring stable isotope analysis.\n \n \n \n \n\n\n \n\n\n\n Technical Report Biogeochemistry: Stable Isotopes & Other Tracers, July 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@techreport{schollaen_technical_2015,\n\ttype = {preprint},\n\ttitle = {Technical {Note}: {An} improved guideline for rapid and precise sample preparation of tree-ring stable isotope analysis},\n\tshorttitle = {Technical {Note}},\n\turl = {https://bg.copernicus.org/preprints/12/11587/2015/},\n\tabstract = {Abstract. The procedure of wood sample preparation, including tree-ring dissection, cellulose extraction, homogenization and finally weighing and packing for stable isotope analysis is labour intensive and time consuming. We present an elaborated methodical guideline from pre-analyses considerations, wood sample preparation through semi-automated chemical extraction of cellulose directly from tree-ring cross-sections to tree-ring dissection for high-precision isotope ratio mass spectrometry. This guideline reduces time and maximizes the tree-ring stable isotope data throughput significantly. The method was applied to ten different tree species (coniferous and angiosperm wood) with different wood growth rates and differently shaped tree-ring boundaries. The tree-ring structures of the cellulose cross-sections largely remained well identifiable. FTIR (Fourier transform infrared) spectrometry and the comparison of stable isotope values with classical method confirm chemical purity of the resultant cellulose. Sample homogenization is no longer necessary. Cellulose extraction is now faster, cheaper and more user friendly allowing (i) the simultaneous treatment of wood cross-sections of a total length of 180 cm (equivalent to 6 increment cores of 30 cm length) and thickness of 0.5 to 2 mm, and (ii) precise tree-ring separation at annual to high-resolution scale utilizing manual devices or UV-laser microdissection microscopes.},\n\turldate = {2023-02-23},\n\tinstitution = {Biogeochemistry: Stable Isotopes \\& Other Tracers},\n\tauthor = {Schollaen, K. and Baschek, H. and Heinrich, I. and Helle, G.},\n\tmonth = jul,\n\tyear = {2015},\n\tdoi = {10.5194/bgd-12-11587-2015},\n}\n\n\n
\n\n\n
\n Abstract. The procedure of wood sample preparation, including tree-ring dissection, cellulose extraction, homogenization and finally weighing and packing for stable isotope analysis is labour intensive and time consuming. We present an elaborated methodical guideline from pre-analyses considerations, wood sample preparation through semi-automated chemical extraction of cellulose directly from tree-ring cross-sections to tree-ring dissection for high-precision isotope ratio mass spectrometry. This guideline reduces time and maximizes the tree-ring stable isotope data throughput significantly. The method was applied to ten different tree species (coniferous and angiosperm wood) with different wood growth rates and differently shaped tree-ring boundaries. The tree-ring structures of the cellulose cross-sections largely remained well identifiable. FTIR (Fourier transform infrared) spectrometry and the comparison of stable isotope values with classical method confirm chemical purity of the resultant cellulose. Sample homogenization is no longer necessary. Cellulose extraction is now faster, cheaper and more user friendly allowing (i) the simultaneous treatment of wood cross-sections of a total length of 180 cm (equivalent to 6 increment cores of 30 cm length) and thickness of 0.5 to 2 mm, and (ii) precise tree-ring separation at annual to high-resolution scale utilizing manual devices or UV-laser microdissection microscopes.\n
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\n\n \n \n Schröder, B.; Steiner, N.; Merbach, I.; Schädler, M.; and Filser, J.\n\n\n \n \n \n \n \n Collembolan reproduction in soils from a long-term fertilisation experiment opposes the Growth Rate Hypothesis.\n \n \n \n \n\n\n \n\n\n\n
European Journal of Soil Biology, 68: 56–60. May 2015.\n
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@article{schroder_collembolan_2015,\n\ttitle = {Collembolan reproduction in soils from a long-term fertilisation experiment opposes the {Growth} {Rate} {Hypothesis}},\n\tvolume = {68},\n\tissn = {11645563},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S1164556315000333},\n\tdoi = {10.1016/j.ejsobi.2015.03.007},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {European Journal of Soil Biology},\n\tauthor = {Schröder, Birthe and Steiner, Natalie and Merbach, Ines and Schädler, Martin and Filser, Juliane},\n\tmonth = may,\n\tyear = {2015},\n\tpages = {56--60},\n}\n\n\n
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\n\n \n \n Schröter, I.; Paasche, H.; Dietrich, P.; and Wollschläger, U.\n\n\n \n \n \n \n \n Estimation of Catchment-Scale Soil Moisture Patterns Based on Terrain Data and Sparse TDR Measurements Using a Fuzzy C-Means Clustering Approach.\n \n \n \n \n\n\n \n\n\n\n
Vadose Zone Journal, 14(11): vzj2015.01.0008. November 2015.\n
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@article{schroter_estimation_2015,\n\ttitle = {Estimation of {Catchment}-{Scale} {Soil} {Moisture} {Patterns} {Based} on {Terrain} {Data} and {Sparse} {TDR} {Measurements} {Using} a {Fuzzy} {C}-{Means} {Clustering} {Approach}},\n\tvolume = {14},\n\tissn = {15391663},\n\turl = {http://doi.wiley.com/10.2136/vzj2015.01.0008},\n\tdoi = {10.2136/vzj2015.01.0008},\n\tlanguage = {en},\n\tnumber = {11},\n\turldate = {2023-02-23},\n\tjournal = {Vadose Zone Journal},\n\tauthor = {Schröter, Ingmar and Paasche, Hendrik and Dietrich, Peter and Wollschläger, Ute},\n\tmonth = nov,\n\tyear = {2015},\n\tpages = {vzj2015.01.0008},\n}\n\n\n
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\n\n \n \n Schwarz, B.; Dietrich, C.; Cesarz, S.; Scherer-Lorenzen, M.; Auge, H.; Schulz, E.; and Eisenhauer, N.\n\n\n \n \n \n \n \n Non-significant tree diversity but significant identity effects on earthworm communities in three tree diversity experiments.\n \n \n \n \n\n\n \n\n\n\n
European Journal of Soil Biology, 67: 17–26. March 2015.\n
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@article{schwarz_non-significant_2015,\n\ttitle = {Non-significant tree diversity but significant identity effects on earthworm communities in three tree diversity experiments},\n\tvolume = {67},\n\tissn = {11645563},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S1164556315000023},\n\tdoi = {10.1016/j.ejsobi.2015.01.001},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {European Journal of Soil Biology},\n\tauthor = {Schwarz, Benjamin and Dietrich, Christoph and Cesarz, Simone and Scherer-Lorenzen, Michael and Auge, Harald and Schulz, Elke and Eisenhauer, Nico},\n\tmonth = mar,\n\tyear = {2015},\n\tpages = {17--26},\n}\n\n\n
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\n\n \n \n Siebenkäs, A.; Schumacher, J.; and Roscher, C.\n\n\n \n \n \n \n \n Phenotypic plasticity to light and nutrient availability alters functional trait ranking across eight perennial grassland species.\n \n \n \n \n\n\n \n\n\n\n
AoB PLANTS, 7. January 2015.\n
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@article{siebenkas_phenotypic_2015,\n\ttitle = {Phenotypic plasticity to light and nutrient availability alters functional trait ranking across eight perennial grassland species},\n\tvolume = {7},\n\tissn = {2041-2851},\n\turl = {https://academic.oup.com/aobpla/article/doi/10.1093/aobpla/plv029/200562},\n\tdoi = {10.1093/aobpla/plv029},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {AoB PLANTS},\n\tauthor = {Siebenkäs, Alrun and Schumacher, Jens and Roscher, Christiane},\n\tmonth = jan,\n\tyear = {2015},\n}\n\n\n
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\n\n \n \n Simmer, C.; Thiele-Eich, I.; Masbou, M.; Amelung, W.; Bogena, H.; Crewell, S.; Diekkrüger, B.; Ewert, F.; Hendricks Franssen, H.; Huisman, J. A.; Kemna, A.; Klitzsch, N.; Kollet, S.; Langensiepen, M.; Löhnert, U.; Rahman, A. S. M. M.; Rascher, U.; Schneider, K.; Schween, J.; Shao, Y.; Shrestha, P.; Stiebler, M.; Sulis, M.; Vanderborght, J.; Vereecken, H.; Van Der Kruk, J.; Waldhoff, G.; and Zerenner, T.\n\n\n \n \n \n \n \n Monitoring and Modeling the Terrestrial System from Pores to Catchments: The Transregional Collaborative Research Center on Patterns in the Soil–Vegetation–Atmosphere System.\n \n \n \n \n\n\n \n\n\n\n
Bulletin of the American Meteorological Society, 96(10): 1765–1787. October 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@article{simmer_monitoring_2015,\n\ttitle = {Monitoring and {Modeling} the {Terrestrial} {System} from {Pores} to {Catchments}: {The} {Transregional} {Collaborative} {Research} {Center} on {Patterns} in the {Soil}–{Vegetation}–{Atmosphere} {System}},\n\tvolume = {96},\n\tissn = {0003-0007, 1520-0477},\n\tshorttitle = {Monitoring and {Modeling} the {Terrestrial} {System} from {Pores} to {Catchments}},\n\turl = {https://journals.ametsoc.org/doi/10.1175/BAMS-D-13-00134.1},\n\tdoi = {10.1175/BAMS-D-13-00134.1},\n\tabstract = {Abstract \n Most activities of humankind take place in the transition zone between four compartments of the terrestrial system: the unconfined aquifer, including the unsaturated zone; surface water; vegetation; and atmosphere. The mass, momentum, and heat energy fluxes between these compartments drive their mutual state evolution. Improved understanding of the processes that drive these fluxes is important for climate projections, weather prediction, flood forecasting, water and soil resources management, agriculture, and water quality control. The different transport mechanisms and flow rates within the compartments result in complex patterns on different temporal and spatial scales that make predictions of the terrestrial system challenging for scientists and policy makers. The Transregional Collaborative Research Centre 32 (TR32) was formed in 2007 to integrate monitoring with modeling and data assimilation in order to develop a holistic view of the terrestrial system. TR32 is a long-term research program funded by the German national science foundation Deutsche Forschungsgemeinschaft (DFG), in order to focus and integrate research activities of several universities on an emerging scientific topic of high societal relevance. Aiming to bridge the gap between microscale soil pores and catchment-scale atmospheric variables, TR32 unites research groups from the German universities of Aachen, Bonn, and Cologne, and from the environmental and geoscience departments of Forschungszentrum Jülich GmbH. Here, we report about recent achievements in monitoring and modeling of the terrestrial system, including the development of new observation techniques for the subsurface, the establishment of cross-scale, multicompartment modeling platforms from the pore to the catchment scale, and their use to investigate the propagation of patterns in the state and structure of the subsurface to the atmospheric boundary layer.},\n\tlanguage = {en},\n\tnumber = {10},\n\turldate = {2023-02-23},\n\tjournal = {Bulletin of the American Meteorological Society},\n\tauthor = {Simmer, Clemens and Thiele-Eich, Insa and Masbou, Matthieu and Amelung, Wulf and Bogena, Heye and Crewell, Susanne and Diekkrüger, Bernd and Ewert, Frank and Hendricks Franssen, Harrie-Jan and Huisman, Johan Alexander and Kemna, Andreas and Klitzsch, Norbert and Kollet, Stefan and Langensiepen, Matthias and Löhnert, Ulrich and Rahman, A. S. M. Mostaquimur and Rascher, Uwe and Schneider, Karl and Schween, Jan and Shao, Yaping and Shrestha, Prabhakar and Stiebler, Maik and Sulis, Mauro and Vanderborght, Jan and Vereecken, Harry and Van Der Kruk, Jan and Waldhoff, Guido and Zerenner, Tanja},\n\tmonth = oct,\n\tyear = {2015},\n\tpages = {1765--1787},\n}\n\n\n
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\n Abstract Most activities of humankind take place in the transition zone between four compartments of the terrestrial system: the unconfined aquifer, including the unsaturated zone; surface water; vegetation; and atmosphere. The mass, momentum, and heat energy fluxes between these compartments drive their mutual state evolution. Improved understanding of the processes that drive these fluxes is important for climate projections, weather prediction, flood forecasting, water and soil resources management, agriculture, and water quality control. The different transport mechanisms and flow rates within the compartments result in complex patterns on different temporal and spatial scales that make predictions of the terrestrial system challenging for scientists and policy makers. The Transregional Collaborative Research Centre 32 (TR32) was formed in 2007 to integrate monitoring with modeling and data assimilation in order to develop a holistic view of the terrestrial system. TR32 is a long-term research program funded by the German national science foundation Deutsche Forschungsgemeinschaft (DFG), in order to focus and integrate research activities of several universities on an emerging scientific topic of high societal relevance. Aiming to bridge the gap between microscale soil pores and catchment-scale atmospheric variables, TR32 unites research groups from the German universities of Aachen, Bonn, and Cologne, and from the environmental and geoscience departments of Forschungszentrum Jülich GmbH. Here, we report about recent achievements in monitoring and modeling of the terrestrial system, including the development of new observation techniques for the subsurface, the establishment of cross-scale, multicompartment modeling platforms from the pore to the catchment scale, and their use to investigate the propagation of patterns in the state and structure of the subsurface to the atmospheric boundary layer.\n
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\n\n \n \n Sorg, J.; and Kunkel, R.\n\n\n \n \n \n \n \n Conception and Implementation of an OGC-Compliant Sensor Observation Service for a Standardized Access to Raster Data.\n \n \n \n \n\n\n \n\n\n\n
ISPRS International Journal of Geo-Information, 4(3): 1076–1096. July 2015.\n
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@article{sorg_conception_2015,\n\ttitle = {Conception and {Implementation} of an {OGC}-{Compliant} {Sensor} {Observation} {Service} for a {Standardized} {Access} to {Raster} {Data}},\n\tvolume = {4},\n\tissn = {2220-9964},\n\turl = {http://www.mdpi.com/2220-9964/4/3/1076},\n\tdoi = {10.3390/ijgi4031076},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2023-02-23},\n\tjournal = {ISPRS International Journal of Geo-Information},\n\tauthor = {Sorg, Juergen and Kunkel, Ralf},\n\tmonth = jul,\n\tyear = {2015},\n\tpages = {1076--1096},\n}\n\n\n
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\n\n \n \n Stadler, A.; Rudolph, S.; Kupisch, M.; Langensiepen, M.; Van Der Kruk, J.; and Ewert, F.\n\n\n \n \n \n \n \n Quantifying the effects of soil variability on crop growth using apparent soil electrical conductivity measurements.\n \n \n \n \n\n\n \n\n\n\n
European Journal of Agronomy, 64: 8–20. March 2015.\n
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@article{stadler_quantifying_2015,\n\ttitle = {Quantifying the effects of soil variability on crop growth using apparent soil electrical conductivity measurements},\n\tvolume = {64},\n\tissn = {11610301},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S1161030114001452},\n\tdoi = {10.1016/j.eja.2014.12.004},\n\tlanguage = {en},\n\turldate = {2023-02-23},\n\tjournal = {European Journal of Agronomy},\n\tauthor = {Stadler, Anja and Rudolph, Sebastian and Kupisch, Moritz and Langensiepen, Matthias and Van Der Kruk, Jan and Ewert, Frank},\n\tmonth = mar,\n\tyear = {2015},\n\tpages = {8--20},\n}\n\n\n
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\n\n \n \n Stockinger, M. P.; Lücke, A.; McDonnell, J. J.; Diekkrüger, B.; Vereecken, H.; and Bogena, H. R.\n\n\n \n \n \n \n \n Interception effects on stable isotope driven streamwater transit time estimates: INTERCEPTION AFFECTS TTD.\n \n \n \n \n\n\n \n\n\n\n
Geophysical Research Letters, 42(13): 5299–5308. July 2015.\n
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@article{stockinger_interception_2015,\n\ttitle = {Interception effects on stable isotope driven streamwater transit time estimates: {INTERCEPTION} {AFFECTS} {TTD}},\n\tvolume = {42},\n\tissn = {00948276},\n\tshorttitle = {Interception effects on stable isotope driven streamwater transit time estimates},\n\turl = {http://doi.wiley.com/10.1002/2015GL064622},\n\tdoi = {10.1002/2015GL064622},\n\tlanguage = {en},\n\tnumber = {13},\n\turldate = {2023-02-23},\n\tjournal = {Geophysical Research Letters},\n\tauthor = {Stockinger, Michael P. and Lücke, Andreas and McDonnell, Jeffrey J. and Diekkrüger, Bernd and Vereecken, Harry and Bogena, Heye R.},\n\tmonth = jul,\n\tyear = {2015},\n\tpages = {5299--5308},\n}\n\n\n
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\n\n \n \n Sulis, M.; Langensiepen, M.; Shrestha, P.; Schickling, A.; Simmer, C.; and Kollet, S. J.\n\n\n \n \n \n \n \n Evaluating the Influence of Plant-Specific Physiological Parameterizations on the Partitioning of Land Surface Energy Fluxes.\n \n \n \n \n\n\n \n\n\n\n
Journal of Hydrometeorology, 16(2): 517–533. April 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@article{sulis_evaluating_2015,\n\ttitle = {Evaluating the {Influence} of {Plant}-{Specific} {Physiological} {Parameterizations} on the {Partitioning} of {Land} {Surface} {Energy} {Fluxes}},\n\tvolume = {16},\n\tissn = {1525-755X, 1525-7541},\n\turl = {http://journals.ametsoc.org/doi/10.1175/JHM-D-14-0153.1},\n\tdoi = {10.1175/JHM-D-14-0153.1},\n\tabstract = {Abstract \n Plant physiological properties have a significant influence on the partitioning of radiative forcing, the spatial and temporal variability of soil water and soil temperature dynamics, and the rate of carbon fixation. Because of the direct impact on latent heat fluxes, these properties may also influence weather-generating processes, such as the evolution of the atmospheric boundary layer (ABL). In this work, crop-specific physiological characteristics, retrieved from detailed field measurements, are included in the biophysical parameterization of the Terrestrial Systems Modeling Platform (TerrSysMP). The physiological parameters for two typical European midlatitudinal crops (sugar beet and winter wheat) are validated using eddy covariance fluxes over multiple years from three measurement sites located in the North Rhine–Westphalia region of Germany. Comparison with observations and a simulation utilizing the generic crop type shows clear improvements when using the crop-specific physiological characteristics of the plant. In particular, the increase of latent heat fluxes in conjunction with decreased sensible heat fluxes as simulated by the two crops leads to an improved quantification of the diurnal energy partitioning. An independent analysis carried out using estimates of gross primary production reveals that the better agreement between observed and simulated latent heat adopting the plant-specific physiological properties largely stems from an improved simulation of the photosynthesis process. Finally, to evaluate the effects of the crop-specific parameterizations on the ABL dynamics, a series of semi-idealized land–atmosphere coupled simulations is performed by hypothesizing three cropland configurations. These numerical experiments reveal different heat and moisture budgets of the ABL using the crop-specific physiological properties, which clearly impacts the evolution of the boundary layer.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2023-02-23},\n\tjournal = {Journal of Hydrometeorology},\n\tauthor = {Sulis, Mauro and Langensiepen, Matthias and Shrestha, Prabhakar and Schickling, Anke and Simmer, Clemens and Kollet, Stefan J.},\n\tmonth = apr,\n\tyear = {2015},\n\tpages = {517--533},\n}\n\n\n
\n\n\n
\n Abstract Plant physiological properties have a significant influence on the partitioning of radiative forcing, the spatial and temporal variability of soil water and soil temperature dynamics, and the rate of carbon fixation. Because of the direct impact on latent heat fluxes, these properties may also influence weather-generating processes, such as the evolution of the atmospheric boundary layer (ABL). In this work, crop-specific physiological characteristics, retrieved from detailed field measurements, are included in the biophysical parameterization of the Terrestrial Systems Modeling Platform (TerrSysMP). The physiological parameters for two typical European midlatitudinal crops (sugar beet and winter wheat) are validated using eddy covariance fluxes over multiple years from three measurement sites located in the North Rhine–Westphalia region of Germany. Comparison with observations and a simulation utilizing the generic crop type shows clear improvements when using the crop-specific physiological characteristics of the plant. In particular, the increase of latent heat fluxes in conjunction with decreased sensible heat fluxes as simulated by the two crops leads to an improved quantification of the diurnal energy partitioning. An independent analysis carried out using estimates of gross primary production reveals that the better agreement between observed and simulated latent heat adopting the plant-specific physiological properties largely stems from an improved simulation of the photosynthesis process. Finally, to evaluate the effects of the crop-specific parameterizations on the ABL dynamics, a series of semi-idealized land–atmosphere coupled simulations is performed by hypothesizing three cropland configurations. These numerical experiments reveal different heat and moisture budgets of the ABL using the crop-specific physiological properties, which clearly impacts the evolution of the boundary layer.\n
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\n\n \n \n Theuerkauf, M.; Dräger, N.; Kienel, U.; Kuparinen, A.; and Brauer, A.\n\n\n \n \n \n \n \n Effects of changes in land management practices on pollen productivity of open vegetation during the last century derived from varved lake sediments.\n \n \n \n \n\n\n \n\n\n\n
The Holocene, 25(5): 733–744. May 2015.\n
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\n\n \n \n Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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@article{theuerkauf_effects_2015,\n\ttitle = {Effects of changes in land management practices on pollen productivity of open vegetation during the last century derived from varved lake sediments},\n\tvolume = {25},\n\tissn = {0959-6836, 1477-0911},\n\turl = {http://journals.sagepub.com/doi/10.1177/0959683614567881},\n\tdoi = {10.1177/0959683614567881},\n\tabstract = {Pollen productivity is a key parameter to quantify past plant abundances and vegetation openness. In this study we explore how changes in land management influence pollen productivity. We study pollen deposition in largely annually laminated sediments from Lake Tiefer See in the Northeastern German lowlands deposited between AD 1880 and 2010. During this period, land use intensity has increased predominantly through the widespread introduction of artificial fertilizers, herbicides and heavy machinery mainly since the 1950s. Although land use statistics show that overall vegetation openness remained largely constant, non-arboreal pollen deposition (from herbs and grasses) sharply declined over the study period. This decline can be partly explained by a shift towards crops that emit little pollen such as wheat and oilseed rape. Furthermore, intensified grassland management, including drainage, also contributed to lower pollen deposition because of the decline of Plantago lanceolata and Rumex from grassland communities. However, the most important effect is a decline in pollen productivity of grasses of about 60\\%, which most likely is a response to earlier and more frequent mowing, although changes in grass species composition may also have played a role. Our results show that the type and intensity of land use have a strong effect on pollen productivity of grasses (and smaller effects on further crops). Since grass pollen deposition is a main proxy for vegetation openness and grasses are the common reference taxon in most PPE studies, variations in the pollen productivity of grasses introduce so far neglected errors in the reconstruction of the past vegetation cover. Our study provides a first estimate about the magnitude of this effect.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2023-02-23},\n\tjournal = {The Holocene},\n\tauthor = {Theuerkauf, Martin and Dräger, Nadine and Kienel, Ulrike and Kuparinen, Anna and Brauer, Achim},\n\tmonth = may,\n\tyear = {2015},\n\tpages = {733--744},\n}\n\n\n
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\n Pollen productivity is a key parameter to quantify past plant abundances and vegetation openness. In this study we explore how changes in land management influence pollen productivity. We study pollen deposition in largely annually laminated sediments from Lake Tiefer See in the Northeastern German lowlands deposited between AD 1880 and 2010. During this period, land use intensity has increased predominantly through the widespread introduction of artificial fertilizers, herbicides and heavy machinery mainly since the 1950s. Although land use statistics show that overall vegetation openness remained largely constant, non-arboreal pollen deposition (from herbs and grasses) sharply declined over the study period. This decline can be partly explained by a shift towards crops that emit little pollen such as wheat and oilseed rape. Furthermore, intensified grassland management, including drainage, also contributed to lower pollen deposition because of the decline of Plantago lanceolata and Rumex from grassland communities. However, the most important effect is a decline in pollen productivity of grasses of about 60%, which most likely is a response to earlier and more frequent mowing, although changes in grass species composition may also have played a role. Our results show that the type and intensity of land use have a strong effect on pollen productivity of grasses (and smaller effects on further crops). Since grass pollen deposition is a main proxy for vegetation openness and grasses are the common reference taxon in most PPE studies, variations in the pollen productivity of grasses introduce so far neglected errors in the reconstruction of the past vegetation cover. Our study provides a first estimate about the magnitude of this effect.\n
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\n\n \n \n Trauth, N.; Schmidt, C.; Vieweg, M.; Oswald, S. E.; and Fleckenstein, J. H.\n\n\n \n \n \n \n \n Hydraulic controls of in‐stream gravel bar hyporheic exchange and reactions.\n \n \n \n \n\n\n \n\n\n\n
Water Resources Research, 51(4): 2243–2263. April 2015.\n
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@article{trauth_hydraulic_2015,\n\ttitle = {Hydraulic controls of in‐stream gravel bar hyporheic exchange and reactions},\n\tvolume = {51},\n\tissn = {0043-1397, 1944-7973},\n\turl = {https://onlinelibrary.wiley.com/doi/abs/10.1002/2014WR015857},\n\tdoi = {10.1002/2014WR015857},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2023-02-23},\n\tjournal = {Water Resources Research},\n\tauthor = {Trauth, Nico and Schmidt, Christian and Vieweg, Michael and Oswald, Sascha E. and Fleckenstein, Jan H.},\n\tmonth = apr,\n\tyear = {2015},\n\tpages = {2243--2263},\n}\n\n\n
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\n\n \n \n Van Der Maaten, E.; Van Der Maaten-Theunissen, M.; Buras, A.; Scharnweber, T.; Simard, S.; Kaiser, K.; Lorenz, S.; and Wilmking, M.\n\n\n \n \n \n \n \n Can We Use Tree Rings of Black Alder to Reconstruct Lake Levels? A Case Study for the Mecklenburg Lake District, Northeastern Germany.\n \n \n \n \n\n\n \n\n\n\n
PLOS ONE, 10(8): e0137054. August 2015.\n
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@article{van_der_maaten_can_2015,\n\ttitle = {Can {We} {Use} {Tree} {Rings} of {Black} {Alder} to {Reconstruct} {Lake} {Levels}? {A} {Case} {Study} for the {Mecklenburg} {Lake} {District}, {Northeastern} {Germany}},\n\tvolume = {10},\n\tissn = {1932-6203},\n\tshorttitle = {Can {We} {Use} {Tree} {Rings} of {Black} {Alder} to {Reconstruct} {Lake} {Levels}?},\n\turl = {https://dx.plos.org/10.1371/journal.pone.0137054},\n\tdoi = {10.1371/journal.pone.0137054},\n\tlanguage = {en},\n\tnumber = {8},\n\turldate = {2023-02-23},\n\tjournal = {PLOS ONE},\n\tauthor = {Van Der Maaten, Ernst and Van Der Maaten-Theunissen, Marieke and Buras, Allan and Scharnweber, Tobias and Simard, Sonia and Kaiser, Knut and Lorenz, Sebastian and Wilmking, Martin},\n\teditor = {Zhu, Liping},\n\tmonth = aug,\n\tyear = {2015},\n\tpages = {e0137054},\n}\n\n\n
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\n\n \n \n Vereecken, H.; Huisman, J. A.; Hendricks Franssen, H. J.; Brüggemann, N.; Bogena, H. R.; Kollet, S.; Javaux, M.; Van Der Kruk, J.; and Vanderborght, J.\n\n\n \n \n \n \n \n Soil hydrology: Recent methodological advances, challenges, and perspectives.\n \n \n \n \n\n\n \n\n\n\n
Water Resources Research, 51(4): 2616–2633. April 2015.\n
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@article{vereecken_soil_2015,\n\ttitle = {Soil hydrology: {Recent} methodological advances, challenges, and perspectives},\n\tvolume = {51},\n\tissn = {0043-1397, 1944-7973},\n\tshorttitle = {Soil hydrology},\n\turl = {https://onlinelibrary.wiley.com/doi/abs/10.1002/2014WR016852},\n\tdoi = {10.1002/2014WR016852},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2023-02-23},\n\tjournal = {Water Resources Research},\n\tauthor = {Vereecken, H. and Huisman, J. A. and Hendricks Franssen, H. J. and Brüggemann, N. and Bogena, H. R. and Kollet, S. and Javaux, M. and Van Der Kruk, J. and Vanderborght, J.},\n\tmonth = apr,\n\tyear = {2015},\n\tpages = {2616--2633},\n}\n\n\n
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\n\n \n \n Wurst, S.; Kaiser, N.; Nitzsche, S.; Haase, J.; Auge, H.; Rillig, M. C.; and Powell, J. R.\n\n\n \n \n \n \n \n Tree diversity modifies distance-dependent effects on seedling emergence but not plant–soil feedbacks of temperate trees.\n \n \n \n \n\n\n \n\n\n\n
Ecology, 96(6): 1529–1539. June 2015.\n
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@article{wurst_tree_2015,\n\ttitle = {Tree diversity modifies distance-dependent effects on seedling emergence but not plant–soil feedbacks of temperate trees},\n\tvolume = {96},\n\tissn = {0012-9658},\n\turl = {http://doi.wiley.com/10.1890/14-1166.1},\n\tdoi = {10.1890/14-1166.1},\n\tlanguage = {en},\n\tnumber = {6},\n\turldate = {2023-02-23},\n\tjournal = {Ecology},\n\tauthor = {Wurst, Susanne and Kaiser, Nina and Nitzsche, Susann and Haase, Josephine and Auge, Harald and Rillig, Matthias C. and Powell, Jeff R.},\n\tmonth = jun,\n\tyear = {2015},\n\tpages = {1529--1539},\n}\n\n\n
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