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\n  \n 2012\n \n \n (21)\n \n \n
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\n \n\n \n \n Bauer, J.; Weihermüller, L.; Huisman, J. A.; Herbst, M.; Graf, A.; Séquaris, J. M.; and Vereecken, H.\n\n\n \n \n \n \n \n Inverse determination of heterotrophic soil respiration response to temperature and water content under field conditions.\n \n \n \n \n\n\n \n\n\n\n Biogeochemistry, 108(1-3): 119–134. April 2012.\n \n\n\n\n
\n\n\n\n \n \n \"InversePaper\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{bauer_inverse_2012,\n\ttitle = {Inverse determination of heterotrophic soil respiration response to temperature and water content under field conditions},\n\tvolume = {108},\n\tissn = {0168-2563, 1573-515X},\n\turl = {http://link.springer.com/10.1007/s10533-011-9583-1},\n\tdoi = {10.1007/s10533-011-9583-1},\n\tlanguage = {en},\n\tnumber = {1-3},\n\turldate = {2023-07-17},\n\tjournal = {Biogeochemistry},\n\tauthor = {Bauer, J. and Weihermüller, L. and Huisman, J. A. and Herbst, M. and Graf, A. and Séquaris, J. M. and Vereecken, H.},\n\tmonth = apr,\n\tyear = {2012},\n\tpages = {119--134},\n}\n\n
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\n \n\n \n \n Bens, O.; Schwank, M.; Blume, T.; Brauer, A.; Guentner, A.; Heinrich, I.; Helle, G.; Itzerott, S.; Kaiser, K.; Sachs, T.; and Huettl, R. F.\n\n\n \n \n \n \n \n TERENO - eine Monitoring- und Forschungsplattform zur Erfassung langfristiger Auswirkungen des globalen Wandels auf regionaler Ebene.\n \n \n \n \n\n\n \n\n\n\n System Erde; Vol. 2,Issue 1; ISSN 21918589. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"TERENOPaper\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
\n 
@article{bens_tereno_2012,\n\ttitle = {{TERENO} - eine {Monitoring}- und {Forschungsplattform} zur {Erfassung} langfristiger {Auswirkungen} des globalen {Wandels} auf regionaler {Ebene}},\n\turl = {https://gfzpublic.gfz-potsdam.de/pubman/item/item_65133},\n\tdoi = {10.2312/GFZ.SYSERDE.02.01.13},\n\tlanguage = {de},\n\turldate = {2023-07-17},\n\tjournal = {System Erde; Vol. 2},\n\tauthor = {Bens, Oliver and Schwank, Mike and Blume, Theresa and Brauer, Achim and Guentner, Andreas and Heinrich, Ingo and Helle, Gerd and Itzerott, Sybille and Kaiser, Knut and Sachs, Torsten and Huettl, Reinhard F.},\n\tyear = {2012},\n\tpages = {Issue 1; ISSN 21918589},\n}\n\n
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\n \n\n \n \n Bittner, S.; Legner, N.; Beese, F.; and Priesack, E.\n\n\n \n \n \n \n \n Individual tree branch-level simulation of light attenuation and water flow of three F. sylvatica L. trees: LIGHT REGIME AND TREE WATER FLOW MODEL.\n \n \n \n \n\n\n \n\n\n\n Journal of Geophysical Research: Biogeosciences, 117(G1). March 2012.\n \n\n\n\n
\n\n\n\n \n \n \"IndividualPaper\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
\n 
@article{bittner_individual_2012,\n\ttitle = {Individual tree branch-level simulation of light attenuation and water flow of three {F}. sylvatica {L}. trees: {LIGHT} {REGIME} {AND} {TREE} {WATER} {FLOW} {MODEL}},\n\tvolume = {117},\n\tissn = {01480227},\n\tshorttitle = {Individual tree branch-level simulation of light attenuation and water flow of three \\textit{{F}. sylvatica} {L}. trees},\n\turl = {http://doi.wiley.com/10.1029/2011JG001780},\n\tdoi = {10.1029/2011JG001780},\n\tlanguage = {en},\n\tnumber = {G1},\n\turldate = {2023-07-17},\n\tjournal = {Journal of Geophysical Research: Biogeosciences},\n\tauthor = {Bittner, S. and Legner, N. and Beese, F. and Priesack, E.},\n\tmonth = mar,\n\tyear = {2012},\n}\n\n
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\n \n\n \n \n Bogena, H.; Kunkel, R.; Pütz, T.; Vereecken, H.; Kruger, E.; Zacharias, S.; Dietrich, P.; Wollschläger, U.; Kunstmann, H.; Papen, H.; Schmid, H.; Munch, J.; Priesack, E.; Schwank, M.; Bens, O.; Brauer, A.; Borg, E.; and Hajnsek, I.\n\n\n \n \n \n \n TERENO - Long-term monitoring network for terrestrial environmental research.\n \n \n \n\n\n \n\n\n\n Hydrologie und Wasserbewirtschaftung, 56: 138–143. June 2012.\n \n\n\n\n
\n\n\n\n \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{bogena_tereno_2012,\n\ttitle = {{TERENO} - {Long}-term monitoring network for terrestrial environmental research},\n\tvolume = {56},\n\tjournal = {Hydrologie und Wasserbewirtschaftung},\n\tauthor = {Bogena, Heye and Kunkel, Ralf and Pütz, Thomas and Vereecken, Harry and Kruger, E. and Zacharias, Steffen and Dietrich, Peter and Wollschläger, Ute and Kunstmann, Harald and Papen, Hans and Schmid, Hans and Munch, Jean and Priesack, Eckart and Schwank, Mike and Bens, Oliver and Brauer, Achim and Borg, Erik and Hajnsek, Irena},\n\tmonth = jun,\n\tyear = {2012},\n\tpages = {138--143},\n}\n\n
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\n \n\n \n \n Chwala, C.; Gmeiner, A.; Qiu, W.; Hipp, S.; Nienaber, D.; Siart, U.; Eibert, T.; Pohl, M.; Seltmann, J.; Fritz, J.; and Kunstmann, H.\n\n\n \n \n \n \n \n Precipitation observation using microwave backhaul links in the alpine and pre-alpine region of Southern Germany.\n \n \n \n \n\n\n \n\n\n\n Hydrology and Earth System Sciences, 16(8): 2647–2661. August 2012.\n \n\n\n\n
\n\n\n\n \n \n \"PrecipitationPaper\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
\n 
@article{chwala_precipitation_2012,\n\ttitle = {Precipitation observation using microwave backhaul links in the alpine and pre-alpine region of {Southern} {Germany}},\n\tvolume = {16},\n\tissn = {1607-7938},\n\turl = {https://hess.copernicus.org/articles/16/2647/2012/},\n\tdoi = {10.5194/hess-16-2647-2012},\n\tabstract = {Abstract. Measuring rain rates over complex terrain is afflicted with large uncertainties, because rain gauges are influenced by orography and weather radars are mostly not able to look into mountain valleys. We apply a new method to estimate near surface rain rates exploiting attenuation data from commercial microwave links in the alpine region of Southern Germany. Received signal level (RSL) data are recorded minutely with small data loggers at the towers and then sent to a database server via GSM (Global System for Mobile Communications). Due to the large RSL fluctuations in periods without rain, the determination of attenuation caused by precipitation is not straightforward. To be able to continuously process the RSL data from July 2010 to October 2010, we introduce a new method to detect wet and dry periods using spectral time series analysis. Its performance and limitations are presented, showing that the mean detection error rates of wet and dry periods can be reduced to 10\\% for all five links. After, the wet/dry classification rain rates are derived from the RSL and compared to rain gauge and weather radar measurements. The resulting correlations differ for different links and reach values of R2 = 0.81 for the link-gauge comparison and R2 = 0.85 for the link-radar comparison.},\n\tlanguage = {en},\n\tnumber = {8},\n\turldate = {2023-06-19},\n\tjournal = {Hydrology and Earth System Sciences},\n\tauthor = {Chwala, C. and Gmeiner, A. and Qiu, W. and Hipp, S. and Nienaber, D. and Siart, U. and Eibert, T. and Pohl, M. and Seltmann, J. and Fritz, J. and Kunstmann, H.},\n\tmonth = aug,\n\tyear = {2012},\n\tpages = {2647--2661},\n}\n\n
\n
\n\n\n
\n Abstract. Measuring rain rates over complex terrain is afflicted with large uncertainties, because rain gauges are influenced by orography and weather radars are mostly not able to look into mountain valleys. We apply a new method to estimate near surface rain rates exploiting attenuation data from commercial microwave links in the alpine region of Southern Germany. Received signal level (RSL) data are recorded minutely with small data loggers at the towers and then sent to a database server via GSM (Global System for Mobile Communications). Due to the large RSL fluctuations in periods without rain, the determination of attenuation caused by precipitation is not straightforward. To be able to continuously process the RSL data from July 2010 to October 2010, we introduce a new method to detect wet and dry periods using spectral time series analysis. Its performance and limitations are presented, showing that the mean detection error rates of wet and dry periods can be reduced to 10% for all five links. After, the wet/dry classification rain rates are derived from the RSL and compared to rain gauge and weather radar measurements. The resulting correlations differ for different links and reach values of R2 = 0.81 for the link-gauge comparison and R2 = 0.85 for the link-radar comparison.\n
\n\n\n
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\n \n\n \n \n Kaiser, K.; Friedrich; Oldorff; Germer, S.; Mauersberger; Natkhin; Hupfer, M.; Pingel; Schönfel-der; Spicher; Stüve, P.; Vedder; Bens, O.; Mietz; and Hüttl, R.\n\n\n \n \n \n \n Aktuelle hydrologische Veränderungen von Seen in Nordostdeutschland: Wasserspiegeltrends, ökologische Konsequenzen, Handlungsmöglichkeiten [Current hydrological changes of lakes in Northeast Germany: water-level trends, ecological consequences, management options].\n \n \n \n\n\n \n\n\n\n In Wasserbezogene Anpassungsmaßnahmen an den Landschafts- Und Klimawandel, pages 148–170. January 2012.\n \n\n\n\n
\n\n\n\n \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
\n 
@incollection{kaiser_aktuelle_2012,\n\ttitle = {Aktuelle hydrologische {Veränderungen} von {Seen} in {Nordostdeutschland}: {Wasserspiegeltrends}, ökologische {Konsequenzen}, {Handlungsmöglichkeiten} [{Current} hydrological changes of lakes in {Northeast} {Germany}: water-level trends, ecological consequences, management options]},\n\tisbn = {978-3-510-65274-7},\n\tbooktitle = {Wasserbezogene {Anpassungsmaßnahmen} an den {Landschafts}- {Und} {Klimawandel}},\n\tauthor = {Kaiser, Knut and Friedrich and Oldorff and Germer, Sonja and Mauersberger and Natkhin and Hupfer, Michael and Pingel and Schönfel-der and Spicher and Stüve, Peter and Vedder and Bens, Oliver and Mietz and Hüttl, Reinhard},\n\tmonth = jan,\n\tyear = {2012},\n\tpages = {148--170},\n}\n\n
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\n \n\n \n \n Kaiser, K.; Germer, S.; Kuester, M.; Lorenz, S.; Stueve, P.; and Bens, O.\n\n\n \n \n \n \n \n Seespiegelschwankungen in Nordost-Deutschland : Beobachtung und Rekonstruktion.\n \n \n \n \n\n\n \n\n\n\n System Erde; Vol. 2,Issue 1; ISSN 21918589. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"SeespiegelschwankungenPaper\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
\n 
@article{kaiser_seespiegelschwankungen_2012,\n\ttitle = {Seespiegelschwankungen in {Nordost}-{Deutschland} : {Beobachtung} und {Rekonstruktion}},\n\tshorttitle = {Seespiegelschwankungen in {Nordost}-{Deutschland}},\n\turl = {https://gfzpublic.gfz-potsdam.de/pubman/item/item_65132},\n\tdoi = {10.2312/GFZ.SYSERDE.02.01.12},\n\tlanguage = {de},\n\turldate = {2023-07-17},\n\tjournal = {System Erde; Vol. 2},\n\tauthor = {Kaiser, Knut and Germer, Sonja and Kuester, Mathias and Lorenz, Sebastian and Stueve, Peter and Bens, Oliver},\n\tyear = {2012},\n\tpages = {Issue 1; ISSN 21918589},\n}\n\n
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\n \n\n \n \n Kaiser, K.; Lorenz, S.; Germer, S.; Juschus, O.; Küster, M.; Libra, J.; Bens, O.; and Hüttl, R. F.\n\n\n \n \n \n \n \n Late Quaternary evolution of rivers, lakes and peatlands in northeast Germany reflecting past climatic and human impact – an overview.\n \n \n \n \n\n\n \n\n\n\n E&G Quaternary Science Journal, 61(2): 103–132. July 2012.\n \n\n\n\n
\n\n\n\n \n \n \"LatePaper\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
\n 
@article{kaiser_late_2012,\n\ttitle = {Late {Quaternary} evolution of rivers, lakes and peatlands in northeast {Germany} reflecting past climatic and human impact – an overview},\n\tvolume = {61},\n\tissn = {2199-9090},\n\turl = {https://egqsj.copernicus.org/articles/61/103/2012/},\n\tdoi = {10.3285/eg.61.2.01},\n\tabstract = {Abstract. Die Kenntnis der regionalen Paläohydrologie ist eine wesentliche Grundlage für das Verständnis aktueller Umweltfragen, wie zum Beispiel nach den Gründen von hydrologischen Veränderungen, dem Einfluss von Landnutzungsstrategien und der Wirksamkeit von Renaturierungsvorhaben in Feuchtgebieten. Auch die Interpretation von Modellierungsergebnissen zu den künftigen Einflüssen des Klima- und Landnutzungswandels auf das Gewässersystem kann durch die Einbeziehung (prä-) historischer Analogien verbessert werden. Für das glazial geprägte nordostdeutsche Tiefland wurde eine Übersicht der vorliegenden paläohydrologischen Befunde für den Zeitraum der letzten etwa 20.000 Jahre erarbeitet. Die Entwicklung der Flüsse wurde mit Blick auf die Tal-/Auengenese und das Ablagerungsmilieu, die Veränderung des Tal- und Gerinneverlaufs sowie den Paläoabfluss bzw. das Paläohochwasser betrachtet. Wesentliche genetische Unterschiede bestehen zwischen Alt- (Elster- und Saalekaltzeit) und Jungmoränengebieten (Weichselkaltzeit) sowie zwischen hoch und tief gelegenen Tälern. Letztere sind stark durch Wasserspiegelveränderungen in der Nord- und Ostsee beeinflusst worden. Die Entwicklung der Seen wurde hinsichtlich der Seebildung, die überwiegend eine Folge der spätpleistozänen bis frühholozänen Toteistieftau-Dynamik ist, und der Veränderungen im Ablagerungsmilieu analysiert. Weiterhin standen Seespiegelveränderungen im Fokus, wobei sich hoch variable lokale Befunde mit einigen Übereinstimmungen zeigten. Der Überblick zur Moorentwicklung konzentrierte sich auf hydrogenetische Moorentwicklungsphasen und auf die langfristige Entwicklung des Grundwasserspiegels. Enge Beziehungen zwischen der Entwicklung der Flüsse, Seen und Moore bestanden insbesondere im Spätholozän durch komplexe Vermoorungsprozesse in den großen Flusstälern. Bis in das Spätholozän wurde die regionale Hydrologie überwiegend durch klimatische, geomorphologische und nicht-anthropogene biologische Faktoren gesteuert. Seit dem Spätmittelalter wurde in der Region das Gewässernetz und der Wasserkreislauf im starken Maß durch anthropogene Interventionen beeinflusst (z.B. Aufstau von Flüssen und Seen, Bau von Kanälen und Deichen, Moorkultivierung). In den letzten etwa 50 Jahren haben dann sogar die kurzfristigen anthropogenen Eingriffe, z.B. in Form von Abflussregulierung, Hydromelioration und künstlicher Seebildung, die Wirksamkeit langfristiger klimatischer und geomorphologischer Prozesse übertroffen.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2023-07-17},\n\tjournal = {E\\&amp;G Quaternary Science Journal},\n\tauthor = {Kaiser, Knut and Lorenz, Sebastian and Germer, Sonja and Juschus, Olaf and Küster, Mathias and Libra, Judy and Bens, Oliver and Hüttl, Reinhard F.},\n\tmonth = jul,\n\tyear = {2012},\n\tpages = {103--132},\n}\n\n
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\n Abstract. Die Kenntnis der regionalen Paläohydrologie ist eine wesentliche Grundlage für das Verständnis aktueller Umweltfragen, wie zum Beispiel nach den Gründen von hydrologischen Veränderungen, dem Einfluss von Landnutzungsstrategien und der Wirksamkeit von Renaturierungsvorhaben in Feuchtgebieten. Auch die Interpretation von Modellierungsergebnissen zu den künftigen Einflüssen des Klima- und Landnutzungswandels auf das Gewässersystem kann durch die Einbeziehung (prä-) historischer Analogien verbessert werden. Für das glazial geprägte nordostdeutsche Tiefland wurde eine Übersicht der vorliegenden paläohydrologischen Befunde für den Zeitraum der letzten etwa 20.000 Jahre erarbeitet. Die Entwicklung der Flüsse wurde mit Blick auf die Tal-/Auengenese und das Ablagerungsmilieu, die Veränderung des Tal- und Gerinneverlaufs sowie den Paläoabfluss bzw. das Paläohochwasser betrachtet. Wesentliche genetische Unterschiede bestehen zwischen Alt- (Elster- und Saalekaltzeit) und Jungmoränengebieten (Weichselkaltzeit) sowie zwischen hoch und tief gelegenen Tälern. Letztere sind stark durch Wasserspiegelveränderungen in der Nord- und Ostsee beeinflusst worden. Die Entwicklung der Seen wurde hinsichtlich der Seebildung, die überwiegend eine Folge der spätpleistozänen bis frühholozänen Toteistieftau-Dynamik ist, und der Veränderungen im Ablagerungsmilieu analysiert. Weiterhin standen Seespiegelveränderungen im Fokus, wobei sich hoch variable lokale Befunde mit einigen Übereinstimmungen zeigten. Der Überblick zur Moorentwicklung konzentrierte sich auf hydrogenetische Moorentwicklungsphasen und auf die langfristige Entwicklung des Grundwasserspiegels. Enge Beziehungen zwischen der Entwicklung der Flüsse, Seen und Moore bestanden insbesondere im Spätholozän durch komplexe Vermoorungsprozesse in den großen Flusstälern. Bis in das Spätholozän wurde die regionale Hydrologie überwiegend durch klimatische, geomorphologische und nicht-anthropogene biologische Faktoren gesteuert. Seit dem Spätmittelalter wurde in der Region das Gewässernetz und der Wasserkreislauf im starken Maß durch anthropogene Interventionen beeinflusst (z.B. Aufstau von Flüssen und Seen, Bau von Kanälen und Deichen, Moorkultivierung). In den letzten etwa 50 Jahren haben dann sogar die kurzfristigen anthropogenen Eingriffe, z.B. in Form von Abflussregulierung, Hydromelioration und künstlicher Seebildung, die Wirksamkeit langfristiger klimatischer und geomorphologischer Prozesse übertroffen.\n
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\n \n\n \n \n Kolditz, O.; Rink, K.; Shao, H.; Kalbacher, T.; Zacharias, S.; and Dietrich, P.\n\n\n \n \n \n \n \n International viewpoint and news.\n \n \n \n \n\n\n \n\n\n\n Environmental Earth Sciences, 66(4): 1279–1284. June 2012.\n \n\n\n\n
\n\n\n\n \n \n \"InternationalPaper\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{kolditz_international_2012,\n\ttitle = {International viewpoint and news},\n\tvolume = {66},\n\tissn = {1866-6280, 1866-6299},\n\turl = {http://link.springer.com/10.1007/s12665-012-1661-8},\n\tdoi = {10.1007/s12665-012-1661-8},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2023-07-17},\n\tjournal = {Environmental Earth Sciences},\n\tauthor = {Kolditz, Olaf and Rink, Karsten and Shao, Haibing and Kalbacher, Thomas and Zacharias, Steffen and Dietrich, Peter},\n\tmonth = jun,\n\tyear = {2012},\n\tpages = {1279--1284},\n}\n\n
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\n \n\n \n \n Kunkel, R.; Sorg, J.; Gasche, R.; Klump, J.; Kolditz, O.; Frenzel, M.; and Neidl, F.\n\n\n \n \n \n \n TEODOOR : Geodateninfrastruktur zur Verwaltung und Veröffentlichung von terrestrischen Beobachtungsdaten der HGF Infrastrukturmaßnahme TERENO aus verteilten Quellen.\n \n \n \n\n\n \n\n\n\n In Vernetztes Wissen - Daten, Menschen, Systeme : 6. Konferenz der Zentralbibliothek Forschungszentrum Jülich; 5. - 7. November 2012; Proceedingsband; [WissKom2012], volume 21, of Schriften des Forschungszentrums Jülich. Reihe Umwelt/Environment, pages 75–92, January 2012. Mittermaier, B.\n \n\n\n\n
\n\n\n\n \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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@inproceedings{kunkel_teodoor_2012,\n\tseries = {Schriften des {Forschungszentrums} {Jülich}. {Reihe} {Umwelt}/{Environment}},\n\ttitle = {{TEODOOR} : {Geodateninfrastruktur} zur {Verwaltung} und {Veröffentlichung} von terrestrischen {Beobachtungsdaten} der {HGF} {Infrastrukturmaßnahme} {TERENO} aus verteilten {Quellen}},\n\tvolume = {21},\n\tlanguage = {deutsch},\n\tbooktitle = {Vernetztes {Wissen} - {Daten}, {Menschen}, {Systeme} : 6. {Konferenz} der {Zentralbibliothek} {Forschungszentrum} {Jülich}; 5. - 7. {November} 2012; {Proceedingsband}; [{WissKom2012}]},\n\tpublisher = {Mittermaier, B.},\n\tauthor = {Kunkel, Ralf and Sorg, Jürgen and Gasche, Rainer and Klump, Jens and Kolditz, Olaf and Frenzel, Mark and Neidl, Frank},\n\tmonth = jan,\n\tyear = {2012},\n\tpages = {75--92},\n}\n\n
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\n \n\n \n \n Lausch, A.; Pause, M.; Merbach, I.; Gwillym-Margianto, S.; Schulz, K.; Zacharias, S.; and Seppelt, R.\n\n\n \n \n \n \n \n Scale-specific Hyperspectral Remote Sensing Approach in Environmental Research.\n \n \n \n \n\n\n \n\n\n\n Photogrammetrie - Fernerkundung - Geoinformation, 2012(5): 589–601. October 2012.\n \n\n\n\n
\n\n\n\n \n \n \"Scale-specificPaper\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
\n 
@article{lausch_scale-specific_2012,\n\ttitle = {Scale-specific {Hyperspectral} {Remote} {Sensing} {Approach} in {Environmental} {Research}},\n\tvolume = {2012},\n\tissn = {1432-8364},\n\turl = {http://www.schweizerbart.de/papers/pfg/detail/2012/78559/Scale_specific_Hyperspectral_Remote_Sensing_Approa?af=crossref},\n\tdoi = {10.1127/1432-8364/2012/0141},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2023-07-17},\n\tjournal = {Photogrammetrie - Fernerkundung - Geoinformation},\n\tauthor = {Lausch, Angela and Pause, Marion and Merbach, Ines and Gwillym-Margianto, Sarah and Schulz, Karsten and Zacharias, Steffen and Seppelt, Ralf},\n\tmonth = oct,\n\tyear = {2012},\n\tpages = {589--601},\n}\n\n
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\n \n\n \n \n Martin-Puertas, C.; Brauer, A.; Dulski, P.; and Brademann, B.\n\n\n \n \n \n \n \n Testing climate–proxy stationarity throughout the Holocene: an example from the varved sediments of Lake Meerfelder Maar (Germany).\n \n \n \n \n\n\n \n\n\n\n Quaternary Science Reviews, 58: 56–65. December 2012.\n \n\n\n\n
\n\n\n\n \n \n \"TestingPaper\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
\n 
@article{martin-puertas_testing_2012,\n\ttitle = {Testing climate–proxy stationarity throughout the {Holocene}: an example from the varved sediments of {Lake} {Meerfelder} {Maar} ({Germany})},\n\tvolume = {58},\n\tissn = {02773791},\n\tshorttitle = {Testing climate–proxy stationarity throughout the {Holocene}},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0277379112004192},\n\tdoi = {10.1016/j.quascirev.2012.10.023},\n\tlanguage = {en},\n\turldate = {2023-07-17},\n\tjournal = {Quaternary Science Reviews},\n\tauthor = {Martin-Puertas, Celia and Brauer, Achim and Dulski, Peter and Brademann, Brian},\n\tmonth = dec,\n\tyear = {2012},\n\tpages = {56--65},\n}\n\n
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\n \n\n \n \n Merz, B.\n\n\n \n \n \n \n \n Wie gut können wir vergangene und zukünftige Veränderungen des Wasserhaushalts quantifizieren?.\n \n \n \n \n\n\n \n\n\n\n Hydrologie und Wasserbewirtschaftung / BfG – Jahrgang: 56.2012,5ISSN 1439. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"WiePaper\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\n\n
\n 
@article{merz_wie_2012,\n\ttitle = {Wie gut können wir vergangene und zukünftige {Veränderungen} des {Wasserhaushalts} quantifizieren?},\n\turl = {http://doi.bafg.de/HyWa/2012/HyWa_2012,5_1.pdf},\n\tdoi = {10.5675/HYWA_2012,5_1},\n\turldate = {2023-07-17},\n\tjournal = {Hydrologie und Wasserbewirtschaftung / BfG – Jahrgang: 56.2012},\n\tauthor = {Merz, Bruno},\n\tyear = {2012},\n\tkeywords = {Water resources research},\n\tpages = {5ISSN 1439},\n}\n\n
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\n \n\n \n \n Neugebauer, I.; Brauer, A.; Dräger, N.; Dulski, P.; Wulf, S.; Plessen, B.; Mingram, J.; Herzschuh, U.; and Brande, A.\n\n\n \n \n \n \n \n A Younger Dryas varve chronology from the Rehwiese palaeolake record in NE-Germany.\n \n \n \n \n\n\n \n\n\n\n Quaternary Science Reviews, 36: 91–102. March 2012.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\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{neugebauer_younger_2012,\n\ttitle = {A {Younger} {Dryas} varve chronology from the {Rehwiese} palaeolake record in {NE}-{Germany}},\n\tvolume = {36},\n\tissn = {02773791},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0277379111004033},\n\tdoi = {10.1016/j.quascirev.2011.12.010},\n\tlanguage = {en},\n\turldate = {2023-07-17},\n\tjournal = {Quaternary Science Reviews},\n\tauthor = {Neugebauer, Ina and Brauer, Achim and Dräger, Nadine and Dulski, Peter and Wulf, Sabine and Plessen, Birgit and Mingram, Jens and Herzschuh, Ulrike and Brande, Arthur},\n\tmonth = mar,\n\tyear = {2012},\n\tpages = {91--102},\n}\n\n
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\n \n\n \n \n Rink, K.; Kalbacher, T.; and Kolditz, O.\n\n\n \n \n \n \n \n Visual data exploration for hydrological analysis.\n \n \n \n \n\n\n \n\n\n\n Environmental Earth Sciences, 65(5): 1395–1403. March 2012.\n \n\n\n\n
\n\n\n\n \n \n \"VisualPaper\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
\n 
@article{rink_visual_2012,\n\ttitle = {Visual data exploration for hydrological analysis},\n\tvolume = {65},\n\tissn = {1866-6280, 1866-6299},\n\turl = {http://link.springer.com/10.1007/s12665-011-1230-6},\n\tdoi = {10.1007/s12665-011-1230-6},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2023-07-17},\n\tjournal = {Environmental Earth Sciences},\n\tauthor = {Rink, Karsten and Kalbacher, Thomas and Kolditz, Olaf},\n\tmonth = mar,\n\tyear = {2012},\n\tpages = {1395--1403},\n}\n\n
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\n \n\n \n \n Rosenbaum, U.; Bogena, H. R.; Herbst, M.; Huisman, J. A.; Peterson, T. J.; Weuthen, A.; Western, A. W.; and Vereecken, H.\n\n\n \n \n \n \n \n Seasonal and event dynamics of spatial soil moisture patterns at the small catchment scale.\n \n \n \n \n\n\n \n\n\n\n Water Resources Research, 48(10): 2011WR011518. October 2012.\n \n\n\n\n
\n\n\n\n \n \n \"SeasonalPaper\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
\n 
@article{rosenbaum_seasonal_2012,\n\ttitle = {Seasonal and event dynamics of spatial soil moisture patterns at the small catchment scale},\n\tvolume = {48},\n\tissn = {0043-1397, 1944-7973},\n\turl = {https://onlinelibrary.wiley.com/doi/10.1029/2011WR011518},\n\tdoi = {10.1029/2011WR011518},\n\tlanguage = {en},\n\tnumber = {10},\n\turldate = {2023-07-17},\n\tjournal = {Water Resources Research},\n\tauthor = {Rosenbaum, U. and Bogena, H. R. and Herbst, M. and Huisman, J. A. and Peterson, T. J. and Weuthen, A. and Western, A. W. and Vereecken, H.},\n\tmonth = oct,\n\tyear = {2012},\n\tpages = {2011WR011518},\n}\n\n
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\n \n\n \n \n Schmidt, C.; Musolff, A.; Trauth, N.; Vieweg, M.; and Fleckenstein, J. H.\n\n\n \n \n \n \n \n Transient analysis of fluctuations of electrical conductivity as tracer in the stream bed.\n \n \n \n \n\n\n \n\n\n\n Hydrology and Earth System Sciences, 16(10): 3689–3697. October 2012.\n \n\n\n\n
\n\n\n\n \n \n \"TransientPaper\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
\n 
@article{schmidt_transient_2012,\n\ttitle = {Transient analysis of fluctuations of electrical conductivity as tracer in the stream bed},\n\tvolume = {16},\n\tissn = {1607-7938},\n\turl = {https://hess.copernicus.org/articles/16/3689/2012/},\n\tdoi = {10.5194/hess-16-3689-2012},\n\tabstract = {Abstract. Spatial patterns of water flux in the stream bed are controlled by the distribution of hydraulic conductivity, bedform-induced head gradients and the connectivity to the adjoining groundwater system. The water fluxes vary over time driven by short-term flood events or seasonal variations in stream flow and groundwater level. Variations of electrical conductivity (EC) are used as a natural tracer to detect transient travel times and flow velocities in an in-stream gravel bar. We present a method to estimate travel times between the stream and measuring locations in the gravel bar by non-linearly matching the EC signals in the time domain. The amount of temporal distortion required to obtain the optimal matching is related to the travel time of the signal. Our analysis revealed that the travel times increase at higher stream flows because lateral head gradients across the gravel bar become significantly smaller at the time.},\n\tlanguage = {en},\n\tnumber = {10},\n\turldate = {2023-07-17},\n\tjournal = {Hydrology and Earth System Sciences},\n\tauthor = {Schmidt, C. and Musolff, A. and Trauth, N. and Vieweg, M. and Fleckenstein, J. H.},\n\tmonth = oct,\n\tyear = {2012},\n\tpages = {3689--3697},\n}\n\n
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\n Abstract. Spatial patterns of water flux in the stream bed are controlled by the distribution of hydraulic conductivity, bedform-induced head gradients and the connectivity to the adjoining groundwater system. The water fluxes vary over time driven by short-term flood events or seasonal variations in stream flow and groundwater level. Variations of electrical conductivity (EC) are used as a natural tracer to detect transient travel times and flow velocities in an in-stream gravel bar. We present a method to estimate travel times between the stream and measuring locations in the gravel bar by non-linearly matching the EC signals in the time domain. The amount of temporal distortion required to obtain the optimal matching is related to the travel time of the signal. Our analysis revealed that the travel times increase at higher stream flows because lateral head gradients across the gravel bar become significantly smaller at the time.\n
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\n \n\n \n \n Smiatek, G.; Kunstmann, H.; and Werhahn, J.\n\n\n \n \n \n \n \n Implementation and performance analysis of a high resolution coupled numerical weather and river runoff prediction model system for an Alpine catchment.\n \n \n \n \n\n\n \n\n\n\n Environmental Modelling & Software, 38: 231–243. December 2012.\n \n\n\n\n
\n\n\n\n \n \n \"ImplementationPaper\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
\n 
@article{smiatek_implementation_2012,\n\ttitle = {Implementation and performance analysis of a high resolution coupled numerical weather and river runoff prediction model system for an {Alpine} catchment},\n\tvolume = {38},\n\tissn = {13648152},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S1364815212001818},\n\tdoi = {10.1016/j.envsoft.2012.06.001},\n\tlanguage = {en},\n\turldate = {2023-07-17},\n\tjournal = {Environmental Modelling \\& Software},\n\tauthor = {Smiatek, Gerhard and Kunstmann, Harald and Werhahn, Johannes},\n\tmonth = dec,\n\tyear = {2012},\n\tpages = {231--243},\n}\n\n
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\n \n\n \n \n Tolksdorf, J. F.; and Kaiser, K.\n\n\n \n \n \n \n \n Holocene aeolian dynamics in the European sand-belt as indicated by geochronological data: Holocene aeolian dynamics in the European sand-belt.\n \n \n \n \n\n\n \n\n\n\n Boreas, 41(3): 408–421. July 2012.\n \n\n\n\n
\n\n\n\n \n \n \"HolocenePaper\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
\n 
@article{tolksdorf_holocene_2012,\n\ttitle = {Holocene aeolian dynamics in the {European} sand-belt as indicated by geochronological data: {Holocene} aeolian dynamics in the {European} sand-belt},\n\tvolume = {41},\n\tissn = {03009483},\n\tshorttitle = {Holocene aeolian dynamics in the {European} sand-belt as indicated by geochronological data},\n\turl = {https://onlinelibrary.wiley.com/doi/10.1111/j.1502-3885.2012.00247.x},\n\tdoi = {10.1111/j.1502-3885.2012.00247.x},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2023-07-17},\n\tjournal = {Boreas},\n\tauthor = {Tolksdorf, Johann Friedrich and Kaiser, Knut},\n\tmonth = jul,\n\tyear = {2012},\n\tpages = {408--421},\n}\n\n
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\n \n\n \n \n Tum, M.; and Borg, E.\n\n\n \n \n \n \n \n Comparing results of a remote sensing driven interception-infiltration model for regional to global applications with ECMWF data.\n \n \n \n \n\n\n \n\n\n\n In Neale, C. M. U.; and Maltese, A., editor(s), pages 853102, Edinburgh, United Kingdom, October 2012. \n \n\n\n\n
\n\n\n\n \n \n \"ComparingPaper\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
\n 
@inproceedings{tum_comparing_2012,\n\taddress = {Edinburgh, United Kingdom},\n\ttitle = {Comparing results of a remote sensing driven interception-infiltration model for regional to global applications with {ECMWF} data},\n\turl = {http://proceedings.spiedigitallibrary.org/proceeding.aspx?doi=10.1117/12.974553},\n\tdoi = {10.1117/12.974553},\n\turldate = {2023-07-17},\n\tauthor = {Tum, M. and Borg, E.},\n\teditor = {Neale, Christopher M. U. and Maltese, Antonino},\n\tmonth = oct,\n\tyear = {2012},\n\tpages = {853102},\n}\n\n
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\n \n\n \n \n Vogl, S.; Laux, P.; Qiu, W.; Mao, G.; and Kunstmann, H.\n\n\n \n \n \n \n \n Copula-based assimilation of radar and gauge information to derive bias-corrected precipitation fields.\n \n \n \n \n\n\n \n\n\n\n Hydrology and Earth System Sciences, 16(7): 2311–2328. July 2012.\n \n\n\n\n
\n\n\n\n \n \n \"Copula-basedPaper\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
\n 
@article{vogl_copula-based_2012,\n\ttitle = {Copula-based assimilation of radar and gauge information to derive bias-corrected precipitation fields},\n\tvolume = {16},\n\tissn = {1607-7938},\n\turl = {https://hess.copernicus.org/articles/16/2311/2012/},\n\tdoi = {10.5194/hess-16-2311-2012},\n\tabstract = {Abstract. This study addresses the problem of combining radar information and gauge measurements. Gauge measurements are the best available source of absolute rainfall intensity albeit their spatial availability is limited. Precipitation information obtained by radar mimics well the spatial patterns but is biased for their absolute values.  In this study copula models are used to describe the dependence structure between gauge observations and rainfall derived from radar reflectivity at the corresponding grid cells. After appropriate time series transformation to generate "iid" variates, only the positive pairs (radar {\\textgreater}0, gauge {\\textgreater}0) of the residuals are considered. As not each grid cell can be assigned to one gauge, the integration of point information, i.e. gauge rainfall intensities, is achieved by considering the structure and the strength of dependence between the radar pixels and all the gauges within the radar image. Two different approaches, namely Maximum Theta and Multiple Theta, are presented. They finally allow for generating precipitation fields that mimic the spatial patterns of the radar fields and correct them for biases in their absolute rainfall intensities. The performance of the approach, which can be seen as a bias-correction for radar fields, is demonstrated for the Bavarian Alps. The bias-corrected rainfall fields are compared to a field of interpolated gauge values (ordinary kriging) and are validated with available gauge measurements. The simulated precipitation fields are compared to an operationally corrected radar precipitation field (RADOLAN). The copula-based approach performs similarly well as indicated by different validation measures and successfully corrects for errors in the radar precipitation.},\n\tlanguage = {en},\n\tnumber = {7},\n\turldate = {2023-07-17},\n\tjournal = {Hydrology and Earth System Sciences},\n\tauthor = {Vogl, S. and Laux, P. and Qiu, W. and Mao, G. and Kunstmann, H.},\n\tmonth = jul,\n\tyear = {2012},\n\tpages = {2311--2328},\n}\n\n
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\n Abstract. This study addresses the problem of combining radar information and gauge measurements. Gauge measurements are the best available source of absolute rainfall intensity albeit their spatial availability is limited. Precipitation information obtained by radar mimics well the spatial patterns but is biased for their absolute values. In this study copula models are used to describe the dependence structure between gauge observations and rainfall derived from radar reflectivity at the corresponding grid cells. After appropriate time series transformation to generate \"iid\" variates, only the positive pairs (radar \\textgreater0, gauge \\textgreater0) of the residuals are considered. As not each grid cell can be assigned to one gauge, the integration of point information, i.e. gauge rainfall intensities, is achieved by considering the structure and the strength of dependence between the radar pixels and all the gauges within the radar image. Two different approaches, namely Maximum Theta and Multiple Theta, are presented. They finally allow for generating precipitation fields that mimic the spatial patterns of the radar fields and correct them for biases in their absolute rainfall intensities. The performance of the approach, which can be seen as a bias-correction for radar fields, is demonstrated for the Bavarian Alps. The bias-corrected rainfall fields are compared to a field of interpolated gauge values (ordinary kriging) and are validated with available gauge measurements. The simulated precipitation fields are compared to an operationally corrected radar precipitation field (RADOLAN). The copula-based approach performs similarly well as indicated by different validation measures and successfully corrects for errors in the radar precipitation.\n
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