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\n  \n 2011\n \n \n (11)\n \n \n
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\n \n\n \n \n David, T.; Krebs, P.; Borchardt, D.; and Von Tümpling, W.\n\n\n \n \n \n \n \n Element patterns for particulate matter in stormwater effluent.\n \n \n \n \n\n\n \n\n\n\n Water Science and Technology, 63(12): 3013–3019. June 2011.\n \n\n\n\n
\n\n\n\n \n \n \"ElementPaper\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{david_element_2011,\n\ttitle = {Element patterns for particulate matter in stormwater effluent},\n\tvolume = {63},\n\tissn = {0273-1223, 1996-9732},\n\turl = {https://iwaponline.com/wst/article/63/12/3013/14589/Element-patterns-for-particulate-matter-in},\n\tdoi = {10.2166/wst.2011.606},\n\tabstract = {Particulate matter in stormwater deteriorates the quality of receiving water and sediment. Characterization of stormwater particulate matter by means of its particle-associated element pattern provides an aid to determining its impact on receiving surface waters. During a 6 month measurement campaign, we determined particle-associated concentrations of major pollutants and rare earths for three combined water/stormwater outlets in the town of Staßfurt. We differentiated the particle-associated constituents on the basis of a hierarchical cluster analysis. Repeating the cluster analysis on random subsets, we gained information about the variability of the element patterns between and within the sites. In general, constituents associated with sewage and sewer sediment behave differently compared with constituents associated with runoff. The degree to which associations can be established for element patterns from site to site is limited by the variability encountered within sample sets taken from individual sites. The latter variability depends on the complexity of the catchment.},\n\tlanguage = {en},\n\tnumber = {12},\n\turldate = {2023-07-17},\n\tjournal = {Water Science and Technology},\n\tauthor = {David, T. and Krebs, P. and Borchardt, D. and Von Tümpling, W.},\n\tmonth = jun,\n\tyear = {2011},\n\tpages = {3013--3019},\n}\n\n
\n
\n\n\n
\n Particulate matter in stormwater deteriorates the quality of receiving water and sediment. Characterization of stormwater particulate matter by means of its particle-associated element pattern provides an aid to determining its impact on receiving surface waters. During a 6 month measurement campaign, we determined particle-associated concentrations of major pollutants and rare earths for three combined water/stormwater outlets in the town of Staßfurt. We differentiated the particle-associated constituents on the basis of a hierarchical cluster analysis. Repeating the cluster analysis on random subsets, we gained information about the variability of the element patterns between and within the sites. In general, constituents associated with sewage and sewer sediment behave differently compared with constituents associated with runoff. The degree to which associations can be established for element patterns from site to site is limited by the variability encountered within sample sets taken from individual sites. The latter variability depends on the complexity of the catchment.\n
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\n \n\n \n \n Germer, S.; Kaiser, K.; Bens, O.; and Hüttl, R.\n\n\n \n \n \n \n Water Balance Changes and Responses of Ecosystems and Society in the Berlin-Brandenburg Region - a Review.\n \n \n \n\n\n \n\n\n\n Die Erde, 142: 65–95. January 2011.\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
@article{germer_water_2011,\n\ttitle = {Water {Balance} {Changes} and {Responses} of {Ecosystems} and {Society} in the {Berlin}-{Brandenburg} {Region} - a {Review}},\n\tvolume = {142},\n\tjournal = {Die Erde},\n\tauthor = {Germer, Sonja and Kaiser, Knut and Bens, Oliver and Hüttl, Reinhard},\n\tmonth = jan,\n\tyear = {2011},\n\tpages = {65--95},\n}\n\n
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\n \n\n \n \n Graf, A.; Prolingheuer, N.; Schickling, A.; Schmidt, M.; Schneider, K.; Schüttemeyer, D.; Herbst, M.; Huisman, J. A.; Weihermüller, L.; Scharnagl, B.; Steenpass, C.; Harms, R.; and Vereecken, H.\n\n\n \n \n \n \n \n Temporal Downscaling of Soil Carbon Dioxide Efflux Measurements Based on Time-Stable Spatial Patterns.\n \n \n \n \n\n\n \n\n\n\n Vadose Zone Journal, 10(1): 239–251. February 2011.\n \n\n\n\n
\n\n\n\n \n \n \"TemporalPaper\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{graf_temporal_2011,\n\ttitle = {Temporal {Downscaling} of {Soil} {Carbon} {Dioxide} {Efflux} {Measurements} {Based} on {Time}-{Stable} {Spatial} {Patterns}},\n\tvolume = {10},\n\tissn = {15391663},\n\turl = {http://doi.wiley.com/10.2136/vzj2009.0152},\n\tdoi = {10.2136/vzj2009.0152},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2023-07-17},\n\tjournal = {Vadose Zone Journal},\n\tauthor = {Graf, Alexander and Prolingheuer, Nils and Schickling, Anke and Schmidt, Marius and Schneider, Karl and Schüttemeyer, Dirk and Herbst, Michael and Huisman, Johan A. and Weihermüller, Lutz and Scharnagl, Benedikt and Steenpass, Christian and Harms, Rainer and Vereecken, Harry},\n\tmonth = feb,\n\tyear = {2011},\n\tpages = {239--251},\n}\n\n
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\n \n\n \n \n Jonard, F.; Weihermuller, L.; Jadoon, K. Z.; Schwank, M.; Vereecken, H.; and Lambot, S.\n\n\n \n \n \n \n \n Mapping Field-Scale Soil Moisture With L-Band Radiometer and Ground-Penetrating Radar Over Bare Soil.\n \n \n \n \n\n\n \n\n\n\n IEEE Transactions on Geoscience and Remote Sensing, 49(8): 2863–2875. August 2011.\n \n\n\n\n
\n\n\n\n \n \n \"MappingPaper\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{jonard_mapping_2011,\n\ttitle = {Mapping {Field}-{Scale} {Soil} {Moisture} {With} {L}-{Band} {Radiometer} and {Ground}-{Penetrating} {Radar} {Over} {Bare} {Soil}},\n\tvolume = {49},\n\tissn = {0196-2892, 1558-0644},\n\turl = {http://ieeexplore.ieee.org/document/5751671/},\n\tdoi = {10.1109/TGRS.2011.2114890},\n\tnumber = {8},\n\turldate = {2023-07-17},\n\tjournal = {IEEE Transactions on Geoscience and Remote Sensing},\n\tauthor = {Jonard, François and Weihermuller, Lutz and Jadoon, Khan Zaib and Schwank, Mike and Vereecken, Harry and Lambot, Sébastien},\n\tmonth = aug,\n\tyear = {2011},\n\tpages = {2863--2875},\n}\n\n
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\n \n\n \n \n Laux, P.; Vogl, S.; Qiu, W.; Knoche, H. R.; and Kunstmann, H.\n\n\n \n \n \n \n \n Copula-based statistical refinement of precipitation in RCM simulations over complex terrain.\n \n \n \n \n\n\n \n\n\n\n Hydrology and Earth System Sciences, 15(7): 2401–2419. July 2011.\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{laux_copula-based_2011,\n\ttitle = {Copula-based statistical refinement of precipitation in {RCM} simulations over complex terrain},\n\tvolume = {15},\n\tissn = {1607-7938},\n\turl = {https://hess.copernicus.org/articles/15/2401/2011/},\n\tdoi = {10.5194/hess-15-2401-2011},\n\tabstract = {Abstract. This paper presents a new Copula-based method for further downscaling regional climate simulations. It is developed, applied and evaluated for selected stations in the alpine region of Germany. Apart from the common way to use Copulas to model the extreme values, a strategy is proposed which allows to model continuous time series. As the concept of Copulas requires independent and identically distributed (iid) random variables, meteorological fields are transformed using an ARMA-GARCH time series model. In this paper, we focus on the positive pairs of observed and modelled (RCM) precipitation. According to the empirical copulas, significant upper and lower tail dependence between observed and modelled precipitation can be observed. These dependence structures are further conditioned on the prevailing large-scale weather situation. Based on the derived theoretical Copula models, stochastic rainfall simulations are performed, finally allowing for bias corrected and locally refined RCM simulations.},\n\tlanguage = {en},\n\tnumber = {7},\n\turldate = {2023-07-17},\n\tjournal = {Hydrology and Earth System Sciences},\n\tauthor = {Laux, P. and Vogl, S. and Qiu, W. and Knoche, H. R. and Kunstmann, H.},\n\tmonth = jul,\n\tyear = {2011},\n\tpages = {2401--2419},\n}\n\n
\n
\n\n\n
\n Abstract. This paper presents a new Copula-based method for further downscaling regional climate simulations. It is developed, applied and evaluated for selected stations in the alpine region of Germany. Apart from the common way to use Copulas to model the extreme values, a strategy is proposed which allows to model continuous time series. As the concept of Copulas requires independent and identically distributed (iid) random variables, meteorological fields are transformed using an ARMA-GARCH time series model. In this paper, we focus on the positive pairs of observed and modelled (RCM) precipitation. According to the empirical copulas, significant upper and lower tail dependence between observed and modelled precipitation can be observed. These dependence structures are further conditioned on the prevailing large-scale weather situation. Based on the derived theoretical Copula models, stochastic rainfall simulations are performed, finally allowing for bias corrected and locally refined RCM simulations.\n
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\n \n\n \n \n Mester, A.; Kruk, J.; Zimmermann, E.; and Vereecken, H.\n\n\n \n \n \n \n \n Quantitative Two‐Layer Conductivity Inversion of Multi‐Configuration Electromagnetic Induction Measurements.\n \n \n \n \n\n\n \n\n\n\n Vadose Zone Journal, 10(4): 1319–1330. November 2011.\n \n\n\n\n
\n\n\n\n \n \n \"QuantitativePaper\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{mester_quantitative_2011,\n\ttitle = {Quantitative {Two}‐{Layer} {Conductivity} {Inversion} of {Multi}‐{Configuration} {Electromagnetic} {Induction} {Measurements}},\n\tvolume = {10},\n\tissn = {1539-1663, 1539-1663},\n\turl = {https://onlinelibrary.wiley.com/doi/10.2136/vzj2011.0035},\n\tdoi = {10.2136/vzj2011.0035},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2023-07-17},\n\tjournal = {Vadose Zone Journal},\n\tauthor = {Mester, Achim and Kruk, Jan and Zimmermann, Egon and Vereecken, Harry},\n\tmonth = nov,\n\tyear = {2011},\n\tpages = {1319--1330},\n}\n\n
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\n \n\n \n \n Rivera Villarreyes, C. A.; Baroni, G.; and Oswald, S. E.\n\n\n \n \n \n \n \n Integral quantification of seasonal soil moisture changes in farmland by cosmic-ray neutrons.\n \n \n \n \n\n\n \n\n\n\n Hydrology and Earth System Sciences, 15(12): 3843–3859. December 2011.\n \n\n\n\n
\n\n\n\n \n \n \"IntegralPaper\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{rivera_villarreyes_integral_2011,\n\ttitle = {Integral quantification of seasonal soil moisture changes in farmland by cosmic-ray neutrons},\n\tvolume = {15},\n\tissn = {1607-7938},\n\turl = {https://hess.copernicus.org/articles/15/3843/2011/},\n\tdoi = {10.5194/hess-15-3843-2011},\n\tabstract = {Abstract. Soil moisture at the plot or hill-slope scale is an important link between local vadose zone hydrology and catchment hydrology. However, so far only a few methods are on the way to close this gap between point measurements and remote sensing. One new measurement methodology that could determine integral soil moisture at this scale is the aboveground sensing of cosmic-ray neutrons, more precisely of ground albedo neutrons. The present study performed ground albedo neutron sensing (GANS) at an agricultural field in northern Germany. To test the method it was accompanied by other soil moisture measurements for a summer period with corn crops growing on the field and a later autumn-winter period without crops and a longer period of snow cover. Additionally, meteorological data and aboveground crop biomass were included in the evaluation. Hourly values of ground albedo neutron sensing showed a high statistical variability. Six-hourly values corresponded well with classical soil moisture measurements, after calibration based on one reference dry period and three wet periods of a few days each. Crop biomass seemed to influence the measurements only to minor degree, opposed to snow cover which has a more substantial impact on the measurements. The latter could be quantitatively related to a newly introduced field neutron ratio estimated from neutron counting rates of two energy ranges. Overall, our study outlines a procedure to apply the ground albedo neutron sensing method based on devices now commercially available, without the need for accompanying numerical simulations and suited for longer monitoring periods after initial calibration.},\n\tlanguage = {en},\n\tnumber = {12},\n\turldate = {2023-07-17},\n\tjournal = {Hydrology and Earth System Sciences},\n\tauthor = {Rivera Villarreyes, C. A. and Baroni, G. and Oswald, S. E.},\n\tmonth = dec,\n\tyear = {2011},\n\tpages = {3843--3859},\n}\n\n
\n
\n\n\n
\n Abstract. Soil moisture at the plot or hill-slope scale is an important link between local vadose zone hydrology and catchment hydrology. However, so far only a few methods are on the way to close this gap between point measurements and remote sensing. One new measurement methodology that could determine integral soil moisture at this scale is the aboveground sensing of cosmic-ray neutrons, more precisely of ground albedo neutrons. The present study performed ground albedo neutron sensing (GANS) at an agricultural field in northern Germany. To test the method it was accompanied by other soil moisture measurements for a summer period with corn crops growing on the field and a later autumn-winter period without crops and a longer period of snow cover. Additionally, meteorological data and aboveground crop biomass were included in the evaluation. Hourly values of ground albedo neutron sensing showed a high statistical variability. Six-hourly values corresponded well with classical soil moisture measurements, after calibration based on one reference dry period and three wet periods of a few days each. Crop biomass seemed to influence the measurements only to minor degree, opposed to snow cover which has a more substantial impact on the measurements. The latter could be quantitatively related to a newly introduced field neutron ratio estimated from neutron counting rates of two energy ranges. Overall, our study outlines a procedure to apply the ground albedo neutron sensing method based on devices now commercially available, without the need for accompanying numerical simulations and suited for longer monitoring periods after initial calibration.\n
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\n \n\n \n \n Rosenbaum, U.; Huisman, J. A.; Vrba, J.; Vereecken, H.; and Bogena, H. R.\n\n\n \n \n \n \n \n Correction of Temperature and Electrical Conductivity Effects on Dielectric Permittivity Measurements with ECH $_{\\textrm{2}}$ O Sensors.\n \n \n \n \n\n\n \n\n\n\n Vadose Zone Journal, 10(2): 582–593. May 2011.\n \n\n\n\n
\n\n\n\n \n \n \"CorrectionPaper\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_correction_2011,\n\ttitle = {Correction of {Temperature} and {Electrical} {Conductivity} {Effects} on {Dielectric} {Permittivity} {Measurements} with {ECH} $_{\\textrm{2}}$ {O} {Sensors}},\n\tvolume = {10},\n\tissn = {15391663},\n\turl = {http://doi.wiley.com/10.2136/vzj2010.0083},\n\tdoi = {10.2136/vzj2010.0083},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2023-07-17},\n\tjournal = {Vadose Zone Journal},\n\tauthor = {Rosenbaum, U. and Huisman, J. A. and Vrba, J. and Vereecken, H. and Bogena, H. R.},\n\tmonth = may,\n\tyear = {2011},\n\tpages = {582--593},\n}\n\n
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\n \n\n \n \n Scharnagl, B.; Vrugt, J. A.; Vereecken, H.; and Herbst, M.\n\n\n \n \n \n \n \n Bayesian inverse modelling of in situ soil water dynamics: using prior information about the soil hydraulic properties.\n \n \n \n \n\n\n \n\n\n\n Technical Report Vadose Zone Hydrology/Modelling approaches, February 2011.\n \n\n\n\n
\n\n\n\n \n \n \"BayesianPaper\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
@techreport{scharnagl_bayesian_2011,\n\ttype = {preprint},\n\ttitle = {Bayesian inverse modelling of in situ soil water dynamics: using prior information about the soil hydraulic properties},\n\tshorttitle = {Bayesian inverse modelling of in situ soil water dynamics},\n\turl = {https://hess.copernicus.org/preprints/8/2019/2011/hessd-8-2019-2011.pdf},\n\tabstract = {Abstract. In situ observations of soil water state variables under natural boundary conditions are often used to estimate field-scale soil hydraulic properties. However, many contributions to the soil hydrological literature have demonstrated that the information content of such data is insufficient to reliably estimate all the soil hydraulic parameters. In this case study, we tested whether prior information about the soil hydraulic properties could help improve the identifiability of the van Genuchten-Mualem (VGM) parameters. Three different prior distributions with increasing complexity were formulated using the ROSETTA pedotransfer function (PTF) with input data that constitutes basic soil information and is readily available in most vadose zone studies. The inverse problem was posed in a formal Bayesian framework and solved using Markov chain Monte Carlo (MCMC) simulation with the DiffeRential Evolution Adaptive Metropolis (DREAM) algorithm. Synthetic and real-world soil water content data were used to illustrate our approach. The results of this study corroborate and explicate findings previously reported in the literature. Indeed, soil water content data alone contained insufficient information to reasonably constrain all VGM parameters. The identifiability of these soil hydraulic parameters was substantially improved when an informative prior distribution was used with detailed knowledge of the correlation structure among the respective VGM parameters. A biased prior did not distort the results, which inspires confidence in the robustness and effectiveness of the presented method. The Bayesian framework presented in this study can be applied to a wide range of vadose zone studies and provides a blueprint for the use of prior information in inverse modelling of soil hydraulic properties at various spatial scales.},\n\turldate = {2023-07-17},\n\tinstitution = {Vadose Zone Hydrology/Modelling approaches},\n\tauthor = {Scharnagl, B. and Vrugt, J. A. and Vereecken, H. and Herbst, M.},\n\tmonth = feb,\n\tyear = {2011},\n\tdoi = {10.5194/hessd-8-2019-2011},\n}\n\n
\n
\n\n\n
\n Abstract. In situ observations of soil water state variables under natural boundary conditions are often used to estimate field-scale soil hydraulic properties. However, many contributions to the soil hydrological literature have demonstrated that the information content of such data is insufficient to reliably estimate all the soil hydraulic parameters. In this case study, we tested whether prior information about the soil hydraulic properties could help improve the identifiability of the van Genuchten-Mualem (VGM) parameters. Three different prior distributions with increasing complexity were formulated using the ROSETTA pedotransfer function (PTF) with input data that constitutes basic soil information and is readily available in most vadose zone studies. The inverse problem was posed in a formal Bayesian framework and solved using Markov chain Monte Carlo (MCMC) simulation with the DiffeRential Evolution Adaptive Metropolis (DREAM) algorithm. Synthetic and real-world soil water content data were used to illustrate our approach. The results of this study corroborate and explicate findings previously reported in the literature. Indeed, soil water content data alone contained insufficient information to reasonably constrain all VGM parameters. The identifiability of these soil hydraulic parameters was substantially improved when an informative prior distribution was used with detailed knowledge of the correlation structure among the respective VGM parameters. A biased prior did not distort the results, which inspires confidence in the robustness and effectiveness of the presented method. The Bayesian framework presented in this study can be applied to a wide range of vadose zone studies and provides a blueprint for the use of prior information in inverse modelling of soil hydraulic properties at various spatial scales.\n
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\n \n\n \n \n Wloczyk, C.; Borg, E.; Richter, R.; and Miegel, K.\n\n\n \n \n \n \n \n Estimation of instantaneous air temperature above vegetation and soil surfaces from Landsat 7 ETM+ data in northern Germany.\n \n \n \n \n\n\n \n\n\n\n International Journal of Remote Sensing, 32(24): 9119–9136. December 2011.\n \n\n\n\n
\n\n\n\n \n \n \"EstimationPaper\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{wloczyk_estimation_2011,\n\ttitle = {Estimation of instantaneous air temperature above vegetation and soil surfaces from {Landsat} 7 {ETM}+ data in northern {Germany}},\n\tvolume = {32},\n\tissn = {0143-1161, 1366-5901},\n\turl = {https://www.tandfonline.com/doi/full/10.1080/01431161.2010.550332},\n\tdoi = {10.1080/01431161.2010.550332},\n\tlanguage = {en},\n\tnumber = {24},\n\turldate = {2023-07-17},\n\tjournal = {International Journal of Remote Sensing},\n\tauthor = {Wloczyk, Carolin and Borg, Erik and Richter, Rudolf and Miegel, Konrad},\n\tmonth = dec,\n\tyear = {2011},\n\tpages = {9119--9136},\n}\n\n
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\n \n\n \n \n Zacharias, S.; Bogena, H.; Samaniego, L.; Mauder, M.; Fuß, R.; Pütz, T.; Frenzel, M.; Schwank, M.; Baessler, C.; Butterbach-Bahl, K.; Bens, O.; Borg, E.; Brauer, A.; Dietrich, P.; Hajnsek, I.; Helle, G.; Kiese, R.; Kunstmann, H.; Klotz, S.; Munch, J. C.; Papen, H.; Priesack, E.; Schmid, H. P.; Steinbrecher, R.; Rosenbaum, U.; Teutsch, G.; and Vereecken, H.\n\n\n \n \n \n \n \n A Network of Terrestrial Environmental Observatories in Germany.\n \n \n \n \n\n\n \n\n\n\n Vadose Zone Journal, 10(3): 955–973. August 2011.\n \n\n\n\n
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@article{zacharias_network_2011,\n\ttitle = {A {Network} of {Terrestrial} {Environmental} {Observatories} in {Germany}},\n\tvolume = {10},\n\tissn = {15391663},\n\turl = {http://doi.wiley.com/10.2136/vzj2010.0139},\n\tdoi = {10.2136/vzj2010.0139},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2023-07-17},\n\tjournal = {Vadose Zone Journal},\n\tauthor = {Zacharias, Steffen and Bogena, Heye and Samaniego, Luis and Mauder, Matthias and Fuß, Roland and Pütz, Thomas and Frenzel, Mark and Schwank, Mike and Baessler, Cornelia and Butterbach-Bahl, Klaus and Bens, Oliver and Borg, Erik and Brauer, Achim and Dietrich, Peter and Hajnsek, Irena and Helle, Gerhard and Kiese, Ralf and Kunstmann, Harald and Klotz, Stefan and Munch, Jean Charles and Papen, Hans and Priesack, Eckart and Schmid, Hans Peter and Steinbrecher, Rainer and Rosenbaum, Ulrike and Teutsch, Georg and Vereecken, Harry},\n\tmonth = aug,\n\tyear = {2011},\n\tpages = {955--973},\n}\n\n
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