Climate and Eddycovariance stations

Weather station with pluviometer at the Wüstebach test site (Photo: Marius Schmidt FZJ-IBG3)Weather station with pluviometer at the Wüstebach test site (Photo: Marius Schmidt FZJ-IBG3)12 climate stations across the Rur catchment measure key meteorological parameters (precipitation, air temperature and humidity, pressure, global radiation, wind speed and wind direction) since 2011 and are additionally equipped to monitor soil temperature and soil moisture at the 10-, 20-, and 50-cm depths. The general setup of each station consists of a multiparameter weather sensor (WXT520, Vaisala), partially supplemented by a standard Hellmann type tipping bucket rain gauge (Ecotech GmbH) or a weighing rain gauge (Pluvio2, Ott Hydromet GmbH), a pyronometer (CMP3, Kipp & Zonen), and a set of nine soil moisture sensors (HydraProbe, Stevens Water Monitoring Systems)

 

 

 

 

 

 

 

Eddy covariance stations at the Selhausen test site (Photo: Marius Schmidt FZJ-IBG3). Eddy covariance stations at the Selhausen test site (Photo: Marius Schmidt FZJ-IBG3). In addition, six fixed eddy covariance (EC) stations in Selhausen, Merzenhausen (discontinued in 2019), Ruraue (discontinued in 2017), Rollesbroich, and in the Wüstebach catchment continuously monitor fluxes of sensible heat, evapotranspiration, CO2, and momentum along with ancillary meteorological and soil variables. The common EC station setup consists of a sonic anemometer (CSAT3, Campbell Scientific) for measurements of the three-dimensional wind components, an open-path gas analyzer (Li7500, LI-COR) to obtain the air concentrations of H2O and CO2, an air temperature and humidity sensor (HMP45C, Vaisala), a four-component net radiometer (NR01, Hukseflux Thermal Sensors) for incoming and outgoing short- and long-wave radiation, a photosynthetically active radiation sensor (Li-190, LI-COR), and a heated standard Hellmann type tipping bucket rain gauge (Ecotech GmbH). The soil monitoring comprises multiple sensors for measuring soil temperature (TCAV, Campbell Scientific), soil moisture (CS616, Campbell Scientific), and soil heat flux (HFP01, Hukseflux). The EC raw data are obtained with a sampling rate of 20 Hz using a high-performance datalogger (CR3000, Campbell Scientific). Contact: This email address is being protected from spambots. You need JavaScript enabled to view it., This email address is being protected from spambots. You need JavaScript enabled to view it..

 

 

Cosmic-Ray Neutron Soil Moisture Stations

Cosmic-ray neutron and eddy covariance station at the Selhausen test site (Photo: Marius Schmidt FZJ-IBG3). Cosmic-ray neutron and eddy covariance station at the Selhausen test site (Photo: Marius Schmidt FZJ-IBG3). A network of 13 cosmic-ray neutron stations (CRNS) is used to measure field-scale soil moisture. The CRNS network covers the relevant land use types and allows characterization of temporal soil moisture dynamics across the entire Rur catchment. The CRNS are equipped with either a CRS-1000 or a CRS-2000/B cosmic-ray neutron probe (Hydroinnova LLC) that measure hourly neutron intensity. The CRNS probes measure integral soil moisture in a circular footprint centered on the detector with a diameter ranging from 260 to 480 m. Contact: This email address is being protected from spambots. You need JavaScript enabled to view it., This email address is being protected from spambots. You need JavaScript enabled to view it..

 

 

 

 

 

 

 

 

 

Weather radars

Weather radar tower at Sophienhöhe (Photo: Ralf-Uwe Limbach).Weather radar tower at Sophienhöhe (Photo: Ralf-Uwe Limbach).

The precipitation is recorded every 5 minutes by two dual polarized X-band Doppler weather radars (BoXPol of the University of Bonn and JuXPol of Forschungszentrum Jülich GmbH). Both radars use the DWSR-2001-X-SDP radar system (Enterprise Electronics Corporation) and an Enigma signal processor (GAMIC GmbH). The precipitation data products are collected by the BoXPol with a radial resolution of 100m and by the JuXPol with a resolution of 50m. Contact: This email address is being protected from spambots. You need JavaScript enabled to view it., This email address is being protected from spambots. You need JavaScript enabled to view it..

 

 

 

 

 

 

 

 

 

 

 

 

Streamflow Observation Stations

Runoff gauging station of the Rollesbroich research test site (Photo: Ferdinand Engels FZJ-IBG3).Runoff gauging station of the Rollesbroich research test site (Photo: Ferdinand Engels FZJ-IBG3).Runoff is measured in the intensive experimental catchments Rollesbroich and Wüstebach using gauging stations equipped with a combination of a V-notch weir for low-flow measurements and a Parshall flume to measure normal to high flows. In addition, runoff data from 39 official runoff gauging stations operated by the local water associations (i.e., WVER, Wasserverband Perlenbach, Erftverband) are made available via the data exchange platform TEODOOR. Instrumentation of the runoff stations include multi-probe sensors (YSI 6820, YSI Inc.) to measure pH, electrical conductivity, temperature, and turbidity in streamflow and autosamplers (AWS 2002, Ecotech) that allow event-based sampling at higher temporal resolution. Contact: This email address is being protected from spambots. You need JavaScript enabled to view it..

 

 

 

 

 

 

 

 

 

 

 

 

Geophysical Observations

EMI sleds at the Selhausen test site (Photo: Christian von Hebel FZJ-IBG3)EMI sleds at the Selhausen test site (Photo: Christian von Hebel FZJ-IBG3)Ground-penetrating radar and electromagnetic induction (EMI) measurements can be used to noninvasively investigate the structure, composition, and hydraulic state of the subsurface. At the Selhausen test site, large-scale investigations of agricultural fields in an area of 1 by 1 km were performed by using multi-coil EMI instruments. These were inserted into custom-made sleds (see picture) that were equipped with global positioning systems and pulled by an all-terrain vehicle. The multi-coil EMI instruments provide apparent electrical conductivity values for multiple depth ranges of investigation. These data can be used to numerically obtain subsurface structures that indicate hydrologically active layers. Contact: This email address is being protected from spambots. You need JavaScript enabled to view it., This email address is being protected from spambots. You need JavaScript enabled to view it.

 

 

 

 

 

 

 

 

Lysimeter Stations

Lysimeter station at the Rollesbroich test site (Photo: FZJ). Lysimeter station at the Rollesbroich test site (Photo: FZJ). A network of six lysimeter stations has been installed in the Rur catchment (four at Selhausen, one at Rollesbroich, and one at Wüstebach) to determine carbon and nitrogen fluxes, as well as precipitation, actual evapotranspiration (resolution of 0.01 mm), change in soil water storage, leachate, and upward directed water flow from capillary rise. Each lysimeter station features six lysimeters that are arranged in a hexagonal design around the centrally placed service unit hosting analytical and data recording devices. The lysimeters are made of stainless steel, with a surface area of 1.0 m2 and a length of 1.5 m. All lysimeters were filled with monolithic soil cores. Vegetation on the lysimeters is natural grassland with and without management or cereal crop rotation. The lower boundary condition of each lysimeter is controlled using parallel suction racks that were installed after the lysimeter was filled. The basic idea of the SOILCan lysimeter network is based on the “Space for Time” concept. To induce the effect of the predicted climate change in Germany on forest meadow, grassland and arable soils, lysimeters were translocated from their original sites along a temperature and precipitation gradient within and across TERENO observatories. Contact: This email address is being protected from spambots. You need JavaScript enabled to view it..

 

 

Remote Sensing

Drone with multispectral remote sensors (Photo: FZJ). Drone with multispectral remote sensors (Photo: FZJ). Multispectral remote sensing data have been used in water balance and N transport simulations in the Rur catchment. A new aspect is the implementation of multispectral, thermal and LIDAR data from drones (Unmanned Aerial Systems, UAS). TERENO sites are also used as test beds for future satellite missions, such as Tandem-L and ROSE-L. Those radar satellites are able to deliver data for soil moisture and vegetation structure. Airborne campaigns show the capabilities of these new sensors and provide initial data for algorithm development. Contact: This email address is being protected from spambots. You need JavaScript enabled to view it..

Ahmad, U., A. Alvino and S. Marino (2021): A Review of Crop Water Stress Assessment Using Remote Sensing. Remote Sens. 13(20): 4155. DOI: 10.3390/rs13204155


Andrade-Linares, D., M. Zistl-Schlingmann, B. Foesel, M. Dannenmann, S. Schulz and M. Schloter (2021): Short term effects of climate change and intensification of management on the abundance of microbes driving nitrogen turnover in montane grassland soils. Science of The Total Environment 780:146672. DOI: 10.1016/j.scitotenv.2021.146672


Anlanger, C., U. Risse‐Buhl, D. von Schiller, C. Noss, M. Weitere and A. Lorke (2021): Hydraulic and biological controls of biofilm nitrogen uptake in gravel‐bed streams. Limnology and Oceanography 66(11): 3887-3900. DOI: 10.1002/lno.11927Anlanger, C., U. Risse‐Buhl, D. von Schiller, C. Noss, M. Weitere and A. Lorke (2021): Hydraulic and biological controls of biofilm nitrogen uptake in gravel‐bed streams. Limnology and Oceanography 66(11): 3887-3900. DOI: 10.1002/lno.11927


Arnault, J., B. Fersch, T. Rummler, Z. Zhang, G.M. Quenum, J. Wie, M. Graf, P. Laux and H. Kunstmann (2021): Lateral terrestrial water flow contribution to summer 3 precipitation at continental scale – A comparison between 4 Europe and West Africa with WRF-Hydro-tag ensembles). Hydrological Processes 35(5). DOI: 10.1002/hyp.14183


Baatz, R., H-J. Hendricks-Franssen, E. Euskirchen, D. Sihi, M. Dietze, S. Ciavatta, K. Fennel, H. Beck, G. de Lannoy, V.N.R. Pauwels, C. Montzka, M. Williams, U. Mishra, S. Zacharias, A. Lausch, K.L. Van Looy, H. Bogena, M. Adamescu, A. Fox, K. Görgen, B. Naz, Y. Zeng and H. Vereecken (2021): Reanalysis in Earth System Science: Towards Terrestrial Ecosystem Reanalysis. Reviews of Geophysics 59(3), e2020RG000715. DOI: 10.1029/2020RG000715


Balting, D.F., M. Ionita, M. Wegmann, G. Helle, G.H. Schleser, N. Rimbu, M.B. Freund, I. Heinrich, D. Caldarescu and G. Lohmann (2021): Large-scale climate signals of a European oxygen isotope network from tree rings. Climate of the Past 17(3): 1005-1023. DOI: 10.5194/cp-17-1005-2021


Bates, J.S., C. Montzka, M. Schmidt and F. Jonard (2021): Estimating Canopy Density Parameters Time-Series for Winter Wheat Using UAS Mounted LiDAR. Remote Sensing 13(4):710. DOI: 10.3390/rs13040710


Beamish, A., L. Anbuhl, R. Behling, R. Goncalves, A. Lingenfelser, J. Neelmeijer, D. Rabe, D. Scheffler, M. Thiele and D. Spengler (2021): FERN.Lab: Bridging the gap between remote sensing academic research and society. Remote Sensing Applications: Society and Environment 24: 100641. DOI: 10.1016/j.rsase.2021.100641


Beck, H.E., M. Pan, D.G. Miralles, R.H. Reichle, W.A. Dorigo, S. Hahn, J. Sheffield, L. Karthikeyan, G. Balsamo, R.M. Parinussa, A.I.J.M. van Dijk, J. Du, J.S. Kimball, N. Vergopolan and E.F. Wood (2021): Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors. Hydrol. Earth Syst. Sci. 25: 17–40. DOI: 10.5194/hess-25-17-2021


Beyer, F., F. Jansen, G. Jurasinski, M. Koch, B. Schröder and F. Koebsch (2021): Drought years in peatland rewetting: rapid vegetation succession can maintain the net CO2 sink function. Biogeosciences 18(3): 917-935. DOI: 10.5194/bg-18-917-2021


Blume, T., L. Schneider and A. Güntner (2021): Comparative Analysis of Throughfall Observations in six Different Forest Stands: Influence of Seasons, Rainfall‐, and Stand Characteristics. Hydrological Processes: e14461. DOI: 10.1002/hyp.14461


Boas, T., H. Bogena, T. Grünwald, B. Heinesch, M. Schmidt, H. Vereecken, A. Western and H.J. Hendricks Franssen (2021): Improving the representation of cropland sites in the Community Land Model (CLM) version 5.0. Geosci. Mod. Dev. 14: 1-29. DOI: 10.5194/gmd-14-1-2021.


Bogena, H.R, V. Strati, A. Güntner, C.C. Chew and M. Schrön (2021): Innovative Methods for Non-invasive Monitoring of Hydrological Processes from Field to Catchment Scale. Front. Water 3: 641458. DOI: 10.3389/frwa.2021.641458


Botter, M., M. Zeeman, P. Burlando and S. Fatichi (2021): Impacts of fertilization on grassland productivity and water quality across the European Alps under current and warming climate: insights from a mechanistic model. Biogeosciences 18(6): 1917-1939. DOI: 10.5194/bg-18-1917-2021


Brauer, A. and R. Tiedemann (2021): GEOfokus: See- und Ozeansedimente in der Paläoklimaforschung. Geowissenschaftliche Mitteilungen 83: 7-22. DOI: 10.23689/fidgeo-3995


Brogi, C., J.A. Huisman, L. Weihermüller, M. Herbst and H. Vereecken (2021): Added value of geophysics-based soil mapping in agro-ecosystem simulations. Soil 7(1): 125-143. DOI: 10.5194/soil-7-125-2021


Bujak, I., C. Müller, R. Merz and K. Knöller (2021): High Spatial-Resolution Monitoring to Investigate Nitrate Export and Its Drivers in a Mesoscale River Catchment along an Anthropogenic Land-Cover Gradient. Hydrological Processes 35(12): e14361. DOI: 10.1002/hyp.14361


Burger, D.J., J. Vogel, A.M. Kooijman, R. Bol, E. de Rijke, J. Schoorl, ... and N. Gottselig (2021): Colloidal catchment response to snowmelt and precipitation events differs in a forested headwater catchment. Vadose Zone J. 20(3): e20126. DOI: 10.1002/vzj2.20126


Chang, K.Y., W.J. Riley, S.H. Knox, R.B. Jackson, G. McNicol, B. Poulter, T. Sachs,... and D. Zona (2021): Substantial hysteresis in emergent temperature sensitivity of global wetland CH4 emissions. Nature Communications 12(1): 2266. DOI: 10.1038/s41467-021-22452-1


Chen, Y., X. Feng and B. Fu (2021): An improved global remote-sensing-based surface soil moisture (RSSSM) dataset covering 2003--2018. Earth System Science Data 13(1): 1-31. DOI: 10.5194/essd-13-1-2021
Colliander, A., R. Reichle, W. Crow, M. Cosh, F. Chen, S. Chan,... and S.H. Yueh (2021): Validation of Soil Moisture Data Products from the NASA SMAP Mission. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15: 364-392.


Czymzik, M., O. Dellwig, R. Muscheler, P. Roeser, A. Brauer, J. Kaiser, ... and H.W. Arz (2021): Delayed Western Gotland Basin (Baltic Sea) ventilation in response to the onset of a Mid-Holocene climate oscillation. Quaternary Science Reviews 273: 107253. DOI: 10.1016/j.quascirev.2021.107253


De Cannière, S., M. Herbst, H. Vereecken, P. Defourny and F. Jonard (2021): Constraining water limitation of photosynthesis in a crop growth model with sun-induced chlorophyll fluorescence. Remote Sensing of Environment 267: 112722.


Dehaspe, J., F. Sarrazin, R. Kumar, J.H. Fleckenstein and A. Musolff (2021): Bending of the concentration discharge relationship can inform about in-stream nitrate removal. Hydrol. Earth Syst. Sci. 25: 6437–6463. DOI: 10.5194/hess-25-6437-2021


Delwiche, K.B., S.H. Knox, P. Gottschalk, T. Sachs et al. (2021): FLUXNET-CH4: A global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands. Earth Syst. Sci. Data 13(7): 3607–3689. DOI: 10.5194/essd-13-3607-2021


Dirmeyer, P.A., G. Balsamo, E.M. Blyth, R. Morrison and H.M. Cooper (2021): Land-atmosphere interactions exacerbated the drought and heatwave over northern Europe during summer 2018. AGU Advances 2: e2020AV000283. DOI: 10.1029/2020AV000283


Dombrowski, O, H.-J. Hendricks Franssen, C. Brogi and H.R. Bogena (2021): Performance of the ATMOS41 all-in-one weather station for weather monitoring. Sensors 21: 741. DOI: 10.3390/s21030741


Döpper, V.U., A.D. Rocha, T. Gränzig, B. Kleinschmit and M. Förster (2021): Using radiative transfer models for mapping soil moisture content under grassland with UAS-borne hyperspectral data. In: Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII (Vol. 11856, pp. 208-214), SPIE. DOI: 10.1117/12.2600296


Dorigo, W., I. Himmelbauer, D. Aberer, L. Schremmer, I. Petrakovic, L. Zappa, W. Preimesberger, A. Xaver, F. Annor, J. Ardö, D. Baldocchi, M. Bitelli, G. Blöschl, H. Bogena, … and R. Sabia (2021): The International Soil Moisture Network: Serving Earth system science for over a decade. Hydrol. Earth Syst. Sci. 25: 5749–5804. DOI: 10.5194/hess-25-5749-2021


Djukic I., S. Kepfer-Rojas, I.K. Schmidt, K.S. Larsen, C. Beier, B. Berg, ... and H. Shibata (2021): The TeaComposition Initiative: unleashing the power of international collaboration to understand litter decomposition. Soil Organisms 93(1): 73-78. DOI: 10.25674/so93iss1pp73


Ebeling, P., R. Dupas, B. Abbott, R. Kumar, S. Ehrhardt, J.H. Fleckenstein and A. Musolff (2021): Long‐Term Nitrate Trajectories Vary by Season in Western European Catchments. Global Biogeochemical Cycles 35(9): e2021GB007050.


Ebeling, P., R. Kumar, M. Weber, L. Knoll, J.H. Fleckenstein and A. Musolff (2021): Archetypes and Controls of Riverine Nutrient Export across German Catchments. Water Resources Research 57(4): e2020WR028134. DOI: 10.1029/2020WR028134


Ehrhardt, A., J. Groh and H.H. Gerke (2021): Wavelet analysis of soil water state variables for identification of lateral subsurface flow: Lysimeter vs. field data. Vadose Zone Journal 20(3): e20129.


Eshel, A., H. Messer, H. Kunstmann, P. Alpert and C. Chwala (2021): Quantitative Analysis of the Performance of Spatial Interpolation Methods for Rainfall Estimation Using Commercial Microwave Links. J. Hydrometeor. 22(4): 831-843. DOI: 10.1175/JHM-D-20-0164.1


Garcia-Franco, N., R. Walter, M. Wiesmeier, L.C.C. Hurtarte, B.J. Berauer, V. Buness, M. Zistl-Schlingmann, R. Kiese, M. Dannenmann and I. Kögel-Knabner (2021): Biotic and abiotic controls on carbon storage in aggregates in calcareous alpine and prealpine grassland soils. Biology and Fertility of Soils 57(2): 203-218. . DOI: 10.1007/s00374-020-01518-0


George, J. P., W. Yang, H. Kobayashi, T, Biermann, A. Carrara, E. Cremonese, ... and J. Pisek (2021): Method comparison of indirect assessments of understory leaf area index (LAIu): A case study across the extended network of ICOS forest ecosystem sites in Europe. Ecological Indicators 128: 107841.


Giraud, M., J. Groh, H.H. Gerke, N. Brüggemann, H. Vereecken and T. Pütz (2021): Soil Nitrogen Dynamics in a Managed Temperate Grassland Under Changed Climatic Conditions. Water 13(7): 931. DOI: 10.3390/w13070931


Golizadeh, A., C. Neumann, S. Chabrillat, B. van Wesemael, F. Castaldi, L. Borůvka, J. Sanderman, A. Klement and C. Hohmann (2021): Soil organic carbon estimation using VNIR–SWIR spectroscopy: The effect of multiple sensors and scanning conditions. Soil and Tillage Research 211: 105017. DOI: 10.1016/j.still.2021.105017


Golub, M., A.R. Desai, T. Vesala, I. Mammarella, A. Ojala, G. Bohrer, ... and W. Xiao (2021): New insights into diel to interannual variation in carbon dioxide emissions from lakes and reservoirs. Earth and Space Science Open Archive ESSOAr. DOI: 10.1002/essoar.10507313.1


Graeber, D., Y Tenzin, M. Stutter, G. Weigelhofer, T. Shatwell, W. von Tümpling, J. Tittel, A. Wachtholz and D. Borchardt (2021): Bioavailable DOC: Reactive nutrient ratios control heterotrophic nutrient assimilation—An experimental proof of the macronutrient-access hypothesis. Biogeochemistry 155: 1-20. DOI: 10.1007/s10533-021-00809-4


Graf, M., A. El Hachem, M. Eisele, J. Seidl, C. Chwala, H. Kunstmann and A. Bárdossy (2021): Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales. J. Hydrol.: Regional Studies 37: 100883. DOI: 10.1016/j.ejrh.2021.100883


Graf, M., J. Arnault, B. Fersch and H. Kunstmann (2021): Is the soil moisture precipitation feedback enhanced by heterogeneity and dry soils? A comparative study. Hydrological Processes 35(9): e14332. DOI: 10.1002/hyp.14332


Greifeneder, F., C. Notarnicola and W. Wagner (2021): A Machine Learning-Based Approach for Surface Soil Moisture Estimations with Google Earth Engine. Remote Sensing 13(11): 2099. DOI: 10.3390/rs13112099


Guevara, M. and M. Taufer and R. Vargas (2021): Gap-free global annual soil moisture: 15 km grids for 1991--2018. Earth System Science Data 13(4): 1711--1735. 10.5194/essd-13-1711-2021


Guglielmo, M., F. Tang, C. Pasut and F. Maggi (2021): SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014. Scientific Data 8. DOI: 10.1038/s41597-021-01032-4


Halbach, K., M. Möder, S. Schrader, L. Liebmann, R.B. Schäfer, A. Schneeweiss, ... and T. Reemtsma (2021): Small streams–large concentrations? Pesticide monitoring in small agricultural streams in Germany during dry weather and rainfall. Water Research 203: 117535. DOI: 10.1016/j.watres.2021.117535


Harfenmeister, K., S. Itzerott, C. Weltzien and D. Spengler (2021): Agricultural Monitoring Using Polarimetric Decomposition Parameters of Sentinel-1 Data. Remote Sensing 13(4): 575. DOI: 10.3390/rs13040575


Harfenmeister, K., S. Itzerott, C. Weltzien and D. Spengler (2021): Detecting Phenological Development of Winter Wheat and Winter Barley Using Time Series of Sentinel-1 and Sentinel-2. Remote Sensing 13(24): 5036.


Helbig, M., T. Gerken, E.R. Beamesderfer, D.D. Baldocchi, T. Banerjee, S.C. Biraud, ... and A.D. Richardson (2021): Integrating continuous atmospheric boundary layer and tower-based flux measurements to advance understanding of land-atmosphere interactions. Agricultural and Forest Meteorology 307: 108509. DOI: 10.1016/j.agrformet.2021.108509


Helle G., D. Balanzategui, M. Pauly, I. Heinrich and K. Schollän (2021): Stable isotope signatures of wood, its constituents and methods of cellulose extraction. In: Siegwolf R. et al. eds. Stable Isotopes in Tree Rings: Inferring Physiological, Climatic and Environmental Responses. Zürich: Springer Nature.


Herbst, M., P. Pohlig, A. Graf, L. Weihermüller, M. Schmidt, J. Vanderborght and H. Vereecken (2021): Quantification of water stress induced within-field variability of carbon dioxide fluxes in a sugar beet stand. Agricultural and Forest Meteorology 297: 108242. DOI:10.1016/j.agrformet.2020.108242


Hermanns, F., F. Pohl, C. Rebmann, G. Schulz, U. Werban and A. Lausch (2021): Inferring Grassland Drought Stress with Unsupervised Learning from Airborne Hyperspectral VNIR Imagery. Remote Sensing 13(10): 1885.


Holtmann, A., A. Huth, F. Pohl, C. Rebmann and R. Fischer (2021): Carbon Sequestration in Mixed Deciduous Forests: The Influence of Tree Size and Species Composition Derived from Model Experiments. Forests 12(6): 726. DOI: 10.3390/f12060726


Hongliang, M., J. Zeng, X. Zhang, P. Fu, D. Zheng, J.-P. Wigneron, N. Chen and D. Niyogi (2021): Evaluation of six satellite- and model-based surface soil temperature datasets using global ground-based observations. Remote Sensing of Environment 264: 112605. DOI: 10.1016/j.rse.2021.112605


Hosseini, M., H. McNairn, S. Mitchell, L.D. Robertson, A. Davidson, N. Ahmadian, … and I. Becker-Reshef (2021): A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index. Remote Sensing 13(7): 1348. DOI: 10.3390/rs13071348


Hrachowitz, M., M. Stockinger, M. Coenders-Gerrits, R. van der Ent, H. Bogena, A. Lücke and C. Stumpp (2021): Deforestation reduces the vegetation-accessible water storage in the unsaturated soil and affects catchment travel time distributions and young water fractions. Hydrol. Earth Syst. Sci. 25: 4887–4915. DOI: 10.5194/hess-25-4887-2021


Irvin, J., S. Zhou, G. McNicol, F. Lu, V. Liu, E. Fluet-Chouinard, ... and R.B. Jackson (2021): Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands. Agricultural and Forest Meteorology 308: 108528. DOI: 10.1016/j.agrformet.2021.108528


Jakobi, J., J.A. Huisman and H. Bogena (2021): Comment on Dong and Ochsner (2018): Soil Texture often exerts stronger Influence than Precipitation on Mesoscale Soil Moisture Patterns. Water Resour. Res. 57: e2020WR027790. DOI:10.1029/2020WR027790


Johnston, A.S., A. Meade, J. Ardö, N. Arriga, A. Black, P.D. Blanken, ... and C. Venditti (2021): Temperature thresholds of ecosystem respiration at a global scale. Nature Ecology & Evolution 5(4): 487-494. DOI: 10.1038/s41559-021-01398-z


Kang, J., R. Jin, X. Li and Y. Zhang (2021): Mapping High Spatiotemporal-Resolution Soil Moisture by Upscaling Sparse Ground-Based Observations Using a Bayesian Linear Regression Method for Comparison with Microwave Remotely Sensed Soil Moisture Products. Remote Sensing 13(2): 228.


Klein, M., J. Garvelmann and K. Förster, K. (2021): Revisiting Forest Effects on Winter Air Temperature and Wind Speed—New Open Data and Transfer Functions. Atmosphere 12(6): 710. DOI: 10.3390/atmos12060710


Knox, S.H., S. Bansal, G. McNicol, K. Schafer, C. Sturtevant, M. Ueyama, ... and R.B. Jackson (2021): Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales. Global Change Biology 27(15): 3582-3604. DOI: 10.1111/gcb.15661


Köhli, M., J. Weimar, M. Schrön, R. Baatz and U. Schmidt (2021): Soil Moisture and Air Humidity Dependence of the Above-Ground Cosmic-Ray Neutron Intensity. Frontiers in Water 2(66). DOI: 10.3389/frwa.2020.544847


Kong, X., M. Seewald, T. Dadi, K. Friese, C. Mi, B. Boehrer, ... and T. Shatwell (2021): Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling. Water Research 190: 116681.


Kramm, T. and D. Hoffmeister (2021): Comprehensive vertical accuracy analysis of freely available DEMs for different landscape types of the Rur catchment, Germany. Geocarto International: 1-22. DOI: 10.1080/10106049.2021.1984588


Künzel, A.C., S. Münzel, F. Böttcher and D. Spengler (2021): Analysis of Weather-Related Growth Differences in Winter Wheat in a Three-Year Field Trial in North-East Germany. Agronomy Journal 11(9): 1854. DOI: 10.3390/agronomy11091854


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Blöschl, G. M., F.P. Bierkens, A. Chambel, C. Cudennec, G. Destouni, A. Fiori … and Y. Zhang (2019): Twenty-three unsolved problems in hydrology (UPH) – a community perspective. Hydrological Sciences Journal 64(10): 1141-1158, doi:10.1080/02626667.2019.1620507.

 

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Brogi, C., J.A. Huisman, S. Pätzold, C. von Hebel, L. Weihermüller, M.S. Kaufmann, J. van der Kruk and H. Vereecken (2019): Large-scale soil mapping using multi-configuration EMI and supervised image classification. Geoderma 335: 133-148.

 

Brunetti, G, J. Šimůnek, H. Bogena, R. Baatz, J.A. Huisman, H. Dahlke and H. Vereecken (2019): On the information content of cosmic-ray neutrons in Bayesian optimization of soil hydraulic properties. Vadose Zone J. 18(1), doi:10.2136/vzj2018.06.0123.

 

Castaldi, F., A. Hueni, S. Chabrillat, K. Ward, G. Buttafuoco, B. Bomans, ... and B. van Wesemael (2019): Evaluating the capability of the Sentinel 2 data for soil organic carbon prediction in croplands. ISPRS journal of photogrammetry and remote sensing 147: 267-282.

 

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Dias Neto, J., S. Kneifel, D. Ori, S. Trömel, J. Handwerker, B. Bohn, N. Hermes, K. Mühlbauer, M. Lenefer and C. Simmer (2019): The TRIple-frequency and Polarimetric radar Experiment for improving process observations of winter precipitation. Earth System Science Data 11(2): 845-863.

 

Dräger, N., B. Plessen, U. Kienel, M. Słowiński, A. Ramisch, R. Tjallingii and A. Brauer (2019): Hypolimnetic oxygen conditions influence varve preservation and δ 13 C of sediment organic matter in Lake Tiefer See, NE Germany. Journal of Paleolimnology 62(2): 181-194.

 

Ehrhardt, S., R. Kumar, J.H. Fleckenstein, S. Attinger, and A. Musolff (2019). Decadal trajectories of nitrate input and output in three nested catchments along a land use gradient. Hydrol. Earth Syst. Sci., doi:10.5194/hess-2018-475

 

Eshonkulov, R., A. Poyda, J. Ingwersen, H.D. Wizemann, T.K. Weber, P. Kremer and T. Streck (2019): Evaluating multi-year, multi-site data on the energy balance closure of eddy-covariance flux measurements at cropland sites in southwestern Germany. Biogeosciences 16(2): 521-540.

 

Graeber, D., B. Gücker, R. Wild, N.S. Wells, C. Anlanger, N. Kamjunke, H. Norf, C. Schmidt and M. Brauns (2019): Biofilm-specific uptake does not explain differences in whole-stream DOC tracer uptake between a forest and an agricultural stream. Biogeochemistry 144(1): 85-101.

 

Groh, J., T. Pütz, H.H. Gerke, J. Vanderborght and H. Vereecken (2019): Quantification and prediction of nighttime evapotranspiration for two distinct grassland ecosystems. Water Resour. Res. 55(4): 2961-2975.

 

Hardy, R.A., J.N. Quinton, M.R. James, P. Fiener and J.M. Pates (2019): High precision tracing of soil and sediment movement using fluorescent tracers at hillslope scale. Earth Surface Processes and Landforms 44(5): 1091-1099.

 

Hardy, R.A., J.N. Quinton, M.R. James, P. Fiener and J.M. Pates (2019): High precision tracing of soil and sediment movement using fluorescent tracers at hillslope scale. Earth Surface Processes and Landforms 44(5): 1091-1099.

 

Harfenmeister, K., D. Spengler and C. Weltzien (2019): Analyzing Temporal and Spatial Characteristics of Crop Parameters Using Sentinel-1 Backscatter Data. Remote Sensing 11(13): 1569.

 

Heinrich, I., D. Balanzategui, O. Bens, T. Blume, A. Brauer, E. Dietze, ... and C. Wille (2019): Regionale Auswirkungen des Globalen Wandels: Der Extremsommer 2018 in Nordostdeutschland. System Erde 9(1): 38-47.

 

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Hobley, E.U. and I. Prater (2019): Estimating soil texture from vis–NIR spectra. European Journal of Soil Science 70(1): 83-95.

 

Hongtao, J., S. Huanfeng, L. Xinghua, Z. Chao, L. Huiqin and L. Fangni (2019): Extending the SMAP 9-km soil moisture product using a spatio-temporal fusion model. Remote Sensing of Environment 231: 111224.

 

Ibraim, E., B. Wolf, E. Harris, R. Gasche, J. Jwei, L. Yu, R. Kiese, S. Eggleston, K. Butterbach-Bahl, M. Zeeman, B. Tuzson, L. Emmenegger, J. Six, S. Henne and J. Mohn (2019): Attribution of N2O sources in a grassland soil with laser spectroscopy based isotopocule analysis. Biogeosciences 16: 3247–3266, doi.org/10.5194/bg-16-3247-2019.

 

Jiang, S.Y., Q. Zhang, A.D. Werner, C. Wellen, S. Jomaa, Q.D. Zhu and M. Rode (2019): Effects of stream nitrate data frequency on watershed model performance and prediction uncertainty. J. Hydrology 569: 22-36.

 

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Kamjunke, N., N. Hertkorn, M. Harir, P. Schmitt-Kopplin, C. Griebler, M. Brauns, W.  von Tümpling, M. Weitere, and P. Herzsprung (2019): Molecular change of dissolved organic matter and patterns of bacterial activity in a stream along a land-use gradient. Water Res. 164 , art. 114919

 

Kappler, C., K. Kaiser, M. Küster, A. Nicolay, A. Fülling, O. Bens and T. Raab (2019): Late Pleistocene and Holocene terrestrial geomorphodynamics and soil formation in northeastern Germany: A review of geochronological data. Physical Geography, 1-28, doi:10.1080/02723646.2019.1573621.

 

Karrasch, B., O. Horovitz, H. Norf, N. Hillel, O. Hadas, Y. Beeri-Shlevin and J.B. Laronne (2019): Quantitative ecotoxicological impacts of sewage treatment plant effluents on plankton productivity and assimilative capacity of rivers. Environmental Science and Pollution Research 1-16, doi:10.1007/s11356-019-04940-6.

 

Kaufmann, M.S., C. von Hebel, L. Weihermüller, M. Baumecker, T. Döring, K. Schweitzer, E. Hobley, S.L. Bauke, W. Amelung, H. Vereecken and J. van der Kruk (2019): Effect of fertilizers and irrigation on multi‐configuration electromagnetic induction measurements. Soil Use and Management, doi:10.1111/sum.12530.

 

Kiesel, J., A. Gericke, H. Rathjens, A. Wetzig, K. Kakouei, S.C. Jähnig and N. Fohrer (2019): Climate change impacts on ecologically relevant hydrological indicators in three catchments in three European ecoregions. Ecological engineering 127: 404-416.

 

Klosterhalfen, A., A. Graf, N. Brüggemann, C. Drüe, O. Esser, M.P. González-Dugo and P. Ney (2019): Source partitioning of H2O and CO2 fluxes based on high-frequency eddy covariance data: a comparison between study sites. Biogeosciences 16(6): 1111-1132.

 

Klosterhalfen, A., A.F. Moene, M. Schmidt, T.M. Scanlon, H. Vereecken and A. Graf (2019): Sensitivity Analysis of a source partitioning method for H2O and CO2 fluxes based on high frequency eddy covariance data: findings from field data and large eddy simulations. Agricultural and Forest Meteorology 265: 152-170.

 

Koebsch, F., M. Winkel, S. Liebner, B. Liu, J. Westphal, I. Schmiedinger, A. Spitzy, M. Gehre, G. Jurasinski, S. Köhler, V. Unger, M. Koch, T. Sachs and M.E. Böttcher (2019): Sulfate deprivation triggers high methane production in a disturbed and rewetted coastal peatland. Biogeosciences 16(9): 1937-1953.

 

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Kühnel, A., N. Garcia-Franco, M. Wiesmeier, J. Burmeister, E. Hobley, R. Kiese, M. Dannemann and I. Kögel-Knabner (2019): Controlling factors of carbon dynamics in grassland soils of Bavaria between 1989. Agriculture, Ecosystems & Environment: 280: 118-128.

 

Kunz, M., J.V. Lavric, R. Gasche, C. Gerbig, R.H. Grant, F.-T. Koch, M. Schumacher, B. Wolf and M. Zeeman (2019): Surface flux estimates derived from UAS-based mole fraction measurements by means of a nocturnal boundary layer budget approach. Atmospheric Measurement Techniques Discussions. doi.org/10.5194/amt-2019-221.

 

Li, J., W. Ju, W. He, H. Wang, Y. Zhou and M. Xu (2019): An Algorithm Differentiating Sunlit and Shaded Leaves for Improving Canopy Conductance and Evapotranspiration Estimates. JGR Biogeosciences 124(4): 807-824.

 

Li, X., H. Vereecken and C. Ma (2019): Observing Ecohydrological Processes: Challenges and Perspectives. Observation and Measurement of Ecohydrological Processes, 1-27.

 

Liu, S., M. Schloter, R. Hu, H. Vereecken and N. Brüggemann (2019): Hydroxylamine contributes more to abiotic N2O production in soils than nitrite. Frontiers in Environmental Science 7: 47.

 

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Morandage, S., A. Schnepf, D. Leitner, M. Javaux, H. Vereecken and J. Vanderborght (2019): Parameter sensitivity analysis of a root system architecture model based on virtual field sampling. Plant and Soil, 1-26.

 

Ney, P., A. Graf, H. Bogena, B. Diekkrüger, C. Drüe, O. Esser, G. Heinemann, A. Klosterhalfen, K. Pick, T. Pütz, M. Schmidt, V. Valler and H. Vereecken (2019): CO2 Fluxes Before and After Partially Deforestation of a Central European Spruce Forest. Agricultural and Forest Meteorology 274: 61-74.

 

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Rodionov, A., E. Lehndorff, C.C. Stremtan, W.A. Brand, H.P. Königshoven and W. Amelung (2019): Spatial Microanalysis of Natural 13C/12C Abundance in Environmental Samples Using Laser Ablation-Isotope Ratio Mass Spectrometry. Analytical chemistry 91(9): 6225-6232.

 

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Rummler, T., J. Arnault, D. Gochis and H. Kunstmann (2019): Role of lateral terrestrial water flow on the regional water cycle in a complex terrain region: Investigation with a fully coupled model system. JGR Atmospheres 124(2): 507-529.

 

Scharnweber, T., K.-U. Heußner, M. Smiljanic, I. Heinrich, M. van der Maaten-Theunissen, E. van der Maaten, T. Struwe, A. Buras and M. Wilmking (2019): Removing the no-analogue bias in modern accelerated tree growth leads to stronger medieval drought. Scientific Reports, 9.

 

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Smiatek, G. and H. Kunstmann (2019): Simulating future runoff in a complex terrain Alpine catchment with EURO-CORDEX data. J. Hydrometeorol.

 

Soltani, M., P. Laux, M. Mauder and H. Kunstmann (2019): Inverse distributed modelling of streamflow and turbulent fluxes: A sensitivity and uncertainty analysis coupled with automatic optimization. J. Hydrol. 571: 856-872.

 

Stockinger, M.P., H.R. Bogena, A. Lücke, C. Stumpp and Vereecken H. (2019): Time-variability of the fraction of young water in a small headwater catchment. Hydrol. Earth Syst. Sci. Diss.

 

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Tan, X., A. Mester, C. von Hebel, E. Zimmermann, H. Vereecken, S. van Waasen and J. van der Kruk (2019): Simultaneous calibration and inversion algorithm for multiconfiguration electromagnetic induction data acquired at multiple elevations. Calibration inversion for rigid-boom EMI. Geophysics 84(1): EN1-EN14.

 

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