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References

2020

Batelis, S.C., Rahman, M., Kollet, S. et al. (2020), Towards the representation of groundwater in the Joint UK Land Environment Simulator, Hydrological Processes, Volume 34, Issue 13, 2843-2863, doi: 10.1002/hyp.13767

Boas, T., Bogena, H., Grünwald, T., Heinesch, B., Ryu, D., Schmidt, M., Vereecken, H., Western, A., and Hendricks-Franssen, H.-J.(2020), Improving the representation of cropland sites in the Community Land Model (CLM) version 5.0, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2020-241

Coppola, E., Sobolowski, S., Pichelli, E. et al. (2020), A first-of-its-kind multi-model convection permitting ensemble for investigating convective phenomena over Europe and the Mediterranean. Clim Dyn 55, 3–34, https://doi.org/10.1007/s00382-018-4521-8

Degen, D., Veroy, K. and Wellmann, F. (2020), Certified reduced basis method in geosciences, Computational Geosciences, 24(1), 241-259, https://doi.org/10.1007/s10596-019-09916-6

Degen, D., Veroy, K., Freymark, J., Scheck-Wenderoth, M. and Wellmann, F. (2020), Global Sensitivity Analysis to Optimize Basin-scale Conductive Model Calibration-Insights on the Upper Rhine Graben, https://eartharxiv.org/repository/view/341/

Degen, D., Veroy, K. and Wellmann, F. (2020), Uncertainty Quantification for Basin-Scale Conductive Models. Earth and Space Science Open Archive ESSOAr, https://search.proquest.com/docview/2451141733?pq-origsite=gscholar&fromopenview=true

Degen, D. and Cacace, M.(2020), Effects of Transient Processes for Thermal Simulations of the Central European Basin, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2020-204, in review

Eltahan, M., Alahmadi, S., Moharm, K., Magooda, M. et al. (2020), Ten ensembles with hourly high spatial resolution datasets for severe precipitation events in Egypt. Data in Brief, Volume 31,105987, https://doi.org/10.1016/j.dib.2020.105987

Jacob, D., Teichmann, C., Sobolowski, S. et al. (2020), Regional climate downscaling over Europe: perspectives from the EURO-CORDEX community. Reg Environ Change 20, 51, https://doi.org/10.1007/s10113-020-01606-9

Klos, A., Karegar, M.A., Kusche, J., Springer, A. (2020), Quantifying Noise in Daily GPS Height Time Series: Harmonic Function Versus GRACE-Assimilating Modeling Approaches, IEEE Geoscience and Remote Sensing Letters, doi.10.1109/LGRS.2020.2983045

Knist, S., Goergen, K. and Simmer, C. (2020), Evaluation and projected changes of precipitation statistics in convection-permitting WRF climate simulations over Central Europe. Clim Dyn 55, 325–341, https://doi.org/10.1007/s00382-018-4147-x

Knist, S., Goergen, K. and Simmer, C. (2020), Effects of land surface inhomogeneity on convection-permitting WRF simulations over central Europe, Meteorology and Atmospheric Physics, 132, 1, 53–69, https://doi.org/10.1007/s00703-019-00671-y

Kuffour, B.N.O., Engdahl, N.B., Woodward, C.S., Condon, L.E., Kollet, S. and Maxwell, R.M. (2020), Simulating coupled surface-subsurface flows with ParFlow v3.5.0: capabilities, applications, and ongoing development of an open-source, massively parallel, integrated hydrologic model, Geosci. Model Dev., 13, 1373–1397, https://doi.org/10.5194/gmd-13-1373-2020

Naz, B.S., Kollet, S., Hendricks-Franssen, H.J., Montzka, C. and Kurtz, W. (2020), A 3 km spatially and temporally consistent European daily soil moisture reanalysis from 2000 to 2015, Sci Data 7, 111, https://doi.org/10.1038/s41597-020-0450-6

Trevisan, A., Venema, V., Kollet, S. and Rahman, M. (2020), The topographic control on land surface energy fluxes: A statistical approach to bias correction, Journal of Hydrology, Volume 584, 124669, https://doi.org/10.1016/j.jhydrol.2020.124669

Shrestha, P. and Simmer, C. (2020), Modeled Land Atmosphere Coupling Response to Soil Moisture Changes with Different Generations of Land Surface Models, Water, 12 (1), 46, https://doi.org/10.3390/w12010046

2019

Baroni, G., Schalge, B., Rakovec, O., Kumar, R., Schuler, L., Samaniego, L., Simmer, C. and Attinger, S. (2019), A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies, Water Resources Research, 55 (2), 990-1010, https://doi.org/10.1029/2018WR023941

Eltahan, M. and Alahmadi, S. (2019), Numerical Dust Storm Simulation Using Modified Geographical Domain and Data Assimilation: 3DVAR and 4DVAR (WRF-Chem/WRFDA), IEEE Access, 7, 128980-128989, doi: 10.1109/ACCESS.2019.2930812.

Furusho-Percot, C., Goergen, K., Hartick, C. et al. (2019), Pan-European groundwater to atmosphere terrestrial systems climatology from a physically consistent simulation, Sci Data 6, 320, https://doi.org/10.1038/s41597-019-0328-7

Gebler, S., Kurtz, W., Pauwels V.N.R., Kollet S.J., Vereecken H. and Hendricks Franssen, H.J. (2019), Assimilation of high resolution soil moisture data into an integrated terrestrial model for a small-scale head-water catchment, Water Resources Research, 55, 10358-10385, https://doi.org/10.1029/2018WR024658

Han, CB., Brdar, S. and Kollet, S. (2019), Response of Convective Boundary Layer and Shallow Cumulus to Soil Moisture Heterogeneity: A Large-Eddy Simulation Study, Journal Of Advances In Modeling Earth Systems, 11 (12), 4305-4322, doi: 10.102 /2019MS001772

Han, C.B., Brdar, S., Raasch, S. and Kollet, S. (2019), Large-eddy simulation of catchment-scale circulation, Q J R Meteorol Soc., 145, 1218– 1233, https://doi.org/10.1002/qj.3491

Junk, J., Goergen, K. and Krein, A. (2019), Future Heat Waves in Different European Capitals Based on Climate Change Indicators, Int J Environ Res Public Health, 16(20), 3959, doi: 10.3390/ijerph16203959

Keune, J. Sulis, M. and Kollet, S.(2019), Potential Added Value of Incorporating Human Water Use on the Simulation of Evapotranspiration and Precipitation in a Continental-Scale Bedrock-to-Atmosphere Modeling System: A Validation Study Considering Observational Uncertainty, Journal of Advances in Modeling Earth Systems, 11 (7), 1959-1980, https://doi.org/10.1029/2019MS001657

Klotzsche, A., Vereecken, H. and van der Kruk, J. (2019), Review of crosshole ground-penetrating radar full-waveform inversion of experimental data: Recent developments, challenges, and pitfalls, Geophysics, 84 (6), H13-H28, doi: 10.1190/GEO2018-0597.1

Klotzsche, A., Vereecken, H. and van der Kruk, J. (2019), GPR full-waveform inversion of a variably saturated soil-aquifer system, Journal of Applied Geophysics,17, 103823, doi: 10.1016/j.jappgeo.2019.103823

Naz, B.S., Kurtz, W., Montzka, C. et al. (2019), Improving soil moisture and runoff simulations at 3 km over Europe using land surface data assimilation, Hydrol. Earth Syst. Sci., 23, 277–301, https://doi.org/10.5194/hess-23-277-2019

Rahman, M., Rosolem, R., Kollet, S.J. and Wagener, T. (2019), Towards a computationally efficient free-surface groundwater flow boundary condition for large-scale hydrological modelling, Advances in Water Resources, 123, 225-233, https://doi.org/10.1016/j.advwatres.2018.11.015.

Soares, P.M.M., Careto, J.A.M., Cardoso, R.M., Goergen, K. and Trigo, R.M.(2019) Land-Atmosphere Coupling Regimes in a Future Climate in Africa: From Model Evaluation to Projections Based on CORDEX-Africa, JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 124 (21), 11118-11142, doi: 10.1029/2018JD029473

Springer, A., Karegar, M.A., Kusche, J. Keune, J., Kurtz, W. and Kollet, S (2019), Evidence of daily hydrological loading in GPS time series over Europe, Journal of Geodesy, 93, 2145–2153, https://doi.org/10.1007/s00190-019-01295-1

Sulis, M., Couvreur, V., Keune, J. et al. (2019), Incorporating a root water uptake model based on the hydraulic architecture approach in terrestrial systems simulations, Agricultural and Forest Meteorology, 269–270, 28-45, https://doi.org/10.1016/j.agrformet.2019.01.034.

Vereecken, H., Weihermuller, L., Assouline, S. et al. (2019), Infiltration from the Pedon to Global Grid Scales: An Overview and Outlook for Land Surface Modeling, Vadose Zone Journal, 18 (1), 1-53, https://doi.org/10.2136/vzj2018.10.0191

Zipper, S.C., Keune, J. and Kollet, S.J. (2019), Land use change impacts on European heat and drought: remote land-atmosphere feedbacks mitigated locally by shallow groundwater, Environmental Research Letters, 14, 4, https://doi.org/10.1088/1748-9326/ab0db3

2018

Liu, T.; Klotzsche, A.; Pondkule, M.; Vereecken, H.; Su, Y. and van der Kruk, J. (2018), Radius estimation of subsurface cylindrical objects from ground-penetrating-radar data using full-waveform inversion, Geophysics, Society of Exploration Geophysicists, 83, H43-H54, doi.org/10.1190/geo2017-0815.1

Kollet, S., F. Gasper, S. Brdar, K. Goergen, H.J. Hendricks Franssen, J. Keune, W. Kurtz, V. Küll, F. Pappenberger, S. Poll, S. Trömel, P. Shrestha, C. Simmer, and M. Sulis (2018), Introduction of an experimental terrestrial forecasting/monitoring system at regional to continental scales based on the Terrestrial Systems Monitoring Platform (v.1.1.0). Water 10(11), 1697, doi.org/10.3390/w10111697

Tang, Q., O.S. Schilling, W. Kurtz, P. Brunner, H. Vereecken, and H.J. Hendricks Franssen (2018), Simulating flood induced riverbed transience using unmanned aerial vehicles, physically-based hydrological modelling and the ensemble Kalman filter. Water Resources Research, 54(11), 9342-9363, doi.org/10.1029/2018WR023067

Chaudhuri, A., H.J. Hendricks Franssen, and M. Sekhar (2018), Iterative filter based estimation of fully 3D heterogeneous fields of permeability and Mualem-van Genuchten parameters. Advances in Water Resources, 122, 340-354, doi.org/10.1016/j.advwatres.2018.10.023

Keller, J., H.J. Hendricks Franssen, and G. Marquart (2018), Comparing seven variants of the Ensemble Kalman Filter: how many synthetic experiments are needed?, Water Resources Research, Volume 54, Issue 9, doi.org/10.1029/2018WR023374

Shrestha, P., W. Kurtz, G. Vogel, J.P. Schulz, M. Sulis, H.J. Hendricks Franssen, S. Kollet, and C. Simmer (2018), Connection between root zone soil moisture and surface energy flux partitioning using modelling, observations, and data assimilation for a temperate grassland site in Germany. Journal of Geophysical Research-Biogeosciences 123, doi.org/10.1029/2016JG003753

Li, D., H.J. Hendricks Franssen, X. Han, M.A. Jimenez-Bello, F. Martinez-Alzamora and H. Vereecken (2018), Evaluation of an operational real-time irrigation scheduling scheme for drip irrigated citrus fields in Picassent, Spain. Agricultural Water management 208, 45-477, doi.org/10.1016/j.agwat.2018.06.022

Post, H., H.J. Hendricks Franssen, X. Han, R. Baatz, C. Montzka, M. Schmidt, and H. Vereecken (2018), Evaluation and uncertainty analysis of regional scale CLM4.5 net carbon flux estimates. Biogeosciences, 15, 187-208, doi.org/10.5194/bg-15-187-2018

Zhang, H., W. Kurtz, S. Kollet, H. Vereecken and H.J. Hendricks Franssen (2018), Comparison of different assimilation methodologies of groundwater levels to improve predictions of root zone soil moisture with an integrated terrestrial systems model. Advances in Water Resources, 111, 224-238, doi.org/10.1016/j.advwatres.2017.11.003

Sharples, W., Zhukov, I., Geimer, M., Goergen, K., Luehrs, S., Breuer, T., Naz, B., Kulkarni, K., Brdar, S., and Kollet, S (2018), A run control framework to streamline profiling, porting, and tuning simulation runs and provenance tracking of geoscientific applications, Geosci. Model Dev., 11, 2875-2895, doi.org/10.5194/gmd-11-2875-2018

2017

Baatz, D., W. Kurtz, H.-J. Hendricks Franssen, H. Vereecken, S. Kollet (2017), Catchment tomography - An approach for spatial parameter estimation, Advances in Water Resour., 107, 147-159, doi:10.1016/j.advwatres.2017.06.006.

Baatz, R., H.-J. Hendricks Franssen, X. J. Han ; T. Hoar, H. Bogena, and H. Vereecken (2017), Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction, Hydrol. Earth Syst. Sci., 21, 2509–2530, doi:10.5194/hess-21-2509-2017.

Fetzer, T., J. Vanderborght, K. Mosthaf, K. M. Smits, and R. Helmig (2017), Heat and water transport in soils and across the soil-atmosphere interface: 2. Numerical analysis, Water Resour. Res., 53, 1080–1100, doi:10.1002/2016WR019983.

Gebler, S., H.-J. Hendricks Franssen, S. J. Kollet, W. Qu, H. Vereecken (2017), High resolution modelling of soil moisture patterns with TerrSysMP: A comparison with sensor network data, J. Hydrol., 547, 309-331, doi:10.1016/j.jhydrol.2017.01.048.

Gueting, N., T. Vienken, A. Klotzsche, J. van der Kruk, J. Vanderborght, J. Caers, H. Vereecken, and A. Englert (2017), High resolution aquifer characterization using crosshole GPR full-waveform tomography: Comparison with direct-push and tracer test data, Water Resour. Res., 53, doi:10.1002/2016WR019498.

Kollet, S., et al. (2017), The integrated hydrologic model intercomparison project, IH-MIP2: A second set of benchmark results to diagnose integrated hydrology and feedbacks, Water Resour. Res., 53, 867–890, doi:10.1002/2016WR019191.

Kurtz, W., A. Lapin, O. S. Schilling, et al. (2017), Integrating hydrological modelling, data assimilation and cloud computing for real-time management of water resources, J Environmental Modelling & Software, 93, 418-435, doi:10.1016/j.envsoft.2017.03.011

Post, H., J. A. Vrugt, A. Fox, H. Vereecken, and H.-J. Hendricks Franssen (2017), Estimation of Community Land Model parameters for an improved assessment of net carbon fluxes at European sites, J. Geophys. Res. Biogeosci., 122, 661–689, doi:10.1002/2015JG003297.

Sulis, M., J. L. Williams, P. Shrestha, et al. (2017), Coupling Groundwater, Vegetation, and Atmospheric Processes: A Comparison of Two Integrated Models, J. Hydrometeorol., 18(5), 1489-1511, doi:org/10.1175/JHM-D-16-0159.1.

Vanderborght, J., T. Fetzer, K. Mosthaf, K. M. Smits, and R. Helmig (2017), Heat and water transport in soils and across the soil-atmosphere interface: 1. Theory and different model concepts, Water Resour. Res., 53, 1057–1079, doi:10.1002/2016WR019982.

Van Looy, K., Bouma, J., Herbst, M., Koestel, J., Minasny, B., Mishra, U., ... Vereecken, H. (2017). Pedotransfer functions in Earth system science: Challenges and perspectives. Reviews of Geophysics, 55, 1199–1256. doi.org/10.1002/2017RG000581

Zhang, H. J., H.-J. Hendricks Franssen, X. J. Han, J. A. Vrugt, H. Vereecken (2017), State and parameter estimation of two land surface models using the ensemble Kalman filter and the particle filter, Hydrol. Earth Syst. Sci., 21(9), 4927-4958, doi:10.5194/hess-21-4927-2017.

2016

Bick, T., et al. (2016), Assimilation of 3D radar reflectivities with an ensemble Kalman filter on the convective scale, Q. J. R. Meteorol. Soc., 142(696), 1490–1504, doi:10.1002/qj.2751.

Burs, D., J. Bruckmann, T. R. Ruede (2016), Developing a structural and conceptual model of a tectonically limited karst aquifer: a hydrogeological study of the Hastenrather Graben near Aachen, Germany, Environ. Earth Sci., 75(18), 1253, doi:10.1007/s12665-016-6039-x.

Eicker, A, E. Forootan, A. Springer, L. Longuevergne, and J. Kusche (2016), Does GRACE see the terrestrial water cycle "intensifying"?, J. Geophys. Res. Atmos., 121(2), 733-745, doi:10.1002/2015JD023808.

Eicker, A., and A. Springer (2016), Monthly and sub-monthly hydrological variability: in-orbit validation by GRACE level 1B observations, J. Geod., 90, 573, doi:10.1007/s00190-016-0895-8.

Fang, Z., H. Bogena, S. J. Kollet, and H. Vereecken (2016), Scale dependent parameterization of soil hydraulic conductivity in 3D simulation of hydrological processes in a forested headwater catchment, J. Hydrol., 536, 365–375, doi:10.1016/j.jhydrol.2016.03.020.

Ferguson, I. M., J. L. Jefferson, R. M. Maxwell, and S. J. Kollet (2016), Effects of root water uptake formulation on simulated water and energy budgets at local and basin scales, Environ. Earth Sci., 75, 316, doi:10.1007/s12665-015-5041-z.

Han, X. J., et al. (2016), Simultaneous soil moisture and properties estimation for a drip irrigated field by assimilating cosmic-ray neutron intensity, J. Hydrol., 539, 611–624, doi:10.1016/j.jhydrol.2016.05.050.

Keune, J., F. Gasper, K. Goergen, A. Hense, P. Shrestha, M. Sulis, and S. J. Kollet (2016), Studying the influence of groundwater representations on land surface-atmosphere feedbacks during the European heat wave in 2003, J. Geophys. Res. Atmos., 121, 13,301–13,325, doi:10.1002/2016JD025426.

Knist, S., et al. (2016), Land-atmosphere coupling in EURO-CORDEX evaluation experiments, J. Geophys. Res. Atmos., 122, doi:10.1002/2016JD025476.

Koch, J., T. Cornelissen, Z. Fang, H. Bogena, B. Diekkrüger, S. J. Kollet, and S. Stisen (2016), Inter-comparison of three distributed hydrological models with respect to seasonal variability of soil moisture patterns at a small forested catchment, J. Hydrol., 533, 234–249, doi:10.1016/j.jhydrol.2015.12.002.

Kollet, S. J. (2016), Technical note: Inference in hydrology from entropy balance considerations, Hydrol. Earth Syst. Sci., 20(7), 2801–2809, doi:10.5194/hess-20-2801-201s6.

Kurtz, W., G. He, S. J. Kollet, R. M. Maxwell, H. Vereecken, and H.-J. Hendricks Franssen (2016), TerrSysMP–PDAF (version 1.0): a modular high-performance data assimilation framework for an integrated land surface–subsurface model, Geosci. Model Dev., 9(4), 1341–1360, doi:10.5194/gmd-9-1341-2016.

Maxwell, R. M., L. E. Condon, S. J. Kollet, K. Maher, R. Haggerty, and M. M. Forrester (2016), The imprint of climate and geology on the residence times of groundwater, Geophys. Res. Lett., 43(2), 701–708, doi:10.1002/2015GL066916.

Rahman, M., M. Sulis, and S. J. Kollet (2016), Evaluating the dual-boundary forcing concept in subsurface-land surface interactions of the hydrological cycle, Hydrol. Process., 30(10), 1563–1573, doi:10.1002/hyp.10702.

Vereecken, H., et al. (2016), Modeling Soil Processes: Review, Key Challenges, and New Perspectives, Vadose Zone J., 15(5), doi:10.2136/vzj2015.09.0131.

2015

Beringer, J., et al. (2015), Fire in Australian savannas: From leaf to landscape, Glob. Chang. Biol., 21(1), 62–81, doi:10.1111/gcb.12686.

Bierkens, M. F. P., V. A. Bell, P. Burek, et al. (2015), Hyper-resolution global hydrological modelling: What is next?: “Everywhere and locally relevant”, Hydrol. Process., 29(2), 310–320, doi: 10.1002/hyp.10391.

Fang, Z., H. Bogena, S. J. Kollet, J. Koch, and H. Vereecken (2015), Spatio-temporal validation of long-term 3D hydrological simulations of a forested catchment using empirical orthogonal functions and wavelet coherence analysis, J. Hydrol., 529, 1754–1767, doi:10.1016/j.jhydrol.2015.08.011.

Gueting, N., A. Klotzsche, J. van der Kruk, J. Vanderborght, H. Vereecken, and A. Englert (2015), Imaging and characterization of facies heterogeneity in an alluvial aquifer using GPR full-waveform inversion and cone penetration tests, J. Hydrol., 524, 680–695, doi:10.1016/j.jhydrol.2015.03.030.

Han, X., J.-H. Hendricks Franssen, R. Rosolem, R. Jin, X. Li, and H. Vereecken (2015), Correction of systematic model forcing bias of CLM using assimilation of cosmic-ray Neutrons and land surface temperature: a study in the Heihe Catchment, China, Hydrol. Earth Syst. Sci., 19(1), 615-629, doi:10.5194/hess-19-615-2015.

Katragkou, E., et al. (2015), Regional climate hindcast simulations within EURO-CORDEX: evaluation of a WRF multi-physics ensemble, Geosci. Model Dev., 8(3), 603–618, doi:10.5194/gmd-8-603-2015.

Maxwell, R. M., L. E. Condon, and S. J. Kollet (2015), A high-resolution simulation of groundwater and surface water over most of the continental US with the integrated hydrologic model ParFlow v3, Geosci. Model Dev., 8(3), 923–937, doi:10.5194/gmd-8-923-2015.

Prein, A. F., et al. (2015), A review on regional convection-permitting climate modeling: Demonstrations, prospects, and challenges., Rev. Geophys., 53(2), 323–361, doi:10.1002/2014RG000475.

Rahman, M., M. Sulis, and S. J. Kollet (2015), The subsurface-land surface-atmosphere connection under convective conditions, Advances in Water Resour., 83, 240-249, doi: 10.1016/j.advwatres.2015.06.003.

Shrestha, P., M. Sulis, C. Simmer, and S. J. Kollet (2015), Impacts of grid resolution on surface energy fluxes simulated with an integrated surface-groundwater flow model, Hydrol. Earth Syst. Sci., 19(10), 4317-4326, doi:10.5194/hess-19-4317-2015.

Simmer, C., et al. (2015), Monitoring and Modeling the Terrestrial System from Pores to Catchments: The Transregional Collaborative Research Center on Patterns in the Soil–Vegetation–Atmosphere System, Bull. Am. Meteorol. Soc., 96(10), 1765–1787, doi:10.1175/BAMS-D-13-00134.1.

Sulis, M., M. Langensiepen, A. Schickling, C. Simmer, and S. J. Kollet (2015), Evaluating the influence of plant-specific physiological parameterizations on the partitioning of land surface energy fluxes, J. Hydrometeorol., 16(2), 517-533, doi:10.1175/JHM-D-14-0153.1.

Tang, Q., W. Kurtz, P. Brunner, H. Vereecke,n and H.-J. Hendricks Franssen (2015), Characterisation of river-aquifer exchange fluxes: The role of spatial patterns of riverbed hydraulic conductivities, J. Hydrol., 531, 111-123, doi:10.1016/j.jhydrol.2015.08.019.

van der Kruk, J., N. Gueting, A. Klotzsche, et al. (2015), Quantitative Multi-Layer Electromagnetic Induction Inversion and Full-Waveform Inversion of Crosshole Ground Penetrating Radar Data, J. Earth Sci., 26(6), 844-850, doi:10.1007/s12583-015-0610-3.

Vereecken, H., J. A. Huisman, H.-J. Hendricks Franssen, N. Brüggemann, H. R. Bogena, S. Kollet, M. Javaux, J. van der Kruk, and J. Vanderborght (2015), Soil hydrology: Recent methodological advances, challenges, and perspectives, Water Resour. Res., 51(4), 2616–2633, doi:10.1002/2014WR016852.

2014

Gasper, F., K. Goergen, P. Shrestha, M. Sulis, J. Rihani, M. Geimer, and S. J. Kollet (2014), Implementation and scaling of the fully coupled Terrestrial Systems Modeling Platform (TerrSysMP v1.0) in a massively parallel supercomputing environment - A case study on JUQUEEN (IBM Blue Gene/Q), Geosci. Model Dev., 7(5), 2531–2543, doi:10.5194/gmd-7-2531-2014.

Klotzsche, A., J. van der Kruk, J. Bradford, and H. Vereecken (2014), Detection of spatially limited high-porosity layers using crosshole GPR signal analysis and full-waveform inversion, Water Resour. Res., 50(8), 6966–6985, doi:10.1002/2013WR015177.

Kotlarski, S., K. Keuler, O. B. Christensen, A. Colette, M. Déqué, A. Gobiet, K. Goergen, D. Jacob, D. Lüthi, E. van Meijgaard, G. Nikulin, C. Schär, C. Teichmann, R. Vautard, K. Warrach-Sagi, and V. Wulfmeyer, (2014), Regional climate modeling on European scales: a joint standard evaluation of the EURO-CORDEX RCM ensemble Geosci. Model Dev., 7(4), 1297–1333, doi:10.5194/gmd-7-1297-2014.

Kurtz, W., H.-J. Hendricks Franssen, H.-P. Kaiser, and H. Vereecken (2014), Joint assimilation of piezometric heads and groundwater temperatures for improved modeling of river-aquifer interactions, Water Resour. Res., 50(2), 1665–1688, doi:10.1002/2013WR014823.

Maxwell, R. M., et al. (2014), Surface-subsurface model intercomparison: A first set of benchmark results to diagnose integrated hydrology and feedbacks, Water Resour. Res., 50(2), 1531–1549, doi:10.1002/2013WR013725.

Rahman, M., M. Sulis, and S. J. Kollet (2014), The concept of dual-boundary forcing in land surface-subsurface interactions of the terrestrial hydrologic and energy cycles, Water Resour. Res., 50(11), 8531-8548, doi:10.1002/2014WR015738,

Schröder, N., N. Lazarovitch, J. Vanderborght, H. Vereecken, and M. Javaux (2014), Linking transpiration reduction to rhizosphere salinity using a 3D coupled soil-plant model, Plant Soil, 377(1-2), 277–293, doi:10.1007/s11104-013-1990-8.

Shrestha, P., M. Sulis, M. Masbou, S. J. Kollet, and C. Simmer (2014), A scale-consistent Terrestrial Systems Modeling Platform based on COSMO, CLM and ParFlow, Mon. Weather Rev., 142(9), 3466–3483, doi:10.1175/MWR-D-14-00029.1.

Springer, A., J. Kusche, K. Hartung, C. Ohlwein, and L. Longuevergne (2014), New Estimates of Variations in Water Flux and Storage over Europe Based on Regional (Re)Analyses and Multisensor Observations, J. Hydrometeorol., 141006071153004, doi: 10.1175/JHM-D-14-0050.1.

von Hebel, C., S. Rudolph, A. Mester, J. A. Huisman, P. Kumbhar, H. Vereecken, and J. van der Kruk (2014), Three-dimensional imaging of subsurface structural patterns using quantitative large-scale multiconfiguration electromagnetic induction data, Water Resour. Res., 50(3), 2732–2748, doi:10.1002/2013WR014864.

2013

Goergen, K., J. Beersma, L. Hoffmann, and J. Junk (2013), ENSEMBLES-based assessment of regional climate effects in Luxembourg and their impact on vegetation, Clim. Change, 119(3-4), 761–773, doi:10.1007/s10584-013-0756-x.

Rötzer, T., Y. Liao, K. Goergen, G. Schüler, and H. Pretzsch (2013), Modelling the impact of climate change on the productivity and water-use efficiency of a central European beech forest, Clim. Res., 58(1), 81–95, doi:10.3354/cr01179.

Vautard, R., et al. (2013), The simulation of European heat waves from an ensemble of regional climate models within the EURO-CORDEX project, Clim. Dyn., 41(9-10), 2555–2575, doi:10.1007/s00382-013-1714-z.


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