| Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model MC Demirel, J Mai, G Mendiguren, J Koch, L Samaniego, S Stisen Hydrology and Earth System Sciences 22 (2), 1299-1315, 2018 | 173 | 2018 |
| Estimating Net Irrigation Across the North China Plain Through Dual Modeling of Evapotranspiration J Koch, W Zhang, G Martinsen, X He, S Stisen Water Resources Research 56 (12), e2020WR027413, 2020 | 137 | 2020 |
| The SPAtial EFficiency metric (SPAEF): multiple-component evaluation of spatial patterns for optimization of hydrological models J Koch, MC Demirel, S Stisen Geoscientific Model Development 11 (5), 1873-1886, 2018 | 137 | 2018 |
| Transition probability‐based stochastic geological modeling using airborne geophysical data and borehole data X He, J Koch, TO Sonnenborg, F Jørgensen, C Schamper, JC Refsgaard Water Resources Research 50 (4), 3147-3169, 2014 | 115 | 2014 |
| Nitrate reduction in geologically heterogeneous catchments—A framework for assessing the scale of predictive capability of hydrological models JC Refsgaard, E Auken, CA Bamberg, BSB Christensen, T Clausen, ... Science of the Total Environment 468, 1278-1288, 2014 | 99 | 2014 |
| Inter-comparison of three distributed hydrological models with respect to seasonal variability of soil moisture patterns at a small forested catchment J Koch, T Cornelissen, Z Fang, H Bogena, B Diekkrüger, S Kollet, S Stisen Journal of hydrology 533, 234-249, 2016 | 90 | 2016 |
| Modelling of the shallow water table at high spatial resolution using random forests J Koch, H Berger, HJ Henriksen, TO Sonnenborg Hydrology and Earth System Sciences 23 (11), 4603-4619, 2019 | 80 | 2019 |
| Toward a true spatial model evaluation in distributed hydrological modeling: Kappa statistics, Fuzzy theory, and EOF‐analysis benchmarked by the human perception and evaluated … J Koch, KH Jensen, S Stisen Water Resources Research 51 (2), 1225-1246, 2015 | 68 | 2015 |
| Modeling Depth of the Redox Interface at High Resolution at National Scale Using Random Forest and Residual Gaussian Simulation J Koch, S Stisen, JC Refsgaard, V Ernstsen, PR Jakobsen, AL Højberg Water Resources Research 55 (2), 1451-1469, 2019 | 65 | 2019 |
| Spatio-temporal validation of long-term 3D hydrological simulations of a forested catchment using empirical orthogonal functions and wavelet coherence analysis Z Fang, H Bogena, S Kollet, J Koch, H Vereecken Journal of hydrology 529, 1754-1767, 2015 | 62 | 2015 |
| Moving beyond run‐off calibration—Multivariable optimization of a surface–subsurface–atmosphere model S Stisen, J Koch, TO Sonnenborg, JC Refsgaard, S Bircher, R Ringgaard, ... Hydrological Processes 32 (17), 2654-2668, 2018 | 60 | 2018 |
| Spatial validation of large‐scale land surface models against monthly land surface temperature patterns using innovative performance metrics J Koch, A Siemann, S Stisen, J Sheffield Journal of Geophysical Research: Atmospheres 121 (10), 5430-5452, 2016 | 58 | 2016 |
| Challenges in conditioning a stochastic geological model of a heterogeneous glacial aquifer to a comprehensive soft data set J Koch, X He, KH Jensen, JC Refsgaard Hydrology and Earth System Sciences 18 (8), 2907-2923, 2014 | 57 | 2014 |
| Spatial pattern evaluation of a calibrated national hydrological model–a remote-sensing-based diagnostic approach G Mendiguren, J Koch, S Stisen Hydrology and Earth System Sciences 21 (12), 5987, 2017 | 42 | 2017 |
| A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin) HJ Henriksen, R Schneider, J Koch, M Ondracek, L Troldborg, ... Water 15 (1), 25, 2022 | 41 | 2022 |
| Developing a pan-European high-resolution groundwater recharge map–Combining satellite data and national survey data using machine learning G Martinsen, H Bessiere, Y Caballero, J Koch, AJ Collados-Lara, ... Science of the Total Environment 822, 153464, 2022 | 41 | 2022 |
| High resolution water table modeling of the shallow groundwater using a knowledge-guided gradient boosting decision tree model J Koch, J Gotfredsen, R Schneider, L Troldborg, S Stisen, HJ Henriksen Frontiers in Water 3, 701726, 2021 | 41 | 2021 |
| Spatial Sensitivity Analysis of Simulated Land Surface Patterns in a Catchment Model Using a Set of Innovative Spatial Performance Metrics J Koch, G Mendiguren, G Mariethoz, S Stisen Journal of Hydrometeorology 18 (4), 1121-1142, 2017 | 33 | 2017 |
| Hydrological process knowledge in catchment modelling–Lessons and perspectives from 60 years development JC Refsgaard, S Stisen, J Koch Hydrological Processes 36 (1), e14463, 2022 | 32 | 2022 |
| Calibration of a parsimonious distributed ecohydrological daily model in a data-scarce basin by exclusively using the spatio-temporal variation of NDVI G Ruiz-Pérez, J Koch, S Manfreda, K Caylor, F Francés Hydrology and Earth System Sciences 21 (12), 6235-6251, 2017 | 31 | 2017 |
Simon StisenProfessor, Geological Survey of Denmark and Greenland確認したメール アドレス: geus.dk