| Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities Y Liu, A Weerts, M Clark, HJ Hendricks Franssen, S Kumar, H Moradkhani, ... | 311 | 2012 |
| Modeling soil processes: Review, key challenges, and new perspectives H Vereecken, A Schnepf, JW Hopmans, M Javaux, D Or, T Roose, ... Vadose zone journal 15 (5), 2016 | 282 | 2016 |
| Real‐time groundwater flow modeling with the ensemble Kalman filter: Joint estimation of states and parameters and the filter inbreeding problem HJ Hendricks Franssen, W Kinzelbach Water Resources Research 44 (9), 2008 | 256 | 2008 |
| Hydraulic parameter estimation by remotely-sensed top soil moisture observations with the particle filter C Montzka, H Moradkhani, L Weihermüller, HJH Franssen, M Canty, ... Journal of hydrology 399 (3-4), 410-421, 2011 | 208 | 2011 |
| An approach to handling non-Gaussianity of parameters and state variables in ensemble Kalman filtering H Zhou, JJ Gomez-Hernandez, HJH Franssen, L Li Advances in Water Resources 34 (7), 844-864, 2011 | 200 | 2011 |
| A comparison of seven methods for the inverse modelling of groundwater flow. Application to the characterisation of well catchments HJH Franssen, A Alcolea, M Riva, M Bakr, N Van der Wiel, F Stauffer, ... Advances in Water Resources 32 (6), 851-872, 2009 | 171 | 2009 |
| Parameter estimation by ensemble Kalman filters with transformed data: Approach and application to hydraulic tomography A Schöniger, W Nowak, HJ Hendricks Franssen Water Resources Research 48 (4), 2012 | 163 | 2012 |
| Energy balance closure of eddy-covariance data: A multisite analysis for European FLUXNET stations HJH Franssen, R Stöckli, I Lehner, E Rotenberg, SI Seneviratne Agricultural and Forest Meteorology 150 (12), 1553-1567, 2010 | 161 | 2010 |
| How can remote sensing contribute in groundwater modeling? P Brunner, HJH Franssen, L Kgotlhang, P Bauer-Gottwein, W Kinzelbach Hydrogeology journal 15 (1), 5-18, 2007 | 126 | 2007 |
| SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia H Lievens, SK Tomer, A Al Bitar, GJM De Lannoy, M Drusch, G Dumedah, ... Remote Sensing of Environment 168, 146-162, 2015 | 122 | 2015 |
| Accuracy of the cosmic‐ray soil water content probe in humid forest ecosystems: The worst case scenario HR Bogena, JA Huisman, R Baatz, HJ Hendricks Franssen, H Vereecken Water Resources Research 49 (9), 5778-5791, 2013 | 121 | 2013 |
| Actual evapotranspiration and precipitation measured by lysimeters: a comparison with eddy covariance and tipping bucket S Gebler, HJH Franssen, T Pütz, H Post, M Schmidt, H Vereecken Hydrology and earth system sciences 19 (5), 2145, 2015 | 105 | 2015 |
| Analysis of the impact of climate change on groundwater related hydrological fluxes: a multi-model approach including different downscaling methods S Stoll, HJ Hendricks Franssen, M Butts, WKH Kinzelbach Hydrology and Earth System Sciences 15 (1), 21-38, 2011 | 102 | 2011 |
| Ensemble Kalman filtering versus sequential self-calibration for inverse modelling of dynamic groundwater flow systems HJH Franssen, W Kinzelbach Journal of Hydrology 365 (3-4), 261-274, 2009 | 94 | 2009 |
| Soil hydrology: Recent methodological advances, challenges, and perspectives H Vereecken, JA Huisman, HJ Hendricks Franssen, N Brüggemann, ... Water resources research 51 (4), 2616-2633, 2015 | 93 | 2015 |
| Coupled inverse modelling of groundwater flow and mass transport and the worth of concentration data HJH Franssen, J Gómez-Hernández, A Sahuquillo Journal of Hydrology 281 (4), 281-295, 2003 | 88 | 2003 |
| Heterogeneous or homogeneous? Implications of simplifying heterogeneous streambeds in models of losing streams DJ Irvine, P Brunner, HJH Franssen, CT Simmons Journal of Hydrology 424, 16-23, 2012 | 85 | 2012 |
| Field evidence of a dynamic leakage coefficient for modelling river–aquifer interactions T Doppler, HJH Franssen, HP Kaiser, U Kuhlman, F Stauffer Journal of Hydrology 347 (1-2), 177-187, 2007 | 84 | 2007 |
| Jointly mapping hydraulic conductivity and porosity by assimilating concentration data via ensemble Kalman filter L Li, H Zhou, JJ Gómez-Hernández, HJH Franssen Journal of hydrology 428, 152-169, 2012 | 81 | 2012 |
| Operational real‐time modeling with ensemble Kalman filter of variably saturated subsurface flow including stream‐aquifer interaction and parameter updating HJ Hendricks Franssen, HP Kaiser, U Kuhlmann, G Bauser, F Stauffer, ... Water Resources Research 47 (2), 2011 | 79 | 2011 |
Stefan KolletResearch Centre JülichBestätigte E-Mail-Adresse bei fz-juelich.de
