| Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities Y Liu, AH Weerts, M Clark, HJ Hendricks Franssen, S Kumar, ... Hydrology and earth system sciences 16 (10), 3863-3887, 2012 | 520 | 2012 |
| Particle filtering and ensemble Kalman filtering for state updating with hydrological conceptual rainfall‐runoff models AH Weerts, GYH El Serafy Water resources research 42 (9), 2006 | 442 | 2006 |
| Continental and global scale flood forecasting systems RE Emerton, EM Stephens, F Pappenberger, TC Pagano, AH Weerts, ... Wiley Interdisciplinary Reviews: Water 3 (3), 391-418, 2016 | 293 | 2016 |
| State of the Climate in 2018 J Blunden, DS Arndt Bulletin of the American Meteorological Society 100 (9), Si-S306, 2019 | 262 | 2019 |
| Estimation of predictive hydrological uncertainty using quantile regression: examples from the National Flood Forecasting System (England and Wales) AH Weerts, HC Winsemius, JS Verkade Hydrology and Earth System Sciences 15 (1), 255-265, 2011 | 230 | 2011 |
| Post-processing ECMWF precipitation and temperature ensemble reforecasts for operational hydrologic forecasting at various spatial scales JS Verkade, JD Brown, P Reggiani, AH Weerts Journal of Hydrology 501, 73-91, 2013 | 201 | 2013 |
| Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models O Rakovec, MC Hill, MP Clark, AH Weerts, AJ Teuling, R Uijlenhoet Water Resources Research 50 (1), 409-426, 2014 | 195 | 2014 |
| A global network for operational flood risk reduction L Alfieri, S Cohen, J Galantowicz, GJP Schumann, MA Trigg, E Zsoter, ... Environmental science & policy 84, 149-158, 2018 | 147 | 2018 |
| Information content of data for identifying soil hydraulic parameters from outflow experiments JA Vrugt, W Bouten, AH Weerts Soil Science Society of America Journal 65 (1), 19-27, 2001 | 140 | 2001 |
| State updating of a distributed hydrological model with Ensemble Kalman Filtering: effects of updating frequency and observation network density on forecast accuracy O Rakovec, AH Weerts, P Hazenberg, P Torfs, R Uijlenhoet Hydrology and Earth System Sciences 16 (9), 3435-3449, 2012 | 124 | 2012 |
| Skill of a global seasonal streamflow forecasting system, relative roles of initial conditions and meteorological forcing NC Yossef, H Winsemius, A Weerts, R van Beek, MFP Bierkens Water Resources Research 49 (8), 4687-4699, 2013 | 121 | 2013 |
| A Bayesian approach to decision-making under uncertainty: An application to real-time forecasting in the river Rhine P Reggiani, AH Weerts Journal of Hydrology 356 (1-2), 56-69, 2008 | 113 | 2008 |
| Data assimilation of GRACE terrestrial water storage estimates into a regional hydrological model of the Rhine River basin N Tangdamrongsub, SC Steele-Dunne, BC Gunter, PG Ditmar, AH Weerts Hydrology and Earth System Sciences 19 (4), 2079-2100, 2015 | 108 | 2015 |
| Spatial and temporal evaluation of radar rainfall nowcasting techniques on 1533 events RO Imhoff, CC Brauer, A Overeem, AH Weerts, R Uijlenhoet Water Resources Research, e2019WR026723, 2020 | 97 | 2020 |
| Significant uncertainty in global scale hydrological modeling from precipitation data errors FCS Weiland, JA Vrugt, AH Weerts, MFP Bierkens Journal of Hydrology 529, 1095-1115, 2015 | 88 | 2015 |
| Estimation of predictive hydrologic uncertainty using the quantile regression and UNEEC methods and their comparison on contrasting catchments N Dogulu, P López López, DP Solomatine, AH Weerts, DL Shrestha Hydrology and Earth System Sciences 19 (7), 3181-3201, 2015 | 86 | 2015 |
| Extracting information from an ensemble of GCMs to reliably assess future global runoff change FCS Weiland, LPH Van Beek, AH Weerts, MFP Bierkens Journal of Hydrology 412, 66-75, 2012 | 86 | 2012 |
| Redressing the balance: quantifying net intercatchment groundwater flows L Bouaziz, A Weerts, J Schellekens, E Sprokkereef, J Stam, H Savenije, ... Hydrology and Earth System Sciences 22 (12), 6415-6434, 2018 | 85 | 2018 |
| Uncertainty assessment via Bayesian revision of ensemble streamflow predictions in the operational river Rhine forecasting system P Reggiani, M Renner, AH Weerts, P Van Gelder Water Resources Research 45 (2), 2009 | 84 | 2009 |
| Scaling point‐scale (pedo) transfer functions to seamless large‐domain parameter estimates for high‐resolution distributed hydrologic modeling: An example for the Rhine River RO Imhoff, WJ Van Verseveld, B Van Osnabrugge, AH Weerts Water Resources Research 56 (4), e2019WR026807, 2020 | 83 | 2020 |
Ruben ImhoffDeltaresVerified email at deltares.nl
