| 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 | 67 | 2020 |
| genRE: A method to extend gridded precipitation climatology data sets in near real‐time for hydrological forecasting purposes B Van Osnabrugge, AH Weerts, R Uijlenhoet Water Resources Research 53 (11), 9284-9303, 2017 | 38 | 2017 |
| Contribution of potential evaporation forecasts to 10-day streamflow forecast skill for the Rhine River B Van Osnabrugge, R Uijlenhoet, A Weerts Hydrology and Earth System Sciences 23 (3), 1453-1467, 2019 | 23 | 2019 |
| Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop A Dasgupta, L Arnal, R Emerton, S Harrigan, G Matthews, A Muhammad, ... Journal of Flood Risk Management 18 (1), e12880, 2025 | 15 | 2025 |
| The potential of silica encapsulated DNA magnetite microparticles (SiDNAMag) for multi-tracer studies in subsurface hydrology JW Foppen, T Bogaard, B van Osnabrugge, M Puddu, R Grass EGU General Assembly Conference Abstracts 17, 2015 | 4 | 2015 |
| Interpolate, simulate, assimilate: operational aspects of improving hydrological forecasts in the Rhine basin B van Osnabrugge PQDT-Global, 2020 | 2 | 2020 |
| Gridded precipitation dataset for the Rhine basin made with the genRE interpolation method B Osnabrugge, R Uijlenhoet, AH Weerts | 2 | 2017 |
| Wflow_sbm, a spatially distributed hydrologic model: from global data to local applications W van Verseveld, H Boisgontier, L Bouaziz, D Eilander, A Haag, ... EGU General Assembly Conference Abstracts, 14837, 2020 | 1 | 2020 |
| Gridded Hourly Temperature, Radiation and Makkink Potential Evaporation forcing for hydrological modelling in the Rhine basin B van Osnabrugge, AH Weerts | 1 | 2018 |
| Building Community Workflows to Accelerate Progress in Hydrological Modelling B van Osnabrugge, W Knoben, D Casson, H Liu, G Tang, S Gharari, ... Frontiers in Hydrology 2022, 150-06, 2022 | | 2022 |
| Using public cloud computing infrastructure for rapid simulations of large-scale global reservoirs P Hazenberg, A Weerts, B van Osnabrugge, I Miltenburg, ... EGU General Assembly Conference Abstracts, EGU22-10394, 2022 | | 2022 |
| Long-term dynamics of reservoirs across the globe A Weerts, P Hazenberg, B van Osnabrugge, W van Verseveld EGU General Assembly Conference Abstracts, EGU22-10411, 2022 | | 2022 |
| Ensemble Data Assimilation Methods for Improved Snow Estimation and Streamflow Prediction in Mountainous Terrain D Casson, W Knoben, L Arnal, S Gharari, B van Osnabrugge, G Tang, ... IAHS2022, 2022 | | 2022 |
| Deployment automation of hydrological forecasting systems on a global scale. A Onate-Paladines, B Van Osnabrugge, J Verkade, A Weerts EGU General Assembly Conference Abstracts, EGU21-3011, 2021 | | 2021 |
| Application of the" genRE" approach to spatial interpolation of precipitation gauge data for the Suir River Basin G Boumis, B van Osnabrugge, J Verkade EGU General Assembly Conference Abstracts, EGU21-520, 2021 | | 2021 |
| Moderne data-assimilatie in operationele hoogwaterverwachtingssytemen E Burke, G van den Houten, AH Weerts, B van Osnabrugge Stromingen: vakblad voor hydrologen 27 (2), 3-16, 2021 | | 2021 |
| A 20-year reforecast study combining high-resolution hydrological modelling, ensemble forecasting and data assimilation for the 12 largest tributaries of the Rhine B van Osnabrugge, M Smoorenburg, R Uijlenhoet, A Weerts EGU General Assembly Conference Abstracts, 3338, 2020 | | 2020 |
| Ruimtelijk schaalbare hydrologische modelparameters uit open-source omgevingsdata: een voorbeeld voor de Rijn RO Imhoff, W van Verseveld, B van Osnabrugge, AH Weerts Stromingen: vakblad voor hydrologen 26 (3), 19-36, 2020 | | 2020 |
| Assimilating water levels of 8 Swiss lakes into a distributed hydrological model to improve low flow forecasts for the river Rhine at Basel with the AEnKF and wflow-OpenDA. B van Osnabrugge, M Smoorenburg, R Uijlenhoet, A Weerts Geophysical Research Abstracts 21, 2019 | | 2019 |
| Scaling point-scale pedotransfer functions to seamless large-domain parameter estimates for high-resolution distributed hydrological modelling: An example for the Rhine river. W van Verseveld, R Imhoff, B van Osnabrugge, A Weerts Geophysical Research Abstracts 21, 2019 | | 2019 |
