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Bart van Osnabrugge
Bart van Osnabrugge
Deltares, Wageningen University
Verified email at deltares.nl
Title
Cited by
Cited by
Year
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
512020
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
312017
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
202019
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, e12880, 2023
62023
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
42015
Interpolate, simulate, assimilate: operational aspects of improving hydrological forecasts in the Rhine basin
B van Osnabrugge
PQDT-Global, 2020
22020
Gridded precipitation dataset for the Rhine basin made with the genRE interpolation method
B van Osnabrugge, R Uijlenhoet, AH Weerts
22017
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
12020
Gridded Hourly Temperature, Radiation and Makkink Potential Evaporation forcing for hydrological modelling in the Rhine basin
B van Osnabrugge, AH Weerts
12018
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
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