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Bart van Osnabrugge
Bart van Osnabrugge
Deltares, Wageningen University
Adresse e-mail validée de deltares.nl
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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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