Albrecht Weerts

Professor Hydrologic Predictability

Wageningen University & Research

Netherlands

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About

Albrecht Weerts is a Professor of Hydrologic Predictability at Wageningen University & Research in the Netherlands. His research focuses on hydrological modeling and forecasting, with recent articles addressing topics such as reservoir operation simulations, groundwater availability, and the impacts of climate change on hydrological systems. He employs advanced methods including machine learning and high-resolution distributed models to enhance predictive capabilities in hydrology.

Articles (19)

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2025

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Collaborators (8)

Hubert Savenije

NETHERLANDS

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Markus Hrachowitz

Prof.

Delft University of Technology

NETHERLANDS

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Rolf Hut

Delft University of Technology

NETHERLANDS

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Remko Uijlenhoet

Delft University of Technology

NETHERLANDS

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C.C. (Claudia) Brauer

Lecturer/researcher

Wageningen University & Research

NETHERLANDS

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Adriaan Teuling

Associate Professor

Wageningen University & Research

NETHERLANDS

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Nick van de Giesen

Delft University of Technology

NETHERLANDS

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Lesley De Cruz

Vrije Universiteit Brussel

BELGIUM

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Albrecht Weerts

Research Interests

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Articles (19)

Compound effects of river routing and local rainfall-runoff for inflow simulation of a large reservoir

Identifying irrigated areas using land surface temperature and hydrological modelling: application to the Rhine basin

State updating of the Xin'anjiang model: joint assimilating streamflow and multi-source soil moisture data via the asynchronous ensemble Kalman filter with enhanced error models

A fast high resolution distributed hydrological model for forecasting, climate scenarios and digital twin applications using wflow_sbm

Simulation of long-term storage dynamics of headwater reservoirs across the globe using public cloud computing infrastructure

Wflow_sbm v0.7.3, a spatially distributed hydrological model: from global data to local applications

Machine learning for real-time reservoir operation simulation: comparing input variables and algorithms for the Sirikit Reservoir, Thailand

The impact of future changes in climate variables and groundwater abstraction on basin-scale groundwater availability

Quantifying basin-scale changes in groundwater storage using GRACE and one-way coupled hydrological and groundwater flow model in the data-scarce Bandung groundwater basin, Indonesia

State updating in a distributed hydrological model by ensemble Kalman filtering with error estimation

Scale‐dependent blending of ensemble rainfall nowcasts and numerical weather prediction in the open‐source pysteps library

Calibration of ECMWF SEAS5 based streamflow forecast in Seasonal hydrological forecasting for Citarum river basin, West Java, Indonesia

Naive Bayes classification-based surface water gap-filling from partially contaminated optical remote sensing image

Forecasting estuarine salt intrusion in the Rhine–Meuse delta using an LSTM model

Large‐Sample Evaluation of Radar Rainfall Nowcasting for Flood Early Warning

Hydrological data and modeling to combine and validate precipitation datasets relevant to hydrological applications

Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model

Time-series surface water gap filling based on spatiotemporal neighbourhood similarity

Ecosystem adaptation to climate change: the sensitivity of hydrological predictions to time-dynamic model parameters

Collaborators (8)

Hubert Savenije

Markus Hrachowitz

Rolf Hut

Remko Uijlenhoet

C.C. (Claudia) Brauer

Adriaan Teuling

Nick van de Giesen

Lesley De Cruz

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