P
Paul Torfs
Researcher at Wageningen University and Research Centre
Publications - 60
Citations - 2384
Paul Torfs is an academic researcher from Wageningen University and Research Centre. The author has contributed to research in topics: Streamflow & Groundwater. The author has an hindex of 28, co-authored 59 publications receiving 2010 citations.
Papers
More filters
Journal ArticleDOI
Quantifying catchment-scale mixing and its effect on time-varying travel time distributions
TL;DR: In this paper, the storage outflow probability (STOP) function is proposed to quantify the probability for water parcels in storage to leave a catchment via discharge or evapotranspiration.
Journal ArticleDOI
Propagation and spatial distribution of drought in a groundwater catchment
TL;DR: In this article, the authors analyse the propagation and spatial distribution of the drought in the groundwater system, simultaneously in simulated recharge, hydraulic heads and groundwater discharge for a groundwater catchment (Pang, UK).
Journal ArticleDOI
Propagation of drought through groundwater—a new approach using linear reservoir theory
TL;DR: In this paper, the authors analyzed the effect of drought on groundwater heads and discharge by tracking a drought in recharge through a linear reservoir and derived analytical formulations, which expressed the drought duration and deficit in the groundwater discharge in terms of the decrease in recharge, the reservoir coefficient that characterizes aquifer properties and the height of the threshold level.
Journal ArticleDOI
Evaluation of a bias correction method applied to downscaled precipitation and temperature reanalysis data for the Rhine basin
TL;DR: In this article, the authors compare downscaled ERA15 (ECMWF-reanalysis data) precipitation and temperature with observed precipitation and temperatures and apply a bias correction to these forcing variables.
Journal ArticleDOI
Changes in Streamflow Dynamics in the Rhine Basin under Three High-Resolution Regional Climate Scenarios
TL;DR: In this article, high-resolution regional climate scenarios conducted with the regional climate model REMO (REgional MOdel) for the Rhine basin are used to force a macro-scale hydrological model.