Patrick Willems

ORCID: 0000-0002-7085-2570
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About
Contact & Profiles
Research Areas
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Hydrology and Drought Analysis
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Precipitation Measurement and Analysis
  • Urban Stormwater Management Solutions
  • Hydrological Forecasting Using AI
  • Water resources management and optimization
  • Cryospheric studies and observations
  • demographic modeling and climate adaptation
  • Plant Water Relations and Carbon Dynamics
  • Hydrology and Sediment Transport Processes
  • Climate change impacts on agriculture
  • Soil Moisture and Remote Sensing
  • Soil and Water Nutrient Dynamics
  • Soil erosion and sediment transport
  • Water Systems and Optimization
  • Hydraulic flow and structures
  • Dutch Social and Cultural Studies
  • Environmental Policies and Emissions
  • Geophysics and Gravity Measurements
  • Environmental Conservation and Management
  • Climate Change and Environmental Impact
  • Tropical and Extratropical Cyclones Research

KU Leuven
2016-2025

VIB-UGent Center for Plant Systems Biology
2022-2024

VIB-UGent Center for Medical Biotechnology
2024

Ghent University
1998-2024

Vrije Universiteit Brussel
2013-2022

UCLouvain
2014-2021

Flanders Hydraulics
2001-2021

Malawi University of Business and Applied Sciences
2021

Institut National des Sciences Appliquées de Lyon
2021

Université Claude Bernard Lyon 1
2021

Urban catchments are typically characterised by high spatial variability and fast runoff processes resulting in short response times. Hydrological analysis of such requires resolution precipitation catchment information to properly represent response. This study investigated the impact rainfall input on outputs detailed hydrodynamic models seven urban North-West Europe. The aim was identify critical resolutions for characterise Nine storm events measured a dual-polarimetric X-band weather...

10.1016/j.jhydrol.2015.05.035 article EN cc-by-nc-nd Journal of Hydrology 2015-05-26

Abstract. Information on extreme precipitation for future climate is needed to assess the changes in frequency and intensity of flooding. The primary source information change impact studies model projections. However, due coarse resolution biases these models, they cannot be directly used hydrological models. Hence, statistical downscaling necessary address impacts at catchment scale. This study compares eight methods (SDMs) often studies. Four are based factors (CFs), three bias correction...

10.5194/hess-19-1827-2015 article EN cc-by Hydrology and earth system sciences 2015-04-20

Abstract. Application of weather radar data in urban hydrological applications has evolved significantly during the past decade as an alternative to traditional rainfall observations with rain gauges. Advances hardware, processing, numerical models, and emerging fields within hydrology necessitate updated review state art such applications. Three key areas significant advances over have been identified: (1) temporal spatial resolution required for different types applications, (2)...

10.5194/hess-21-1359-2017 article EN cc-by Hydrology and earth system sciences 2017-03-07

Abstract. The potential impact of climate change was investigated on the hydrological extremes Nyando River and Lake Tana catchments, which are located in two source regions Nile basin. Climate scenarios were developed for rainfall evapotranspiration (ETo), considering 17 General Circulation Model (GCM) simulations to better understand range possible future change. They constructed by transferring extracted signals observed series using a frequency perturbation downscaling approach, accounts...

10.5194/hess-15-209-2011 article EN cc-by Hydrology and earth system sciences 2011-01-20

Investigation was made on whether the recent historical changes in frequency and amplitude of rainfall extremes can be considered statistically significant under hypothesis no trend or temporal clustering extremes. The analysis based a 107‐year time series 10‐min Peaks‐Over‐Threshold data obtained from Uccle station Belgium. Rainfall intensities were aggregated at levels ranging 10 min to monthly scale, defined for different seasons block lengths between 5 15 years using sliding windows....

10.1029/2007wr006471 article EN Water Resources Research 2008-07-01

Abstract Urban areas are usually warmer than their surrounding natural areas, an effect known as the urban heat island effect. As such, they particularly vulnerable to global warming and associated increases in extreme temperatures. Yet ensemble climate‐model projections generally performed on a scale that is too coarse represent evolution of temperatures cities. Here, for first time, we combine unprecedented long‐term (35 years) climate model integrations at convection‐permitting (2.8 km...

10.1002/2017gl074889 article EN Geophysical Research Letters 2017-09-07

Abstract Despite the importance of mountain ranges as water providers, knowledge their climate variability is still limited, mostly due to a combination data scarcity and heterogeneous orography. The tropical Andes share many main features in general, are subject several climatic influences that have an effect on rainfall variability. Although studies addressed large‐scale variation, basin scale has received little attention. Thus, purpose this study was obtain better understanding at scal,...

10.1002/hyp.6575 article EN Hydrological Processes 2007-08-08

Impacts of Climate Change on Rainfall Extremes and Urban Drainage Systems provides a state-of-the-art overview existing methodologies relevant results related to the assessment climate change impacts urban rainfall extremes as well hydrology hydraulics. This focuses mainly several difficulties limitations regarding current methods discusses various issues challenges facing research community in dealing with impact adaptation for drainage infrastructure design management.ISBN: 9781780401256...

10.2166/9781780401263 article EN cc-by-nc-nd Water Intelligence Online 2012-08-01

Many studies have observed changes in the frequency and intensity of precipitation extremes floods during last decade(s). Natural variability by climate oscillations partly determines evolution extremes. Based on a technique for identification analysis extremes, this paper shows that oscillatory behaviour at multidecadal time scales. The is based unique dataset 108 years 10-minute intensities Uccle (Brussels), not affected instrumental changes. We also checked consistency findings with long...

10.1007/s10584-013-0837-x article EN cc-by Climatic Change 2013-07-29

10.1007/s00477-015-1046-0 article EN Stochastic Environmental Research and Risk Assessment 2015-02-17
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