Willem van Verseveld

ORCID: 0000-0003-3311-738X
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About
Contact & Profiles
Research Areas
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Hydrological Forecasting Using AI
  • Cryospheric studies and observations
  • Meteorological Phenomena and Simulations
  • Soil and Water Nutrient Dynamics
  • Soil and Unsaturated Flow
  • Climate variability and models
  • Water resources management and optimization
  • Hydrology and Drought Analysis
  • Soil Moisture and Remote Sensing
  • Soil erosion and sediment transport
  • Stochastic processes and financial applications
  • Groundwater flow and contamination studies
  • Water Systems and Optimization
  • Hydrology and Sediment Transport Processes
  • Geophysics and Gravity Measurements
  • Scientific Computing and Data Management
  • Plant Water Relations and Carbon Dynamics
  • Landslides and related hazards
  • Water Quality Monitoring Technologies
  • Groundwater and Isotope Geochemistry
  • Peatlands and Wetlands Ecology
  • Radiomics and Machine Learning in Medical Imaging
  • Clinical practice guidelines implementation

Deltares
2010-2024

Oregon State University
2008-2010

Abstract Earth System Models (ESMs) are essential tools for understanding and predicting global change, but they cannot explicitly resolve hillslope‐scale terrain structures that fundamentally organize water, energy, biogeochemical stores fluxes at subgrid scales. Here we bring together hydrologists, Critical Zone scientists, ESM developers, to explore how hillslope may modulate grid‐level fluxes. In contrast the one‐dimensional (1‐D), 2‐ 3‐m deep, free‐draining soil hydrology in most land...

10.1029/2018wr023903 article EN publisher-specific-oa Water Resources Research 2019-02-01

Abstract Moving toward high‐resolution gridded hydrologic models asks for novel parametrization approaches. A conceptual model (wflow_sbm) was parameterized the Rhine basin in Europe based on point‐scale (pedo)transfer functions, without further calibration of effective parameters discharge. Parameters were estimated data resolution, followed by upscaling parameter fields to resolution. The method tested using a 6‐hourly time step at four resolutions (1.2, 2.4, 3.6, and 4.8 km), validation...

10.1029/2019wr026807 article EN cc-by-nc Water Resources Research 2020-03-24

The West African coastal barrier is maintained by significant wave-driven longshore sand transport. This originates from rivers and large deposits. Today, however, much of the fluvial trapped behind river dams and/or interrupted at several locations port jetties. As a result, sandy eroding almost everywhere along its length. aim this study to derive large-scale sediment budget analysis, following consistent approach, for countries: Republic Côte d'Ivoire, Ghana, Togo Benin, pointing out...

10.1016/j.ocecoaman.2017.11.008 article EN cc-by-nc-nd Ocean & Coastal Management 2017-12-13

Abstract. Distributed hydrological models rely on hydrography data such as flow direction, river length, slope and width. For large-scale applications, many of these still a few direction datasets, which are often manually derived. We propose the Iterative Hydrography Upscaling (IHU) method to upscale high-resolution typically coarser resolutions distributed models. The IHU aims preserve upstream–downstream relationship structure, including basin boundaries, meanders confluences, in D8...

10.5194/hess-25-5287-2021 article EN cc-by Hydrology and earth system sciences 2021-09-28

Many impact assessment studies rely on hydrological and hydrodynamic (hydro) models.These models typically require a large set of parameters derived from different datasets hence manual setup can be time consuming hard to reproduce.HydroMT (Hydro Model Tools) is an open-source Python package that aims make the process building model instances analyzing results automated reproducible.The provides common interface data instances, workflows transform into based (hydrological) GIS statistical...

10.21105/joss.04897 article EN cc-by The Journal of Open Source Software 2023-03-07

The Netherlands is a low-lying coastal area and therefore threatened by both extreme river discharges from the Meuse Rhine rivers storm surges along North Sea coastline. To date, in most flood risk analyses these two hazardous phenomena are considered independent. However, if there were dependence between high sea water levels this might result higher design levels, which consequently have implications for protection policy Netherlands. In study we explore relation at Hoek van Holland...

10.1088/1748-9326/10/3/035005 article EN cc-by Environmental Research Letters 2015-03-01

Abstract. The wflow_sbm hydrological model, recently released by Deltares, as part of the Wflow.jl (v0.7.3) modelling framework, is being used to better understand and potentially address multiple operational water resource planning challenges from a catchment scale national continental global scale. free open-source distributed framework written in Julia programming language. development wflow_sbm, model structure, equations functionalities are described detail, including example...

10.5194/gmd-17-3199-2024 article EN cc-by Geoscientific model development 2024-04-25

Abstract Deep seepage is a term in the hillslope and catchment water balance that rarely measured usually relegated to residual equation. While recent studies have begun quantify this important component, we still lack understanding of how deep varies from scales much uncertainty surrounds its quantification within overall balance. Here, report on study H. J. Andrews Experimental Forest Oregon aimed at quantifying component where irrigated 172‐m 2 section for 24·4 days 3·6 ± 3 mm/h. The...

10.1002/hyp.7788 article EN Hydrological Processes 2010-07-19

Abstract. The e-Science environment developed in the framework of EU-funded DRIHM project was used to demonstrate its ability provide relevant, meaningful hydrometeorological forecasts. This illustrated for tragic case 4 November 2011, when Genoa, Italy, flooded as result heavy, convective precipitation that inundated Bisagno catchment. Meteorological Model Bridge (MMB), an innovative software component within interoperability meteorological and hydrological models, is a key environment. MMB...

10.5194/nhess-15-537-2015 article EN cc-by Natural hazards and earth system sciences 2015-03-12

Abstract. Distributed hydrological modelling moves into the realm of hyper-resolution modelling. This results in a plethora scaling-related challenges that remain unsolved. To user, light model result interpretation, finer-resolution output might imply an increase understanding complex interplay heterogeneity within system. Here we investigate spatial scaling form varying resolution by evaluating streamflow estimates distributed wflow_sbm based on 454 basins from large-sample CAMELS data...

10.5194/hess-26-4407-2022 article EN cc-by Hydrology and earth system sciences 2022-08-29

Anthropogenic water withdrawals have increased substantially due to socio-economic development, changes in consumption patterns, and population growth. Despite comprising a significant portion of available resources influencing availability, anthropogenic use is often not explicitly incorporated hydrological models data limitations or restricted access. Hydrological are calibrated with observed discharge which implicitly corrects  for this missing process. However, parameter...

10.5194/egusphere-egu25-15753 preprint EN 2025-03-15

Irrigation can significantly influence the hydrological system of agriculturally productive catchments thus understanding dynamics water balance is indispensable for sustainable (agricultural) management. Accurate estimation catchment balance, using distributed modelling and earth observation data, requires thorough consideration associated uncertainties from different sources such as in model representation processes errors embedded remotely sensed data.In this study, we estimate spatial...

10.5194/egusphere-egu25-18743 preprint EN 2025-03-15

Upper region of the Greater Chao Phraya River (GCPR) basin in Thailand. This study presents a (∼1 km resolution) distributed hydrological model, wflow_sbm, with global spatial data and parameterization for estimating daily streamflow upper GCPR basin, aim to overcome situ scarcity often occurring Southeast Asia. We forced model MSWEP V2 precipitation eartH2Observe potential evapotranspiration datasets. Seamless parameter maps based on pedotransfer functions (PTFs) literature review were...

10.1016/j.ejrh.2021.100794 article EN cc-by-nc-nd Journal of Hydrology Regional Studies 2021-03-10

Abstract Mechanistic assessment of how transpiration influences subsurface flow is necessary to advance understanding catchment hydrology. We conducted a 24‐day, steady‐state irrigation experiment quantify the relationships among soil moisture, and hillslope flow. Our objectives were to: (1) examine time lag between maximum minimum discharge with regard moisture; (2) relationship diel daily transpiration; (3) identify depth from which trees extract water for transpiration. An 8 × 20 m was...

10.1002/eco.114 article EN Ecohydrology 2010-05-18

10.5281/zenodo.5166932 article Zenodo (CERN European Organization for Nuclear Research) 2020-11-13

Abstract. The wflow_sbm hydrologic model, recently released by Deltares, as part of the Wflow.jl (v0.6.1) modelling framework is being used to better understand and potentially address multiple operational water resources planning challenges from catchment scale, national scale continental global scale. a free open-source distributed written in Julia programming language. development wflow_sbm, model structure, equations functionalitities are described detail, including example applications...

10.5194/gmd-2022-182 preprint EN cc-by 2022-08-02

Abstract We investigated long‐term and seasonal patterns of N imports exports, as well following climate perturbations, across biomes using data from 15 watersheds nine Long‐Term Ecological Research (LTER) sites in North America. Mean dissolved inorganic nitrogen (DIN) import–export budgets (N import via precipitation–N export stream flow) for common years all was highly variable, ranging a net loss − 0·17 ± 0·09 kg ha −1 mo to retention 0·68 0·08 . The DIN decreased (smaller budget) with...

10.1002/eco.10 article EN Ecohydrology 2008-01-01

Abstract. Few studies have quantified the differences between celerity and velocity of hillslope water flow explained processes that control these differences. Here, we asses by combining a 24-day sprinkling experiment with spatially explicit hydrologic model analysis. We focused our work on Watershed 10 at H. J. Andrews Experimental Forest in western Oregon. Celerities estimated from wetting front arrival times were generally much faster than average vertical velocities δ2H. In analysis,...

10.5194/hess-21-5891-2017 article EN cc-by Hydrology and earth system sciences 2017-11-27

Upper region of the Greater Chao Phraya River (GCPR) basin in Thailand. The upper GCPR is highly regulated by multipurpose reservoirs, which obviously have altered natural streamflow. Understanding quantitative effects such alteration crucial for effective water resource management. Therefore, this study aims to assess how reservoir operation affects balance, daily flow regime and extreme flows basin. For purpose, we reconstructed streamflow naturalized (no reservoir) baseline scenarios...

10.1016/j.ejrh.2021.100792 article EN cc-by-nc-nd Journal of Hydrology Regional Studies 2021-03-18

We investigated improvements to further speed up the multi-threaded scaling of distributed hydrological model wflow_sbm. To gain insight in for operational applications, we connected improved code ECMWF's Fields Database allow on-the-fly pre-processing forcing, which accelerated entire forecasting chain. In original wflow_sbm implementation, run times increased when more than eight threads were used due Julia's native threading overhead. Now, are 2 11 faster, depending on chosen routing...

10.1016/j.envsoft.2024.106099 article EN cc-by Environmental Modelling & Software 2024-06-12

Abstract. Distributed hydrological models rely on hydrography data such as flow direction, river length, slope and width. For large-scale applications, many of these still a few flow-direction datasets, which are often manually derived. We propose the Iterative Hydrography Upscaling (IHU) method to upscale high-resolution direction typically coarser resolutions distributed models. The IHU aims preserve upstream-downstream relationship structure, including basin boundaries, meanders...

10.5194/hess-2020-582 preprint EN cc-by 2020-11-24
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