A5000955017- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Hydrological Forecasting Using AI
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Forest ecology and management
- Tree-ring climate responses
- Exercise and Physiological Responses
- demographic modeling and climate adaptation
- Winter Sports Injuries and Performance
- Urban Agriculture and Sustainability
- Peatlands and Wetlands Ecology
Utrecht University
2021-2024
Recent droughts in Europe have shown that national water systems are facing increasing challenges when dealing with drought impacts. Especially the Netherlands has seen an need to adapt their management improve preparedness for future events. Ideally, necessary information needed operational decisions should be readily available ahead of time and/or computed flexibly and efficiently ensure sufficient evaluate various actions. In this study, we show addition physically based hydrological...
Abstract. Hydrological forecasts are important for operational water management and near-future planning, even more so in light of the increased occurrences extreme events such as floods droughts. Having a forecasting framework, which is flexible terms input forcings locations (local, regional, or national) that can deliver this information fast computational efficient manner, critical. In study, suitability hybrid combining data-driven approaches seasonal (re)forecasting from dynamical...
Abstract. The 2022 European drought has underscored critical deficiencies in water management. This paper explores these shortcomings and suggests a way forward for risk Data this study was gathered through continent-wide survey of managers involved event. collected 481 responses from 30 countries is comprised 19 questions concerning sectorial impact the 55 regions responders management practices their organizations. Information enriched with climate-related information to offer...
Abstract. Drought is a devastating natural disaster, during which water shortage often manifests itself in the health of vegetation. Unfortunately, it difficult to obtain high-resolution vegetation drought impact information that spatially and temporally consistent. While remotely sensed products can provide part this information, they suffer from data gaps limitations with respect their spatial or temporal resolution. A persistent feature among remote-sensing trade-off between resolution...
Hydrological extremes pose a serious threat to critical functions and services provided by terrestrial ecosystems. Anticipated increases in frequency severity of droughts due climate change is expected negatively impact ecosystem functioning vegetation health. The ability recover after drought episode an important metric the impact. Wide-spread impacts can result regional decrease resilience overall decline Analyzing post-drought recovery characteristics it spatial connectiveness provides...
Assessing human influence on groundwater resources globally is a complex challenge, particularly when attempting to disentangle impacts drought dynamics. These may also have strong recovery after periods, where intensification of pumping could lead longer periods. With the GLOBGM v1.0, 1km global model (1), we investigate at different spatial scales and various locations, with without influences see if can these signals.While such large-scale physically-based models are valuable for...
Multi-year droughts (MYDs), lasting more than a year, have devastating effects on vegetation. Due to climate change, MYDs are expected become frequent and intense, making it crucial assess their impact vegetation accurately.In this study, we combined MODIS satellite observations, ERA5 meteorological reanalysis data, the LPJmL dynamic model evaluate sensitivity of quantify seven types in six different regions across globe during 21st century. To measure response drought, used standardized...
Abstract. Hydrological forecasts are important for operational water management and near future planning, even more so in light of increased occurrences extreme events such as floods droughts. Having a flexible forecasting framework that can deliver this information fast computational efficient manner is critical. In study, the suitability hybrid framework, combining data-driven approaches seasonal (re)forecasting to predict hydrological variables was explored. Target include discharge...
Abstract. Drought is a devastating natural disaster, where water shortage often manifests itself in the health of vegetation. Unfortunately, it difficult to obtain high-resolution vegetation drought impact, which spatially and temporally consistent. While remotely sensed products can provide part this information, they suffer from data gaps limitations spatial or temporal resolutions. A persistent feature among remote sensing tradeoffs between resolution revisiting times, high met by coarse...
Climate change has a large influence on the occurrence of extreme hydrological events. However, reliable estimates future event probabilities, especially when needed locally, require very long time series with models, which is often not possible due to computational constraints. In this study we take advantage two recent developments that allow for more detailed and local extremes. New climate ensembles (LE) now provide insight extremes as they offer order magnitude realizations weather. At...
Extreme events like droughts and floods can have significant impact on the environment society. As a result effective water management strategies are necessary to limit mitigate these impacts. In past decade, Netherlands has experienced several extreme drought events, raising increasing interest in adapting practices, traditionally focused floods, address more directly effectively. Machine learning techniques previously been tested for same region terms of seasonal forecasting1  and...
The 2022 European drought has underscored critical deficiencies in water management.This paper delves into these shortcomings and suggests a way forward for risk management using Europe-wide survey among managers involved the event.Information from is enriched with climate-related information to offer comprehensive overview of Europe.Our research focuses on four key aspects: increasing drought, its spatial temporal impacts, current approaches, evolution across continent.Our findings reveal...
Climate change has a large influence on the occurrence of extreme hydrological events. In this study we take advantage two recent developments that allow for more detailed and local estimates future extremes. New climate ensembles (LE) now provide insight into extremes as they offer order magnitude realizations weather thus floods droughts. At same time in Machine Learning (ML) based forecasting have enabled scientists to LE information scale relevant water managers.In combine LE, consisting...
<p>Ensemble hydrological forecasts are important for operational water management and near future planning, even more so in times of increased extreme events such as floods droughts. Especially the latter requires a planning horizon several weeks to months optimize availability. Having flexible forecasting framework that can deliver this information fast computational efficient manner is critical. In study we exploring new hybrid framework, combining machine learning models...
<p>Recent droughts have shown that national water systems are facing increasing challenges over the last few years. As such, Netherlands has seen needs to adapt their management in order improve preparedness for current and future drought events. Ideally, necessary information needed operational decisions should be readily available ahead time and/or computed a flexible efficient way ensure various actions. In this study we show addition physically based hydrological models,...