A5084795321- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Climate variability and models
- Hydrological Forecasting Using AI
- Flood Risk Assessment and Management
- Plant Water Relations and Carbon Dynamics
- Soil Moisture and Remote Sensing
- Meteorological Phenomena and Simulations
- Geophysics and Gravity Measurements
- Groundwater flow and contamination studies
- Cryospheric studies and observations
- Climate change impacts on agriculture
- Soil and Unsaturated Flow
- Reservoir Engineering and Simulation Methods
- Water resources management and optimization
- Precipitation Measurement and Analysis
- Remote Sensing in Agriculture
- Climate change and permafrost
- Environmental Monitoring and Data Management
- Soil and Water Nutrient Dynamics
- Tree-ring climate responses
- Atmospheric and Environmental Gas Dynamics
- Groundwater and Isotope Geochemistry
- Crop Yield and Soil Fertility
- Hydrology and Sediment Transport Processes
Helmholtz Centre for Environmental Research
2016-2025
Norsk Hydro (Germany)
2016-2025
University of Potsdam
2022-2025
Charles River Laboratories (Netherlands)
2024
Universitäres Zentrum für Zahnmedizin Basel
2019-2023
Beijing Normal University
2021
University of California, Los Angeles
2021
John Wiley & Sons (United States)
2016-2020
University of Sheffield
2019
European Centre for Medium-Range Weather Forecasts
2019
The requirements for hydrological models have increased considerably during the previous decades to cope with resolution of extensive remotely sensed data sets and a number demanding applications. Existing exhibit deficiencies such as overparameterization, lack an effective technique integrate spatial heterogeneity physiographic characteristics, nontransferability parameters across scales locations. A multiscale parameter regionalization (MPR) is proposed way address these issues...
Multicompartment and multiscale long-term observation research are important prerequisites to tackling the scientific challenges resulting from climate global change. Long-term monitoring programs cost intensive require high analytical standards, however, gain of knowledge often requires longer times. Nevertheless, several environmental networks have been established in recent years, focusing on impact land use change terrestrial ecosystems. From 2008 onward, a network Terrestrial...
Key Points A calibrated model does not guarantee cross‐scale and location transferability Calibration parameters of MPR exhibit quasi‐scale invariance, but HRU also outperfromed for parameter across locations
Early 21st-century droughts in Europe have been broadly regarded as exceptionally severe, substantially affecting a wide range of socio-economic sectors. These extreme events were linked mainly to increases temperature and record-breaking heatwaves that influencing since 2000, combination with lack precipitation during the summer months. Drought propagated through all respective compartments hydrological cycle, involving low runoff prolonged soil moisture deficits. What if these recent are...
<strong class="journal-contentHeaderColor">Abstract.</strong> The diversity in hydrologic models has historically led to great controversy on the <q>correct</q> approach process-based modeling, with debates centered adequacy of process parameterizations, data limitations and uncertainty, computational constraints model analysis. In this paper, we revisit key modeling challenges requirements (1) define suitable equations, (2) adequate parameters, (3) cope computing power. We outline...
Abstract Estimating spatially distributed parameters remains one of the biggest challenges for large‐domain hydrologic modeling. Many modeling efforts rely on inconsistent parameter fields, e.g., patchwork patterns resulting from individual basin calibrations, fields generated through default transfer functions that relate geophysical attributes to model parameters, or constant, values. This paper provides an initial assessment a multiscale regionalization (MPR) method over large...
During the period 2018–2020, Europe experienced a series of hot and dry weather conditions with significant socioeconomic environmental consequences. Yet, extremity these multi-year is not recognized. Here, we provide comprehensive spatio-temporal assessment drought hazard over by benchmarking past exceptional events during from 1766 to 2020. We identified 2018–2020 event as new benchmark having an unprecedented intensity that persisted for more than 2 years, exhibiting mean areal coverage...
Abstract Accurately predicting regional-scale water fluxes and states remains a challenging task in contemporary hydrology. Coping with this grand challenge requires, among other things, model that makes reliable predictions across scales, locations, variables than those used for parameter estimation. In study, the mesoscale hydrologic (mHM) parameterized multiscale regionalization technique is comprehensively tested 400 European river basins. The states, constrained using observed...
Abstract. There is growing evidence that climate change will alter water availability in Europe. Here, we investigate how hydrological low flows are affected under different levels of future global warming (i.e. 1.5, 2, and 3 K with respect to the pre-industrial period) rivers a contributing area more than 1000 km2. The analysis based on multi-model ensemble 45 simulations three representative concentration pathways (RCP2.6, RCP6.0, RCP8.5), five Coupled Model Intercomparison Project Phase 5...
The 2003 drought event in Europe had major implications on many societal sectors, including energy production, health, forestry and agriculture. reduced availability of water accompanied by high temperatures led to substantial economic losses the order 1.5 Billion Euros, agriculture alone. Furthermore, soil droughts have considerable impacts ecosystems, forest fires management. Monitoring near real-time at high-resolution, i.e., 4 × km2, enables managers mitigate impact these extreme events....
Abstract. Satellite-based earth observations offer great opportunities to improve spatial model predictions by means of spatial-pattern-oriented evaluations. In this study, observed patterns actual evapotranspiration (AET) are utilised for calibration tailored target the pattern performance model. The proposed framework combines temporally aggregated with a new metric and flexible parameterisation scheme. mesoscale hydrologic (mHM) is used simulate streamflow AET has been selected due its...
Abstract. The lack of comprehensive groundwater observations at regional and global scales has promoted the use alternative proxies indices to quantify predict droughts. Among them, Standardized Precipitation Index (SPI) is commonly used characterize droughts in different compartments hydro-meteorological system. In this study, we explore suitability SPI local- regional-scale using more than 2000 wells geologically areas Germany Netherlands. A multiscale evaluation performed station data...
Abstract Land surface models incorporate a large number of process descriptions, containing multitude parameters. These parameters are typically read from tabulated input files. Some these might be fixed numbers in the computer code though, which hinder model agility during calibration. Here we identified 139 hard‐coded Noah land with multiple options (Noah‐MP). We performed Sobol' global sensitivity analysis Noah‐MP for specific set options, includes 42 out 71 standard and 75 The...
Abstract. Global water models (GWMs) simulate the terrestrial cycle on global scale and are used to assess impacts of climate change freshwater systems. GWMs developed within different modelling frameworks consider underlying hydrological processes, leading varied model structures. Furthermore, equations describe various processes take forms generally accessible only from individual codes. These factors have hindered a holistic detailed understanding how operate, yet such an is crucial for...
Abstract Reliable, spatiotemporally continuous runoff records are necessary for identifying climate change impacts and planning effective water management strategies. Existing Chinese data to date have been produced from sparse, poor-quality gauge measurements at different time scales. We developed a new, quality-controlled gridded dataset, the China Natural Runoff Dataset version 1.0 (CNRD v1.0), which provides daily, monthly, annual 0.25° estimates period 1961–2018 over China. CNRD v1.0...
Abstract Anomalies in the frequency of river floods, i.e., flood-rich or -poor periods, cause biases flood risk estimates and thus make climate adaptation measures less efficient. While observations have recently confirmed presence anomalies Europe, their exact causes are not clear. Here we analyse streamflow during 1960-2010 to show that shifts generation processes contribute more occurrence regional than changes extreme rainfall. A shift from rain on dry soil wet events by 5% increased...
Abstract Despite considerable advances in flood forecasting during recent decades, state-of-the-art, operational early warning systems (FEWS) need to be equipped with near-real-time inundation and impact forecasts their associated uncertainties. High-resolution, impact-based provide insightful information for better-informed decisions tailored emergency actions. Valuable can now provided local authorities risk-based decision-making by utilising high-resolution lead-time maps potential...
Abstract Simulated soil moisture is increasingly used to characterize agricultural droughts but its parametric uncertainty, which essentially affects all hydrological fluxes and state variables, rarely considered for identifying major drought events. In this study, a high-resolution, 200-member ensemble of land surface hydrology simulations obtained with the mesoscale Hydrologic Model investigate effects uncertainty on statistics such as duration, extension, severity. daily fields over...
In this commentary we suggest that hydrologists and land-surface modelers may be unnecessarily constraining the behavioral agility of very complex physics-based models. We argue relatively poor performance such models can occur due to restrictions on their ability refine portrayal physical processes, in part because strong a priori constraints in: (i) representation spatial variability hydrologic connectivity, (ii) choice model parameterizations, (iii) parameter values. provide specific...
Climate change impacts on water availability and hydrological extremes are major concerns as regards the Sustainable Development Goals. Impacts hydrology normally investigated part of a modelling chain, in which climate projections from multiple models used inputs to impact models, under different greenhouse gas emissions scenarios, result amounts global temperature rise. While goal is generally investigate relevance changes for cycle, resources or extremes, it often case that variations...