A5082145556- Hydrology and Watershed Management Studies
- Climate variability and models
- Hydrology and Drought Analysis
- Flood Risk Assessment and Management
- Hydrological Forecasting Using AI
- Water resources management and optimization
- Climate change impacts on agriculture
- Rice Cultivation and Yield Improvement
- Soil and Water Nutrient Dynamics
- Groundwater flow and contamination studies
- Soil Moisture and Remote Sensing
- Meteorological Phenomena and Simulations
- Data Analysis with R
- Water-Energy-Food Nexus Studies
- Groundwater and Isotope Geochemistry
- Complex Systems and Decision Making
- Public Health and Environmental Issues
- Urban and Rural Development Challenges
- Reservoir Engineering and Simulation Methods
- Cryospheric studies and observations
- Hydrology and Sediment Transport Processes
- Simulation Techniques and Applications
Justus-Liebig-Universität Gießen
2016-2022
Pontificia Universidad Católica de Chile
2020-2021
University of Stuttgart
2018
An intercomparison of climate change impacts projected by nine regional-scale hydrological models for 12 large river basins on all continents was performed, and sources uncertainty were quantified in the framework ISIMIP project. The ECOMAG, HBV, HYMOD, HYPE, mHM, SWAT, SWIM, VIC WaterGAP3 applied following basins: Rhine Tagus Europe, Niger Blue Nile Africa, Ganges, Lena, Upper Yellow Yangtze Asia, Mississippi, MacKenzie Amazon America, Darling Australia. model calibration validation done...
Estimating the maximum event water fraction, at which contribution to streamflow reaches its peak value during a precipitation event, gives insight into runoff generation mechanisms and hydrological response characteristics of catchment. Stable isotopes are ideal tracers for accurate estimation fractions using isotopic hydrograph separation techniques. However, sampling measuring stable is laborious, cost intensive, often not conceivable under difficult spatiotemporal conditions. Therefore,...
Abstract Tightly constraint parameter ranges are seen as an important goal in constructing hydrological models, a difficult task complex models. However, many studies show that models often good at capturing the behaviour of river. Therefore, this study explores trade-offs between tightly constrained parameters and ability to predict signatures, capture To accomplish we built five differing complexity, ranging from simple lumped model semi-lumped with eight spatial subdivisions. All within...
High-resolution data on a field scale is very important for improving our understanding of hydrological processes. This particularly the case water-demanding agricultural production systems such as rice paddies, which water-saving strategies need to be developed. Here we report application an in situ, automatic sampling system high-resolution stable isotopes water (18O and 2H). We investigate multiple rice-based cropping consisting wet rice, dry maize, with single, but distributed analytical...
Abstract Meteorological droughts have large impacts on society and the environment. A better understanding quantification of their occurrences can be highly relevant for development proper climate change mitigation, adaptation resilience strategies. Here we examine meteorological from observed data covering 1971–2000 period Fulda catchment in Germany by means Standardized Precipitation Index. The joint dependency drought duration severity is modelled a copula function, which relates...
Floodplains are highly complex and dynamic systems in terms of their hydrology. Thus, they harbor specialized floodplain plant species depending on different inundation characteristics. Climate change will most likely alter those This study investigates the potential impact climate characteristics a Rhine River Hesse, Germany. We report cascading uncertainty introduced through projections, model structure, parameter uncertainty. The established modeling framework integrates projections two...
Hydrological model performance depends on the information content and hydrological variability in calibration data. The hypothesis for this study was that a priori predictability of can be made based knowledge about data used calibration. If validation time period has similar to where is expected perform better it termed as 'interpolation case', otherwise 'extrapolation', cannot expected. In geometrical property discriminate between cases interpolation or extrapolation. methodology...
Hydrological model performance depends on the information content and hydrological variability in calibration data. The hypothesis for this study was that a priori predictability of can be made based knowledge about data used calibration. If validation time period has similar to where is expected perform better it termed as 'interpolation case', otherwise 'extrapolation', cannot expected. In geometrical property discriminate between cases interpolation or extrapolation. methodology...
Drought is a complex phenomenon whose characterization best achieved from multivariate perspective. It well known that it can generate adverse consequences in society. In this regard, drought duration, severity, and their interrelationship play critical role. climate change scenario, the assessment of changes its pattern are essential for proper quantification water availability managing strategies. The purpose study to characterize hydrological droughts Rhine River perspective historical...
Groundwater ages are key indicators for flow and transport processes as well anthropogenic geogenic solutes that impact groundwater quality. Commonly, lumped parameter models (LPMs) applied to interpret environmental tracers, like chlorofluorocarbons (CFCs) or tritium. LPMs require a steady state assumption they less complex, computational demanding data intensive compared transient numerical models. But when steady-state assumptions valid age simulations is questionable.An initial sampling...