A5094096122- Hydrology and Watershed Management Studies
- Hydrological Forecasting Using AI
- AI-based Problem Solving and Planning
- Multi-Criteria Decision Making
- Flood Risk Assessment and Management
- Reservoir Engineering and Simulation Methods
- Climate change and permafrost
- Plant Water Relations and Carbon Dynamics
- Arctic and Antarctic ice dynamics
- Hydrology and Drought Analysis
- Soil and Water Nutrient Dynamics
- Data Management and Algorithms
- Semantic Web and Ontologies
- Cryospheric studies and observations
- Groundwater flow and contamination studies
University of Potsdam
2024-2025
GFZ Helmholtz Centre for Geosciences
2024
Good representation of the hydrological system in models is required to provide reliable predictions. The selection a suitable set performance criteria core decision identifying optimal parameter set(s) during model calibration. As each criterion focuses on different parts hydrograph, their often determines which values are selected as for representing rainfall-runoff behaviour catchment. Knowning most purpose, or catchment difficult determine.We therefore 16 classical metrics and signature...
Abstract. A widespread assumption is that data-driven models only achieve good results with sufficiently large training data, while process-based are usually expected to be superior in data-poor situations. In our study, we investigate this by calibrating several and hydrological data sets of observed discharge differ the number points type selection. The tested include four commonly used (GR4J, HBV, mHM, SWAT+) (conditional probability distributions, regression trees, ANN, LSTM), which...
ABSTRACT While measured streamflow is commonly used for hydrological model evaluation and calibration, an increasing amount of data on additional variables available. These have the potential to improve process consistency in modeling consequently predictions under change, as well data‐scarce or ungauged regions. Here, we show how these beyond are currently calibration. We consider storage flux variables, namely snow, soil moisture, groundwater level, terrestrial water storage,...
Abstract Hydrological parameters are used to tailor simulation models the specific characteristics of a catchment so that can accurately represent processes under different conditions. In case mesoscale Model (mHM), its estimated via transfer functions using Multiscale Parameter Regionalization (MPR) approach. this study, spatial and temporal variability in sensitivity function (TFP) their relationships corresponding simulated investigated understand how these TFP control hydrological fluxes...
Snowmelt or ice melt typically control diurnal streamflow cycles during rain-free periods in high-altitude alpine catchments. Evapotranspiration-controlled are less prominent, but can occur simultaneously (Mutzner et al., 2015). In general, the importance of evapotranspiration for water balance catchments is likely to increase due changing atmospheric boundary conditions and (related) changes land cover. this study, we focus on controls Fundusbach catchment (13 km²) Ötztal...
In alpine catchments, evapotranspiration (ET) is regularly considered a minor component of the hydrological system and therefore only rudimentarily regarded in modelling studies climate change projections. The focus usually on snow glacier related processes, projecting rapid retreat glaciers central Europe within next few years decreasing volumes at lower elevations due to warming. This leads reduction dominance processes. Changes vegetation characteristics climate- and/or land use will...
Hydrological models differ in the way how hydrological processes are implemented. A rigorous comparison of different model structures is needed to disentangle link between similarities and differences process representations simulated processes, states fluxes. major challenge identify effects individual processes. To move a step this direction, we developed controlled experiments compared three (HBV, mHM, SWAT+) nine German catchments (400-3000 km²) along an elevation gradient. We...