A5069261081- Meteorological Phenomena and Simulations
- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Climate variability and models
- Energy Load and Power Forecasting
- Precipitation Measurement and Analysis
- Medical Imaging Techniques and Applications
- Atmospheric and Environmental Gas Dynamics
- Computational Physics and Python Applications
- Distributed and Parallel Computing Systems
- Monetary Policy and Economic Impact
- Landscape and Cultural Studies
- Integrated Energy Systems Optimization
- Hydrological Forecasting Using AI
- Ecology, Conservation, and Geographical Studies
- Wind Turbine Control Systems
- Neural Networks and Applications
- Urban Stormwater Management Solutions
- Tree-ring climate responses
German Meteorological Service
2008-2019
European Centre for Medium-Range Weather Forecasts
2011
Goethe University Frankfurt
1997
Demonstration of probabilistic hydrological and atmospheric simulation flood events in the Alpine region (D-PHASE) is made by Forecast Project connection with Mesoscale Programme (MAP). Its focus lies end-to-end forecasting a mountainous such as Alps surrounding lower ranges. scope ranges from radar observations modeling to decision making civil protection agents. More than 30 high-resolution deterministic models coupled some seven various combinations provided real-time online information....
Abstract. Ensemble forecasts aim at framing the uncertainties of potential future development hydro-meteorological situation. A probabilistic evaluation can be used to communicate forecast uncertainty decision makers. Here an operational system for ensemble based flood forecasting is presented, which combines from European COSMO-LEPS, SRNWP-PEPS and COSMO-DE prediction systems. multi-model lagged average super-ensemble generated by recombining members different runs these meteorological...
Abstract. Flood forecasts are essential to issue reliable flood warnings and initiate control measures on time. The accuracy the lead time of predictions for head waters primarily depend meteorological forecasts. Ensemble a means framing uncertainty potential future development hydro-meteorological situation. This contribution presents management strategy based probabilistic hydrological driven by operational ensemble prediction systems. transformed into discharge rainfall-runoff model....
Abstract A probabilistic evaluation of ensemble forecasts can be used to communicate uncertainty decision makers. We present a flood forecast scheme, which combines from the European COSMO‐LEPS, SRNWP‐PEPS and COSMO‐DE (lagged average) prediction systems with rainfall–runoff model. The methodology was demonstrated case study for Central Mulde River basin. In this paper, we summarize results hindcast simulations seven events 2002 2008. spread resulting in rainfall very high at 2–5 days lead...
Heavy rainfall can cause large variations in the water level of navigable waterways when a lot urban runoff is generated on sealed surfaces and discharged into river. Due to climate change, extreme weather events will increase intensity frequency demanding better automated control at impounded waterways. High- resolution forecasts catchment are intended serve as input rainfall- model. Based resulting discharge forecasts, model predictive feed forward controller calculates ideal across...
The estimation of weather forecast uncertainty with ensemble systems requires a careful selection perturbations to establish reliable sampling the error growth potential in phase space model. Usually, singular vectors tangent linear model propagator are used identify fastest growing modes (classical vector perturbation (SV) method). In this paper we present an efficient matrix-free block Krylov method for generating fast high dimensional dynamical systems. A specific matrix containing...