1
Institute of Bio-Geosciences (IBG-3, Agrosphere), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
2
Centre for High-Performance Scientific Computing, Geoverbund ABC/J, 52425 Jülich, Germany
3
Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
4
Meteorological Institute, Bonn University, 53121 Bonn, Germany
5
Forecast Department, European Centre for Medium-Range Weather Forecasts, Reading RG2 9AX, UK
†
Now at CISS TDI GmbH, Sinzig, Germany.
‡
Now at the Department of Environment, Ghent University, Belgium.
§
Now at Environmental Computing Group, Leibniz Supercomputing Centre, Germany.
‖
Now at the Department of Environmental Research and Innovation, Luxembourg Institute of Science and Technology, Luxembourg.
Abstract
Operational weather and flood forecasting has been performed successfully for decades and is of great socioeconomic importance. Up to now, forecast products focus on atmospheric variables, such as precipitation, air temperature and, in hydrology, on river discharge. Considering the full terrestrial system from
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Operational weather and flood forecasting has been performed successfully for decades and is of great socioeconomic importance. Up to now, forecast products focus on atmospheric variables, such as precipitation, air temperature and, in hydrology, on river discharge. Considering the full terrestrial system from groundwater across the land surface into the atmosphere, a number of important hydrologic variables are missing especially with regard to the shallow and deeper subsurface (e.g., groundwater), which are gaining considerable attention in the context of global change. In this study, we propose a terrestrial monitoring/forecasting system using the Terrestrial Systems Modeling Platform (TSMP) that predicts all essential states and fluxes of the terrestrial hydrologic and energy cycles from groundwater into the atmosphere. Closure of the terrestrial cycles provides a physically consistent picture of the terrestrial system in TSMP. TSMP has been implemented over a regional domain over North Rhine-Westphalia and a continental domain over Europe in a real-time forecast/monitoring workflow. Applying a real-time forecasting/monitoring workflow over both domains, experimental forecasts are being produced with different lead times since the beginning of 2016. Real-time forecast/monitoring products encompass all compartments of the terrestrial system including additional hydrologic variables, such as plant available soil water, groundwater table depth, and groundwater recharge and storage.
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