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Persistent Identifier
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perma:LIST.XBAVS5 |
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Publication Date
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2026-01-05 |
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Title
| Introduction of an experimental terrestrial forecasting/monitoring system at regional to continental scales based on the terrestrial systems modeling platform (v1.1.0) [* Cross-Reference *] |
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Other Identifier
| https://doi.org/10.3390/w10111697 |
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Author
| Kollet, Stefan (Forschungszentrum Jülich GmbH, Centre for High-Performance Scientific Computing in Terrestrial Systems)
Gasper, Fabian (Forschungszentrum Jülich GmbH, Centre for High-Performance Scientific Computing in Terrestrial Systems, CISS TDI GmbH)
Brdar, Slavko (Centre for High-Performance Scientific Computing in Terrestrial Systems, Forschungszentrum Jülich GmbH)
Goergen, Klaus (Forschungszentrum Jülich GmbH, Centre for High-Performance Scientific Computing in Terrestrial Systems)
Hendricks-Franssen, Harrie Jan (Forschungszentrum Jülich GmbH, Centre for High-Performance Scientific Computing in Terrestrial Systems)
Keune, Jessica (Forschungszentrum Jülich GmbH, Centre for High-Performance Scientific Computing in Terrestrial Systems, Universität Bonn, Universiteit Gent)
Kurtz, Wolfgang (Forschungszentrum Jülich GmbH, Centre for High-Performance Scientific Computing in Terrestrial Systems, Leibniz-Rechenzentrum München)
Küll, Volker (Universität Bonn)
Pappenberger, Florian (European Centre for Medium-Range Weather Forecasts)
Poll, Stefan (Universität Bonn)
Trömel, Silke (Universität Bonn)
Shrestha, Prabhakar (Universität Bonn)
Simmer, Clemens (Centre for High-Performance Scientific Computing in Terrestrial Systems, Universität Bonn)
Sulis, Mauro (Universität Bonn, Luxembourg Institute of Science and Technology) |
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Point of Contact
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LIST RDS (LIST) |
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Description
| 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. (2018-11-21)
***This entry has been automatically imported via Infodoc(ASO) CSV by LIST harvest scripts. Please refer to https://doi.org/10.3390/w10111697 for the original and latest version of the dataset and data downloads*** (2025-12-16) |
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Subject
| Other |
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Keyword
| Real-time forecasting/monitoring
Terrestrial modeling
Workflows |
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Deposit Date
| 2018-11-21 |
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Data Type
| Article |