Furusho, Carina; Goergen, Klaus; Keune, Jessica; Kulkarni, Ketan; Kollet, Stefan (2019): Pan-european, physically consistent simulations from groundwater to the atmosphere with the Terrestrial Systems Modeling Platform, TerrSysMP (1989-2018 daily time-series) [dataset]. Forschungszentrum Jülich GmbH, PANGAEA, https://doi.org/10.1594/PANGAEA.901823
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Published: 2019-05-17 • DOI registered: 2019-05-21
Abstract:
Applying the Terrestrial Systems Modeling Platform, TerrSysMP, this study provides the first simulated long-term (1989-2018), high-resolution (~12.5km) terrestrial system climatology over Europe, which comprises variables from groundwater across the land surface to the top of the atmosphere (G2A). The data set offers an unprecedented opportunity to test hypotheses related to short- and long-range feedback processes in space and time between the different interacting compartments of the terrestrial system. The physical consistency of simulated states and fluxes in the terrestrial system constitutes the uniqueness of the data set: while most regional climate models (RCMs) have a tendency to simplify the soil moisture and groundwater representation, TerrSysMP explicitly simulates the full 3D soil- and groundwater dynamics, closing the terrestrial water cycle from G2A. Anthropogenic impacts are excluded, the dataset may serve therefore as a near-natural reference for global change simulations including human water use and climate change. The data set is available as netCDF files.
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Coverage:
Latitude: 50.000000 * Longitude: 17.000000
Event(s):
Comment:
2019-12-05: 30 Datasets 'vso_EUR-11_ECMWF-ERAINT_evaluation_r1i1p1_FZJ-IBG3-TERRSYSMP11_v1_day_*.nc* deleted
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File name | File name | Furusho, Carina | |||
| 2 | File format | File format | Furusho, Carina | |||
| 3 | File size | File size | kByte | Furusho, Carina | ||
| 4 | Uniform resource locator/link to file | URL file | Furusho, Carina |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
6120 data points
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