Wagner, Andreas; Fersch, Benjamin; Kamm, Bettina; Yuan, Peng; Shehaj, Endrit; Kunstmann, Harald (2021): Assimilation of GNSS, InSAR and tomography data in convection permitting RCM simulations of the Upper Rhinegraben region [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.936446, In: Fersch, Benjamin; Kamm, Bettina; Shehaj, Endrit; Wagner, Andreas; Yuan, Peng; Möller, Gregor; Schenk, Andreas; Geiger, Alain; Hinz, Stefan; Kutterer, Hansjörg; Kunstmann, Harald (2021): A comprehensive high resolution data collection for tropospheric water vapor assessment for the Upper Rhine Graben, Germany [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.936447
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Published: 2021-09-28 • DOI registered: 2022-11-16
Abstract:
Convection-permitting simulations with the Weather Research and Forecasting Modeling System (WRF) were carried out in order to provide improved water vapor fields for the Upper Rhine Valley in the border region of Germany, Switzerland and France. Hourly ERA5 reanalysis data served as input for three different simulations with (1) open loop, (2) assimilation of GNSS ZTD, InSAR ZTD and synoptic station data and (3) assimilation of tomography ZTD fields. The three-dimensional variation data assimilation (3D-VAR) configuration with hourly resolution was used. The simulations were performed for four events, one in each season (April 11-22, 2016, July 13-23, 2018, October 16-31, 2018, January 6-21, 2017). Surface pressure, temperature (2m) and integrated water vapor are provided in 2D as well as pressure, temperature and water vapor density for each of the 72 vertical levels (3D).
Project(s):
Funding:
German Research Foundation (DFG), grant/award no. 321886779: High-Resolution Atmospheric Water Vapor Fields by Spaceborne Geodetic Sensing, Tomographic Fusion, and Atmospheric Modeling
Coverage:
Latitude: 50.000000 * Longitude: 9.000000
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Fersch, Benjamin | |||
| 2 | Binary Object | Binary | Fersch, Benjamin |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
66 data points
