A comprehensive high resolution data collection for tropospheric water vapor assessment for the Upper Rhine Graben, Germany
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| Autores principales: | , , , , , , , , , , |
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
| Publicado: |
PANGAEA
2021
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| _version_ | 1867172224931201024 |
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| author | Fersch, Benjamin Kamm, Bettina Shehaj, Endrit Wagner, Andreas Yuan, Peng Möller, Gregor Schenk, Andreas Geiger, Alain Hinz, Stefan Kutterer, Hansjörg Kunstmann, Harald |
| author_facet | Fersch, Benjamin Kamm, Bettina Shehaj, Endrit Wagner, Andreas Yuan, Peng Möller, Gregor Schenk, Andreas Geiger, Alain Hinz, Stefan Kutterer, Hansjörg Kunstmann, Harald |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | Different observation and modeling techniques were used to derive integrated water vapor (IWV) fields for the Upper Rhine Graben in the border region of Germany, Switzerland, and France. The dataset features 1) point-scale IWV and zenith total delay (ZTD) derived for 66 stations of the global navigation satellite system (GNSS) Upper Rhine Graben network (GURN), 2) area-distributed IWV and differential slant path delays from space-borne Interferometric synthetic aperture radar (InSAR) observations, 3) IWV, ZTD, refractivity (3D), and water vapor density (3D) from tomography, obtained by collocation of GNSS and InSAR products, and 4) IWV, precipitation and water vapor density (3D) simulated with the Weather Research and Forecasting Modeling system (WRF) with free run (open-loop) and three-dimensional variational data-assimilation (3D-VAR) configuration. All data products cover 4 seasonal epochs (11 – 22 Apr 2016, 13 – 24 Jul 2018, 16 – 31 Oct 2018, 06 – 21 Jan 2017). GNSS, InSAR, and tomography data are additionally available for the period Jan 2015 – Jun 2019. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_936447 |
| institution | PANGAEA |
| language | en |
| publishDate | 2021 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | A comprehensive high resolution data collection for tropospheric water vapor assessment for the Upper Rhine Graben, Germany Fersch, Benjamin Kamm, Bettina Shehaj, Endrit Wagner, Andreas Yuan, Peng Möller, Gregor Schenk, Andreas Geiger, Alain Hinz, Stefan Kutterer, Hansjörg Kunstmann, Harald Atmosphere; AtmoWater; Data Assimilation; GNSS; GURN; High-Resolution Atmospheric Water Vapor Fields by Spaceborne Geodetic Sensing, Tomographic Fusion, and Atmospheric Modeling; InSAR; integrated water vapor; moisture; MULT; Multiple investigations; Upper_Rhine_Graben; WRF Different observation and modeling techniques were used to derive integrated water vapor (IWV) fields for the Upper Rhine Graben in the border region of Germany, Switzerland, and France. The dataset features 1) point-scale IWV and zenith total delay (ZTD) derived for 66 stations of the global navigation satellite system (GNSS) Upper Rhine Graben network (GURN), 2) area-distributed IWV and differential slant path delays from space-borne Interferometric synthetic aperture radar (InSAR) observations, 3) IWV, ZTD, refractivity (3D), and water vapor density (3D) from tomography, obtained by collocation of GNSS and InSAR products, and 4) IWV, precipitation and water vapor density (3D) simulated with the Weather Research and Forecasting Modeling system (WRF) with free run (open-loop) and three-dimensional variational data-assimilation (3D-VAR) configuration. All data products cover 4 seasonal epochs (11 – 22 Apr 2016, 13 – 24 Jul 2018, 16 – 31 Oct 2018, 06 – 21 Jan 2017). GNSS, InSAR, and tomography data are additionally available for the period Jan 2015 – Jun 2019. |
| title | A comprehensive high resolution data collection for tropospheric water vapor assessment for the Upper Rhine Graben, Germany |
| topic | Atmosphere; AtmoWater; Data Assimilation; GNSS; GURN; High-Resolution Atmospheric Water Vapor Fields by Spaceborne Geodetic Sensing, Tomographic Fusion, and Atmospheric Modeling; InSAR; integrated water vapor; moisture; MULT; Multiple investigations; Upper_Rhine_Graben; WRF |
| url | https://doi.org/10.1594/PANGAEA.936447 |