Tropospheric water vapor: a comprehensive high-resolution data collection for the transnational Upper Rhine Graben region
<p>Tropospheric water vapor is one of the most important trace gases of the Earth's climate system, and its temporal and spatial distribution is critical for the genesis of clouds and precipitation. Due to the pronounced dynamics of the atmosphere and the nonlinear relation of air tempera...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-12-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/14/5287/2022/essd-14-5287-2022.pdf |
| _version_ | 1811213166644822016 |
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| author | B. Fersch A. Wagner B. Kamm E. Shehaj A. Schenk P. Yuan A. Geiger G. Moeller B. Heck S. Hinz H. Kutterer H. Kunstmann H. Kunstmann |
| author_facet | B. Fersch A. Wagner B. Kamm E. Shehaj A. Schenk P. Yuan A. Geiger G. Moeller B. Heck S. Hinz H. Kutterer H. Kunstmann H. Kunstmann |
| author_sort | B. Fersch |
| collection | DOAJ |
| description | <p>Tropospheric water vapor is one of the most important trace gases of the Earth's climate system, and its temporal and spatial distribution is critical for the genesis of clouds and precipitation. Due to the pronounced dynamics of the atmosphere and the nonlinear relation of air temperature and saturated vapor pressure, it is highly variable, which hampers the development of high-resolution and three-dimensional maps of regional extent.
With their complementary high temporal and spatial resolutions, Global Navigation Satellite Systems (GNSS) meteorology and Interferometric Synthetic Aperture Radar (InSAR) satellite remote sensing represent a significant alternative to generally sparsely distributed radio sounding observations. In addition, data fusion with collocation and tomographical methods enables the construction of detailed maps in either two or three dimensions. Finally, by assimilation of these observation-derived datasets with dynamical regional atmospheric models, tropospheric water vapor fields can be determined with high spatial and continuous temporal resolution. In the following, a collection of basic and processed datasets, obtained with the above-listed methods, is presented that describes the state and course of atmospheric water vapor for the extent of the GNSS Upper Rhine Graben Network (GURN) region. The dataset contains hourly 2D fields of integrated water vapor (IWV) and 3D fields of water vapor density (WVD) for four multi-week, variable season periods between April 2016 and October 2018 at a spatial resolution of (2.1 km)<span class="inline-formula"><sup>2</sup></span>. Zenith total delay (ZTD) from GNSS and collocation and refractivities are provided as intermediate products. InSAR (Sentinel-1A/B)-derived double differential slant total delay phases (ddSTDPs) and GNSS-based ZTDs are available for March 2015 to July 2019. The validation of data assimilation with five independent GNSS stations for IWV shows improving Kling–Gupta efficiency (KGE) scores for all seasons, most notably for summer, with collocation data assimilation (KGE <span class="inline-formula">=</span> 0.92) versus the open-cycle simulation (KGE <span class="inline-formula">=</span> 0.69). The full dataset can be obtained from <a href="https://doi.org/10.1594/PANGAEA.936447">https://doi.org/10.1594/PANGAEA.936447</a> <span class="cit" id="xref_paren.1">(<a href="#bib1.bibx25">Fersch et al.</a>, <a href="#bib1.bibx25">2021</a>)</span>.</p> |
| first_indexed | 2024-04-12T05:42:16Z |
| format | Article |
| id | doaj.art-843098d81f974f54b7de7cbf4a8432ab |
| institution | Directory Open Access Journal |
| issn | 1866-3508 1866-3516 |
| language | English |
| last_indexed | 2024-04-12T05:42:16Z |
| publishDate | 2022-12-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj.art-843098d81f974f54b7de7cbf4a8432ab2022-12-22T03:45:36ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162022-12-01145287530710.5194/essd-14-5287-2022Tropospheric water vapor: a comprehensive high-resolution data collection for the transnational Upper Rhine Graben region B. Fersch0A. Wagner1B. Kamm2E. Shehaj3A. Schenk4P. Yuan5A. Geiger6G. Moeller7B. Heck8S. Hinz9H. Kutterer10H. Kunstmann11H. Kunstmann12Campus Alpin (IMK-IFU), Karlsruhe Institute of Technology, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany Institute of Geography (IGUA), University of Augsburg, Alter Postweg 118, 86159 Augsburg, GermanyInstitute of Photogrammetry and Remote Sensing (IPF), Karlsruhe Institute of Technology, Englerstr. 7, 76131 Karlsruhe, Germany Institute of Geodesy and Photogrammetry, ETH Zurich, Robert-Gnehm-Weg 15, 8093 Zurich, SwitzerlandInstitute of Photogrammetry and Remote Sensing (IPF), Karlsruhe Institute of Technology, Englerstr. 7, 76131 Karlsruhe, Germany Geodetic Institute (GIK), Karlsruhe Institute of Technology, Englerstr. 7, 76131 Karlsruhe, Germany Institute of Geodesy and Photogrammetry, ETH Zurich, Robert-Gnehm-Weg 15, 8093 Zurich, SwitzerlandInstitute of Geodesy and Photogrammetry, ETH Zurich, Robert-Gnehm-Weg 15, 8093 Zurich, SwitzerlandGeodetic Institute (GIK), Karlsruhe Institute of Technology, Englerstr. 7, 76131 Karlsruhe, Germany Institute of Photogrammetry and Remote Sensing (IPF), Karlsruhe Institute of Technology, Englerstr. 7, 76131 Karlsruhe, Germany Geodetic Institute (GIK), Karlsruhe Institute of Technology, Englerstr. 7, 76131 Karlsruhe, Germany Campus Alpin (IMK-IFU), Karlsruhe Institute of Technology, Kreuzeckbahnstraße 19, 82467 Garmisch-Partenkirchen, Germany Institute of Geography (IGUA), University of Augsburg, Alter Postweg 118, 86159 Augsburg, Germany<p>Tropospheric water vapor is one of the most important trace gases of the Earth's climate system, and its temporal and spatial distribution is critical for the genesis of clouds and precipitation. Due to the pronounced dynamics of the atmosphere and the nonlinear relation of air temperature and saturated vapor pressure, it is highly variable, which hampers the development of high-resolution and three-dimensional maps of regional extent. With their complementary high temporal and spatial resolutions, Global Navigation Satellite Systems (GNSS) meteorology and Interferometric Synthetic Aperture Radar (InSAR) satellite remote sensing represent a significant alternative to generally sparsely distributed radio sounding observations. In addition, data fusion with collocation and tomographical methods enables the construction of detailed maps in either two or three dimensions. Finally, by assimilation of these observation-derived datasets with dynamical regional atmospheric models, tropospheric water vapor fields can be determined with high spatial and continuous temporal resolution. In the following, a collection of basic and processed datasets, obtained with the above-listed methods, is presented that describes the state and course of atmospheric water vapor for the extent of the GNSS Upper Rhine Graben Network (GURN) region. The dataset contains hourly 2D fields of integrated water vapor (IWV) and 3D fields of water vapor density (WVD) for four multi-week, variable season periods between April 2016 and October 2018 at a spatial resolution of (2.1 km)<span class="inline-formula"><sup>2</sup></span>. Zenith total delay (ZTD) from GNSS and collocation and refractivities are provided as intermediate products. InSAR (Sentinel-1A/B)-derived double differential slant total delay phases (ddSTDPs) and GNSS-based ZTDs are available for March 2015 to July 2019. The validation of data assimilation with five independent GNSS stations for IWV shows improving Kling–Gupta efficiency (KGE) scores for all seasons, most notably for summer, with collocation data assimilation (KGE <span class="inline-formula">=</span> 0.92) versus the open-cycle simulation (KGE <span class="inline-formula">=</span> 0.69). The full dataset can be obtained from <a href="https://doi.org/10.1594/PANGAEA.936447">https://doi.org/10.1594/PANGAEA.936447</a> <span class="cit" id="xref_paren.1">(<a href="#bib1.bibx25">Fersch et al.</a>, <a href="#bib1.bibx25">2021</a>)</span>.</p>https://essd.copernicus.org/articles/14/5287/2022/essd-14-5287-2022.pdf |
| spellingShingle | B. Fersch A. Wagner B. Kamm E. Shehaj A. Schenk P. Yuan A. Geiger G. Moeller B. Heck S. Hinz H. Kutterer H. Kunstmann H. Kunstmann Tropospheric water vapor: a comprehensive high-resolution data collection for the transnational Upper Rhine Graben region Earth System Science Data |
| title | Tropospheric water vapor: a comprehensive high-resolution data collection for the transnational Upper Rhine Graben region |
| title_full | Tropospheric water vapor: a comprehensive high-resolution data collection for the transnational Upper Rhine Graben region |
| title_fullStr | Tropospheric water vapor: a comprehensive high-resolution data collection for the transnational Upper Rhine Graben region |
| title_full_unstemmed | Tropospheric water vapor: a comprehensive high-resolution data collection for the transnational Upper Rhine Graben region |
| title_short | Tropospheric water vapor: a comprehensive high-resolution data collection for the transnational Upper Rhine Graben region |
| title_sort | tropospheric water vapor a comprehensive high resolution data collection for the transnational upper rhine graben region |
| url | https://essd.copernicus.org/articles/14/5287/2022/essd-14-5287-2022.pdf |
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