Water Vapor Fields by Collocation of GNSS zenith total delays and InSAR relative slant delays in the Upper Rhine Graben region

DOI

The collocation method was used to compute water vapor fields for the Upper Rhine Graben (URG) region from GNSS zenith total delays (ZTDs) and InSAR double difference slant delays (ddSTDs). Furthermore, mean temperature from ERA data was used for the conversion of GNSS ZTDs into IWV. The input data are hourly GNSS tropospheric parameters from the GURN (GNSS Upper Rhine Graben network) network for 4 different seasons in the period 2016-2018, as well as ddSTDs for 168 InSAR acquisition epochs of the Sentinel 1A+B satellites. In total, our dataset includes 2D fields of integrated water vapor (IWV) and zenith total delays (ZTDs) as well as 3D 'tomographic' products in form of refractivity fields. For 4 specific seasonal periods, also hourly water vapor density fields are provided by exploiting the relations between IWV and water vapor density in the collocation scheme. The tropospheric fields are provided for the horizontal WRF grid of data assimilation subset of this joint data collection, whereas the 3D fields are computed up to 8 km height for 16 equally distributed layers.

Identifier
DOI https://doi.org/10.1594/PANGAEA.936445
Related Identifier IsPartOf https://doi.org/10.1594/PANGAEA.936447
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.936445
Provenance
Creator Shehaj, Endrit ORCID logo; Möller, Gregor ORCID logo; Yuan, Peng ORCID logo; Kamm, Bettina; Geiger, Alain
Publisher PANGAEA
Contributor Fersch, Benjamin
Publication Year 2021
Funding Reference German Research Foundation https://doi.org/10.13039/501100001659 Crossref Funder ID 321886779 High-Resolution Atmospheric Water Vapor Fields by Spaceborne Geodetic Sensing, Tomographic Fusion, and Atmospheric Modeling
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 114 data points
Discipline Earth System Research
Spatial Coverage (9.000 LON, 50.000 LAT)