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An enhanced integrated water vapour dataset from more than 10 000 global ground-based GPS stations in 2020

Yuan, Peng 1; Blewitt, Geoffrey; Kreemer, Corné; Hammond, William C.; Argus, Donald; Yin, Xungang; Malderen, Roeland, Van; Mayer, Michael 1; Jiang, Weiping; Awange, Joseph; Kutterer, Hansjörg 1
1 Geodätisches Institut (GIK), Karlsruher Institut für Technologie (KIT)

Abstract:

We developed a high-quality global integrated water vapour (IWV) dataset from 12 552 ground-based global positioning system (GPS) stations in 2020. It consists of 5 min GPS IWV estimates with a total number of 1 093 591 492 data points. The completeness rates of the IWV estimates are higher than 95 % at 7253 (58 %) stations. The dataset is an enhanced version of the existing operational GPS IWV dataset provided by the Nevada Geodetic Laboratory (NGL). The enhancement is reached by employing accurate meteorological information from the fifth generation of European ReAnalysis (ERA5) for the GPS IWV retrieval with a significantly higher spatiotemporal resolution. A dedicated data screening algorithm is also implemented. The GPS IWV dataset has a good agreement with in situ radiosonde observations at 182 collocated stations worldwide. The IWV biases are within ±3.0 kg m−2 with a mean absolute bias (MAB) value of 0.69 kg m−2. The standard deviations (SD) of IWV differences are no larger than 3.4 kg m−2. In addition, the enhanced IWV product shows substantial improvements compared to NGL's operational version, and it is thus recommended for high-accuracy applications, such as research of extreme weather events and diurnal variations of IWV and intercomparisons with other IWV retrieval techniques. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000156015
Veröffentlicht am 15.02.2023
Originalveröffentlichung
DOI: 10.5194/essd-15-723-2023
Scopus
Zitationen: 25
Web of Science
Zitationen: 18
Dimensions
Zitationen: 23
Cover der Publikation
Zugehörige Institution(en) am KIT Geodätisches Institut (GIK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 1866-3516
KITopen-ID: 1000156015
Erschienen in Earth System Science Data
Verlag Copernicus Publications
Band 15
Heft 2
Seiten 723–743
Vorab online veröffentlicht am 10.02.2023
Schlagwörter GNSS, IWV
Nachgewiesen in Web of Science
Dimensions
Scopus
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