Preprints
https://doi.org/10.5194/essd-2022-274
https://doi.org/10.5194/essd-2022-274
 
28 Oct 2022
28 Oct 2022
Status: this preprint is currently under review for the journal ESSD.

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

Peng Yuan1, Geoffrey Blewitt2, Corné Kreemer2, William C. Hammond2, Donald Argus3, Xungang Yin4, Roeland Van Malderen5, Michael Mayer1, Weiping Jiang6, Joseph Awange7, and Hansjörg Kutterer1 Peng Yuan et al.
  • 1Karlsruhe Institute of Technology, Geodetic Institute, Karlsruhe, BW, Germany
  • 2Nevada Bureau of Mines and Geology, University of Nevada, Reno, NV, USA
  • 3Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
  • 4NOAA National Centers for Environmental Information, Asheville, NC, USA
  • 5Royal Meteorological Institute of Belgium, Brussels, Belgium
  • 6Wuhan University, GNSS Research Center, Wuhan, China
  • 7Curtin University, School of Earth and Planetary Sciences, Perth, Australia

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 datapoints. 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 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. Taking the radiosonde-derived IWV as reference, the MAB and SD of IWV differences are reduced by 19.5 % and 6.2 % on average, respectively. The number of unrealistic negative GPS IWV estimates are also substantially reduced by 92.4 % owing to the accurate Zenith Hydrostatic Delay (ZHD) derived by ERA5. The dataset is available at: https://doi.org/10.5281/zenodo.6973528 (Yuan et al., 2022).

Peng Yuan et al.

Status: open (until 23 Dec 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-274', Anonymous Referee #1, 28 Oct 2022 reply
  • RC2: 'Comment on essd-2022-274', Anonymous Referee #2, 14 Nov 2022 reply
  • RC3: 'Comment on essd-2022-274', Anonymous Referee #3, 19 Nov 2022 reply

Peng Yuan et al.

Data sets

An enhanced integrated water vapour dataset from more than 10,000 global ground-based GPS stations in 2020 Yuan, Peng; Blewitt, Geoffrey; Kreemer, Corné; Hammond, William C.; Argus, Donald; Yin, Xungang; Van Malderen, Roeland; Mayer, Michael; Jiang, Weiping; Awange, Joseph; Kutterer, Hansjörg https://doi.org/10.5281/zenodo.6973528

Peng Yuan et al.

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Short summary
We developed a 5-min global Integrated Water Vapor (IWV) product from 12,552 ground-based GPS stations in 2020. It contains more than one billion of IWV estimates. The dataset is an enhanced version of the existing operational GPS IWV dataset from Nevada Geodetic Laboratory. The enhancement is reached by using accurate meteorological information from ERA5 for the GPS IWV retrieval with a significantly higher spatiotemporal resolution. The dataset is recommended for high-accuracy applications.