Articles | Volume 15, issue 2
https://doi.org/10.5194/essd-15-723-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-723-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An enhanced integrated water vapour dataset from more than 10 000 global ground-based GPS stations in 2020
Karlsruhe Institute of Technology, Geodetic Institute, Karlsruhe, BW, Germany
Geoffrey Blewitt
Nevada Bureau of Mines and Geology, University of Nevada, Reno, NV, USA
Corné Kreemer
Nevada Bureau of Mines and Geology, University of Nevada, Reno, NV, USA
William C. Hammond
Nevada Bureau of Mines and Geology, University of Nevada, Reno, NV, USA
Donald Argus
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Xungang Yin
NOAA National Centers for Environmental Information, Asheville, NC, USA
Roeland Van Malderen
Royal Meteorological Institute of Belgium, Brussels, Belgium
Michael Mayer
Karlsruhe Institute of Technology, Geodetic Institute, Karlsruhe, BW, Germany
Weiping Jiang
GNSS Research Center, Wuhan University, Wuhan, China
Joseph Awange
School of Earth and Planetary Sciences, Curtin University, Perth,
Australia
Hansjörg Kutterer
Karlsruhe Institute of Technology, Geodetic Institute, Karlsruhe, BW, Germany
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57 citations as recorded by crossref.
- Global Detection, Geolocation, and Analysis of Terrestrial GPS RFI Using Spaceborne GNSS-R Receivers M. Al-Khaldi et al.
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- Independent Validation of Total Precipitable Water From Morphed Integrated Microwave Imagery at CIMSS: A Global Study Using GNSS and Radiosonde Measurements J. Xu et al.
- Tropospheric water vapor retrievals by Ground-Based GNSS in Africa: A systematic review M. Tine et al.
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- A segment-based approach for global vertical adjustment of precipitable water vapor M. Lin et al.
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- Global, spatially explicit modelling of zenith wet delay with XGBoost L. Crocetti et al.
- Long-sequence deep learning frameworks for multivariate forecasting of tropospheric parameters M. Bezcioglu
- Analysis of Different Height Correction Models for Tropospheric Delay Grid Products over the Yunnan Mountains F. Zhou et al.
- A Noise Reduction Approach for Improve North American Regional Sea Level Change from Satellite and In Situ Observations X. He et al.
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- Integrating near-infrared, thermal infrared, and microwave satellite observations to retrieve high-resolution precipitable water vapor Z. Du et al.
- A Novel Method for Forecasting Global High-Resolution Precipitable Water Vapor With the Pangu-Weather System L. Huang et al.
- Real-time high-precision zenith tropospheric delay stable mapping strategy for sparse stations H. Yang et al.
- Tropospheric delay retrieval using cost-effective single-frequency GNSS receivers with established reference stations J. Wu et al.
- Unraveling the Accuracy Enigma: Investigating ZTD Data Precision in TUW-VMF3 and GFZ-VMF3 Products Using a Comprehensive Global GPS Dataset J. Li et al.
- Detection and Analysis of GPS L1-Band Radio Frequency Interference Using Spaceborne Global Navigation Satellite System Reflectometry Receivers M. Al-Khaldi et al.
- Real-Time High-Resolution Global PWV Retrieval Based on Weather Forecast Foundation Models and Cross-Validation With Radiosonde, GNSS, and ERA5 J. Ding et al.
- ZWDX: a global zenith wet delay forecasting model using XGBoost L. Crocetti et al.
- Forecasting of Tropospheric Delay Using AI Foundation Models in Support of Microwave Remote Sensing J. Ding et al.
- A random forest-based combinatorial optimization model for altitude-dependent vertical correction of precipitable water vapor in China H. Zhu et al.
- Evaluation of Tropospheric Delays over China from the High-Resolution Pangu-Weather Model at Multiple Forecast Scales S. Li et al.
- Troposphere Sensing Using Grazing‐Angle GNSS‐R Measurement From LEO Satellites Y. Wang
- A rapid ray tracing method to evaluate the performances of ERA5 and MERRA2 in retrieving global tropospheric delay M. Zhang et al.
- Retrieving Precipitable Water Vapor Over Land From Satellite Passive Microwave Radiometer Measurements Using Automated Machine Learning X. Xia et al.
- Real-Time Retrieval of All-Weather Weighted Mean Temperature From FengYun-4A Observations Z. Du et al.
- Empirical modeling of tropospheric delays with uncertainty J. Wang et al.
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- Novel Validation and Calibration Strategy for Total Precipitable Water Products of Fengyun-2 Geostationary Satellites Z. Du et al.
- Retrieving atmospheric water vapor profiles over Europe combining NOAA-20/CrIS and ground-based GNSS-PWV data J. Zhang et al.
- TransXLT: A novel ZTD prediction method with SASR-based data reconstruction . Shicheng Xie et al.
- Real-time tropospheric delay map retrieval using sparse GNSS stations Z. Du et al.
- Decadal All-sky Terrestrial Precipitable Water Vapor Dataset from FengYun Microwave Imagers X. Xia et al.
- A stacking ensemble learning approach for enhancing global real-time zenith total delay modeling using global forecast system forecasts X. Gao et al.
- Retrieving all-weather precipitable water vapor using near-infrared and thermal infrared observations Z. Du et al.
- Biomimetic materials for fog harvesting: Prospects and challenges J. Gunarasan & J. Lee
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Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
We developed a 5 min global integrated water vapour (IWV) product from 12 552 ground-based GPS stations in 2020. It contains more than 1 billion IWV estimates. The dataset is an enhanced version of the existing operational GPS IWV dataset from the 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.
We developed a 5 min global integrated water vapour (IWV) product from 12 552 ground-based GPS...
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