Articles | Volume 17, issue 14
https://doi.org/10.5194/amt-17-4303-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-4303-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Jul 2024
Research article |
| 19 Jul 2024
| 19 Jul 2024
Determination of high-precision tropospheric delays using crowdsourced smartphone GNSS data
Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich, Switzerland
Grzegorz Kłopotek
Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich, Switzerland
Laura Crocetti
Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich, Switzerland
Rudi Weinacker
International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
Tobias Sturn
International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
Linda See
International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
Galina Dick
GFZ German Research Centre for Geosciences, Potsdam, Germany
Gregor Möller
Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria
Markus Rothacher
Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich, Switzerland
Ian McCallum
International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
Vicente Navarro
European Space Agency, European Space Astronomy Center, Madrid, Spain
Benedikt Soja
Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich, Switzerland
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The assimilation of GNSS data in weather models has a positive impact on the forecasts. The impact is still limited due to using only the GPS zenith direction parameters. We calculate and validate more advanced tropospheric products from three satellite systems: the US American GPS, Russian GLONASS and European Galileo. The quality of all the solutions is comparable; however, combining more GNSS systems enhances the observations' geometry and improves the quality of the weather forecasts.
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Short summary
Crowdsourced smartphone GNSS data were processed with a dedicated data processing pipeline and could produce millimeter-level accurate estimates of zenith total delay (ZTD) – a critical atmospheric variable. This breakthrough not only demonstrates the feasibility of using ubiquitous devices for high-precision atmospheric monitoring but also underscores the potential for a global, cost-effective tropospheric monitoring network.
Crowdsourced smartphone GNSS data were processed with a dedicated data processing pipeline and...
