Articles | Volume 12, issue 1
https://doi.org/10.5194/amt-12-345-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-12-345-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Jan 2019
Research article |
| 18 Jan 2019
4DVAR assimilation of GNSS zenith path delays and precipitable water into a numerical weather prediction model WRF
Institute of Geodesy and Geoinformatics, Wrocław University of
Environmental and Life Sciences, Wrocław, 50-357, Poland
Jakub Guzikowski
Institute of Geophysics, Polish Academy of Sciences, 01-452 Warsaw, Poland
Karina Wilgan
Institute of Geodesy and Geoinformatics, Wrocław University of
Environmental and Life Sciences, Wrocław, 50-357, Poland
Institute of Geodesy and Photogrammetry, ETH Zürich, Zürich,
8093, Switzerland
Maciej Kryza
Institute of Geography and Regional Development, University of
Wrocław, Wrocław, 50-137, Poland
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Cited
17 citations as recorded by crossref.
- Radio occultation and ground-based GNSS products for observing, understanding and predicting extreme events: A review S. Bonafoni et al. 10.1016/j.atmosres.2019.104624
- On the Potential of Improving WRF Model Forecasts by Assimilation of High-Resolution GPS-Derived Water-Vapor Maps Augmented with METEOSAT-11 Data A. Leontiev et al. 10.3390/rs13010096
- A New Cumulative Anomaly-Based Model for the Detection of Heavy Precipitation Using GNSS-Derived Tropospheric Products H. Li et al. 10.1109/TGRS.2021.3137014
- Impact of GNSS Signal Delay Assimilation on Short Range Weather Forecasts Over the Indian Region R. Singh et al. 10.1029/2019JD030866
- Investigation of Antarctic Precipitable Water Vapor Variability and Trend from 18 Year (2001 to 2018) Data of Four Reanalyses Based on Radiosonde and GNSS Observations Z. Mo et al. 10.3390/rs13193901
- Copula-based modeling of dependence structure in geodesy and GNSS applications: case study for zenith tropospheric delay in complex terrain R. Mousavian et al. 10.1007/s10291-020-01044-4
- A New Method for Determining an Optimal Diurnal Threshold of GNSS Precipitable Water Vapor for Precipitation Forecasting H. Li et al. 10.3390/rs13071390
- TOMOREF Operator for Assimilation of GNSS Tomography Wet Refractivity Fields in WRF DA System E. Trzcina et al. 10.1029/2020JD032451
- Assimilation of shipborne precipitable water vapour by Global Navigation Satellite Systems for extreme precipitation events Y. Ikuta et al. 10.1002/qj.4192
- Towards operational multi-GNSS tropospheric products at GFZ Potsdam K. Wilgan et al. 10.5194/amt-15-21-2022
- Comparison of tropospheric parameters from Meteodrone measurements with GNSS estimates from ground-based stations K. Wilgan et al. 10.1016/j.asr.2020.04.019
- GPS-ZTD data assimilation and its impact on wintertime haze prediction over North China Plain using WRF 3DVAR and CMAQ modeling system L. Gao et al. 10.1007/s11356-021-15248-9
- An Observational Study of GPS-Derived Integrated Water Vapor over India K. Gopalan et al. 10.3390/atmos12101303
- Estimation of integrated water vapor derived from Global Navigation Satellite System observations over Central-Western Argentina (2015–2018). Validation and usefulness for the understanding of regional precipitation events M. Camisay et al. 10.1016/j.jastp.2019.105143
- Assessing the Impact of GNSS ZTD Data Assimilation into the WRF Modeling System during High-Impact Rainfall Events over Greece C. Giannaros et al. 10.3390/rs12030383
- Detecting heavy rainfall using anomaly-based percentile thresholds of predictors derived from GNSS-PWV H. Li et al. 10.1016/j.atmosres.2021.105912
- A Comparison Between Ray-Traced GFS/WRF/ERA and GNSS Slant Path Delays in Tropical Cyclone Meranti E. Lasota et al. 10.1109/TGRS.2019.2936785
17 citations as recorded by crossref.
- Radio occultation and ground-based GNSS products for observing, understanding and predicting extreme events: A review S. Bonafoni et al. 10.1016/j.atmosres.2019.104624
- On the Potential of Improving WRF Model Forecasts by Assimilation of High-Resolution GPS-Derived Water-Vapor Maps Augmented with METEOSAT-11 Data A. Leontiev et al. 10.3390/rs13010096
- A New Cumulative Anomaly-Based Model for the Detection of Heavy Precipitation Using GNSS-Derived Tropospheric Products H. Li et al. 10.1109/TGRS.2021.3137014
- Impact of GNSS Signal Delay Assimilation on Short Range Weather Forecasts Over the Indian Region R. Singh et al. 10.1029/2019JD030866
- Investigation of Antarctic Precipitable Water Vapor Variability and Trend from 18 Year (2001 to 2018) Data of Four Reanalyses Based on Radiosonde and GNSS Observations Z. Mo et al. 10.3390/rs13193901
- Copula-based modeling of dependence structure in geodesy and GNSS applications: case study for zenith tropospheric delay in complex terrain R. Mousavian et al. 10.1007/s10291-020-01044-4
- A New Method for Determining an Optimal Diurnal Threshold of GNSS Precipitable Water Vapor for Precipitation Forecasting H. Li et al. 10.3390/rs13071390
- TOMOREF Operator for Assimilation of GNSS Tomography Wet Refractivity Fields in WRF DA System E. Trzcina et al. 10.1029/2020JD032451
- Assimilation of shipborne precipitable water vapour by Global Navigation Satellite Systems for extreme precipitation events Y. Ikuta et al. 10.1002/qj.4192
- Towards operational multi-GNSS tropospheric products at GFZ Potsdam K. Wilgan et al. 10.5194/amt-15-21-2022
- Comparison of tropospheric parameters from Meteodrone measurements with GNSS estimates from ground-based stations K. Wilgan et al. 10.1016/j.asr.2020.04.019
- GPS-ZTD data assimilation and its impact on wintertime haze prediction over North China Plain using WRF 3DVAR and CMAQ modeling system L. Gao et al. 10.1007/s11356-021-15248-9
- An Observational Study of GPS-Derived Integrated Water Vapor over India K. Gopalan et al. 10.3390/atmos12101303
- Estimation of integrated water vapor derived from Global Navigation Satellite System observations over Central-Western Argentina (2015–2018). Validation and usefulness for the understanding of regional precipitation events M. Camisay et al. 10.1016/j.jastp.2019.105143
- Assessing the Impact of GNSS ZTD Data Assimilation into the WRF Modeling System during High-Impact Rainfall Events over Greece C. Giannaros et al. 10.3390/rs12030383
- Detecting heavy rainfall using anomaly-based percentile thresholds of predictors derived from GNSS-PWV H. Li et al. 10.1016/j.atmosres.2021.105912
- A Comparison Between Ray-Traced GFS/WRF/ERA and GNSS Slant Path Delays in Tropical Cyclone Meranti E. Lasota et al. 10.1109/TGRS.2019.2936785
Latest update: 25 Mar 2023
Short summary
Assimilation of satellite navigation data into a popular weather model is yet another example of how to turn non-meteorological data into valuable information about the current state of the troposphere. Results show that observations from ground-based GPS receivers can improve humidity and rain forecasts in most severe weather events. It is another reason to extend the adoption of GPS data into weather forecasting across Europe.
Assimilation of satellite navigation data into a popular weather model is yet another example of...
