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.
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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45 citations as recorded by crossref.
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- Investigating the Inter-Relationships among Multiple Atmospheric Variables and Their Responses to Precipitation H. Li et al. 10.3390/atmos14030571
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45 citations as recorded by crossref.
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- 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
- Parameterisation of the GNSS troposphere tomography domain with optimisation of the nodes’ distribution E. Trzcina et al. 10.1007/s00190-022-01691-0
- The impact of global navigation satellite system (GNSS) zenith total delay data assimilation on the short-term precipitable water vapor and precipitation forecast over Italy using the Weather Research and Forecasting (WRF) model R. Torcasio et al. 10.5194/nhess-23-3319-2023
- Machine learning-based retrieval of total column water vapor over land using GMI-sensed passive microwave measurements J. Xu & Z. Liu 10.1080/15481603.2024.2385180
- Assessment of BDS-3 PPP-B2b Service and Its Applications for the Determination of Precipitable Water Vapour X. Wang et al. 10.3390/atmos15091048
- 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
- A Gradient Boosting Decision Tree Based Correction Model for AIRS Infrared Water Vapor Product J. Xu & Z. Liu 10.1029/2023GL104072
- Assimilating Sentinel‐3 All‐Sky PWV Retrievals to Improve the WRF Forecasting Performance Over the South China Y. Gong et al. 10.1029/2022JD037979
- A Linear Regression of Differential PWV Calibration Model to Improve the Accuracy of MODIS NIR All-Weather PWV Products Based on Ground-Based GPS PWV Data J. Xu & Z. Liu 10.1109/JSTARS.2022.3204823
- 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
- Near-real-time GNSS tropospheric IWV monitoring system for South America J. Aragón Paz et al. 10.1007/s10291-023-01436-2
- Enhanced Troposphere Tomography: Integration of GNSS and Remote Sensing Data With Optimal Vertical Constraints S. Izanlou et al. 10.1109/JSTARS.2024.3354884
- 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
- Assimilation of GNSS and Synoptic Data in a Convection Permitting Limited Area Model: Improvement of Simulated Tropospheric Water Vapor Content A. Wagner et al. 10.3389/feart.2022.869504
- 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
- STCFCM: A Spatial and Temporal Cloud Fraction-Based Calibration Method for Satellite-Derived Near-Infrared Water Vapor Product J. Xu & Z. Liu 10.1109/TGRS.2024.3382312
- Novel Validation and Calibration Strategy for Total Precipitable Water Products of Fengyun-2 Geostationary Satellites Z. Du et al. 10.1109/TGRS.2023.3295091
- Assimilation of GNSS Zenith Total Delay in NAVGEM H. Christophersen et al. 10.1029/2022JD037502
- The Evaluation of Rainfall Forecasting in a Global Navigation Satellite System-Assisted Numerical Weather Prediction Model H. Guo et al. 10.3390/atmos15080992
- 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
- Assimilation of ground-based GNSS data using a local ensemble Kalman filter C. Shao & L. Nerger 10.1038/s41598-024-72915-w
- A Back Propagation Neural Network-Based Calibration Approach for Sentinel-3 OLCI Near-Infrared Water Vapor Product J. Xu & Z. Liu 10.1109/LGRS.2023.3235983
- 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
- Analysis of GNSS-ZTD retrieval using dual-frequency raw observations Y. Fan et al. 10.1016/j.measurement.2024.114597
- 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
- Estimation of the water vapor field by fusing GPS and surface meteorological observations on the Loess Plateau of China L. Yang et al. 10.1007/s10291-023-01599-y
- An Observational Study of GPS-Derived Integrated Water Vapor over India K. Gopalan et al. 10.3390/atmos12101303
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- Investigating the Inter-Relationships among Multiple Atmospheric Variables and Their Responses to Precipitation H. Li et al. 10.3390/atmos14030571
- Seasonal and annual variations of the GPS-based precipitable water vapor over Sumatra, Indonesia D. Wijaya et al. 10.1016/j.atmosres.2022.106216
- WRF data assimilation of weather stations and lightning data for a convective event in northern Italy E. Maggioni et al. 10.1007/s42865-023-00061-8
Latest update: 14 Dec 2024
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...