22 citations as recorded by crossref.

1. Detection of water vapor time variations associated with heavy rain in northern Italy by geodetic and low-cost GNSS receivers S. Barindelli et al. 10.1186/s40623-018-0795-7
2. Impact of GNSS Signal Delay Assimilation on Short Range Weather Forecasts Over the Indian Region R. Singh et al. 10.1029/2019JD030866
3. Spatiotemporal Statistical Analysis of Slant Wet Delays From Ground-Based GNSS Stations Over China J. Bai et al. 10.1109/JSTARS.2025.3593287
4. 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
5. Review of the state of the art and future prospects of the ground-based GNSS meteorology in Europe G. Guerova et al. 10.5194/amt-9-5385-2016
6. The use of GNSS zenith total delays in operational AROME/Hungary 3D-Var over a central European domain M. Mile et al. 10.5194/amt-12-1569-2019
7. Retrieving the 3-D Tropospheric Wet Refractivity Field From a Standalone Ground-Based GNSS Station With A Priori Information: Theory and Simulation X. Li et al. 10.1109/TGRS.2024.3412689
8. Variability of the Tropospheric-Delay Temporal Structure Function of Radio Signals from the Global Navigation Satellite Systems Versus Tropospheric Surface Layer Parameters V. Khutorov et al. 10.1007/s11141-016-9704-8
9. 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
10. Forecast impact studies of zenith total delay data from European near real‐time GPS stations in Météo France 4DVAR P. Poli et al. 10.1029/2006JD007430
11. Operational Assimilation of GPS Zenith Total Delay Observations into the Met Office Numerical Weather Prediction Models G. Bennitt & A. Jupp 10.1175/MWR-D-11-00156.1
12. Impact of GPS zenith delay assimilation on convective‐scale prediction of Mediterranean heavy rainfall X. Yan et al. 10.1029/2008JD011036
13. A multi hazard extreme weather event in Southern Italy: Assessment and sensitivity tests of the WRF model E. Avolio et al. 10.1016/j.atmosres.2024.107827
14. Analysis of GNSS sensed precipitable water vapour and tropospheric gradients during the derecho event in Poland of 11th August 2017 G. Nykiel et al. 10.1016/j.jastp.2019.105082
15. InSAR Water Vapor Data Assimilation into Mesoscale Model MM5: Technique and Pilot Study E. Pichelli et al. 10.1109/JSTARS.2014.2357685
16. Comparisons between the WRF data assimilation and the GNSS tomography technique in retrieving 3-D wet refractivity fields in Hong Kong Z. Xiong et al. 10.5194/angeo-37-25-2019
17. Comparisons of Performance Using Data Assimilation and Data Fusion Approaches in Acquiring Precipitable Water Vapor: A Case Study of a Western United States of America Area Z. Xiong et al. 10.3390/w12102943
18. INVESTIGATION OF THE EFFECT OF ANNUAL AVERAGE TEMPERATURE AND PRECIPITATION CHANGES ON CORS-TR STATIONS: THE CASE OF KSTM STATION A. Acar et al. 10.36306/konjes.1517144
19. Remote sensing of atmospheric water vapor variation from GPS measurements during a severe weather event D. Song & D. Grejner-Brzezinska 10.1186/BF03352964
20. Data assimilation of GPS-ZTD into the RAMS model through 3D-Var: preliminary results at the regional scale A. Mascitelli et al. 10.1088/1361-6501/ab0b87
21. Satellite-Based Retrieval of Precipitable Water Vapor Over Land by Using a Neural Network Approach S. Bonafoni et al. 10.1109/TGRS.2011.2160184
22. Impact of Turkish ground‐based GPS‐PW data assimilation on regional forecast: 8–9 March 2011 heavy snow case S. Tilev‐Tanriover & A. Kahraman 10.1002/asl2.482