59 citations as recorded by crossref.

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3. Towards operational multi-GNSS tropospheric products at GFZ Potsdam K. Wilgan et al. https://doi.org/10.5194/amt-15-21-2022
4. Assimilation of Zenith Wet Delay observations using the ensemble Kalman Filter in a Poly-ZWD empirical model over the USA M. Dehvari et al. https://doi.org/10.1016/j.jastp.2025.106589
5. Cloud-Resolving Ensemble Simulations of Mediterranean Heavy Precipitating Events: Uncertainty on Initial Conditions and Lateral Boundary Conditions B. Vié et al. https://doi.org/10.1175/2010MWR3487.1
6. Variational Bias Correction of GNSS ZTD in the HARMONIE Modeling System J. Arriola et al. https://doi.org/10.1175/JAMC-D-15-0137.1
7. Capturing the Signature of Severe Weather Events in Australia Using GPS Measurements K. Zhang et al. https://doi.org/10.1109/JSTARS.2015.2406313
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9. TOMOREF Operator for Assimilation of GNSS Tomography Wet Refractivity Fields in WRF DA System E. Trzcina et al. https://doi.org/10.1029/2020JD032451
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11. Assimilation of zenith total delays in the AROME France convective scale model: a recent assessment J. Mahfouf et al. https://doi.org/10.3402/tellusa.v67.26106
12. Assimilation of GNSS Zenith Total Delay in NAVGEM H. Christophersen et al. https://doi.org/10.1029/2022JD037502
13. Cross-Comparison and Methodological Improvement in GPS Tomography H. Brenot et al. https://doi.org/10.3390/rs12010030
14. Assimilation of global navigation satellite system (GNSS) zenith delays and tropospheric gradients: a sensitivity study utilizing sparse and dense station networks R. Thundathil et al. https://doi.org/10.5194/amt-18-4907-2025
15. Generation of real‐time mode high‐resolution water vapor fields from GPS observations C. Yu et al. https://doi.org/10.1002/2016JD025753
16. Retrieving Accurate Precipitable Water Vapor Based on GNSS Multi‐Antenna PPP With an Ocean‐Based Dynamic Experiment J. Wei et al. https://doi.org/10.1029/2023GL102982
17. Forecasting convective precipitation over northern Italy: A comparison of lightning and GNSS-ZTD data assimilation S. Federico et al. https://doi.org/10.1016/j.atmosres.2025.108687
18. The use of GNSS zenith total delays in operational AROME/Hungary 3D-Var over a central European domain M. Mile et al. https://doi.org/10.5194/amt-12-1569-2019
19. About the impact of communication channel on GNSS radiosignals propagation in the Kharkiv region S. Shchekin et al. https://doi.org/10.15407/rej2016.03.040
20. Data assimilation of GNSS zenith total delays from a Nordic processing centre M. Lindskog et al. https://doi.org/10.5194/acp-17-13983-2017
21. 4DVAR assimilation of GNSS zenith path delays and precipitable water into a numerical weather prediction model WRF W. Rohm et al. https://doi.org/10.5194/amt-12-345-2019
22. A high‐quality reprocessed ground‐based GPS dataset for atmospheric process studies, radiosonde and model evaluation, and reanalysis of HyMeX Special Observing Period O. Bock et al. https://doi.org/10.1002/qj.2701
23. Radio occultation and ground-based GNSS products for observing, understanding and predicting extreme events: A review S. Bonafoni et al. https://doi.org/10.1016/j.atmosres.2019.104624
24. Real-time tropospheric delay retrieval with GPS, GLONASS, Galileo and BDS data L. Pan & F. Guo https://doi.org/10.1038/s41598-018-35155-3
25. Assimilation of GNSS tomography products into the Weather Research and Forecasting model using radio occultation data assimilation operator N. Hanna et al. https://doi.org/10.5194/amt-12-4829-2019
26. An Observation Operator for Radar Refractivity Change: Comparison of Observations and Convective-Scale Simulations O. Caumont et al. https://doi.org/10.1007/s10546-013-9820-3
27. Impact of GNSS Signal Delay Assimilation on Short Range Weather Forecasts Over the Indian Region R. Singh et al. https://doi.org/10.1029/2019JD030866
28. Assimilation of GNSS tropospheric gradients into the Weather Research and Forecasting (WRF) model version 4.4.1 R. Thundathil et al. https://doi.org/10.5194/gmd-17-3599-2024
29. Ground-Based Water Vapor Retrieval in Antarctica: An Assessment M. Negusini et al. https://doi.org/10.1109/TGRS.2015.2509059
30. A real-time forecasting model for the spatial distribution of typhoon rainfall G. Lin & B. Jhong https://doi.org/10.1016/j.jhydrol.2014.12.009
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32. Estimation of 3D wet refractivity by tomography, combining GNSS and NWP data: First results from assimilation of wet refractivity into NWP E. Trzcina & W. Rohm https://doi.org/10.1002/qj.3475
33. 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. https://doi.org/10.5194/nhess-23-3319-2023
34. Interpretation of the Tropospheric Gradients Estimated With GPS During Hurricane Harvey V. Graffigna et al. https://doi.org/10.1029/2018EA000527
35. Assimilation of water‐vapour airborne lidar observations: impact study on the COPS precipitation forecasts S. Bielli et al. https://doi.org/10.1002/qj.1864
36. Development of an Improved Model for Prediction of Short-Term Heavy Precipitation Based on GNSS-Derived PWV H. Li et al. https://doi.org/10.3390/rs12244101
37. Hydro-meteorological evaluation of a convection-permitting ensemble prediction system for Mediterranean heavy precipitating events B. Vié et al. https://doi.org/10.5194/nhess-12-2631-2012
38. Assessment of ZWD field predictions using the dynamic mode decomposition method M. Dehvari et al. https://doi.org/10.1007/s10291-024-01692-w
39. Using global navigation satellite system data for real-time moisture analysis and forecasting over the Australian region I. The system J. Marshall et al. https://doi.org/10.1071/ES19009
40. Tropospheric water vapor: a comprehensive high-resolution data collection for the transnational Upper Rhine Graben region B. Fersch et al. https://doi.org/10.5194/essd-14-5287-2022
41. Data assimilation of GPS-ZTD into the RAMS model through 3D-Var: preliminary results at the regional scale A. Mascitelli et al. https://doi.org/10.1088/1361-6501/ab0b87
42. Impact of Turkish ground‐based GPS‐PW data assimilation on regional forecast: 8–9 March 2011 heavy snow case S. Tilev‐Tanriover & A. Kahraman https://doi.org/10.1002/asl2.482
43. Assessing the Impact of GNSS ZTD Data Assimilation into the WRF Modeling System during High-Impact Rainfall Events over Greece C. Giannaros et al. https://doi.org/10.3390/rs12030383
44. Assimilation of GNSS and Synoptic Data in a Convection Permitting Limited Area Model: Improvement of Simulated Tropospheric Water Vapor Content A. Wagner et al. https://doi.org/10.3389/feart.2022.869504
45. Seasonal heavy precipitation sensitivity to moisture corrections in the western Mediterranean across resolutions S. Khodayar & A. Caldas-Alvarez https://doi.org/10.1016/j.atmosres.2022.106429
46. 14 years of GPS tropospheric delays in the French–Italian border region: comparisons and first application in a case study D. Sguerso et al. https://doi.org/10.1007/s12518-015-0158-z
47. Spatial–temporal variations of water vapor content over Ethiopia: a study using GPS observations and the ECMWF model K. Abraha et al. https://doi.org/10.1007/s10291-015-0508-7
48. The Concept of Operational Near Real-Time GNSS Meteorology System for Atmospheric Water Vapour Monitoring over Peninsular Malaysia M. Norazmi et al. https://doi.org/10.1007/s13369-014-1481-0
49. Fast Data-Obtaining Algorithm for Data Assimilation with Large Data Set J. Xiao et al. https://doi.org/10.1007/s10766-019-00653-y
50. GPS – Zenith Total Delay assimilation in different resolution simulations of a heavy precipitation event over southern France A. Caldas-Álvarez et al. https://doi.org/10.5194/asr-14-157-2017
51. The benefit of GPS zenith delay assimilation to high‐resolution quantitative precipitation forecasts: a case‐study from COPS IOP 9 X. Yan et al. https://doi.org/10.1002/qj.508
52. High‐resolution simulation over central Europe: assimilation experiments during COPS IOP 9c T. Schwitalla et al. https://doi.org/10.1002/qj.721
53. Operational Assimilation of GPS Zenith Total Delay Observations into the Met Office Numerical Weather Prediction Models G. Bennitt & A. Jupp https://doi.org/10.1175/MWR-D-11-00156.1
54. 2D PWV monitoring of a wide and orographically complex area with a low dense GNSS network I. Ferrando et al. https://doi.org/10.1186/s40623-018-0824-6
55. 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. https://doi.org/10.5194/angeo-37-25-2019
56. Assimilation of anisotropic GNSS observations in the WRF model: preliminary results of the NEW-ARGENT project R. Torcasio et al. https://doi.org/10.1007/s12210-025-01399-1
57. Potential of shipborne GPS atmospheric delay data for prediction of Mediterranean intense weather events K. Boniface et al. https://doi.org/10.1002/asl.391
58. Characteristics and Effects of Ground-Based GNSS Zenith Total Delay Observation Errors in the Convective-Scale Model E. KIM et al. https://doi.org/10.2151/jmsj.2019-056
59. High-resolution models of tropospheric delays and refractivity based on GNSS and numerical weather prediction data for alpine regions in Switzerland K. Wilgan & A. Geiger https://doi.org/10.1007/s00190-018-1203-6