42 citations as recorded by crossref.

1. Sensitivity of GNSS tropospheric gradients to processing options M. Kačmařík et al. 10.5194/angeo-37-429-2019
2. Densification of the Ground-Based GNSS Observation Network in the Southwest Indian Ocean: Current Status, Perspectives, and Examples of Applications in Meteorology and Geodesy O. Bousquet et al. 10.3389/feart.2020.566105
3. A Model for the Relationship between Rainfall, GNSS-Derived Integrated Water Vapour, and CAPE in the Eastern Central Andes M. Ramezani Ziarani et al. 10.3390/rs13183788
4. A GPS network for tropospheric tomography in the framework of the Mediterranean hydrometeorological observatory Cévennes-Vivarais (southeastern France) H. Brenot et al. 10.5194/amt-7-553-2014
5. Ground-based GNSS network and integrated water vapor mapping during the development of severe storms at the Cuyo region (Argentina) A. Calori et al. 10.1016/j.atmosres.2016.03.002
6. Development of an Improved Model for Prediction of Short-Term Heavy Precipitation Based on GNSS-Derived PWV H. Li et al. 10.3390/rs12244101
7. On the information content in linear horizontal delay gradients estimated from space geodesy observations G. Elgered et al. 10.5194/amt-12-3805-2019
8. 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
9. Rainfall Forecasting Using GPS-Derived Atmospheric Gradient and Residual for Tropical Region A. Naha Biswas et al. 10.1109/TGRS.2021.3131217
10. Thunderstorm Classification Functions Based on Instability Indices and GNSS IWV for the Sofia Plain G. Guerova et al. 10.3390/rs11242988
11. Multiscale Spatiotemporal Variations of GNSS-Derived Precipitable Water Vapor over Yunnan M. Wang et al. 10.3390/rs16020412
12. Machine Learning-Based Wet Refractivity Prediction Through GNSS Troposphere Tomography for Ensemble Troposphere Conditions Forecasting S. Haji-Aghajany et al. 10.1109/TGRS.2024.3417487
13. Tropospheric parameters from multi-GNSS and numerical weather models: case study of severe precipitation and flooding in Germany in July 2021 K. Wilgan et al. 10.1007/s10291-022-01379-0
14. Data formats and standards for opportunistic rainfall sensors M. Fencl et al. 10.12688/openreseurope.16068.1
15. An adaptive Kalman filter based on variance component estimation for a real-time ZTD solution X. Yang et al. 10.1007/s40328-019-00247-7
16. On the quality of tropospheric estimates from low-cost GNSS receiver data processing K. Stępniak & J. Paziewski 10.1016/j.measurement.2022.111350
17. Preliminary result of capturing the signature of heavy rainfall events using the 2-d-/4-d water vapour information derived from GNSS measurement in Hong Kong Q. Zhao et al. 10.1016/j.asr.2020.06.013
18. Assimilation of GNSS tropospheric gradients into the Weather Research and Forecasting (WRF) model version 4.4.1 R. Thundathil et al. 10.5194/gmd-17-3599-2024
19. Constructing a precipitable water vapor map from regional GNSS network observations without collocated meteorological data for weather forecasting B. Chen et al. 10.5194/amt-11-5153-2018
20. A Refined Zenith Tropospheric Delay Model Based on a Generalized Regression Neural Network and the GPT3 Model in Europe M. Wei et al. 10.3390/atmos14121727
21. 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
22. Data formats and standards for opportunistic rainfall sensors M. Fencl et al. 10.12688/openreseurope.16068.2
23. Seasonal and annual variations of the GPS-based precipitable water vapor over Sumatra, Indonesia D. Wijaya et al. 10.1016/j.atmosres.2022.106216
24. Detecting Water Vapor Variability during Heavy Precipitation Events in Hong Kong Using the GPS Tomographic Technique B. Chen et al. 10.1175/JTECH-D-16-0115.1
25. Effects of Strong Convection in Summer on Atmospheric Characteristics Derived from GNSS Monitoring Data O. Khutorova et al. 10.1134/S1024856024700520
26. Machine learning-based prediction of Alpine foehn events using GNSS troposphere products: first results for Altdorf, Switzerland M. Aichinger-Rosenberger et al. 10.5194/amt-15-5821-2022
27. 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
28. Combined Space- and Ground-Based GNSS Monitoring of Two Severe Hailstorm Cases in Bulgaria E. Lasota et al. 10.1175/JTECH-D-21-0100.1
29. Fast Observation Operator for Global Navigation Satellite System Tropospheric Gradients F. Zus et al. 10.3390/rs15215114
30. GNSS Meteorology for Disastrous Rainfalls in 2017–2019 Summer in SW Japan: A New Approach Utilizing Atmospheric Delay Gradients S. Arief & K. Heki 10.3389/feart.2020.00182
31. Inter-technique validation of tropospheric slant total delays M. Kačmařík et al. 10.5194/amt-10-2183-2017
32. Regional/Single Station Zenith Tropospheric Delay Combination Prediction Model Based on Radial Basis Function Neural Network and Improved Long Short-Term Memory X. Yang et al. 10.3390/atmos14020303
33. Improving GNSS Zenith Wet Delay Interpolation by Utilizing Tropospheric Gradients: Experiments with a Dense Station Network in Central Europe in the Warm Season F. Zus et al. 10.3390/rs11060674
34. Long-range transport of Xe-133 emissions under convective and non-convective conditions J. Kuśmierczyk-Michulec et al. 10.1016/j.jenvrad.2017.05.005
35. Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors P. Benevides et al. 10.3390/rs11080966
36. 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
37. Validity and behaviour of tropospheric gradients estimated by GPS in Corsica L. Morel et al. 10.1016/j.asr.2014.10.004
38. The usefulness of the Global Navigation Satellite Systems (GNSS) in the analysis of precipitation events S. Bonafoni & R. Biondi 10.1016/j.atmosres.2015.07.011
39. Residuals of Tropospheric Delays from GNSS Data and Ray-Tracing as a Potential Indicator of Rain and Clouds P. Hordyniec et al. 10.3390/rs10121917
40. On the relation between GPS tropospheric gradients and the local topography L. Morel et al. 10.1016/j.asr.2021.04.008
41. The Amazon Dense GNSS Meteorological Network: A New Approach for Examining Water Vapor and Deep Convection Interactions in the Tropics D. Adams et al. 10.1175/BAMS-D-13-00171.1
42. Cross-Comparison and Methodological Improvement in GPS Tomography H. Brenot et al. 10.3390/rs12010030