12 citations as recorded by crossref.

1. Assessment of BDS-3 PPP-B2b Service and Its Applications for the Determination of Precipitable Water Vapour X. Wang et al. https://doi.org/10.3390/atmos15091048
2. Synergistic Assimilation of Radar-Derived Precipitation and GNSS Zenith Total Delay to Improve Heavy Rainfall Forecasts: A Case Study Over Northern Germany in 2017 J. Li et al. https://doi.org/10.1109/TGRS.2025.3550606
3. Outliers and uncertainties in GNSS ZTD estimates from double-difference processing and precise point positioning K. Stępniak et al. https://doi.org/10.1007/s10291-022-01261-z
4. The Zenith Total Delay Combination of International GNSS Service Repro3 and the Analysis of Its Precision Q. Huang et al. https://doi.org/10.3390/rs16203885
5. Investigating the Optimal Spatial Resolution for Assimilating GNSS PWV into an NWP System to Improve the Accuracy of Humidity Field H. Li et al. https://doi.org/10.1109/JSTARS.2023.3298489
6. Use of Tropospheric Delay in GNSS-Based Climate Monitoring—A Review A. Maciejewska https://doi.org/10.3390/rs17091501
7. 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. https://doi.org/10.1007/s10291-022-01379-0
8. Monitoring the Water Vapor Content at High Spatio-Temporal Resolution Using a Network of Low-Cost Multi-GNSS Receivers G. Marut et al. https://doi.org/10.1109/TGRS.2022.3226631
9. Determination of high-precision tropospheric delays using crowdsourced smartphone GNSS data Y. Pan et al. https://doi.org/10.5194/amt-17-4303-2024
10. A novel approach for assimilating GNSS tropospheric gradient information to improve numerical weather prediction Y. Zheng et al. https://doi.org/10.1016/j.atmosres.2026.108769
11. High-resolution atmospheric data cubes from the WegenerNet 3D Open-Air Laboratory for Climate Change Research A. Kvas et al. https://doi.org/10.5194/essd-18-1165-2026
12. On the Impact of GPS Multipath Correction Maps and Post-Fit Residuals on Slant Wet Delays for Tracking Severe Weather Events A. Hunegnaw et al. https://doi.org/10.3390/atmos14020219