17 citations as recorded by crossref.

1. 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
2. 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
3. Overview towards improved understanding of the mechanisms leading to heavy precipitation in the western Mediterranean: lessons learned from HyMeX S. Khodayar et al. https://doi.org/10.5194/acp-21-17051-2021
4. 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
5. Impact on Data Assimilation of Extended Coverage of GNSS Zenith Total Delay Network in Southern Part of the MetCoOp Domain M. Eshagh et al. https://doi.org/10.3390/app16178699
6. 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
7. Estimation of High Temporal and Spatial Resolution GNSS ZWD in Rainfall Regions and Analysis of Its Coupling Mechanism With Rainfall Events P. Wei et al. https://doi.org/10.1109/TGRS.2025.3606871
8. Improving S2S Precipitation Forecast over China via a Deep Learning Model with Multi-Sphere Causality-Linked Predictors B. Mu et al. https://doi.org/10.1007/s13351-026-5109-6
9. The Retrieval of Drop Size Distribution Parameters Using a Dual-Polarimetric Radar G. Lee et al. https://doi.org/10.3390/rs15041063
10. Summer evapotranspiration-cloud feedbacks in land-atmosphere interactions over Europe Y. Zhang et al. https://doi.org/10.1007/s00382-024-07475-w
11. 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
12. Dynamical forcings in heavy precipitation events over Italy: lessons from the HyMeX SOP1 campaign M. Miglietta & S. Davolio https://doi.org/10.5194/hess-26-627-2022
13. The impact of GPS and high-resolution radiosonde nudging on the simulation of heavy precipitation during HyMeX IOP6 A. Caldas-Alvarez et al. https://doi.org/10.5194/wcd-2-561-2021
14. Evaluation of 3D‐Var and 4D‐Var data assimilation on simulation of heavy rainfall events over the Indian region S. Patel et al. https://doi.org/10.1002/met.70037
15. Unraveling atmospheric moisture transport linkages to extreme precipitation events and associated synoptic features over India A. Singh Raghuvanshi & A. Agarwal https://doi.org/10.1016/j.jhydrol.2023.130290
16. Convection-parameterized and convection-permitting modelling of heavy precipitation in decadal simulations of the greater Alpine region with COSMO-CLM A. Caldas-Alvarez et al. https://doi.org/10.5194/wcd-4-543-2023
17. Extreme rainfall events in the Rio de Janeiro city (Brazil): description and a numerical sensitivity case study F. da Silva et al. https://doi.org/10.1007/s00703-022-00909-2