16 citations as recorded by crossref.

1. Deep Learning-Based Precipitation Classification Using Global Precipitation Measurement Dual-Frequency Precipitation Radar D. Durbin et al. https://doi.org/10.34133/remotesensing.1078
2. The explanation of small- and medium-watershed-scale bias variability in IMERG in Chinese humid regions W. Liu et al. https://doi.org/10.1016/j.atmosres.2025.108075
3. Recent oceanic performance of GPM multisatellite precipitation estimates benchmarked by passive aquatic listeners Y. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.134475
4. Transformer-Based Modeling of Global Microwave Land Surface Emissivity Using GPM F. King & S. Ringerud https://doi.org/10.1109/TGRS.2026.3695005
5. TRMM-era neural networks for GPM-era satellite quantitative precipitation estimation (QPE) L. Leganés et al. https://doi.org/10.1016/j.atmosres.2024.107879
6. How has the latest IMERG V07 improved the precipitation estimates and hydrologic utility over CONUS against IMERG V06? S. Zhu et al. https://doi.org/10.1016/j.jhydrol.2024.132257
7. Evaluation of the hydrological utility of the GPM IMERG satellite precipitation products H. Meng & T. Zhao https://doi.org/10.1016/j.atmosres.2025.108139
8. Diagnosing cloudbursts over Indian megacities near land-sea boundary during the 2025 Monsoon: Multi-platform observations, atmospheric drivers and model predictability G. Rakshit et al. https://doi.org/10.1016/j.atmosres.2026.109074
9. RainDSD: Joint Retrieval of Rain Rate and Drop-Size Distribution Parameters From GPM Microwave Imager D. Shin et al. https://doi.org/10.1109/TGRS.2026.3737444
10. An Incremental Learning Framework Linking Reanalysis and Radar Data for Passive Microwave Precipitation Retrievals B. Subedi et al. https://doi.org/10.1109/TGRS.2026.3713037
11. The Arctic Weather Satellite radiometer P. Eriksson et al. https://doi.org/10.5194/amt-18-4709-2025
12. Precipitation Retrieval from FY-3G/MWRI-RM Based on SMOTE-LGBM Y. Lv et al. https://doi.org/10.3390/atmos15111268
13. Evaluating rainfall and graupel retrieval performance of the NASA TROPICS pathfinder through the NOAA MiRS system J. Yang et al. https://doi.org/10.1016/j.rse.2024.114570
14. A Generative Diffusion Model for Probabilistic Ensembles of Precipitation Maps Conditioned on Multisensor Satellite Observations C. Guilloteau et al. https://doi.org/10.1109/TGRS.2025.3548518
15. Understanding Regional Passive Microwave Precipitation Bias Using Radar-Derived Information E. Goldenstern & C. Kummerow https://doi.org/10.1109/TGRS.2024.3470552
16. Sensitivity of Microwave Radiative Transfer Simulations to Cloud Microphysics Assumptions D. Kim et al. https://doi.org/10.1109/TGRS.2025.3632058