13 citations as recorded by crossref.

1. Estimating High Spatio-Temporal Resolution Rainfall from MSG1 and GPM IMERG Based on Machine Learning: Case Study of Iran N. Turini et al. https://doi.org/10.3390/rs11192307
2. Hydrologic evaluation of bias corrected CMORPH rainfall estimates at the headwater catchment of the Zambezi River W. Gumindoga et al. https://doi.org/10.1016/j.pce.2019.11.004
3. Evaluation of the RF-MEP Method for Merging Multiple Gridded Precipitation Products in the Chongqing City, China Y. Shi et al. https://doi.org/10.3390/rs15174230
4. CLAAS-3: the third edition of the CM SAF cloud data record based on SEVIRI observations N. Benas et al. https://doi.org/10.5194/essd-15-5153-2023
5. Performance evaluation of CMORPH satellite precipitation product in the Zambezi Basin W. Gumindoga et al. https://doi.org/10.1080/01431161.2019.1602791
6. Performance of bias-correction schemes for CMORPH rainfall estimates in the Zambezi River basin W. Gumindoga et al. https://doi.org/10.5194/hess-23-2915-2019
7. Spatiotemporal prediction of daily air temperature using remote sensing and machine learning in Morocco M. Meliho et al. https://doi.org/10.1007/s00704-023-04759-9
8. Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit—Part 2: Precipitation Rates with Elektro-L2 and Insat-3D C. Kolbe et al. https://doi.org/10.3390/rs12132114
9. Random forest-based rainfall retrieval for Ecuador using GOES-16 and IMERG-V06 data N. Turini et al. https://doi.org/10.1080/22797254.2021.1884002
10. Hourly gridded air temperatures of South Africa derived from MSG SEVIRI H. Meyer et al. https://doi.org/10.1016/j.jag.2019.02.006
11. Skill assessment of AI-based weather model in heavy precipitation prediction over South Korea S. Hong et al. https://doi.org/10.1007/s00704-026-06536-w
12. Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit—Part 1: Precipitation Area Delineation with Elektro-L2 and Insat-3D C. Kolbe et al. https://doi.org/10.3390/rs11192302
13. RainMerge: a two-stage framework for gauge-independent merging of multiple rainfall products S. Shah et al. https://doi.org/10.1016/j.jhydrol.2026.135390