11 citations as recorded by crossref.

1. Forecasting High-Flow Discharges in a Flashy Catchment Using Multiple Precipitation Estimates as Predictors in Machine Learning Models A. Zanchetta et al. 10.3390/hydrology9120216
2. Assessment of GPM and SM2RAIN-ASCAT rainfall products over complex terrain in southern Italy F. Chiaravalloti et al. 10.1016/j.atmosres.2018.02.019
3. Long‐term hydrological assessment of remote sensing precipitation from multiple sources over the lower Yangtze River basin, China D. Zhu et al. 10.1002/met.1991
4. Prediction of river temperature surges is dependent on precipitation method D. Croghan et al. 10.1002/hyp.13317
5. Learning ensembles of deep neural networks for extreme rainfall event detection G. Folino et al. 10.1007/s00521-023-08238-0
6. A GIS-Based Methodology to Combine Rain Gauge and Radar Rainfall Estimates of Precipitation Using the Conditional Merging Technique for High-Resolution Quantitative Precipitation Forecasts in Țibleș and Rodnei Mountains I. Kocsis et al. 10.3390/atmos13071106
7. A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources M. Guarascio et al. 10.1109/TGRS.2020.3037776
8. Flood Simulation in South Carolina Watersheds Using Different Precipitation Inputs P. Gao et al. 10.1155/2018/4085463
9. Geomorphic effects caused by heavy rainfall in the Corigliano-Rossano area (NE Calabria, Italy) on 12 August 2015 V. Rago et al. 10.1080/17445647.2020.1867248
10. Improving Mean Annual Precipitation Prediction Incorporating Elevation and Taking into Account Support Size G. Buttafuoco & M. Conforti 10.3390/w13060830
11. A Comparative Evaluation of Using Rain Gauge and NEXRAD Radar-Estimated Rainfall Data for Simulating Streamflow S. Ahmed et al. 10.3390/hydrology9080133