35 citations as recorded by crossref.

1. Radar Quantitative Precipitation Estimation (QPE) Calibration Methods: A Systematic Literature Review N. Osman & W. Tahir 10.48084/etasr.7534
2. Data fusion of satellite imagery and downscaling for generating highly fine-scale precipitation X. Zhang et al. 10.1016/j.jhydrol.2024.130665
3. Quality Index-Driven Radar Mosaicking and Machine Learning for Enhanced Rainfall Estimation in the Chao Phraya River Basin and Its Tributaries in Thailand N. Mahavik et al. 10.1007/s41976-025-00207-6
4. Radar Quantitative Precipitation Estimation Based on the Gated Recurrent Unit Neural Network and Echo-Top Data H. Zou et al. 10.1007/s00376-022-2127-x
5. Enhancing monthly precipitation forecasting by integrating multi-source data with machine learning models: a study in the Upper Blue Nile Basin J. Mohammed et al. 10.1007/s40808-024-02223-9
6. Quantitative Precipitation Estimation Using Weather Radar Data and Machine Learning Algorithms for the Southern Region of Brazil F. Verdelho et al. 10.3390/rs16111971
7. An explainable two-stage machine learning approach for precipitation forecast A. Senocak et al. 10.1016/j.jhydrol.2023.130375
8. A Comprehensive Overview of the Hydrochemical Characteristics of Precipitation across the Middle East M. Heydarizad et al. 10.3390/w14172657
9. Polarimetric Radar Quantitative Precipitation Estimation A. Ryzhkov et al. 10.3390/rs14071695
10. Improving Hourly Precipitation Estimates for Flash Flood Modeling in Data-Scarce Andean-Amazon Basins: An Integrative Framework Based on Machine Learning and Multiple Remotely Sensed Data J. Chancay & E. Espitia-Sarmiento 10.3390/rs13214446
11. Enhancing short-term forecasting of daily precipitation using numerical weather prediction bias correcting with XGBoost in different regions of China J. Dong et al. 10.1016/j.engappai.2022.105579
12. Hybrid physically based and machine learning model to enhance high streamflow prediction S. López-Chacón et al. 10.1080/02626667.2024.2426720
13. Spatial variability and relative influence of seasonal rainfall drivers in Ethiopia E. Zeleke et al. 10.1007/s00704-025-05368-4
14. Research on Water Resource Modeling Based on Machine Learning Technologies Z. Liu et al. 10.3390/w16030472
15. Application of Machine Learning Techniques to Improve Multi-Radar Mosaic Precipitation Estimates in Shanghai R. Wang et al. 10.3390/atmos14091364
16. Intercomparison of Deep Learning Architectures for the Prediction of Precipitation Fields With a Focus on Extremes N. Otero & P. Horton 10.1029/2023WR035088
17. Near Real-Time Estimation of High Spatiotemporal Resolution Rainfall from Cloud Top Properties of the Msg Satellite and Commercial Microwave Link Rainfall Intensities K. Kumah et al. 10.2139/ssrn.4098667
18. Exploiting radar polarimetry for nowcasting thunderstorm hazards using deep learning N. Rombeek et al. 10.5194/nhess-24-133-2024
19. Assessing Machine Learning Models for Gap Filling Daily Rainfall Series in a Semiarid Region of Spain J. Bellido-Jiménez et al. 10.3390/atmos12091158
20. Introduction of Materials Genome Technology and Its Applications in the Field of Biomedical Materials Y. Qiu et al. 10.3390/ma16051906
21. The effect of altitude on the uncertainty of radar-based precipitation estimates over Switzerland E. Ghaemi et al. 10.1080/01431161.2023.2203339
22. Estimation of Precipitation Area Using S-Band Dual-Polarization Radar Measurements J. Song et al. 10.3390/rs13112039
23. Geomorphic imprint of high-mountain floods: insights from the 2022 hydrological extreme across the upper Indus River catchment in the northwestern Himalayas A. Kashyap et al. 10.5194/esurf-13-147-2025
24. SSAS: Spatiotemporal Scale Adaptive Selection for Improving Bias Correction on Precipitation Y. Liu et al. 10.1109/TCYB.2021.3072483
25. Weather Radar in Complex Orography U. Germann et al. 10.3390/rs14030503
26. A comparison of five models in predicting surface dead fine fuel moisture content of typical forests in Northeast China J. Fan et al. 10.3389/ffgc.2023.1122087
27. Remote sensing and machine learning method to support sea surface pCO2 estimation in the Yellow Sea W. Li et al. 10.3389/fmars.2023.1181095
28. Near real-time estimation of high spatiotemporal resolution rainfall from cloud top properties of the MSG satellite and commercial microwave link rainfall intensities K. Kumah et al. 10.1016/j.atmosres.2022.106357
29. Projection of future water availability in the Amu Darya Basin O. Salehie et al. 10.1002/joc.8490
30. A new approach for quantitative precipitation estimation from radar reflectivity using a gated recurrent unit network T. Dinh et al. 10.1016/j.jhydrol.2023.129887
31. A novel approach to precipitation prediction using a coupled CEEMDAN-GRU-Transformer model with permutation entropy algorithm J. Zhao et al. 10.2166/wst.2023.257
32. Parks Under Stress: Air Temperature Regulation of Urban Green Spaces Under Conditions of Drought and Summer Heat R. Kraemer & N. Kabisch 10.3389/fenvs.2022.849965
33. Calibration of X-Band Radar for Extreme Events in a Spatially Complex Precipitation Region in North Peru: Machine Learning vs. Empirical Approach R. Rollenbeck et al. 10.3390/atmos12121561
34. Hybrid EMD-RF Model for Predicting Annual Rainfall in Kerala, India A. Jayasree et al. 10.3390/app13074572
35. Enhancing Spatial Resolution of SMAP Soil Moisture Products through Spatial Downscaling over a Large Watershed: A Case Study for the Susquehanna River Basin in the Northeastern United States S. Wakigari & R. Leconte 10.3390/rs14030776