60 citations as recorded by crossref.

1. Precipitation data merging via machine learning: Revisiting conceptual and technical aspects P. Kossieris et al. https://doi.org/10.1016/j.jhydrol.2024.131424
2. Comprehensive performance evaluation of satellite-based and reanalysis rainfall estimate products in Ethiopia: For drought, flood, and water resources applications. D. Wodebo et al. https://doi.org/10.1016/j.ejrh.2024.102150
3. Long-term multi-step ahead forecasting of root zone soil moisture in different climates: Novel ensemble-based complementary data-intelligent paradigms M. Jamei et al. https://doi.org/10.1016/j.agwat.2022.107679
4. Toward a self-calibrated and independent SM2RAIN rainfall product P. Filippucci et al. https://doi.org/10.1016/j.jhydrol.2021.126837
5. Rainfall estimation in the West African Sahel: comparison and cross-validation of top-down vs. bottom-up precipitation products in Burkina Faso R. Yonaba et al. https://doi.org/10.1080/10106049.2024.2391956
6. Cross-Scale Performance Evaluation of GPM IMERG V07 Precipitation Products in a Typical Mountainous Monsoon Region S. Yang et al. https://doi.org/10.3390/rs18172867
7. Developing a novel hybrid Auto Encoder Decoder Bidirectional Gated Recurrent Unit model enhanced with empirical wavelet transform and Boruta-Catboost to forecast significant wave height M. Karbasi et al. https://doi.org/10.1016/j.jclepro.2022.134820
8. Advances in multi-source data fusion for precipitation estimation: remote sensing and machine learning perspectives V. Nourani et al. https://doi.org/10.1016/j.earscirev.2025.105253
9. Satellite rainfall products outperform ground observations for landslide prediction in India M. Brunetti et al. https://doi.org/10.5194/hess-25-3267-2021
10. A deep learning-based framework for multi-source precipitation fusion K. Gavahi et al. https://doi.org/10.1016/j.rse.2023.113723
11. Merging Satellite Products and Rain-Gauge Observations to Improve Hydrological Simulation: A Review H. Belay et al. https://doi.org/10.3390/earth3040072
12. Multi-criteria evaluation of satellite-based precipitation estimates over agro-climatic zones of India D. Dayal et al. https://doi.org/10.1016/j.atmosres.2023.106879
13. Rethinking Satellite Data Merging: From Averaging to SNR Optimization S. Kim et al. https://doi.org/10.1109/TGRS.2021.3107028
14. Improved Flood Forecasting in Basins With No Precipitation Stations: Constrained Runoff Correction Using Multiple Satellite Precipitation Products Y. Dou et al. https://doi.org/10.1029/2021WR029682
15. Climate-dependent propagation of precipitation uncertainty into the water cycle A. Fallah et al. https://doi.org/10.5194/hess-24-3725-2020
16. Satellite-Based Precipitation Datasets Evaluation Using Gauge Observation and Hydrological Modeling in a Typical Arid Land Watershed of Central Asia J. Peng et al. https://doi.org/10.3390/rs13020221
17. SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022 Q. Zhang et al. https://doi.org/10.5194/essd-14-4473-2022
18. A synthesis of hydroclimatic, ecological, and socioeconomic data for transdisciplinary research in the Mekong A. Tiwari et al. https://doi.org/10.1038/s41597-023-02193-0
19. Hydrological assessment of different satellite precipitation products in semi-arid basins in Morocco E. El Khalki et al. https://doi.org/10.3389/frwa.2023.1243251
20. Evaluating CHIRPS Satellite Rainfall Data for Water Quality Management in the Perai River Basin S. Noor et al. https://doi.org/10.1088/1755-1315/1605/1/012027
21. Comprehensive Evaluations on the Error Characteristics of the State‐of‐the‐Art Gridded Precipitation Products Over Jiangxi Province in 2019 T. Hong et al. https://doi.org/10.1029/2021EA001787
22. Assessment of Bottom-Up Satellite Precipitation Products on River Streamflow Estimations in the Peruvian Pacific Drainage J. Qquenta et al. https://doi.org/10.3390/rs16010011
23. Development of HYPER-P: HYdroclimatic PERformance-enhanced Precipitation at 1 km/daily over the Europe-Mediterranean region from 2007 to 2022 P. Filippucci et al. https://doi.org/10.5194/essd-17-5221-2025
24. SM2RAIN–dual: a global rainfall fusion product derived from multi-source satellite soil moisture observations L. Miao et al. https://doi.org/10.1016/j.jhydrol.2026.135261
25. River flow prediction in data scarce regions: soil moisture integrated satellite rainfall products outperform rain gauge observations in West Africa L. Brocca et al. https://doi.org/10.1038/s41598-020-69343-x
26. Blending multi-satellite, atmospheric reanalysis and gauge precipitation products to facilitate hydrological modelling J. Yin et al. https://doi.org/10.1016/j.jhydrol.2020.125878
27. Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. https://doi.org/10.5194/hess-24-5379-2020
28. A Satellite-Based Approach for Quantifying Terrestrial Water Cycle Intensity F. Zowam et al. https://doi.org/10.3390/rs15143632
29. Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. Remote-Sensing multiple datasets D. Dalmonech et al. https://doi.org/10.1080/22797254.2023.2301657
30. Impacts of Gauge Data Bias on the Performance Evaluation of Satellite-Based Precipitation Products in the Arid Region of Northwestern China W. Xie et al. https://doi.org/10.3390/w14121860
31. Multi-scale debris flow risk assessment using morphometrics in high-altitude catchments of Northern Pakistan Y. Ullah et al. https://doi.org/10.1007/s11069-025-07833-9
32. Hydrological evaluation of top-down and bottom-up rainfall products in West Africa: Model performance, parameter range and uncertainty propagation R. Yonaba et al. https://doi.org/10.1016/j.ejrh.2025.102957
33. A framework for merging precipitation retrievals and gauge-based observations based on a novel concept namely virtual gauges Y. Dou et al. https://doi.org/10.1016/j.jhydrol.2023.129506
34. Smart Technologies for Water Resources Management (WRM) in Semi-Arid Latin America: A Narrative Review and Adoption Agenda E. Sánchez Ruiz et al. https://doi.org/10.3390/su18063153
35. High-resolution satellite products improve hydrological modeling in northern Italy L. Alfieri et al. https://doi.org/10.5194/hess-26-3921-2022
36. Evaporation enhancement drives the European water-budget deficit during multi-year droughts C. Massari et al. https://doi.org/10.5194/hess-26-1527-2022
37. Regional-scale evaluation of 14 satellite-based precipitation products in characterising extreme events and delineating rainfall thresholds for flood hazards G. Moura Ramos Filho et al. https://doi.org/10.1016/j.atmosres.2022.106259
38. Comprehensive Global Assessment of 24 Gridded Precipitation Datasets Across 18 428 Catchments Using Hydrological Modeling A. Abbas et al. https://doi.org/10.5194/hess-30-3399-2026
39. Paradigm shift in rainfall observations: a review of high-resolution satellite based precipitation products K. Karthika et al. https://doi.org/10.1007/s00704-026-06256-1
40. Assessment of bottom-up satellite rainfall products on estimating river discharge and hydrologic signatures in Brazilian catchments A. Almagro et al. https://doi.org/10.1016/j.jhydrol.2021.126897
41. A dual-TransUNet deep learning framework for multi-source precipitation merging and improving seasonal and extreme estimates Y. Ye et al. https://doi.org/10.1016/j.ejrh.2026.103453
42. Introducing a new clustering-based method for regionalization framework for continental-scale rainfall estimates from soil moisture dynamics using machine learning methods M. Saeedi et al. https://doi.org/10.1016/j.agrformet.2025.110766
43. A comprehensive assessment of SM2RAIN-NWF using ASCAT and a combination of ASCAT and SMAP soil moisture products for rainfall estimation M. Saeedi et al. https://doi.org/10.1016/j.scitotenv.2022.156416
44. Statistical and hydrological evaluation of remotely sensed rainfall products in the Upper Blue Nile basin, Ethiopia M. Alemu et al. https://doi.org/10.1007/s40808-025-02299-x
45. Assessing the SM2RAIN-ASCAT dataset in Morocco: Accuracy evaluation and drought monitoring application S. El Goumi et al. https://doi.org/10.1016/j.atmosres.2025.108729
46. Investigating the utility of satellite-based precipitation products for simulating extreme discharge events: an exhaustive model-driven approach for a tropical river basin in India D. Dayal et al. https://doi.org/10.1007/s10661-024-12746-4
47. Influences of Using Different Satellite Soil Moisture Products on SM2RAIN for Rainfall Estimation Across the Tibetan Plateau L. Miao et al. https://doi.org/10.1109/JSTARS.2023.3296455
48. Hydrologic applicability of satellite-based precipitation estimates for irrigation water management in the data-scarce region S. Bista et al. https://doi.org/10.1016/j.jhydrol.2024.131310
49. Assessment of GPM Satellite Precipitation Performance after Bias Correction, for Hydrological Modeling in a Semi-Arid Watershed (High Atlas Mountain, Morocco) M. Benkirane et al. https://doi.org/10.3390/atmos14050794
50. Saudi Rainfall (SaRa): hourly 0.1° gridded rainfall (1979–present) for Saudi Arabia via machine learning fusion of satellite and model data X. Wang et al. https://doi.org/10.5194/hess-29-4983-2025
51. Added value of integrated satellite precipitation products for event-based flood modeling in semi-arid regions M. Rachdane et al. https://doi.org/10.1038/s41598-026-63262-z
52. Evaluation of winter snow properties effects on spring soil moisture using satellite images in the Northwest of Iran M. Goodarzi et al. https://doi.org/10.1007/s11600-023-01177-3
53. Performance evaluation of four remote-sensing products throughout precipitation estimation in the State of Paraíba, Northeast Brazil F. Costa et al. https://doi.org/10.1016/j.rsase.2024.101256
54. 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
55. High-resolution (1 km) satellite rainfall estimation from SM2RAIN applied to Sentinel-1: Po River basin as a case study P. Filippucci et al. https://doi.org/10.5194/hess-26-2481-2022
56. Which Rainfall Errors Can Hydrologic Models Handle? Implications for Using Satellite‐Derived Products in Sparsely Gauged Catchments C. Stephens et al. https://doi.org/10.1029/2020WR029331
57. Comprehensive Comparisons of State-of-the-Art Gridded Precipitation Estimates for Hydrological Applications over Southern China Z. Gao et al. https://doi.org/10.3390/rs12233997
58. Uncertainty Quantification of Satellite Soil Moisture Retrieved Precipitation in the Central Tibetan Plateau K. Zhang et al. https://doi.org/10.3390/rs15102600
59. Review on spatial downscaling of satellite derived precipitation estimates M. Kofidou et al. https://doi.org/10.1007/s12665-023-11115-7
60. Integration of Satellite-Derived and Ground-Based Soil Moisture Observations for a Precipitation Product over the Upper Heihe River Basin, China Y. Zhang et al. https://doi.org/10.3390/rs14215355