120 citations as recorded by crossref.

1. How much water is used for irrigation? A new approach exploiting coarse resolution satellite soil moisture products L. Brocca et al. https://doi.org/10.1016/j.jag.2018.08.023
2. Comprehensive evaluation of satellite and reanalysis precipitation products over the eastern Tibetan plateau characterized by a high diversity of topographies H. Lei et al. https://doi.org/10.1016/j.atmosres.2021.105661
3. Assessing the sensitivity of modelled water partitioning to global precipitation datasets in a data‐scarce dryland region E. Quichimbo et al. https://doi.org/10.1002/hyp.15047
4. Validating CYGNSS Wind Speeds with Surface-Based Observations and Triple Collocation Analysis A. Wild et al. https://doi.org/10.3390/rs16244702
5. Reliability of satellite-derived precipitation data in driving hydrological simulations: A case study of the upper Huaihe River basin, China F. Chen et al. https://doi.org/10.1016/j.jhydrol.2022.128076
6. Sensor Networks, Data Processing, and Inference: The Hydrology Challenge A. Zanella et al. https://doi.org/10.1109/ACCESS.2023.3318739
7. Rainfall Spatial Estimations: A Review from Spatial Interpolation to Multi-Source Data Merging Q. Hu et al. https://doi.org/10.3390/w11030579
8. Evaluation of precipitation datasets available on Google earth engine over India S. Dubey et al. https://doi.org/10.1002/joc.7102
9. A double instrumental variable method for geophysical product error estimation J. Dong et al. https://doi.org/10.1016/j.rse.2019.03.003
10. Assessment of GPM and SM2RAIN-ASCAT rainfall products over complex terrain in southern Italy F. Chiaravalloti et al. https://doi.org/10.1016/j.atmosres.2018.02.019
11. Triple Collocation Analysis of Satellite Precipitation Estimates over Australia A. Wild et al. https://doi.org/10.3390/rs14112724
12. Comparing and contrasting the performance of high-resolution precipitation products via error decomposition and triple collocation: An application to different climate classes of the central Iran A. Ghomlaghi et al. https://doi.org/10.1016/j.jhydrol.2022.128298
13. Cross-Examination of Similarity, Difference and Deficiency of Gauge, Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation Z. Li et al. https://doi.org/10.3390/rs12081258
14. Spatiotemporal assessment of the PERSIANN family of satellite precipitation data over Fars Province, Iran N. Salmani-Dehaghi & N. Samani https://doi.org/10.1007/s00704-019-02872-2
15. Effects of different precipitation inputs on streamflow simulation in the Irrawaddy River Basin, Myanmar T. Sirisena et al. https://doi.org/10.1016/j.ejrh.2018.10.005
16. Assessment of Level-3 Gridded Global Precipitation Mission (GPM) Products Over Oceans S. Khan & V. Maggioni https://doi.org/10.3390/rs11030255
17. A Novel Merging Method for Generating High-Quality Spatial Precipitation Information over Mainland China N. Zhao https://doi.org/10.3390/w15030575
18. Joint calibration of multi-scale hydrological data sets using probabilistic water balance data fusion: methodology and application to the irrigated Hindon River Basin, India R. Mourad et al. https://doi.org/10.5194/hess-30-525-2026
19. Soil moisture product consistency for operational drought monitoring in Europe J. Gaona et al. https://doi.org/10.5194/hess-29-3865-2025
20. Integration of Satellite-Derived Meteorological Inputs into SWAT, XGBoost, WGAN, and Hybrid Modelling Frameworks for Climate Change-Driven Streamflow Simulation in a Data-Scarce Region S. Yeşilyurt & G. Onuşluel Gül https://doi.org/10.3390/w18020239
21. Evaluation of Six Satellite Precipitation Products over the Chinese Mainland Z. Liu et al. https://doi.org/10.3390/rs14246277
22. MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment H. Beck et al. https://doi.org/10.1175/BAMS-D-17-0138.1
23. How well do gridded precipitation and actual evapotranspiration products represent the key water balance components in the Nile Basin? I. McNamara et al. https://doi.org/10.1016/j.ejrh.2021.100884
24. 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
25. Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors H. Beck et al. https://doi.org/10.5194/hess-25-17-2021
26. Impacts of WRF-based Precipitation Quality on Urban Flood Simulation Accuracy S. Xu et al. https://doi.org/10.1007/s11269-026-04726-9
27. Effects of Different Spatial Precipitation Input Data on Crop Model Outputs under a Central European Climate S. Thaler et al. https://doi.org/10.3390/atmos9080290
28. Towards a novel high-spatial-resolution satellite rainfall product from C-band SAR Sentinel-1 over Central South Korea based on a bottom-up approach H. Nguyen et al. https://doi.org/10.1080/01431161.2022.2122894
29. Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling H. Beck et al. https://doi.org/10.5194/hess-21-6201-2017
30. Spatio-temporal accuracy evaluation of MSWEP daily precipitation over the Huaihe River Basin, China: A comparison study with representative satellite- and reanalysis-based products L. Li et al. https://doi.org/10.1007/s11442-022-2047-9
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33. Toward a self-calibrated and independent SM2RAIN rainfall product P. Filippucci et al. https://doi.org/10.1016/j.jhydrol.2021.126837
34. Advancing High-Mountain Precipitation Reconstruction Through Merging of Multiple Data Sources: Triple Collocation Versus Signal-to-Noise Ratio Optimization S. Shah et al. https://doi.org/10.1109/TGRS.2024.3494812
35. Precipitation data merging via machine learning: Revisiting conceptual and technical aspects P. Kossieris et al. https://doi.org/10.1016/j.jhydrol.2024.131424
36. 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
37. An Assessment of Extreme Precipitation Trends in the Missouri River Basin: Insights From Three Gridded Precipitation Data Sets and Climate Indices C. Gupta et al. https://doi.org/10.1002/joc.70163
38. 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
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40. A Binned Triple Collocation for Estimating Regime-Dependent Uncertainties of Precipitation V. Pellet https://doi.org/10.1109/LGRS.2022.3162703
41. Enhanced precipitation estimation in a Himalayan river basin through the fusion of multi-source datasets using various machine learning techniques H. Tiwari et al. https://doi.org/10.1016/j.pce.2026.104418
42. Improving hydrological process simulation in mountain watersheds: Integrating WRF model gridded precipitation data into the SWAT model A. Jiang et al. https://doi.org/10.1016/j.jhydrol.2024.131687
43. Review of gridded climate products and their use in hydrological analyses reveals overlaps, gaps, and the need for a more objective approach to selecting model forcing datasets K. Mankin et al. https://doi.org/10.5194/hess-29-85-2025
44. SM2RAIN-CCI: a new global long-term rainfall data set derived from ESA CCI soil moisture L. Ciabatta et al. https://doi.org/10.5194/essd-10-267-2018
45. 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
46. A novel validation of satellite soil moisture using SM2RAIN-derived rainfall estimates S. Do et al. https://doi.org/10.3389/frsen.2024.1474088
47. Testing the potential of soil moisture observations to estimate rainfall in a soil tank experiment S. Song et al. https://doi.org/10.1016/j.jhydrol.2019.124368
48. A GWR downscaling method to reconstruct high-resolution precipitation dataset based on GSMaP-Gauge data: A case study in the Qilian Mountains, Northwest China H. Wang et al. https://doi.org/10.1016/j.scitotenv.2021.152066
49. Spatiotemporal evaluation of five satellite-based precipitation products under the arid environment of Saudi Arabia A. Jazem Ghanim et al. https://doi.org/10.1063/5.0191924
50. A newly merging approach of multiple precipitation products by combining time-varying quadruple collocation and random forest spatial interpolation S. Xu et al. https://doi.org/10.1016/j.jhydrol.2026.135514
51. Complementing near-real time satellite rainfall products with satellite soil moisture-derived rainfall through a Bayesian Inversion approach C. Massari et al. https://doi.org/10.1016/j.jhydrol.2019.03.038
52. Exploiting Satellite-Based Surface Soil Moisture for Flood Forecasting in the Mediterranean Area: State Update Versus Rainfall Correction C. Massari et al. https://doi.org/10.3390/rs10020292
53. Development of Open-Source Tools for Event-Based Hydrological Modelling Using GIS and Python A. Almeida-Ñauñay et al. https://doi.org/10.3390/w17142160
54. Enhancing seasonal fire predictions with hybrid dynamical and random forest models M. Torres-Vázquez et al. https://doi.org/10.1038/s44304-025-00069-4
55. A macroscale evapotranspiration benchmark based on spatial and temporal enhancements to the Budyko framework L. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.133625
56. New Insights Into Error Decomposition for Precipitation Products Y. Zhang et al. https://doi.org/10.1029/2021GL094092
57. 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
58. A comprehensive investigation of three long‐term precipitation datasets: Which performs better in the Yellow River basin? R. Huang et al. https://doi.org/10.1002/joc.8383
59. Satellite soil moisture data assimilation for improved operational continental water balance prediction S. Tian et al. https://doi.org/10.5194/hess-25-4567-2021
60. A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations L. Brocca et al. https://doi.org/10.3389/fsci.2023.1190191
61. The evaluation of IMERG and ERA5-Land daily precipitation over China with considering the influence of gauge data bias W. Xie et al. https://doi.org/10.1038/s41598-022-12307-0
62. 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
63. Error investigation of rain retrievals from disdrometer data using triple colocation C. Annella et al. https://doi.org/10.1002/asl.1127
64. A Preliminary Assessment of the Gauge-Adjusted Near-Real-Time GSMaP Precipitation Estimate over Mainland China D. Lu & B. Yong https://doi.org/10.3390/rs12010141
65. Hydroclimate assessment of gridded precipitation products for the Tibetan Plateau Y. Wu et al. https://doi.org/10.1016/j.scitotenv.2019.01.119
66. Comprehensive evaluation and comparison of ten precipitation products in terms of accuracy and stability over a typical mountain basin, Southwest China C. Mo et al. https://doi.org/10.1016/j.atmosres.2023.107116
67. Improving daily precipitation estimation using a double triple collocation-based (DTC) merging framework J. Gu et al. https://doi.org/10.1016/j.jhydrol.2024.132422
68. An intercomparison of four gridded precipitation products over Europe using an extension of the three-cornered-hat method L. Lledó et al. https://doi.org/10.5194/hess-28-5149-2024
69. Triple Collocation Based Multi-Source Precipitation Merging J. Dong et al. https://doi.org/10.3389/frwa.2020.00001
70. Evaluation of Satellite Precipitation Estimates over the South West Pacific Region A. Wild et al. https://doi.org/10.3390/rs13193929
71. Uncertainty Quantification of Satellite Soil Moisture Retrieved Precipitation in the Central Tibetan Plateau K. Zhang et al. https://doi.org/10.3390/rs15102600
72. River runoff estimation with satellite rainfall in Morocco Y. Tramblay et al. https://doi.org/10.1080/02626667.2023.2171295
73. Satellite-based streamflow simulation using CHIRPS satellite precipitation product in Shah Bahram Basin, Iran S. Mokhtari et al. https://doi.org/10.1007/s11600-021-00724-0
74. SM2RAIN-Climate, a monthly global long-term rainfall dataset for climatological studies H. Mosaffa et al. https://doi.org/10.1038/s41597-023-02654-6
75. Intercomparison of H SAF and IMERG heavy rainfall retrievals over a Mediterranean coastal region E. Peinó et al. https://doi.org/10.1016/j.atmosres.2025.108311
76. Spatially continuous assessment of satellite-based precipitation products using triple collocation approach and discrete gauge observations via geographically weighted regression P. Wang et al. https://doi.org/10.1016/j.jhydrol.2022.127640
77. Assessing the accuracy and drought utility of long-term satellite-based precipitation estimation products using the triple collocation approach X. Bai et al. https://doi.org/10.1016/j.jhydrol.2021.127098
78. Diurnal variation features and dry times impact based on the latest hourly satellite-based precipitation data across China Y. Gu et al. https://doi.org/10.1016/j.ejrh.2025.102859
79. Assessment and Data Fusion of Satellite-Based Precipitation Estimation Products over Ungauged Areas Based on Triple Collocation without In Situ Observations X. Wu et al. https://doi.org/10.3390/rs15174210
80. Downscaling and Calibration Analysis of Precipitation Data in the Songhua River Basin Using the GWRK Model and Rain Gauges B. Zhang et al. https://doi.org/10.1109/JSTARS.2024.3424349
81. GRACEfully Closing the Water Balance: A Data‐Driven Probabilistic Approach Applied to River Basins in Iran G. Schoups & M. Nasseri https://doi.org/10.1029/2020WR029071
82. 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
83. A Comparison of Various Correction and Blending Techniques for Creating an Improved Satellite-Gauge Rainfall Dataset over Australia Z. Chua et al. https://doi.org/10.3390/rs14020261
84. Integrating categorical and standard triple collocation to improve precipitation fusion over the five largest freshwater lakes in China L. Li et al. https://doi.org/10.1007/s11442-025-2417-1
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87. Climate-dependent propagation of precipitation uncertainty into the water cycle A. Fallah et al. https://doi.org/10.5194/hess-24-3725-2020
88. Simulating riverflow in South Africa’s Limpopo River Basin using TerM land surface model T. Mohomi et al. https://doi.org/10.1007/s00704-026-06337-1
89. A daily 25 km short-latency rainfall product for data-scarce regions based on the integration of the Global Precipitation Measurement mission rainfall and multiple-satellite soil moisture products C. Massari et al. https://doi.org/10.5194/hess-24-2687-2020
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94. Performance Assessment of SM2RAIN-CCI and SM2RAIN-ASCAT Precipitation Products over Pakistan K. Rahman et al. https://doi.org/10.3390/rs11172040
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103. Multi-year evaluation of CloudSat, ERA5, and IMERG global snowfall products Q. Ji et al. https://doi.org/10.1016/j.jhydrol.2024.131500
104. Evaluation of a MetOp ASCAT‐Derived Surface Soil Moisture Product in Tundra Environments E. Högström et al. https://doi.org/10.1029/2018JF004658
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108. Validation of Satellite, Reanalysis and RCM Data of Monthly Rainfall in Calabria (Southern Italy) G. Caroletti et al. https://doi.org/10.3390/rs11131625
109. Can We Use the Water Budget to Infer Upland Catchment Behavior? The Role of Data Set Error Estimation and Interbasin Groundwater Flow B. Gordon et al. https://doi.org/10.1029/2021WR030966
110. Comparison of traditional method and triple collocation analysis for evaluation of multiple gridded precipitation products across Germany Z. Duan et al. https://doi.org/10.1175/JHM-D-21-0049.1
111. Triple collocation-based error estimation and data fusion of global gridded precipitation products over the Yangtze River basin C. Chen et al. https://doi.org/10.1016/j.jhydrol.2021.127307
112. A review of globally available data sources for modelling the Water-Energy-Food Nexus J. Lodge et al. https://doi.org/10.1016/j.earscirev.2023.104485
113. Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS H. Beck et al. https://doi.org/10.5194/hess-23-207-2019
114. Characterizing the performances of different observational precipitation products and their uncertainties over Africa B. Ayugi et al. https://doi.org/10.1088/1748-9326/ad416b
115. Enhancing the Australian Gridded Climate Dataset rainfall analysis using satellite data Z. Chua et al. https://doi.org/10.1038/s41598-022-25255-6
116. Downscaling and Merging of Daily Scale Satellite Precipitation Data in the Three River Headwaters Region Fused with Cloud Attributes and Rain Gauge Data C. Xu et al. https://doi.org/10.3390/w15061233
117. A combined extended triple collocation and cumulative distribution function merging framework for improved daily precipitation estimates over mainland China L. Wei et al. https://doi.org/10.1016/j.jhydrol.2024.131757
118. From SMOS Soil Moisture to 3-hour Precipitation Estimates at 0.1° Resolution in Africa T. Pellarin et al. https://doi.org/10.3390/rs14030746
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120. The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison T. Pellarin et al. https://doi.org/10.3390/rs12030481