122 citations as recorded by crossref.

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4. Validating CYGNSS Wind Speeds with Surface-Based Observations and Triple Collocation Analysis A. Wild et al. https://doi.org/10.3390/rs16244702
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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
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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
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19. Soil moisture product consistency for operational drought monitoring in Europe J. Gaona et al. https://doi.org/10.5194/hess-29-3865-2025
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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
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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
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35. Machine learning based precipitation modeling using multi satellite data for climate resilient water resource management in Bundelkhand India P. Kumar et al. https://doi.org/10.1007/s44274-026-01047-x
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38. 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
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42. 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
43. 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
44. 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
45. 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
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. A novel validation of satellite soil moisture using SM2RAIN-derived rainfall estimates S. Do et al. https://doi.org/10.3389/frsen.2024.1474088
48. 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
49. 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
50. 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
51. 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
52. 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
53. 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
54. 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
55. A High-Accuracy Gridded Precipitation Dataset for Southeast Asia Developed Using Extended Triple Collocation Analysis B. Ona et al. https://doi.org/10.3390/atmos17090850
56. 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
57. 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
58. New Insights Into Error Decomposition for Precipitation Products Y. Zhang et al. https://doi.org/10.1029/2021GL094092
59. 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
60. 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
61. 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
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63. 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
64. 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
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66. 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
67. Hydroclimate assessment of gridded precipitation products for the Tibetan Plateau Y. Wu et al. https://doi.org/10.1016/j.scitotenv.2019.01.119
68. 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
69. 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
70. 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
71. Triple Collocation Based Multi-Source Precipitation Merging J. Dong et al. https://doi.org/10.3389/frwa.2020.00001
72. Evaluation of Satellite Precipitation Estimates over the South West Pacific Region A. Wild et al. https://doi.org/10.3390/rs13193929
73. Uncertainty Quantification of Satellite Soil Moisture Retrieved Precipitation in the Central Tibetan Plateau K. Zhang et al. https://doi.org/10.3390/rs15102600
74. River runoff estimation with satellite rainfall in Morocco Y. Tramblay et al. https://doi.org/10.1080/02626667.2023.2171295
75. 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
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77. 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
78. 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
79. 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
80. 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
81. 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
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90. 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
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114. 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
115. 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
116. 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
117. Enhancing the Australian Gridded Climate Dataset rainfall analysis using satellite data Z. Chua et al. https://doi.org/10.1038/s41598-022-25255-6
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