118 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.
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.
3. Assessing the sensitivity of modelled water partitioning to global precipitation datasets in a data‐scarce dryland region E. Quichimbo et al.
4. Validating CYGNSS Wind Speeds with Surface-Based Observations and Triple Collocation Analysis A. Wild et al.
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.
6. Sensor Networks, Data Processing, and Inference: The Hydrology Challenge A. Zanella et al.
7. Rainfall Spatial Estimations: A Review from Spatial Interpolation to Multi-Source Data Merging Q. Hu et al.
8. Evaluation of precipitation datasets available on Google earth engine over India S. Dubey et al.
9. A double instrumental variable method for geophysical product error estimation J. Dong et al.
10. Assessment of GPM and SM2RAIN-ASCAT rainfall products over complex terrain in southern Italy F. Chiaravalloti et al.
11. Triple Collocation Analysis of Satellite Precipitation Estimates over Australia A. Wild et al.
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.
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.
14. Spatiotemporal assessment of the PERSIANN family of satellite precipitation data over Fars Province, Iran N. Salmani-Dehaghi & N. Samani
15. Effects of different precipitation inputs on streamflow simulation in the Irrawaddy River Basin, Myanmar T. Sirisena et al.
16. Assessment of Level-3 Gridded Global Precipitation Mission (GPM) Products Over Oceans S. Khan & V. Maggioni
17. A Novel Merging Method for Generating High-Quality Spatial Precipitation Information over Mainland China N. Zhao
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.
19. Soil moisture product consistency for operational drought monitoring in Europe J. Gaona et al.
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
21. Evaluation of Six Satellite Precipitation Products over the Chinese Mainland Z. Liu et al.
22. MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment H. Beck et al.
23. How well do gridded precipitation and actual evapotranspiration products represent the key water balance components in the Nile Basin? I. McNamara et al.
24. Multi-criteria evaluation of satellite-based precipitation estimates over agro-climatic zones of India D. Dayal et al.
25. Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors H. Beck et al.
26. Effects of Different Spatial Precipitation Input Data on Crop Model Outputs under a Central European Climate S. Thaler et al.
27. 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.
28. Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling H. Beck et al.
29. 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.
30. Soil moisture as a potential variable for tracking and quantifying irrigation: A case study with proximal gamma-ray spectroscopy data P. Filippucci et al.
31. Improving Rain/No-Rain Detection Skill by Merging Precipitation Estimates from Different Sources J. Dong et al.
32. Toward a self-calibrated and independent SM2RAIN rainfall product P. Filippucci et al.
33. Advancing High-Mountain Precipitation Reconstruction Through Merging of Multiple Data Sources: Triple Collocation Versus Signal-to-Noise Ratio Optimization S. Shah et al.
34. Precipitation data merging via machine learning: Revisiting conceptual and technical aspects P. Kossieris et al.
35. 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.
36. 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.
37. SM2RAIN–dual: a global rainfall fusion product derived from multi-source satellite soil moisture observations L. Miao et al.
38. Reliability of SM2RAIN precipitation datasets in comparison to gauge observations and hydrological modelling over arid regions F. Satgé et al.
39. A Binned Triple Collocation for Estimating Regime-Dependent Uncertainties of Precipitation V. Pellet
40. Enhanced precipitation estimation in a Himalayan river basin through the fusion of multi-source datasets using various machine learning techniques H. Tiwari et al.
41. Improving hydrological process simulation in mountain watersheds: Integrating WRF model gridded precipitation data into the SWAT model A. Jiang et al.
42. 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.
43. SM2RAIN-CCI: a new global long-term rainfall data set derived from ESA CCI soil moisture L. Ciabatta et al.
44. 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.
45. A novel validation of satellite soil moisture using SM2RAIN-derived rainfall estimates S. Do et al.
46. Testing the potential of soil moisture observations to estimate rainfall in a soil tank experiment S. Song et al.
47. 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.
48. Spatiotemporal evaluation of five satellite-based precipitation products under the arid environment of Saudi Arabia A. Jazem Ghanim et al.
49. A newly merging approach of multiple precipitation products by combining time-varying quadruple collocation and random forest spatial interpolation S. Xu et al.
50. Complementing near-real time satellite rainfall products with satellite soil moisture-derived rainfall through a Bayesian Inversion approach C. Massari et al.
51. Exploiting Satellite-Based Surface Soil Moisture for Flood Forecasting in the Mediterranean Area: State Update Versus Rainfall Correction C. Massari et al.
52. Development of Open-Source Tools for Event-Based Hydrological Modelling Using GIS and Python A. Almeida-Ñauñay et al.
53. Enhancing seasonal fire predictions with hybrid dynamical and random forest models M. Torres-Vázquez et al.
54. A macroscale evapotranspiration benchmark based on spatial and temporal enhancements to the Budyko framework L. Zhang et al.
55. New Insights Into Error Decomposition for Precipitation Products Y. Zhang et al.
56. Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al.
57. A comprehensive investigation of three long‐term precipitation datasets: Which performs better in the Yellow River basin? R. Huang et al.
58. Satellite soil moisture data assimilation for improved operational continental water balance prediction S. Tian et al.
59. A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations L. Brocca et al.
60. The evaluation of IMERG and ERA5-Land daily precipitation over China with considering the influence of gauge data bias W. Xie et al.
61. River flow prediction in data scarce regions: soil moisture integrated satellite rainfall products outperform rain gauge observations in West Africa L. Brocca et al.
62. Error investigation of rain retrievals from disdrometer data using triple colocation C. Annella et al.
63. A Preliminary Assessment of the Gauge-Adjusted Near-Real-Time GSMaP Precipitation Estimate over Mainland China D. Lu & B. Yong
64. Hydroclimate assessment of gridded precipitation products for the Tibetan Plateau Y. Wu et al.
65. 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.
66. Improving daily precipitation estimation using a double triple collocation-based (DTC) merging framework J. Gu et al.
67. An intercomparison of four gridded precipitation products over Europe using an extension of the three-cornered-hat method L. Lledó et al.
68. Triple Collocation Based Multi-Source Precipitation Merging J. Dong et al.
69. Evaluation of Satellite Precipitation Estimates over the South West Pacific Region A. Wild et al.
70. Uncertainty Quantification of Satellite Soil Moisture Retrieved Precipitation in the Central Tibetan Plateau K. Zhang et al.
71. River runoff estimation with satellite rainfall in Morocco Y. Tramblay et al.
72. Satellite-based streamflow simulation using CHIRPS satellite precipitation product in Shah Bahram Basin, Iran S. Mokhtari et al.
73. SM2RAIN-Climate, a monthly global long-term rainfall dataset for climatological studies H. Mosaffa et al.
74. Intercomparison of H SAF and IMERG heavy rainfall retrievals over a Mediterranean coastal region E. Peinó et al.
75. Spatially continuous assessment of satellite-based precipitation products using triple collocation approach and discrete gauge observations via geographically weighted regression P. Wang et al.
76. Assessing the accuracy and drought utility of long-term satellite-based precipitation estimation products using the triple collocation approach X. Bai et al.
77. Diurnal variation features and dry times impact based on the latest hourly satellite-based precipitation data across China Y. Gu et al.
78. 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.
79. Downscaling and Calibration Analysis of Precipitation Data in the Songhua River Basin Using the GWRK Model and Rain Gauges B. Zhang et al.
80. GRACEfully Closing the Water Balance: A Data‐Driven Probabilistic Approach Applied to River Basins in Iran G. Schoups & M. Nasseri
81. Hydrological evaluation of top-down and bottom-up rainfall products in West Africa: Model performance, parameter range and uncertainty propagation R. Yonaba et al.
82. A Comparison of Various Correction and Blending Techniques for Creating an Improved Satellite-Gauge Rainfall Dataset over Australia Z. Chua et al.
83. Integrating categorical and standard triple collocation to improve precipitation fusion over the five largest freshwater lakes in China L. Li et al.
84. Evaluating precipitation datasets for large-scale distributed hydrological modelling M. Mazzoleni et al.
85. Comprehensive Evaluation of Satellite-Based Rainfall Measurements Through Rain Gauge Validation Using Advanced Statistical Regression and Machine Learning Models by Using Python K. Sumith
86. Climate-dependent propagation of precipitation uncertainty into the water cycle A. Fallah et al.
87. 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.
88. Improving the SM2RAIN-derived rainfall estimation using Bayesian optimization L. Miao et al.
89. Functional regression concurrent model with spatially correlated errors: application to rainfall ground validation J. Ospína-Galindez et al.
90. Integration of multiple drought indices using a triple collocation approach J. Baik et al.
91. High resolution (1 km-daily) potential evapotranspiration dataset over Europe and the Mediterranean region S. Bouabdelli et al.
92. Performance Assessment of SM2RAIN-CCI and SM2RAIN-ASCAT Precipitation Products over Pakistan K. Rahman et al.
93. A Fast Generative Adversarial Network Combined With Transformer for Downscaling GRACE Terrestrial Water Storage Data in Southwestern China S. Gu et al.
94. Spatiotemporal Evaluation and Estimation of Precipitation of Multi-Source Precipitation Products in Arid Areas of Northwest China—A Case Study of Tianshan Mountains X. Li et al.
95. Improving Global Monthly and Daily Precipitation Estimation by Fusing Gauge Observations, Remote Sensing, and Reanalysis Data Sets L. Xu et al.
96. SM2RAIN–ASCAT (2007–2018): global daily satellite rainfall data from ASCAT soil moisture observations L. Brocca et al.
97. Triple collocation-based merging of multi-source gridded evapotranspiration data in the Nordic Region X. Li et al.
98. Intercomparison of trend analysis of Multisatellite Monthly Precipitation Products and Gauge Measurements for River Basins of India A. Mondal et al.
99. Quantifying the Reliability and Uncertainty of Satellite, Reanalysis, and Merged Precipitation Products in Hydrological Simulations over the Topographically Diverse Basin in Southwest China H. Lei et al.
100. How to enhance the inverse distance weighting method to detect the precipitation pattern in a large-scale watershed A. Ghomlaghi et al.
101. Multi-year evaluation of CloudSat, ERA5, and IMERG global snowfall products Q. Ji et al.
102. Evaluation of a MetOp ASCAT‐Derived Surface Soil Moisture Product in Tundra Environments E. Högström et al.
103. An instrument variable based algorithm for estimating cross-correlated hydrological remote sensing errors J. Dong et al.
104. Merging Satellite Products and Rain-Gauge Observations to Improve Hydrological Simulation: A Review H. Belay et al.
105. Exploring the actual spatial resolution of 1 km satellite soil moisture products L. Brocca et al.
106. Validation of Satellite, Reanalysis and RCM Data of Monthly Rainfall in Calabria (Southern Italy) G. Caroletti et al.
107. 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.
108. Comparison of traditional method and triple collocation analysis for evaluation of multiple gridded precipitation products across Germany Z. Duan et al.
109. Triple collocation-based error estimation and data fusion of global gridded precipitation products over the Yangtze River basin C. Chen et al.
110. A review of globally available data sources for modelling the Water-Energy-Food Nexus J. Lodge et al.
111. Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS H. Beck et al.
112. Characterizing the performances of different observational precipitation products and their uncertainties over Africa B. Ayugi et al.
113. Enhancing the Australian Gridded Climate Dataset rainfall analysis using satellite data Z. Chua et al.
114. 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.
115. A combined extended triple collocation and cumulative distribution function merging framework for improved daily precipitation estimates over mainland China L. Wei et al.
116. From SMOS Soil Moisture to 3-hour Precipitation Estimates at 0.1° Resolution in Africa T. Pellarin et al.
117. On the performance of satellite precipitation products in riverine flood modeling: A review V. Maggioni & C. Massari
118. The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison T. Pellarin et al.