194 citations as recorded by crossref.

1. Identifying changing precipitation extremes in Sub-Saharan Africa with gauge and satellite products L. Harrison et al. https://doi.org/10.1088/1748-9326/ab2cae
2. Rainfall Estimates on a Gridded Network (REGEN) – a global land-based gridded dataset of daily precipitation from 1950 to 2016 S. Contractor et al. https://doi.org/10.5194/hess-24-919-2020
3. Evaluation of precipitation trends from high-resolution satellite precipitation products over Mainland China F. Chen & Y. Gao https://doi.org/10.1007/s00382-018-4080-z
4. Contributions to the Improvement of Climate Data Availability and Quality for Sub-Saharan Africa F. Kaspar et al. https://doi.org/10.3389/fclim.2021.815043
5. Inter-product biases in extreme precipitation duration and frequency across China J. Lu et al. https://doi.org/10.1088/1748-9326/ad7f73
6. Evaluation of diverse-based precipitation data over the Amazon Region C. Sapucci et al. https://doi.org/10.1007/s00704-022-04087-4
7. Selecting CMIP6 global climate models (GCMs) for Coordinated Regional Climate Downscaling Experiment (CORDEX) dynamical downscaling over Southeast Asia using a standardised benchmarking framework P. Nguyen et al. https://doi.org/10.5194/gmd-17-7285-2024
8. Decadal covariability of Atlantic SSTs and western Amazon dry‐season hydroclimate in observations and CMIP5 simulations K. Fernandes et al. https://doi.org/10.1002/2015GL063911
9. G2DC-PL+: a gridded 2 km daily climate dataset for the union of the Polish territory and the Vistula and Odra basins M. Piniewski et al. https://doi.org/10.5194/essd-13-1273-2021
10. Volta basin precipitation and temperature climatology: evaluation of CORDEX-Africa regional climate model simulations G. Okafor et al. https://doi.org/10.1007/s00704-018-2746-4
11. Inter-comparison of spatiotemporal features of precipitation extremes within six daily precipitation products S. Chen et al. https://doi.org/10.1007/s00382-019-05045-z
12. From rain to data: A review of the creation of monthly and daily station‐based gridded precipitation datasets R. Serrano‐Notivoli & E. Tejedor https://doi.org/10.1002/wat2.1555
13. Variability, Trend, and Extremes of the South American Vegetation‐Climate System: Results From a Coupled Regional Model A. Erfanian et al. https://doi.org/10.1029/2021JD035691
14. Global evaluation of terrestrial evaporation trend from diagnostic products F. Ruan et al. https://doi.org/10.1016/j.jhydrol.2025.132979
15. Urbanization’s dual role in the exacerbation and mitigation of drought dynamics in China K. Alsafadi et al. https://doi.org/10.1038/s42949-025-00267-z
16. Rainfall estimation by inverting SMOS soil moisture estimates: A comparison of different methods over Australia L. Brocca et al. https://doi.org/10.1002/2016JD025382
17. Evaluation of IMERG climate trends over land in the TRMM and GPM eras S. Zhu et al. https://doi.org/10.1088/1748-9326/ad984e
18. A Global ETCCDI-Based Precipitation Climatology from Satellite and Rain Gauge Measurements F. Dietzsch et al. https://doi.org/10.3390/cli5010009
19. Satellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region S. Kagone et al. https://doi.org/10.1016/j.jaridenv.2023.105010
20. Global monsoon in ICON: the scale-dependent response of Northern Hemisphere monsoons P. Pothapakula et al. https://doi.org/10.5194/wcd-7-979-2026
21. Evaluation of a combined drought indicator against crop yield estimations and simulations over the Argentine Humid Pampas S. C. et al. https://doi.org/10.1007/s00704-024-05073-8
22. Evaluating three satellite-based precipitation products of different spatial resolutions in Shanghai based on upscaling of rain gauge W. Li et al. https://doi.org/10.1080/01431161.2019.1584686
23. On the Robustness of Annual Daily Precipitation Maxima Estimates Over Monsoon Asia P. Nguyen et al. https://doi.org/10.3389/fclim.2020.578785
24. Improving continental hydrological models for future climate conditions via multi-objective optimisation W. Sharples et al. https://doi.org/10.1016/j.envsoft.2024.106018
25. Rainfall characteristics over the Congo Air Boundary Region in southern Africa: A comparison of station and gridded rainfall products M. Maphugwi et al. https://doi.org/10.1016/j.atmosres.2024.107718
26. Impact of anthropogenic warming on emergence of extreme precipitation over global land monsoon area S. Moon et al. https://doi.org/10.1088/1748-9326/ad2890
27. Updates to C-LSAT 2.1 and the development of high-resolution land surface air temperature and diurnal temperature range datasets S. Wei et al. https://doi.org/10.5194/essd-17-4985-2025
28. Satellite-Based Rainfall Retrieval: From Generalized Linear Models to Artificial Neural Networks L. Beusch et al. https://doi.org/10.3390/rs10060939
29. From extreme days to event-scale persistence: Characterizing for persistent extreme precipitation across multisource datasets Z. Zhao et al. https://doi.org/10.1016/j.wace.2026.100905
30. Spatio-temporal assessment of Gridded precipitation products across topographic and climatic gradients in Colombia S. Valencia et al. https://doi.org/10.1016/j.atmosres.2023.106643
31. Examining the North Atlantic Oscillation, East Atlantic Pattern, and Jet Variability since 1685 J. Mellado-Cano et al. https://doi.org/10.1175/JCLI-D-19-0135.1
32. Evaluation of GPM IMERG-FR Product for Computing Rainfall Erosivity for Mainland China W. Wang et al. https://doi.org/10.3390/rs16071186
33. Towards a historical precipitation database for West Africa: Overview, quality control and harmonization J. Bliefernicht et al. https://doi.org/10.1002/joc.7467
34. The 5th generation regional climate modeling system, RegCM5: the first convection-permitting European wide simulation and validation over the CORDEX-CORE domains E. Coppola et al. https://doi.org/10.1007/s00382-025-07913-3
35. Climatic factors controlling interannual variability of the onset of vegetation phenology in the northern Sub‐Saharan Africa from 1988 to 2013 C. Agossou & S. Kang https://doi.org/10.1111/aje.12699
36. More intense daily precipitation in CORDEX‐SEA regional climate models than their forcing global climate models over Southeast Asia P. Nguyen et al. https://doi.org/10.1002/joc.7619
37. Evaluation and Hydrological Application of Four Gridded Precipitation Datasets over a Large Southeastern Tibetan Plateau Basin Y. Zhang et al. https://doi.org/10.3390/rs14122936
38. Fidelity of CMIP6 Models in Simulating June–September Rainfall Climatology, Spatial and Trend Patterns Over Complex Topography of Greater Horn of Africa W. Jima et al. https://doi.org/10.1007/s00024-023-03414-8
39. Evaluating precipitation datasets for large-scale distributed hydrological modelling M. Mazzoleni et al. https://doi.org/10.1016/j.jhydrol.2019.124076
40. Evaluation of New CORDEX Simulations Using an Updated Köppen–Trewartha Climate Classification A. Remedio et al. https://doi.org/10.3390/atmos10110726
41. Application of a Conceptual Hydrological Model for Streamflow Prediction Using Multi-Source Precipitation Products in a Semi-Arid River Basin M. Usman et al. https://doi.org/10.3390/w14081260
42. Precipitation Regime Classification Based on Cloud-Top Temperature Time Series for Spatially-Varied Parameterization of Precipitation Models S. Lu et al. https://doi.org/10.3390/rs12020289
43. HRLT: a high-resolution (1 d, 1 km) and long-term (1961–2019) gridded dataset for surface temperature and precipitation across China R. Qin et al. https://doi.org/10.5194/essd-14-4793-2022
44. Relationship Between the Aerosol Loadings Over the Bay of Bengal and the Arabian Sea in the Early Summer and Asian Monsoon Rainfall Anomalies, and the Role of SST Anomalies in the Indian Ocean Y. Zhang et al. https://doi.org/10.1029/2022JD038112
45. Linking subtropical jet persistence to early-spring heat events in South and West Asia A. Banerjee et al. https://doi.org/10.1088/2752-5295/ae5417
46. Validation of IMERG Precipitation in Africa A. Dezfuli et al. https://doi.org/10.1175/JHM-D-17-0139.1
47. Adjustment of spatio-temporal precipitation patterns in a high Alpine environment M. Herrnegger et al. https://doi.org/10.1016/j.jhydrol.2016.04.068
48. Using daily vegetation and precipitation products to study drought events in the Horn of Africa R. D’Ercole et al. https://doi.org/10.1016/j.jag.2025.104837
49. Changes in Observed Daily Precipitation over Global Land Areas since 1950 S. Contractor et al. https://doi.org/10.1175/JCLI-D-19-0965.1
50. Uncertainty in different precipitation products in the case of two atmospheric river events A. Ramos et al. https://doi.org/10.1088/1748-9326/abe25b
51. Evaluation of TAPEER daily estimates and other GPM‐era products against dense gauge networks in West Africa, analysing ground reference uncertainty M. Gosset et al. https://doi.org/10.1002/qj.3335
52. Significant spatial patterns from the GCM seasonal forecasts of global precipitation T. Zhao et al. https://doi.org/10.5194/hess-24-1-2020
53. Changes in vegetation greenness and its response to precipitation seasonality in Central Asia from 1982 to 2022 Y. Su et al. https://doi.org/10.1088/1748-9326/acf58e
54. Machine learning approaches for improving near-real-time IMERG rainfall estimates by integrating Cloud Properties from NOAA CDR PATMOSX Z. Zhang et al. https://doi.org/10.1175/JHM-D-21-0019.1
55. Integrating Open-Source Datasets to Analyze the Transboundary Water–Food–Energy–Climate Nexus in Central Asia J. De Keyser et al. https://doi.org/10.3390/w15193482
56. A new daily gridded precipitation dataset for the Chinese mainland based on gauge observations J. Han et al. https://doi.org/10.5194/essd-15-3147-2023
57. Development of a near‐real‐time global in situ daily precipitation dataset for 0000–0000 UTC S. Yang et al. https://doi.org/10.1002/joc.6367
58. CPLFD-GDPT5: High-resolution gridded daily precipitation and temperature data set for two largest Polish river basins T. Berezowski et al. https://doi.org/10.5194/essd-8-127-2016
59. Distributional added value analysis of daily CORDEX-CORE RegCM4-7 historical precipitation simulations over Africa G. Gnitou et al. https://doi.org/10.1016/j.atmosres.2023.106818
60. NowCasting-Nets: Representation Learning to Mitigate Latency Gap of Satellite Precipitation Products Using Convolutional and Recurrent Neural Networks M. Ehsani et al. https://doi.org/10.1109/TGRS.2022.3158888
61. Atmospheric processes triggering the central European floods in June 2013 C. Grams et al. https://doi.org/10.5194/nhess-14-1691-2014
62. Evaluation of six precipitation products in the Mekong River Basin W. Tian et al. https://doi.org/10.1016/j.atmosres.2021.105539
63. 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
64. Analysis of fingerprint-derived geocentre motion time-series using multichannel singular spectrum analysis H. Yu et al. https://doi.org/10.1093/gji/ggaf310
65. Unraveling the relationship between surface deformation and groundwater dynamics in karst terrains using multi-source remote sensing data S. Gu et al. https://doi.org/10.1016/j.jhydrol.2025.134129
66. Soil as a natural rain gauge: Estimating global rainfall from satellite soil moisture data L. Brocca et al. https://doi.org/10.1002/2014JD021489
67. Assessment of Rainfall Frequencies from Global Precipitation Datasets X. Yin et al. https://doi.org/10.3390/atmos16010066
68. An assessment of the present hydroclimatic regime of the Madeira River basin using climate and hydrological models L. Vergasta et al. https://doi.org/10.1080/02626667.2023.2216844
69. Evaluating historical climate extremes in the FGOALS-g3 large ensemble in the presence of internal climate variability W. Zhang et al. https://doi.org/10.1007/s00382-023-06842-3
70. A machine learning-based backward extension of IMERG daily precipitation over the Greater Alpine Region I. Goudarzi et al. https://doi.org/10.1016/j.atmosres.2026.108763
71. Characteristics of extreme rainfall in different gridded datasets over India during 1983–2015 S. Bhattacharyya et al. https://doi.org/10.1016/j.atmosres.2021.105930
72. Intercomparison of gridded global precipitation data for arid and mountainous regions: A case study of Afghanistan A. Samim et al. https://doi.org/10.1016/j.ejrh.2024.101837
73. ENSO-based outlook of droughts and agricultural outcomes in Afghanistan S. Shukla et al. https://doi.org/10.1016/j.wace.2024.100697
74. Validating the IMERG remote sensing precipitation data for extremes analysis using the new hybrid depth duration frequency model K. Ekpetere https://doi.org/10.1016/j.rsase.2025.101547
75. High-Resolution Temperature Datasets in Portugal from a Geostatistical Approach: Variability and Extremes A. Fonseca & J. Santos https://doi.org/10.1175/JAMC-D-17-0215.1
76. How Does Snow Persistence Relate to Annual Streamflow in Mountain Watersheds of the Western U.S. With Wet Maritime and Dry Continental Climates? J. Hammond et al. https://doi.org/10.1002/2017WR021899
77. Atlantic Multidecadal Variability and the U.K. ACSIS Program R. Sutton et al. https://doi.org/10.1175/BAMS-D-16-0266.1
78. Two summers of São Paulo drought: Origins in the western tropical Pacific A. Seth et al. https://doi.org/10.1002/2015GL066314
79. Evaluation of Gridded Precipitation Data for Hydrologic Modeling in North-Central Texas R. Ray et al. https://doi.org/10.3390/rs14163860
80. Interpolation of Missing Precipitation Data Using Kernel Estimations for Hydrologic Modeling H. Lee & K. Kang https://doi.org/10.1155/2015/935868
81. Testing the mHM-MPR Reliability for Parameter Transferability across Locations in North–Central Nigeria K. Ogbu et al. https://doi.org/10.3390/hydrology9090158
82. Evaluation of Global Gridded Precipitation and Temperature Datasets against Gauged Observations over the Upper Tekeze River Basin, Ethiopia K. Reda et al. https://doi.org/10.1007/s13351-021-0199-7
83. Historical Trends and Characteristics of Meteorological Drought Based on Standardized Precipitation Index and Standardized Precipitation Evapotranspiration Index over the Past 70 Years in China (1951–2020) J. Sun et al. https://doi.org/10.3390/su151410875
84. A System of Models for Studying the Impact of Hydropower Plants Planned in Mongolia on the Hydrological Regime of the Russian Part of the Selenga River Basin . Nikitin et al. https://doi.org/10.25729/esr.2025.04.0013
85. New observational insights into the atmospheric circulation over the Euro-Atlantic sector since 1685 J. Mellado-Cano et al. https://doi.org/10.1007/s00382-019-05029-z
86. Changes in compound drought-heat events over Brazil’s Pantanal wetland: an assessment using remote sensing data and multiple drought indicators A. Cunha et al. https://doi.org/10.1007/s00382-023-06937-x
87. A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons Q. Sun et al. https://doi.org/10.1002/2017RG000574
88. FROGS: a daily 1°  ×  1° gridded precipitation database of rain gauge, satellite and reanalysis products R. Roca et al. https://doi.org/10.5194/essd-11-1017-2019
89. Land–atmosphere feedbacks weaken the risks of precipitation extremes over Australia in a warming climate M. Chang et al. https://doi.org/10.1016/j.accre.2024.08.005
90. 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
91. Estimating Rainfall Anomalies with IMERG Satellite Data: Access via the IPE Web Application K. Ekpetere et al. https://doi.org/10.3390/rs16224137
92. Toward a self-calibrated and independent SM2RAIN rainfall product P. Filippucci et al. https://doi.org/10.1016/j.jhydrol.2021.126837
93. The Mediterranean climate change hotspot in the CMIP5 and CMIP6 projections J. Cos et al. https://doi.org/10.5194/esd-13-321-2022
94. County‐Scale Rainwater Harvesting Feasibility in the United States: Climate, Collection Area, Density, and Reuse Considerations M. Ennenbach et al. https://doi.org/10.1111/1752-1688.12607
95. Assessments of multiple gridded‐rainfall datasets for characterizing the precipitation concentration index and its trends in India S. Bhattacharyya & S. Sreekesh https://doi.org/10.1002/joc.7412
96. Predicting Changes in Forest Growing Season (FGS) in the Transitional Climate of Poland on the Basis of Current Grid Datasets B. Wertz & S. Wilczyński https://doi.org/10.3390/f13122019
97. Assessing predictive attribution in NMME forecasts of summer precipitation in eastern china using deep learning X. Tong & W. Zhou https://doi.org/10.1038/s41612-024-00835-7
98. Comparison of IDW, Kriging and orographic based linear interpolations of rainfall in six rainfall regimes of Ethiopia H. Workneh et al. https://doi.org/10.1016/j.ejrh.2024.101696
99. Evaluating IMERG Satellite Precipitation-Based Design Storms in the Conterminous U.S. Using NOAA Atlas Datasets K. Ekpetere et al. https://doi.org/10.3390/w17172602
100. CERA‐20C: A Coupled Reanalysis of the Twentieth Century P. Laloyaux et al. https://doi.org/10.1029/2018MS001273
101. Hydrologic Utility of Satellite-Based and Gauge-Based Gridded Precipitation Products in the Huai Bang Sai Watershed of Northeastern Thailand M. Gunathilake et al. https://doi.org/10.3390/hydrology8040165
102. TPHiPr: a long-term (1979–2020) high-accuracy precipitation dataset (1∕30°, daily) for the Third Pole region based on high-resolution atmospheric modeling and dense observations Y. Jiang et al. https://doi.org/10.5194/essd-15-621-2023
103. How accurate are the performances of gridded precipitation data products over Northeast China? M. Faiz et al. https://doi.org/10.1016/j.atmosres.2018.05.006
104. A comparative analysis of CMIP5 and CMIP6 ensembles in attribution of global land extreme precipitation events Q. Chen et al. https://doi.org/10.1007/s10584-026-04238-w
105. Evaluation of coupled model intercomparison project phase 6 models in simulating precipitation and its possible relationship with sea surface temperature over Myanmar Z. Sein et al. https://doi.org/10.3389/fenvs.2022.993802
106. Quantifying the long-term changes of terrestrial water storage and their driving factors X. Shi et al. https://doi.org/10.1016/j.jhydrol.2024.131096
107. Spatial Bias in Medium-Range Forecasts of Heavy Precipitation in the Sacramento River Basin: Implications for Water Management Z. Brodeur & S. Steinschneider https://doi.org/10.1175/JHM-D-19-0226.1
108. Assessment of mean precipitation and precipitation extremes in Iran as simulated by dynamically downscaled RegCM4 A. Zarrin & A. Dadashi-Roudbari https://doi.org/10.1016/j.dynatmoce.2024.101452
109. Application of Machine Learning and Remote Sensing for Gap-filling Daily Precipitation Data of a Sparsely Gauged Basin in East Africa M. Faramarzzadeh et al. https://doi.org/10.1007/s40710-023-00625-y
110. Multi-Criteria Performance Evaluation of Gridded Precipitation and Temperature Products in Data-Sparse Regions I. Lawal et al. https://doi.org/10.3390/atmos12121597
111. Simulating streamflow in a transboundary river catchment: The implications of hybrid rainfall data F. Wambura https://doi.org/10.1016/j.pce.2024.103717
112. Daily and Monthly Scale Comparisons of Three Gridded Precipitation Datasets over the British Columbia Province, Canada R. Ogawa et al. https://doi.org/10.3390/hydrology13020052
113. Development of a 0.5° global monthly raining day product from 1901 to 2010 S. Stillman & X. Zeng https://doi.org/10.1002/2016GL070244
114. An R package for daily precipitation climate series reconstruction R. Serrano-Notivoli et al. https://doi.org/10.1016/j.envsoft.2016.11.005
115. Precipitation variability using GPCC data and its relationship with atmospheric teleconnections in Northeast Brazil D. dos Santos et al. https://doi.org/10.1007/s00382-023-06838-z
116. Assessing applicability of two gridded precipitation datasets for hydrological simulation in a poorly gauged river basin towards supporting sustainable water resources management L. Nguyen et al. https://doi.org/10.1016/j.envres.2023.116956
117. A Comparison between the Rainfall Observation and Global Rainfall Data Including Satellite and Reanalysis K. Toubi https://doi.org/10.4236/acs.2026.161013
118. Use of SMAP Soil Moisture and Fitting Methods in Improving GPM Estimation in Near Real Time Z. Zhang et al. https://doi.org/10.3390/rs11030368
119. Random Forest-Based Reconstruction and Application of the GRACE Terrestrial Water Storage Estimates for the Lancang-Mekong River Basin S. Tang et al. https://doi.org/10.3390/rs13234831
120. MOPREDAScentury: a long-term monthly precipitation grid for the Spanish mainland S. Beguería et al. https://doi.org/10.5194/essd-15-2547-2023
121. More concentrated precipitation decreases terrestrial water storage C. Lesk & J. Mankin https://doi.org/10.1038/s41586-026-10487-7
122. A new Budyko framework extension using time series SARIMAX model M. Fathi et al. https://doi.org/10.1016/j.jhydrol.2019.01.037
123. A warming-drying climate hits Yunnan, Southwest China, during the past half century Z. Dong et al. https://doi.org/10.1007/s00382-025-07806-5
124. SPREAD: a high-resolution daily gridded precipitation dataset for Spain – an extreme events frequency and intensity overview R. Serrano-Notivoli et al. https://doi.org/10.5194/essd-9-721-2017
125. A multi-scale assessment of the effects of runoff/sediment discharge in karst catchments as shown by vegetation-related remote sensing indicators H. Xin et al. https://doi.org/10.1016/j.rse.2026.115324
126. Evaluation of the Performance of CMIP6 HighResMIP on West African Precipitation F. Ajibola et al. https://doi.org/10.3390/atmos11101053
127. Multi-Scenario Integration Comparison of CMADS and TMPA Datasets for Hydro-Climatic Simulation over Ganjiang River Basin, China Q. Wang et al. https://doi.org/10.3390/w12113243
128. The application of satellite sensors, current state of utilization, and sources of remote sensing dataset in hydrology for water resource management D. Abegeja https://doi.org/10.2166/wh.2024.102
129. UKESM1: Description and Evaluation of the U.K. Earth System Model A. Sellar et al. https://doi.org/10.1029/2019MS001739
130. Determination of regolith production rates from 238U-234U-230Th disequilibrium in deep weathering profiles (Longnan, SE China) G. Jia et al. https://doi.org/10.1016/j.chemgeo.2021.120241
131. A Cases Study Of Mongolian Cyclogenesis During The July 2018 Blocking Events O. Antokhina et al. https://doi.org/10.24057/2071-9388-2019-14
132. Extreme precipitation indices over the Volta Basin: CMIP6 model evaluation J. Agyekum et al. https://doi.org/10.1016/j.sciaf.2022.e01181
133. A multilayer daily high‐resolution gridded homogenized soil temperature over continental China D. Wang et al. https://doi.org/10.1002/joc.7959
134. Investigation of satellite-related precipitation products for modeling of rainfed wheat production systems A. Araghi et al. https://doi.org/10.1016/j.agwat.2021.107222
135. Benefits of representing floodplains in a Land Surface Model: Pantanal simulated with ORCHIDEE CMIP6 version A. Schrapffer et al. https://doi.org/10.1007/s00382-020-05324-0
136. Global Soil Moisture Estimation based on GPM IMERG Data using a Site Specific Adjusted Antecedent Precipitation Index T. Ramsauer & P. Marzahn https://doi.org/10.1080/01431161.2022.2162351
137. Euro-Atlantic Atmospheric Circulation during the Late Maunder Minimum J. Mellado-Cano et al. https://doi.org/10.1175/JCLI-D-17-0261.1
138. Indicators of Global Climate Change 2024: annual update of key indicators of the state of the climate system and human influence P. Forster et al. https://doi.org/10.5194/essd-17-2641-2025
139. Improving Boreal Summer Precipitation Predictions From the Global NMME Through Res34‐Unet X. Tong et al. https://doi.org/10.1029/2023GL106391
140. Remapping annual precipitation in mountainous areas based on vegetation patterns: a case study in the Nu River basin X. Zhou et al. https://doi.org/10.5194/hess-21-999-2017
141. Evaluation of Accuracy and Streamflow Simulation of Satellite Precipitation on Nu Basin 星. 周 https://doi.org/10.12677/JWRR.2019.82015
142. Regime shifts of the wet and dry seasons in the tropics under global warming J. Guo et al. https://doi.org/10.1088/1748-9326/ac9328
143. Intercomparison of Gridded Precipitation Datasets over a Sub-Region of the Central Himalaya and the Southwestern Tibetan Plateau A. Hamm et al. https://doi.org/10.3390/w12113271
144. Evaluation and multimodel projection of seasonal precipitation extremes over central Asia based on CMIP6 simulations V. Dike et al. https://doi.org/10.1002/joc.7641
145. Heightened fire probability in Indonesia in non-drought conditions: the effect of increasing temperatures K. Fernandes et al. https://doi.org/10.1088/1748-9326/aa6884
146. SC-Earth: A Station-Based Serially Complete Earth Dataset from 1950 to 2019 G. Tang et al. https://doi.org/10.1175/JCLI-D-21-0067.1
147. Forecasting Global Rainfall in a Changing Climate: A Machine Learning Approach Using Köppen-Geiger Zones Z. Wang et al. https://doi.org/10.1007/s41748-025-00876-9
148. Impacts of improved horizontal resolutions in the simulations of mean and extreme precipitation using CMIP6 HighResMIP models over West Africa F. Ajibola & S. Afolayan https://doi.org/10.1007/s10661-024-12492-7
149. Saigas on the brink: Multidisciplinary analysis of the factors influencing mass mortality events R. Kock et al. https://doi.org/10.1126/sciadv.aao2314
150. Climatic Criteria of the Need for Preventive Adaptation A. Ginzburg et al. https://doi.org/10.1134/S0001433822060068
151. Assessment of Gridded CRU TS Data for Long-Term Climatic Water Balance Monitoring over the São Francisco Watershed, Brazil P. Mutti et al. https://doi.org/10.3390/atmos11111207
152. NWP-Based Adjustment of IMERG Precipitation for Flood-Inducing Complex Terrain Storms: Evaluation over CONUS X. Zhang et al. https://doi.org/10.3390/rs10040642
153. Monsoon dynamics and future projections in the Himalaya: Insights into sea surface temperature, sea level pressure relationships, and future flood risks M. Shekhar et al. https://doi.org/10.1016/j.dynatmoce.2025.101558
154. Near real-time flood forecasting system for the Greater Chao Phraya River Basin P. Polsomboon et al. https://doi.org/10.1016/j.jhydrol.2024.132353
155. Global Impacts of the Madden-Julian Oscillation J. Lin & H. Lin https://doi.org/10.1080/07055900.2025.2522833
156. Hidden treasure of the Gobi: understanding how water limits range use of khulan in the Mongolian Gobi J. Payne et al. https://doi.org/10.1038/s41598-020-59969-2
157. Modeling streamflow using multiple precipitation products in a topographically complex catchment M. Usman et al. https://doi.org/10.1007/s40808-021-01198-1
158. The SAFRAN daily gridded precipitation product in Tunisia (1979–2015) Y. Tramblay et al. https://doi.org/10.1002/joc.6181
159. Optimizing Regional Climate Model Output for Hydro-Climate Applications in the Eastern Nile Basin M. Osman et al. https://doi.org/10.1007/s41748-021-00222-9
160. Constraining low-frequency variability in climate projections to predict climate on decadal to multi-decadal timescales – a poor man's initialized prediction system R. Mahmood et al. https://doi.org/10.5194/esd-13-1437-2022
161. The new portfolio of global precipitation data products of the Global Precipitation Climatology Centre suitable to assess and quantify the global water cycle and resources U. Schneider et al. https://doi.org/10.5194/piahs-374-29-2016
162. GSDR: A Global Sub-Daily Rainfall Dataset E. Lewis et al. https://doi.org/10.1175/JCLI-D-18-0143.1
163. PPDIST, global 0.1° daily and 3-hourly precipitation probability distribution climatologies for 1979–2018 H. Beck et al. https://doi.org/10.1038/s41597-020-00631-x
164. Review of European Databases of Inland Waters Used in the MARS Spatial Database Development for the Purpose of Multiple Pressure Analysis L. Globevnik et al. https://doi.org/10.15292/acta.hydro.2018.07
165. The impact of the resolution of meteorological data sets on catchment‐scale precipitation and drought studies J. Hellwig et al. https://doi.org/10.1002/joc.5483
166. Evaluation of climate model simulations in representing the precipitation non‐stationarity by considering observational uncertainties Y. Wan et al. https://doi.org/10.1002/joc.6940
167. Development and evaluation of the modified and standardized rainfall anomaly indices for extreme variability analysis K. Ekpetere https://doi.org/10.1016/j.jenvman.2025.124160
168. GNSS PPP with different troposphere models during severe weather conditions E. Tunalı & M. Özlüdemir https://doi.org/10.1007/s10291-019-0874-7
169. An assessment of the performance of global rainfall estimates without ground-based observations C. Massari et al. https://doi.org/10.5194/hess-21-4347-2017
170. Intercomparison of annual precipitation indices and extremes over global land areas from in situ, space-based and reanalysis products L. Alexander et al. https://doi.org/10.1088/1748-9326/ab79e2
171. SC-PREC4SA: A serially complete daily precipitation dataset for South America A. Huerta et al. https://doi.org/10.1038/s41597-025-05312-1
172. 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
173. The Effect of Dam Construction on the Uldza River in Mongolia on the Hydrological Regime of the Torey Lakes V. Nikitin et al. https://doi.org/10.1134/S1875372823010055
174. Atmospheric tropical modes are important drivers of Sahelian springtime heatwaves K. Guigma et al. https://doi.org/10.1007/s00382-020-05569-9
175. GPEP v1.0: the Geospatial Probabilistic Estimation Package to support Earth science applications G. Tang et al. https://doi.org/10.5194/gmd-17-1153-2024
176. A Review of Data for Compound Drought and Heatwave Stress Impacts on Crops: Current Progress, Knowledge Gaps, and Future Pathways Y. Li et al. https://doi.org/10.3390/plants14142158
177. Identification and inter‐comparison of appropriate long‐term precipitation datasets using decision tree model and statistical matrix over China M. Faiz et al. https://doi.org/10.1002/joc.7113
178. Feasibility of Downscaling Satellite-Based Precipitation Estimates Using Soil Moisture Derived from Land Surface Temperature A. Strehz et al. https://doi.org/10.3390/atmos14030435
179. Analysis of hydrological drought and TWS-related drivers in Yunnan Province Using GNSS-derived TWS, multi-source hydrological data and the XGBoost model Y. Su et al. https://doi.org/10.1016/j.ejrh.2026.103120
180. Probability of dry and wet spells over West Africa during the summer monsoon season B. Jules et al. https://doi.org/10.5897/SRE2021.6718
181. Measuring, modelling and managing gully erosion at large scales: A state of the art M. Vanmaercke et al. https://doi.org/10.1016/j.earscirev.2021.103637
182. Indicators of Global Climate Change 2025: annual update of key indicators of the state of the climate system and human influence P. Forster et al. https://doi.org/10.5194/essd-18-3889-2026
183. Performance of Remotely Sensed Soil Moisture for Temporal and Spatial Analysis of Rainfall over São Francisco River Basin, Brazil J. Souto et al. https://doi.org/10.3390/geosciences9030144
184. 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
185. Monitoring and Predictive Estimations of Atmospheric Parameters in the Catchment Area of Lake Baikal N. Abasov et al. https://doi.org/10.3390/atmos13010049
186. EMO-5: a high-resolution multi-variable gridded meteorological dataset for Europe V. Thiemig et al. https://doi.org/10.5194/essd-14-3249-2022
187. Evaluation of TerraClimate gridded data across diverse climates in Iran A. Araghi et al. https://doi.org/10.1007/s12145-023-00967-z
188. Recent grain production boom in Russia in historical context A. Kirilenko & N. Dronin https://doi.org/10.1007/s10584-022-03332-z
189. ESTIMATION OF EVAPORATION FROM OGII LAKE USING THE ENERGY BUDGET METHOD M. AMGALAN et al. https://doi.org/10.2208/jscejer.76.5_I_301
190. 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
191. Revisiting the PMP return periods: A Case study of IMERG data in CONUS K. Ekpetere et al. https://doi.org/10.1016/j.teadva.2024.200120
192. Correction of real-time satellite precipitation with satellite soil moisture observations W. Zhan et al. https://doi.org/10.5194/hess-19-4275-2015
193. Assessment of the hydrological impact of an hourly precipitation distribution correction method in the SASER modeling system O. Cenobio-Cruz et al. https://doi.org/10.1016/j.jhydrol.2024.131136
194. RADOLAN_API: An Hourly Soil Moisture Data Set Based on Weather Radar, Soil Properties and Reanalysis Temperature Data T. Ramsauer et al. https://doi.org/10.3390/rs13091712