77 citations as recorded by crossref.

1. Radar-derived precipitation climatology for wind turbine blade leading edge erosion F. Letson et al. https://doi.org/10.5194/wes-5-331-2020
2. Mesoscale Convective Systems in Northeastern North America: identification and evaluation with the convection-permitting version of the Canadian Regional Climate Model M. Alpizar et al. https://doi.org/10.1007/s00382-026-08102-6
3. Extreme value metastatistical analysis of remotely sensed rainfall in ungauged areas: Spatial downscaling and error modelling E. Zorzetto & M. Marani https://doi.org/10.1016/j.advwatres.2019.103483
4. Evaluation of Radar Quantitative Precipitation Estimates (QPEs) as an Input of Hydrological Models for Hydrometeorological Applications D. Wijayarathne et al. https://doi.org/10.1175/JHM-D-20-0033.1
5. 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
6. Development and Assessment of High-Resolution Radar-Based Precipitation Intensity-Duration-Curve (IDF) Curves for the State of Texas D. Ghebreyesus & H. Sharif https://doi.org/10.3390/rs13152890
7. NPreciSe - An Automated Satellite Precipitation Product Assessment Tool M. Arulraj et al. https://doi.org/10.1038/s41597-024-03877-x
8. Hydrological evaluation of hourly merged satellite–station precipitation product in the mountainous basin of China using a distributed hydrological model D. Zhu et al. https://doi.org/10.1002/met.1909
9. Spatial and Temporal Analysis of Precipitation and Effective Rainfall Using Gauge Observations, Satellite, and Gridded Climate Data for Agricultural Water Management in the Upper Colorado River Basin M. Aboutalebi et al. https://doi.org/10.3390/rs10122058
10. Estimating Spatially Explicit Irrigation Water Use Based on Remotely Sensed Evapotranspiration and Modeled Root Zone Soil Moisture C. Zhang & D. Long https://doi.org/10.1029/2021WR031382
11. Neglecting Model Parametric Uncertainty Can Drastically Underestimate Flood Risks S. Sharma et al. https://doi.org/10.1029/2022EF003050
12. A Regional Blended Precipitation Dataset over Pakistan Based on Regional Selection of Blending Satellite Precipitation Datasets and the Dynamic Weighted Average Least Squares Algorithm K. Rahman & S. Shang https://doi.org/10.3390/rs12244009
13. Quality control of the composite radar quantitative precipitation estimation product for Great Britain X. Qiu et al. https://doi.org/10.1016/j.jhydrol.2025.134755
14. Assessment of WRF (v 4.2.1) dynamically downscaled precipitation on subdaily and daily timescales over CONUS A. Srivastava et al. https://doi.org/10.5194/gmd-16-3699-2023
15. Characterization of precipitation product errors across the United States using multiplicative triple collocation S. Alemohammad et al. https://doi.org/10.5194/hess-19-3489-2015
16. Evaluation of Subseasonal-to-Seasonal (S2S) precipitation forecast from the North American Multi-Model ensemble phase II (NMME-2) over the contiguous U.S. L. Zhang et al. https://doi.org/10.1016/j.jhydrol.2021.127058
17. Improving Subseasonal-to-Seasonal forecasts in predicting the occurrence of extreme precipitation events over the contiguous U.S. using machine learning models L. Zhang et al. https://doi.org/10.1016/j.atmosres.2022.106502
18. Current and future rainfall-driven flood risk from hurricanes in Puerto Rico under 1.5 and 2 °C climate change L. Archer et al. https://doi.org/10.5194/nhess-24-375-2024
19. Development of a Model Performance Metric and Its Application to Assess Summer Precipitation over the U.S. Great Plains in Downscaled Climate Simulations B. Tian et al. https://doi.org/10.1175/JHM-D-17-0045.1
20. Applicability of TRMM Precipitation for Hydrologic Modeling in a Basin in the Northeast Brazilian Agreste M. Soares Cruz et al. https://doi.org/10.1590/0102-7786331013
21. A parallel workflow implementation for PEST version 13.6 in high-performance computing for WRF-Hydro version 5.0: a case study over the midwestern United States J. Wang et al. https://doi.org/10.5194/gmd-12-3523-2019
22. A two-stage blending approach for merging multiple satellite precipitation estimates and rain gauge observations: an experiment in the northeastern Tibetan Plateau Y. Ma et al. https://doi.org/10.5194/hess-25-359-2021
23. Spatial-temporal variations in evapotranspiration across the continental United States: An atmospheric water balance perspective S. Shang et al. https://doi.org/10.1016/j.jhydrol.2024.131699
24. Time Series Analysis of Monthly and Annual Precipitation in The State of Texas Using High-Resolution Radar Products D. Ghebreyesus & H. Sharif https://doi.org/10.3390/w13070982
25. 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
26. Precipitation Data Accuracy and Extreme Rainfall Detection for Flood Risk Analysis in the Akçay Sub-Basin V. Lakshmi et al. https://doi.org/10.3390/rs17183199
27. An evaluation of dynamical downscaling of Central Plains summer precipitation using a WRF‐based regional climate model at a convection‐permitting 4 km resolution X. Sun et al. https://doi.org/10.1002/2016JD024796
28. Ensemble Streamflow Forecasting across the U.S. Mid-Atlantic Region with a Distributed Hydrological Model Forced by GEFS Reforecasts R. Siddique & A. Mejia https://doi.org/10.1175/JHM-D-16-0243.1
29. Object-Based Comparison of Data-Driven and Physics-Driven Satellite Estimates of Extreme Rainfall Z. Li et al. https://doi.org/10.1175/JHM-D-20-0041.1
30. Intermittency in Precipitation: Duration, Frequency, Intensity, and Amounts Using Hourly Data K. Trenberth et al. https://doi.org/10.1175/JHM-D-16-0263.1
31. Precipitation Dynamical Downscaling Over the Great Plains X. Hu et al. https://doi.org/10.1002/2017MS001154
32. Microwave retrievals of soil moisture and vegetation optical depth with improved resolution using a combined constrained inversion algorithm: Application for SMAP satellite L. Gao et al. https://doi.org/10.1016/j.rse.2020.111662
33. Machine Learning of Key Variables Impacting Extreme Precipitation in Various Regions of the Contiguous United States X. Lin et al. https://doi.org/10.1029/2022MS003334
34. Postprocessing of GEFS Precipitation Ensemble Reforecasts over the U.S. Mid-Atlantic Region X. Yang et al. https://doi.org/10.1175/MWR-D-16-0251.1
35. Toward an object-based assessment of high-resolution forecasts of long-lived convective precipitation in the central U.S. J. Bytheway & C. Kummerow https://doi.org/10.1002/2015MS000497-T
36. Assessment and Implications of NCEP Stage IV Quantitative Precipitation Estimates for Product Intercomparisons B. Nelson et al. https://doi.org/10.1175/WAF-D-14-00112.1
37. Simulation of Hurricane Harvey flood event through coupled hydrologic‐hydraulic models: Challenges and next steps T. Dullo et al. https://doi.org/10.1111/jfr3.12716
38. Quantitative Precipitation Estimation of Extremes in CONUS With Radar Data E. Molter et al. https://doi.org/10.1029/2021GL094697
39. How do different sensors impact IMERG precipitation estimates during hurricane days? H. Ayat et al. https://doi.org/10.1016/j.rse.2021.112417
40. Can artificial intelligence and data-driven machine learning models match or even replace process-driven hydrologic models for streamflow simulation?: A case study of four watersheds with different hydro-climatic regions across the CONUS T. Kim et al. https://doi.org/10.1016/j.jhydrol.2021.126423
41. Toward merging MOPEX and CAMELS hydrometeorological datasets: compatibility and statistical comparison K. Sink & T. Brikowski https://doi.org/10.5194/hess-29-4015-2025
42. Hydrological Model Diversity Enhances Streamflow Forecast Skill at Short‐ to Medium‐Range Timescales S. Sharma et al. https://doi.org/10.1029/2018WR023197
43. Improving crop-specific groundwater use estimation in the Mississippi Alluvial Plain: Implications for integrated remote sensing and machine learning approaches in data-scarce regions S. Majumdar et al. https://doi.org/10.1016/j.ejrh.2024.101674
44. Evaluation of six indices for monitoring agricultural drought in the south-central United States L. Tian et al. https://doi.org/10.1016/j.agrformet.2017.11.024
45. Evaluation of Radar-Rainfall Products over Coastal Louisiana R. Sharif et al. https://doi.org/10.3390/rs12091477
46. Comparison of Global Precipitation Estimates across a Range of Temporal and Spatial Scales M. Gehne et al. https://doi.org/10.1175/JCLI-D-15-0618.1
47. Impacts of Global Warming of 1.5, 2.0 and 3.0 °C on Hydrologic Regimes in the Northeastern U.S. R. Siddique et al. https://doi.org/10.3390/cli9010009
48. Evaluation of GPM IMERG and its constellations in extreme events over the conterminous united states Z. Li et al. https://doi.org/10.1016/j.jhydrol.2021.127357
49. A Features-Based Assessment of the Evolution of Warm Season Precipitation Forecasts from the HRRR Model over Three Years of Development J. Bytheway et al. https://doi.org/10.1175/WAF-D-17-0050.1
50. Evaluation of gridded precipitation data in water availability modeling in CONUS F. Wolkeba & M. Mekonnen https://doi.org/10.1016/j.jhydrol.2023.130575
51. Event‐Based Evaluation of the GPM Multisatellite Merged Precipitation Product From 2014 to 2018 Over China: Methods and Results R. Li et al. https://doi.org/10.1029/2020JD033692
52. Risk and Impact Assessment of Dams in the Contiguous United States Using the 2018 National Inventory of Dams Database J. Song et al. https://doi.org/10.3390/w13081066
53. Uncertainty and outliers in high‐resolution gridded precipitation products over eastern North America T. Picart et al. https://doi.org/10.1002/joc.8369
54. Implications of model selection: a comparison of publicly available, conterminous US-extent hydrologic component estimates S. Saxe et al. https://doi.org/10.5194/hess-25-1529-2021
55. Hurricane Harvey Highlights: Need to Assess the Adequacy of Probable Maximum Precipitation Estimation Methods S. Kao et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001768
56. Estimation of Precipitation over the OLYMPEX Domain during Winter 2015/16 Q. Cao et al. https://doi.org/10.1175/JHM-D-17-0076.1
57. Relative crash risk and road safety during rainfall in Texas from 2006 to 2021 S. Tafazzol et al. https://doi.org/10.1038/s41598-025-20760-w
58. Spatial and Temporal Variability in Winter Precipitation across the Western United States during the Satellite Era D. Nash et al. https://doi.org/10.3390/rs9090928
59. Relative effects of statistical preprocessing and postprocessing on a regional hydrological ensemble prediction system S. Sharma et al. https://doi.org/10.5194/hess-22-1831-2018
60. Contribution of Tropical Cyclones to Rainfall at the Global Scale A. Khouakhi et al. https://doi.org/10.1175/JCLI-D-16-0298.1
61. Exploring rainfall impacts on the crash risk on Texas roadways: A crash-based matched-pairs analysis approach E. Omranian et al. https://doi.org/10.1016/j.aap.2018.03.030
62. Assessment of small-scale variability of rainfall and multi-satellite precipitation estimates using measurements from a dense rain gauge network in Southeast India K. Sunilkumar et al. https://doi.org/10.5194/hess-20-1719-2016
63. Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information M. Sadeghi et al. https://doi.org/10.1016/j.envsoft.2020.104856
64. A Quality Control System for Historical In Situ Precipitation Data V. Cheng et al. https://doi.org/10.1080/07055900.2024.2394836
65. Evaluation of a Distributed Streamflow Forecast Model at Multiple Watershed Scales T. Madsen et al. https://doi.org/10.3390/w12051279
66. Consistency of rain storm properties observed by TRMM and GPM for climatological trend analysis X. Fan et al. https://doi.org/10.1016/j.jhydrol.2026.135814
67. A dynamic information extraction method for areal mean rainfall error and its application in basins of different scales for flood forecasting W. Si et al. https://doi.org/10.1007/s00477-020-01957-z
68. The Dutch real-time gauge-adjusted radar precipitation product A. Overeem et al. https://doi.org/10.5194/essd-17-4715-2025
69. Contribution of environmental forcings to US runoff changes for the period 1950–2010 W. Forbes et al. https://doi.org/10.1088/1748-9326/aabb41
70. Merging radar and rain gauge data by using spatial–temporal local weighted linear regression kriging for quantitative precipitation estimation G. Zhang et al. https://doi.org/10.1016/j.jhydrol.2021.126612
71. A Water Balance–Based, Spatiotemporal Evaluation of Terrestrial Evapotranspiration Products across the Contiguous United States E. Carter et al. https://doi.org/10.1175/JHM-D-17-0186.1
72. Anatomy of a storm: A review of shape analysis research that fuses form and function in weather forecasting and analysis S. Zick https://doi.org/10.1177/03091333221133098
73. Eastern U.S. Verification of Ensemble Precipitation Forecasts S. Sharma et al. https://doi.org/10.1175/WAF-D-16-0094.1
74. Consistency Between Convection Allowing Model Output and Passive Microwave Satellite Observations J. Bytheway & C. Kummerow https://doi.org/10.1002/2017JD027527
75. Assessment of the standard precipitation frequency estimates in the United States J. Kim et al. https://doi.org/10.1016/j.ejrh.2022.101276
76. Toward an object‐based assessment of high‐resolution forecasts of long‐lived convective precipitation in the central U.S. J. Bytheway & C. Kummerow https://doi.org/10.1002/2015MS000497
77. Remote sensing-based characterization of rainfall during atmospheric rivers over the central United States M. Nayak & G. Villarini https://doi.org/10.1016/j.jhydrol.2016.09.039