83 citations as recorded by crossref.

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28. Impact of deep learning-driven precipitation corrected data using near real-time satellite-based observations and model forecast in an integrated hydrological model K. Patakchi Yousefi et al. 10.3389/frwa.2024.1439906
29. Performance of Frequency-Corrected Precipitation in Ungauged High Mountain Hydrological Simulation H. Li et al. 10.3390/w15081461
30. How reliable are TIGGE daily deterministic precipitation forecasts over different climate and topographic conditions of Iran? S. Amini et al. 10.1002/met.2013
31. Studies on changes in extreme flood peaks resulting from land-use changes need to consider roughness variations W. Qi & J. Liu 10.1080/02626667.2019.1669039
32. How Will Air Quality Change in South Asia by 2050? R. Kumar et al. 10.1002/2017JD027357
33. Performance Evaluation of Three Satellites-Based Precipitation Data Sets Over Iran M. Miri et al. 10.1007/s12524-019-01053-y
34. The Assessment and Comparison of TMPA and IMERG Products Over the Major Basins of Mainland China J. Su et al. 10.1029/2019EA000977
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37. Which rainfall score is more informative about the performance in river discharge simulation? A comprehensive assessment on 1318 basins over Europe S. Camici et al. 10.5194/hess-24-4869-2020
38. Assessments and Corrections of GLDAS2.0 Forcing Data in Four Large Transboundary Rivers in the Tibetan Plateau and Northeast China W. Qi et al. 10.1029/2020EA001576
39. Hydrologic Assessment of TRMM and GPM-Based Precipitation Products in Transboundary River Catchment (Chenab River, Pakistan) E. Ahmed et al. 10.3390/w12071902
40. Large Uncertainties in Runoff Estimations of GLDAS Versions 2.0 and 2.1 in China W. Qi et al. 10.1029/2019EA000829
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43. Comprehensive evaluation of IMERG, ERA5-Land and their fusion products in the hydrological simulation of three karst catchments in Southwest China Y. Chang et al. 10.1016/j.ejrh.2024.101671
44. Evaluations and Improvements of GLDAS2.0 and GLDAS2.1 Forcing Data's Applicability for Basin Scale Hydrological Simulations in the Tibetan Plateau W. Qi et al. 10.1029/2018JD029116
45. Risks of precipitation extremes over Southeast Asia: does 1.5 °C or 2 °C global warming make a difference? F. Ge et al. 10.1088/1748-9326/aaff7e
46. How reliable are the satellite-based precipitation estimations in guiding hydrological modelling in South China? J. Su et al. 10.1016/j.jhydrol.2021.126705
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48. Which Precipitation Product Works Best in the Qinghai-Tibet Plateau, Multi-Source Blended Data, Global/Regional Reanalysis Data, or Satellite Retrieved Precipitation Data? L. Bai et al. 10.3390/rs12040683
49. Assessment of Suitable Gridded Climate Datasets for Large-Scale Hydrological Modelling over South Korea D. Lee & K. Ahn 10.3390/rs14153535
50. An unsupervised adaptive fusion framework for satellite-based precipitation estimation without gauge observations Y. Liu et al. 10.1016/j.jhydrol.2024.132341
51. Robust Subsampling ANOVA Methods for Sensitivity Analysis of Water Resource and Environmental Models F. Wang et al. 10.1007/s11269-020-02608-2
52. An integration of gauge, satellite, and reanalysis precipitation datasets for the largest river basin of the Tibetan Plateau Y. Wang et al. 10.5194/essd-12-1789-2020
53. Hydrological modelling of Bhagirathi River basin using HEC-HMS T. Dimri et al. 10.1080/23249676.2022.2099471
54. Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. 10.5194/hess-24-5379-2020
55. Water quality monitoring in smart city: A pilot project Y. Chen & D. Han 10.1016/j.autcon.2018.02.008
56. Daily time series of river water levels derived from a seasonal linear model using multisource satellite products under uncertainty H. Pham et al. 10.1016/j.jhydrol.2021.126783
57. Systematical Evaluation of Satellite Precipitation Estimates Over Central Asia Using an Improved Error‐Component Procedure H. Guo et al. 10.1002/2017JD026877
58. Spring and summer potential flood risk in Northeast China W. Qi et al. 10.1016/j.ejrh.2021.100951
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60. Quantifying and reducing the uncertainty in multi-source precipitation products using Bayesian total error analysis: A case study in the Danjiangkou Reservoir region in China S. Liu et al. 10.1016/j.jhydrol.2022.128557
61. Efficiency of global precipitation datasets in tropical and subtropical catchments revealed by large sampling hydrological modelling J. Andrade et al. 10.1016/j.jhydrol.2024.131016
62. Error Analysis and Evaluation of the Latest GSMap and IMERG Precipitation Products over Eastern China S. Ning et al. 10.1155/2017/1803492
63. Satellite-based precipitation error propagation in the hydrological modeling chain across China J. Gou et al. 10.1016/j.jhydrol.2024.130906
64. Impact of robustness of hydrological model parameters on flood prediction uncertainty W. Qi et al. 10.1111/jfr3.12488
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67. Evaluation of Satellite Precipitation Products and Their Potential Influence on Hydrological Modeling over the Ganzi River Basin of the Tibetan Plateau A. Alazzy et al. 10.1155/2017/3695285
68. How do GPM IMERG precipitation estimates perform as hydrological model forcing? Evaluation for 300 catchments across Mainland China L. Jiang & P. Bauer-Gottwein 10.1016/j.jhydrol.2019.03.042
69. Impacts of rainfall spatial and temporal variabilities on runoff quality and quantity at the watershed scale W. Zhou et al. 10.1016/j.jhydrol.2021.127057
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71. A streamflow-oriented ranking-based methodological framework to combine multiple precipitation datasets across large river basins J. Wong et al. 10.1016/j.jhydrol.2021.127174
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76. Inter-Comparison of Gauge-Corrected Global Satellite Rainfall Estimates and Their Applicability for Effective Water Resource Management in a Transboundary River Basin: The Case of the Meghna River Basin I. Khairul et al. 10.3390/rs10060828
77. Hybrid artificial neural network and cooperation search algorithm for nonlinear river flow time series forecasting in humid and semi-humid regions Z. Feng & W. Niu 10.1016/j.knosys.2020.106580
78. Snow as an Important Natural Reservoir for Runoff and Soil Moisture in Northeast China W. Qi et al. 10.1029/2020JD033086
79. New Insights Into Error Decomposition for Precipitation Products Y. Zhang et al. 10.1029/2021GL094092
80. Evaluation of Eight Global Precipitation Datasets in Hydrological Modeling Y. Xiang et al. 10.3390/rs13142831
81. Evaluation of Various Precipitation Products Using Ground-Based Discharge Observation at the Nujiang River Basin, China R. Mao et al. 10.3390/w11112308
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