111 citations as recorded by crossref.

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4. Implications of Ensemble Quantitative Precipitation Forecast Errors on Distributed Streamflow Forecasting G. Mascaro et al. https://doi.org/10.1175/2009JHM1144.1
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13. Effect of spatial distribution of daily rainfall on interior catchment response of a distributed hydrological model J. Schuurmans & M. Bierkens https://doi.org/10.5194/hess-11-677-2007
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15. A study on WRF radar data assimilation for hydrological rainfall prediction J. Liu et al. https://doi.org/10.5194/hess-17-3095-2013
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25. Assessment of rainfall spatial variability and its influence on runoff modelling: A case study in the Brue catchment, UK J. Zhang & D. Han https://doi.org/10.1002/hyp.11250
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28. Accounting for Uncertainties of the TRMM Satellite Estimates A. AghaKouchak et al. https://doi.org/10.3390/rs1030606
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31. Impact of Precipitation Pre-Processing Methods on Hydrological Model Performance using High-Resolution Gridded Dataset S. Abbas & Y. Xuan https://doi.org/10.3390/w12030840
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37. Modeling Spatiotemporal Precipitation: Effects of Density, Interpolation, and Land Use Distribution C. Shope & G. Maharjan https://doi.org/10.1155/2015/174196
38. Impact of precipitation on parameter sensitivity and identifiability in the variable infiltration capacity (VIC) model M. Noorbeh et al. https://doi.org/10.1080/02626667.2025.2569674
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42. Effect of radar rainfall time resolution on the predictive capability of a distributed hydrologic model A. Atencia et al. https://doi.org/10.5194/hess-15-3809-2011
43. Signal to noise ratio in water balance maps with different resolution Z. Yan et al. https://doi.org/10.1016/j.jhydrol.2016.09.065
44. What Really Happens at the End of the Rainbow? – Paying the Price for Reducing Uncertainty (Using Reverse Hydrology Models) A. Kretzschmar et al. https://doi.org/10.1016/j.proeng.2016.07.485
45. An Operational Weather Radar–Based Quantitative Precipitation Estimation and its Application in Catchment Water Resources Modeling X. He et al. https://doi.org/10.2136/vzj2010.0034
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47. Benefits from high-density rain gauge observations for hydrological response analysis in a small alpine catchment A. Michelon et al. https://doi.org/10.5194/hess-25-2301-2021
48. A daily spatially explicit stochastic rainfall generator for a semi-arid climate Y. Zhao et al. https://doi.org/10.1016/j.jhydrol.2019.04.006
49. The significance of spatial variability of rainfall on simulated runoff: an evaluation based on the Upper Lee catchment, UK I. Pechlivanidis et al. https://doi.org/10.2166/nh.2016.038
50. Impact of Spatial Rainfall Scenarios on River Basin Runoff Simulation a Nan River Basin Study Using the Rainfall-Runoff-Inundation Model K. Pakoksung https://doi.org/10.3390/eng5010004
51. Detecting the effects of spatial variability of rainfall on hydrological modelling within an uncertainty analysis framework P. Younger et al. https://doi.org/10.1002/hyp.7341
52. Exploration of warm-up period in conceptual hydrological modelling K. Kim et al. https://doi.org/10.1016/j.jhydrol.2017.11.015
53. Spatial resolutions in areal rainfall estimation and their impact on hydrological simulations of a lowland catchment W. Terink et al. https://doi.org/10.1016/j.jhydrol.2018.05.045
54. The potential of urban rainfall monitoring with crowdsourced automatic weather stations in Amsterdam L. de Vos et al. https://doi.org/10.5194/hess-21-765-2017
55. Spatial-Scale Characteristics of Precipitation Simulated by Regional Climate Models and the Implications for Hydrological Modeling S. Rasmussen et al. https://doi.org/10.1175/JHM-D-12-07.1
56. Spatial and temporal variability of daily monsoon rainfall in Tunga and Bhadra River basins, Karnataka V. Nischitha et al. https://doi.org/10.1080/19475683.2013.843588
57. Grid-size effects on estimation of evapotranspiration and gross primary production over a large Loess Plateau basin, China X. MO et al. https://doi.org/10.1623/hysj.54.1.160
58. Uncertainty in a Lumped and a Semi-Distributed Model for Discharge Prediction in Ghatshila Catchment A. Yaduvanshi et al. https://doi.org/10.3390/w10040381
59. Influence of alternative representations of land use and geology on distributed hydrological modelling results: Eddleston, Scotland S. Ruman et al. https://doi.org/10.1080/02626667.2020.1862851
60. A multi-scale nested experiment for understanding flood wave generation across four orders of magnitude of catchment area M. Wilkinson & J. Bathurst https://doi.org/10.2166/nh.2017.070
61. Effect of satellite based rainfall products on river basin responses of runoff simulation on flood event K. Pakoksung & M. Takagi https://doi.org/10.1007/s40808-016-0200-0
62. Bias in dynamically downscaled rainfall characteristics for hydroclimatic projections N. Potter et al. https://doi.org/10.5194/hess-24-2963-2020
63. The sensitivity of ecosystem service models to choices of input data and spatial resolution K. Bagstad et al. https://doi.org/10.1016/j.apgeog.2018.02.005
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65. Integrated Hydrological Modeling to Analyze the Effects of Precipitation on Surface Water and Groundwater Hydrologic Processes in a Small Watershed S. Paudel & R. Benjankar https://doi.org/10.3390/hydrology9020037
66. Spatial moments of catchment rainfall: rainfall spatial organisation, basin morphology, and flood response D. Zoccatelli et al. https://doi.org/10.5194/hess-15-3767-2011
67. Product‐error‐driven generator of probable rainfall conditioned on WSR‐88D precipitation estimates G. Villarini et al. https://doi.org/10.1029/2008WR006946
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69. Climatology of daily rainfall semi-variance in The Netherlands C. van de Beek et al. https://doi.org/10.5194/hess-15-171-2011
70. Impact of the Grid Resolution and Deterministic Interpolation of Precipitation on Rainfall-Runoff Modeling in a Sparsely Gauged Mountainous Catchment P. Gilewski https://doi.org/10.3390/w13020230
71. A mathematical spatial interpolation method for the estimation of convective rainfall distribution over small watersheds S. Zhang et al. https://doi.org/10.4491/eer.2015.149
72. Influence of Rainfall Patterns on Rainfall–Runoff Processes: Indices for the Quantification of Temporal Distribution of Rainfall B. Oh et al. https://doi.org/10.3390/w16202904
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75. Spatial Rainfall Variability in Urban Environments—High-Density Precipitation Measurements on a City-Scale R. Maier et al. https://doi.org/10.3390/w12041157
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77. Unveiling how rainfall spatial structure and displacement drive peak flow magnitude and onset in small mountainous watersheds Y. Huang & Y. Tsang https://doi.org/10.1016/j.jhydrol.2025.134069
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