111 citations as recorded by crossref.

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15. The effect of spatial rainfall variability on water balance modelling for south-eastern Australian catchments F. Zhao et al. https://doi.org/10.1016/j.jhydrol.2013.04.028
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36. Modeling Spatiotemporal Precipitation: Effects of Density, Interpolation, and Land Use Distribution C. Shope & G. Maharjan https://doi.org/10.1155/2015/174196
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42. 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
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46. 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
47. 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
48. 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
49. 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
50. 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
51. Exploration of warm-up period in conceptual hydrological modelling K. Kim et al. https://doi.org/10.1016/j.jhydrol.2017.11.015
52. 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
53. 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
54. 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
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56. 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
57. 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
58. 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
59. 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
60. 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
61. Bias in dynamically downscaled rainfall characteristics for hydroclimatic projections N. Potter et al. https://doi.org/10.5194/hess-24-2963-2020
62. 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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69. 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
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71. 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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74. 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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