93 citations as recorded by crossref.

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29. Stochastic temporal disaggregation of monthly precipitation for regional gridded data sets S. Thober et al. https://doi.org/10.1002/2014WR015930
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40. Intra‐event intermittency of rainfall: an analysis of the metrics of rain and no‐rain periods D. Dunkerley https://doi.org/10.1002/hyp.10454
41. Flood hazard mapping using FLO-2D and local management strategies of Dire Dawa city, Ethiopia S. Erena et al. https://doi.org/10.1016/j.ejrh.2018.09.005
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44. Sustainable Development of Storm-water Systems in African Cities Considering Climate Change F. De Paola et al. https://doi.org/10.1016/j.proeng.2015.08.970
45. Analysis and modelling of rainfall fields at different resolutions in southern Italy D. De Luca https://doi.org/10.1080/02626667.2014.926013
46. Improving the accuracy of tipping-bucket rain records using disaggregation techniques A. Molini et al. https://doi.org/10.1016/j.atmosres.2004.12.013
47. Efficacy of coupled stochastic disaggregation algorithms with Random Forests in simulating hourly rainfall across Indian cities D. Vinod & V. Jothiprakash https://doi.org/10.1016/j.uclim.2026.103106
48. Intensity-Duration-Frequency (IDF) rainfall curves, for data series and climate projection in African cities F. De Paola et al. https://doi.org/10.1186/2193-1801-3-133
49. An open-source MEteoroLOgical observation time series DISaggregation Tool (MELODIST v0.1.1) K. Förster et al. https://doi.org/10.5194/gmd-9-2315-2016
50. Precipitation variability within an urban monitoring network via microcanonical cascade generators P. Licznar et al. https://doi.org/10.5194/hess-19-485-2015
51. Spatial random downscaling of rainfall signals in Andean heterogeneous terrain A. Posadas et al. https://doi.org/10.5194/npg-22-383-2015
52. Incorporating parameter dependencies into temporal downscaling of extreme rainfall using a random cascade approach N. McIntyre et al. https://doi.org/10.1016/j.jhydrol.2016.09.057
53. Assessing the Effect of Bias Correction Methods on the Development of Intensity–Duration–Frequency Curves Based on Projections from the CORDEX Central America GCM-RCM Multimodel-Ensemble M. Mendez et al. https://doi.org/10.3390/w16233473
54. Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling J. Sheffield et al. https://doi.org/10.1175/JCLI3790.1
55. Time scale and intensity dependency in multiplicative cascades for temporal rainfall disaggregation D. Rupp et al. https://doi.org/10.1029/2008WR007321
56. Assessment of future changes in intensity-duration-frequency curves for Southern Ontario using North American (NA)-CORDEX models with nonstationary methods P. Ganguli & P. Coulibaly https://doi.org/10.1016/j.ejrh.2018.12.007
57. Diagnosis of the hydrology of a small Arctic basin at the tundra-taiga transition using a physically based hydrological model S. Krogh et al. https://doi.org/10.1016/j.jhydrol.2017.05.042
58. Temporal Disaggregation of Rainfall Based on Microcanonical Cascade Model (A Software Development and Case Study) M. Ghorbani et al. https://doi.org/10.29252/jwmr.9.17.96
59. Interactions between soil structure dynamics, hydrological processes, and organic matter cycling: A new soil‐crop model N. Jarvis et al. https://doi.org/10.1111/ejss.13455
60. A stochastic model for daily rainfall disaggregation into fine time scale for a large region Y. Gyasi-Agyei & S. Mahbub https://doi.org/10.1016/j.jhydrol.2007.09.047
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65. Generating hourly mean areal precipitation times series with an at-site weather generator in Switzerland K. Maloku et al. https://doi.org/10.1007/s00477-024-02757-5
66. A Multi criteria Decision Making based nonparametric method of fragments to disaggregate daily precipitation V. Manikanta et al. https://doi.org/10.1016/j.jhydrol.2022.128994
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70. Applicability of statistical and deep-learning models for rainfall disaggregation at metropolitan stations in India D. Bhattacharyya et al. https://doi.org/10.1016/j.ejrh.2023.101616
71. Temporal downscaling rainfall and streamflow records through a deterministic fractal geometric approach M. Maskey et al. https://doi.org/10.1016/j.jhydrol.2018.09.014
72. Coupling Poisson rectangular pulse and multiplicative microcanonical random cascade models to generate sub-daily precipitation timeseries I. Pohle et al. https://doi.org/10.1016/j.jhydrol.2018.04.063
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74. Long‐Term Effects of No‐Till Systems on Soil Structure and Function Under Climate Change: An Exploratory Modelling Study M. Feifel et al. https://doi.org/10.1111/ejss.70259
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82. Introduction of k-means clustering into random cascade model for disaggregation of rainfall from daily to 1-hour resolution with improved preservation of extreme rainfall P. Deka & U. Saha https://doi.org/10.1016/j.jhydrol.2023.129478
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