53 citations as recorded by crossref.

1. Small-Scale Rainfall Variability Impacts Analyzed by Fully-Distributed Model Using C-Band and X-Band Radar Data I. Paz et al. https://doi.org/10.3390/w11061273
2. Multivariate return periods in hydrology: a critical and practical review focusing on synthetic design hydrograph estimation B. Gräler et al. https://doi.org/10.5194/hess-17-1281-2013
3. Rainfall Generation Revisited: Introducing CoSMoS‐2s and Advancing Copula‐Based Intermittent Time Series Modeling S. Papalexiou https://doi.org/10.1029/2021WR031641
4. A theoretically consistent stochastic cascade for temporal disaggregation of intermittent rainfall F. Lombardo et al. https://doi.org/10.1002/2017WR020529
5. On temporal stochastic modeling of precipitation, nesting models across scales A. Paschalis et al. https://doi.org/10.1016/j.advwatres.2013.11.006
6. The global space–time cascade structure of precipitation: Satellites, gridded gauges and reanalyses S. Lovejoy et al. https://doi.org/10.1016/j.advwatres.2012.03.024
7. Flood mapping in ungauged basins using fully continuous hydrologic–hydraulic modeling S. Grimaldi et al. https://doi.org/10.1016/j.jhydrol.2013.02.023
8. Imperfect scaling in distributions of radar-derived rainfall fields M. van den Berg et al. https://doi.org/10.5194/hess-18-5331-2014
9. Modelling the IDF curves using the temporal stochastic disaggregation BLRP model for precipitation data in Najaf City A. Hayder & M. Al-Mukhtar https://doi.org/10.1007/s12517-021-08314-6
10. A review on the scaling properties in maximum rainfall marginal distributions: theoretical background, probabilistic modeling, and recent developments A. Barbosa & V. Costa https://doi.org/10.1007/s00477-023-02546-6
11. Multifractal analyses of daily rainfall time series in Pearl River basin of China Z. Yu et al. https://doi.org/10.1016/j.physa.2014.02.047
12. Temporal asymmetry in precipitation time series and its influence on flow simulations in combined sewer systems T. Müller et al. https://doi.org/10.1016/j.advwatres.2017.06.010
13. Review article: Scaling, dynamical regimes, and stratification. How long does weather last? How big is a cloud? S. Lovejoy https://doi.org/10.5194/npg-30-311-2023
14. Rainfall downscaling in time: theoretical and empirical comparison between multifractal and Hurst-Kolmogorov discrete random cascades F. Lombardo et al. https://doi.org/10.1080/02626667.2012.695872
15. Spatiotemporal variability of multifractal properties of fineresolution daily gridded rainfall fields over India A. Sankaran et al. https://doi.org/10.1007/s11069-021-04523-0
16. Forecasting green roof detention performance by temporal downscaling of precipitation time-series projections V. Pons et al. https://doi.org/10.5194/hess-26-2855-2022
17. Regional variability in the projected changes in sub-daily precipitation IDF curves across the contiguous United States N. J S et al. https://doi.org/10.1088/1748-9326/adf07d
18. Underlying scaling relationships between solar activity and geomagnetic activity revealed by multifractal analyses Z. Yu et al. https://doi.org/10.1002/2014JA019893
19. Temporal rainfall disaggregation using a multiplicative cascade model for spatial application in urban hydrology H. Müller & U. Haberlandt https://doi.org/10.1016/j.jhydrol.2016.01.031
20. A regional similarity-based approach for sub-daily rainfall nonparametric generation M. Aguilar & V. Costa https://doi.org/10.1590/2318-0331.252020190054
21. Use of observed scaled daily storm profiles in a copula based rainfall disaggregation model Y. Gyasi-Agyei https://doi.org/10.1016/j.advwatres.2011.11.003
22. Just two moments! A cautionary note against use of high-order moments in multifractal models in hydrology F. Lombardo et al. https://doi.org/10.5194/hess-18-243-2014
23. Multifractal description of daily rainfall fields over India S. Adarsh et al. https://doi.org/10.1016/j.jhydrol.2020.124913
24. Multiplicative cascade models for fine spatial downscaling of rainfall: parameterization with rain gauge data D. Rupp et al. https://doi.org/10.5194/hess-16-671-2012
25. Multifractal Properties of Temporal Rainfall Series in Peninsular Malaysia S. Mariam Saad & N. Ismail https://doi.org/10.1088/1755-1315/616/1/012014
26. Simulation of yearly rainfall time series at microscale resolution with actual properties: Intermittency, scale invariance, and rainfall distribution N. Akrour et al. https://doi.org/10.1002/2014WR016357
27. The intrinsic dependence structure of peak, volume, duration, and average intensity of hyetographs and hydrographs F. Serinaldi & C. Kilsby https://doi.org/10.1002/wrcr.20221
28. Update of intensity-duration-frequency (IDF) curves under climate change: a review I. Kourtis & V. Tsihrintzis https://doi.org/10.2166/ws.2022.152
29. The identification of an appropriate Minimum Inter‐event Time (MIT) based on multifractal characterization of rainfall data series M. Medina‐Cobo et al. https://doi.org/10.1002/hyp.10875
30. Assessing intensity-duration-frequency equations and spatialization techniques across the Grande River Basin in the state of Bahia, Brazil A. Barbosa et al. https://doi.org/10.1590/2318-0331.272220220083
31. Exploiting the spatial pattern of daily precipitation in the analog method for regional temporal disaggregation J. Carreau et al. https://doi.org/10.1016/j.jhydrol.2018.11.023
32. Intermittency in fluid and magnetohydrodynamics (MHD) turbulence analyzed through the prism of moment scaling predictions of multifractal models A. Pouquet et al. https://doi.org/10.5194/npg-32-243-2025
33. A comparison of alternatives for daily to sub-daily rainfall disaggregation A. Pui et al. https://doi.org/10.1016/j.jhydrol.2012.08.041
34. Multifractal Applications in Hydro-Climatology: A Comprehensive Review of Modern Methods S. Vahab & A. Sankaran https://doi.org/10.3390/fractalfract9010027
35. Stochastic simulation of reference rainfall scenarios for hydrological applications using a universal multi-fractal approach A. Ramanathan et al. https://doi.org/10.5194/hess-26-6477-2022
36. Water level prediction using long short-term memory neural network model for a lowland river: a case study on the Tisza River, Central Europe Z. Vizi et al. https://doi.org/10.1186/s12302-023-00796-3
37. Bayesian hierarchical network model for forecasting daily river stage for rainfed river networks N. Rastogi et al. https://doi.org/10.1016/j.jhydrol.2025.132894
38. Temporal Rainfall Disaggregation with a Cascade Model: From Single-Station Disaggregation to Spatial Rainfall H. Müller & U. Haberlandt https://doi.org/10.1061/(ASCE)HE.1943-5584.0001195
39. Forecast of the development of an emergency at hydraulic structures of the Republic of Tatarstan A. Shakirova et al. https://doi.org/10.1088/1755-1315/937/3/032020
40. A simple scheme to adjust Poisson cluster rectangular pulse rainfall models for improved performance at sub-hourly timescales J. Park et al. https://doi.org/10.1016/j.jhydrol.2021.126296
41. Generalized binomial multiplicative cascade processes and asymmetrical multifractal distributions Q. Cheng https://doi.org/10.5194/npg-21-477-2014
42. All in order: Distribution of serially correlated order statistics with applications to hydrological extremes F. Serinaldi et al. https://doi.org/10.1016/j.advwatres.2020.103686
43. Does the complexity in temporal precipitation disaggregation matter for a lumped hydrological model? H. Müller-Thomy & A. Sikorska-Senoner https://doi.org/10.1080/02626667.2019.1638926
44. A modified Multifractal Detrended Fluctuation Analysis (MFDFA) approach for multifractal analysis of precipitation J. Morales Martínez et al. https://doi.org/10.1016/j.physa.2020.125611
45. Circulation pattern based parameterization of a multiplicative random cascade for disaggregation of observed and projected daily rainfall time series D. Lisniak et al. https://doi.org/10.5194/hess-17-2487-2013
46. Precise Temporal Disaggregation Preserving Marginals and Correlations (DiPMaC) for Stationary and Nonstationary Processes S. Papalexiou et al. https://doi.org/10.1029/2018WR022726
47. Rain gauge networks’ limitations and the implications to hydrological modelling highlighted with a X-band radar I. Paz et al. https://doi.org/10.1016/j.jhydrol.2020.124615
48. Case Study of Applying Multifractal Models for Rainfall IDF Analysis in China Q. Huang et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000781
49. Deriving intensity–duration–frequency (IDF) curves using downscaled in situ rainfall assimilated with remote sensing data Y. Sun et al. https://doi.org/10.1186/s40562-019-0147-x
50. Multifractal analysis of solar flare indices and their horizontal visibility graphs Z. Yu et al. https://doi.org/10.5194/npg-19-657-2012
51. Multifractal characterization of meteorological drought in India using detrended fluctuation analysis S. Adarsh et al. https://doi.org/10.1002/joc.6070
52. Temporal rainfall disaggregation using a micro-canonical cascade model: possibilities to improve the autocorrelation H. Müller-Thomy https://doi.org/10.5194/hess-24-169-2020
53. Importance of anthropogenic climate impact, sampling error and urban development in sewer system design C. Egger & M. Maurer https://doi.org/10.1016/j.watres.2014.12.050