Articles | Volume 6, issue 4
https://doi.org/10.5194/hess-6-695-2002
© Author(s) 2002. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/hess-6-695-2002
© Author(s) 2002. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Multifractal modelling and simulation of rain fields exhibiting spatial heterogeneity
A. Pathirana
Faculty of Science and Engineering, Chuo University, Kasuga, Bunkyo-ku, Tokyo, Japan
Email for corresponding author: asselapathirana@ybb.ne.jp
Email for corresponding author: asselapathirana@ybb.ne.jp
S. Herath
Institute of Industrial Science, University of Tokyo, Komaba, Meguro, Tokyo, Japan
Email for corresponding author: asselapathirana@ybb.ne.jp
Viewed
Total article views: 2,238 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
836 | 1,299 | 103 | 2,238 | 119 | 93 |
- HTML: 836
- PDF: 1,299
- XML: 103
- Total: 2,238
- BibTeX: 119
- EndNote: 93
Cited
37 citations as recorded by crossref.
- Multifractal Comparison of Reflectivity and Polarimetric Rainfall Data from C- and X-Band Radars and Respective Hydrological Responses of a Complex Catchment Model I. Paz et al. 10.3390/w10030269
- Spatial random downscaling of rainfall signals in Andean heterogeneous terrain A. Posadas et al. 10.5194/npg-22-383-2015
- Limit theorems for multifractal products of random fields I. Donhauzer & A. Olenko 10.1016/j.jmaa.2023.127888
- Two-dimensional Hurst–Kolmogorov process and its application to rainfall fields D. Koutsoyiannis et al. 10.1016/j.jhydrol.2010.12.012
- Assessing hydrological impacts of climate change using bias‐corrected downscaled precipitation in Mae Klong basin of Thailand D. Sharma & M. Babel 10.1002/met.1706
- Impact of urban growth-driven landuse change on microclimate and extreme precipitation — A sensitivity study A. Pathirana et al. 10.1016/j.atmosres.2013.10.005
- Impact of horizontal spatial clustering in two-dimensional fracture networks on solute transport M. Akara et al. 10.1016/j.jhydrol.2021.127055
- Spatial Disaggregation of Mean Areal Rainfall Using Gibbs Sampling P. Gagnon et al. 10.1175/JHM-D-11-034.1
- Spatial disaggregation of bias-corrected GCM precipitation for improved hydrologic simulation: Ping River Basin, Thailand D. Sharma et al. 10.5194/hess-11-1373-2007
- A stochastic model for high-resolution space-time precipitation simulation A. Paschalis et al. 10.1002/2013WR014437
- Theoretical framework to estimate spatial rainfall averages conditional on river discharges and point rainfall measurements from a single location: an application to western Greece A. Langousis & V. Kaleris 10.5194/hess-17-1241-2013
- A Gibbs sampling disaggregation model for orographic precipitation P. Gagnon et al. 10.1016/j.jag.2011.11.002
- Temporal properties of spatially aggregated meteorological time series H. Hoffmann et al. 10.1016/j.agrformet.2016.12.012
- Stochastic downscaling of precipitation in complex orography: a simple method to reproduce a realistic fine-scale climatology S. Terzago et al. 10.5194/nhess-18-2825-2018
- Revisiting the Statistical Scaling of Annual Discharge Maxima at Daily Resolution with Respect to the Basin Size in the Light of Rainfall Climatology A. Perdios & A. Langousis 10.3390/w12020610
- Spatial Downscaling Model Combined with the Geographically Weighted Regression and Multifractal Models for Monthly GPM/IMERG Precipitation in Hubei Province, China X. Sun et al. 10.3390/atmos13030476
- A stochastic framework for downscaling processes of spatial averages based on the property of spectral multiscaling and its statistical diagnosis on spatio-temporal rainfall fields H. Pavlopoulos 10.1016/j.advwatres.2011.05.006
- Approximated maximum likelihood estimation in multifractal random walks O. Løvsletten & M. Rypdal 10.1103/PhysRevE.85.046705
- Multiplicative cascade models for fine spatial downscaling of rainfall: parameterization with rain gauge data D. Rupp et al. 10.5194/hess-16-671-2012
- Random cascade driven rainfall disaggregation for urban hydrology: An evaluation of six models and a new generator P. Licznar et al. 10.1016/j.atmosres.2010.12.014
- Linkages between Orographic Forcing and the Scaling Properties of Convective Rainfall in Mountainous Regions D. Nykanen 10.1175/2007JHM839.1
- Spatial Modeling of Rainfall Patterns over the Ebro River Basin Using Multifractality and Non-Parametric Statistical Techniques J. Valencia et al. 10.3390/w7116204
- The global space–time cascade structure of precipitation: Satellites, gridded gauges and reanalyses S. Lovejoy et al. 10.1016/j.advwatres.2012.03.024
- Precipitation Intensity Trend Detection using Hourly and Daily Observations in Portland, Oregon A. Cooley & H. Chang 10.3390/cli5010010
- Evaluation of ensemble‐based distributed hydrologic model response with disaggregated precipitation products B. Forman et al. 10.1029/2008WR006827
- On temporal stochastic modeling of precipitation, nesting models across scales A. Paschalis et al. 10.1016/j.advwatres.2013.11.006
- Multiplicative random cascade models of multifractal urban structures M. Saeedimoghaddam & T. Stepinski 10.1016/j.physa.2021.125767
- Spatial Downscaling of TRMM Precipitation Product Using a Combined Multifractal and Regression Approach: Demonstration for South China G. Xu et al. 10.3390/w7063083
- A non-stationary stochastic ensemble generator for radar rainfall fields based on the short-space Fourier transform D. Nerini et al. 10.5194/hess-21-2777-2017
- Space–time multifractality of remotely sensed rainfall fields R. Deidda et al. 10.1016/j.jhydrol.2005.02.036
- Current awareness 10.1002/hyp.5126
- Reconstructing the ca. 100-year flood in Northern Thailand R. Kidson et al. 10.1016/j.geomorph.2005.02.009
- Stochastic simulation of reference rainfall scenarios for hydrological applications using a universal multi-fractal approach A. Ramanathan et al. 10.5194/hess-26-6477-2022
- The effect of flow and orography on the spatial distribution of the very short-term predictability of rainfall from composite radar images L. Foresti & A. Seed 10.5194/hess-18-4671-2014
- Study of the improvement of the multifractal spatial downscaling by the random forest regression model considering spatial heterogeneity W. Zhang et al. 10.1117/1.JRS.17.034510
- Current awareness 10.1002/hyp.5099
- Disaggregating radar-derived rainfall measurements in East Azarbaijan, Iran, using a spatial random-cascade model H. Fouladi Osgouei et al. 10.1007/s00704-016-1784-z
Latest update: 26 Dec 2024