Articles | Volume 2, issue 1
https://doi.org/10.5194/hess-2-19-1998
© Author(s) 1998. 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-2-19-1998
© Author(s) 1998. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Evaluation of a scaling cascade model for temporal rain- fall disaggregation
J. Olsson
Department of Water Resources Engineering, Lund University, Box 118, SE–22100 Lund, Sweden.
Currently at: Department of Civil Engineering, Kyushu University, 6–10–1 Hakozaki, Higashi-ku, Fukuoka 812-8581, Japan.
Department of Water Resources Engineering, Lund University, Box 118, SE–22100 Lund, Sweden.
Currently at: Department of Civil Engineering, Kyushu University, 6–10–1 Hakozaki, Higashi-ku, Fukuoka 812-8581, Japan.
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- Identification of chaos in rainfall temporal disaggregation: Application of the correlation dimension method to 5-minute point rainfall series measured with a tipping bucket and an optical raingage E. Gaume et al. 10.1016/j.jhydrol.2005.11.034
- Blunt extension of discrete universal multifractal cascades: development and application to downscaling A. Gires et al. 10.1080/02626667.2020.1736297
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- Does nonstationarity in rainfall require nonstationary intensity–duration–frequency curves? P. Ganguli & P. Coulibaly 10.5194/hess-21-6461-2017
- Multivariate non-parametric Euclidean distance model for hourly disaggregation of daily climate data C. Görner et al. 10.1007/s00704-020-03426-7
- Flood risk assessment for informal settlements R. De Risi et al. 10.1007/s11069-013-0749-0
- Space‐time conditional disaggregation of precipitation at high resolution via simulation A. Bárdossy & G. Pegram 10.1002/2015WR018037
- 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
- Improvement of water balance in land surface schemes by random cascade disaggregation of rainfall B. Lammering & I. Dwyer 10.1002/(SICI)1097-0088(200005)20:6<681::AID-JOC492>3.0.CO;2-P
- Hourly Disaggregation of Daily Rainfall in Texas Using Measured Hourly Precipitation at Other Locations J. Choi et al. 10.1061/(ASCE)1084-0699(2008)13:6(476)
- 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
- Temporal rainfall disaggregation using a micro-canonical cascade model: possibilities to improve the autocorrelation H. Müller-Thomy 10.5194/hess-24-169-2020
- Precise Temporal Disaggregation Preserving Marginals and Correlations (DiPMaC) for Stationary and Nonstationary Processes S. Papalexiou et al. 10.1029/2018WR022726
- Variability and distribution of spatial evapotranspiration in semi arid Inner Mongolian grasslands from 2002 to 2011 D. Schaffrath & C. Bernhofer 10.1186/2193-1801-2-547
- A new algorithm for the downscaling of cloud fields V. Venema et al. 10.1002/qj.535
- Space‐time variability of the rainfall over the western Mediterranean region: A statistical analysis J. Rysman et al. 10.1002/jgrd.50656
- Statistical framework to simulate daily rainfall series conditional on upper-air predictor variables A. Langousis & V. Kaleris 10.1002/2013WR014936
- Generating a missing half of multifractal fields with a blunt extension of discrete cascades A. Gires et al. 10.1080/02626667.2022.2154160
- A space-time hybrid hourly rainfall model for derived flood frequency analysis U. Haberlandt et al. 10.5194/hess-12-1353-2008
- Controls on atrazine leaching through a soil-unsaturated fractured limestone sequence at Brévilles, France S. Roulier et al. 10.1016/j.jconhyd.2005.12.004
- Rainfall disaggregation for hydrological modeling: is there a need for spatial consistence? H. Müller-Thomy et al. 10.5194/hess-22-5259-2018
- An indicator of pesticide leaching risk to groundwater A. Lindahl & C. Bockstaller 10.1016/j.ecolind.2012.03.014
- Influence of the highest values on the choice of log-poisson random cascade model parameters N. Mouhous et al. 10.1016/S1464-1909(01)00072-7
- A simple approximation to multifractal rainfall maxima using a generalized extreme value distribution model A. Langousis et al. 10.1007/s00477-013-0687-0
- 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
- Evaluation of the climate change impact on the extreme rainfall amounts using modified method of fragments for sub‐daily rainfall disaggregation A. Rafatnejad et al. 10.1002/joc.7280
- A probabilistic-deterministic approach for assessing climate change effects on infection risks downstream of sewage emissions from CSOs J. Derx et al. 10.1016/j.watres.2023.120746
- Scaling and intermittency in time of urban precipitation in Warsaw, Poland D. Dżugaj et al. 10.1016/j.ejrh.2023.101440
- Distributions of microcanonical cascade weights of rainfall at small timescales P. Licznar et al. 10.2478/s11600-011-0014-4
- Quantitative assessment of annual maxima, peaks-over-threshold and multifractal parametric approaches in estimating intensity-duration-frequency curves from short rainfall records S. Emmanouil et al. 10.1016/j.jhydrol.2020.125151
- Coupling Poisson rectangular pulse and multiplicative microcanonical random cascade models to generate sub-daily precipitation timeseries I. Pohle et al. 10.1016/j.jhydrol.2018.04.063
- Temporal rainfall disaggregation using a multiplicative cascade model for spatial application in urban hydrology H. Müller & U. Haberlandt 10.1016/j.jhydrol.2016.01.031
- Building a puzzle to solve a riddle: A multi-scale disaggregation approach for multivariate stochastic processes with any marginal distribution and correlation structure I. Tsoukalas et al. 10.1016/j.jhydrol.2019.05.017
- A chaotic approach to rainfall disaggregation B. Sivakumar et al. 10.1029/2000WR900196
- New asymptotic and preasymptotic results on rainfall maxima from multifractal theory D. Veneziano et al. 10.1029/2009WR008257
- Stochastic temporal disaggregation of monthly precipitation for regional gridded data sets S. Thober et al. 10.1002/2014WR015930
- Case Study of Applying Multifractal Models for Rainfall IDF Analysis in China Q. Huang et al. 10.1061/(ASCE)HE.1943-5584.0000781
- Temperature-Driven Rise in Extreme Sub-Hourly Rainfall G. Bürger et al. 10.1175/JCLI-D-19-0136.1
- Modelling the leaching of imazapyr in a railway embankment N. Jarvis et al. 10.1002/ps.1261
- Stochastic Space‐Time Downscaling of Rainfall Using Event‐Based Multiplicative Cascade Simulations B. Raut et al. 10.1029/2018JD029343
- Temporal Rainfall Disaggregation with a Cascade Model: From Single-Station Disaggregation to Spatial Rainfall H. Müller & U. Haberlandt 10.1061/(ASCE)HE.1943-5584.0001195
- Reproduction of temporal scaling by a rectangular pulses rainfall model J. Olsson & P. Burlando 10.1002/hyp.307
- The impact of tipping‐bucket raingauge measurement errors on design rainfall for urban‐scale applications A. Molini et al. 10.1002/hyp.5646
- Assessment of rainfall aggregation and disaggregation using data-driven models and wavelet decomposition S. Kim et al. 10.2166/nh.2016.314
- Circulation pattern based parameterization of a multiplicative random cascade for disaggregation of observed and projected daily rainfall time series D. Lisniak et al. 10.5194/hess-17-2487-2013
- Assessing the Impact of Urban Development and On-Site Stormwater Detention on Regional Hydrology Using Monte Carlo Simulated Rainfall R. Ronalds & H. Zhang 10.1007/s11269-019-02275-y
- Spatial precipitation and evapotranspiration in the typical steppe of Inner Mongolia, China – A model based approach using MODIS data D. Schaffrath et al. 10.1016/j.jaridenv.2012.07.021
- Application of a Random Cascade Model to Estimation of Design Flood from Rainfall Data M. Lu & T. Yamamoto 10.1061/(ASCE)1084-0699(2008)13:5(385)
- Nonstationarity in Intermittent Rainfall: The “Dry Drift” M. Schleiss et al. 10.1175/JHM-D-13-095.1
- Estimation of instantaneous peak flows from maximum mean daily flows using the HBV hydrological model J. Ding et al. 10.1002/hyp.10725
- Rainfall Generation Revisited: Introducing CoSMoS‐2s and Advancing Copula‐Based Intermittent Time Series Modeling S. Papalexiou 10.1029/2021WR031641
- Storm Identification and Tracking Algorithm for Modeling of Rainfall Fields Using 1-h NEXRAD Rainfall Data in Texas J. Choi et al. 10.1061/(ASCE)1084-0699(2009)14:7(721)
- Evaluating changes and estimating seasonal precipitation for the Colorado River Basin using a stochastic nonparametric disaggregation technique A. Kalra & S. Ahmad 10.1029/2010WR009118
- Multiscaling pulse representation of temporal rainfall D. Veneziano & V. Iacobellis 10.1029/2001WR000522
- Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user D. Maraun et al. 10.1029/2009RG000314
- A Library to Generate Synthetic Precipitation Data L. Carlini et al. 10.2134/agronj2005.0210
- Use of Scale Recursive Estimation for assimilation of precipitation data from TRMM (PR and TMI) and NEXRAD D. Bocchiola 10.1016/j.advwatres.2007.05.012
- Estimation of intensity–duration–frequency curves using max-stable processes H. Tyralis & A. Langousis 10.1007/s00477-018-1577-2
- Assessing the performance of daily to subdaily temporal disaggregation methods for the IDF curve generation under climate change F. Alzahrani et al. 10.2166/wcc.2023.507
- The global space–time cascade structure of precipitation: Satellites, gridded gauges and reanalyses S. Lovejoy et al. 10.1016/j.advwatres.2012.03.024
- Flood hazard mapping using FLO-2D and local management strategies of Dire Dawa city, Ethiopia S. Erena et al. 10.1016/j.ejrh.2018.09.005
- Analysis and modelling of rainfall fields at different resolutions in southern Italy D. De Luca 10.1080/02626667.2014.926013
- Spatial random downscaling of rainfall signals in Andean heterogeneous terrain A. Posadas et al. 10.5194/npg-22-383-2015
- An open-source MEteoroLOgical observation time series DISaggregation Tool (MELODIST v0.1.1) K. Förster et al. 10.5194/gmd-9-2315-2016
- Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling J. Sheffield et al. 10.1175/JCLI3790.1
- Precipitation variability within an urban monitoring network via microcanonical cascade generators P. Licznar et al. 10.5194/hess-19-485-2015
- Time scale and intensity dependency in multiplicative cascades for temporal rainfall disaggregation D. Rupp et al. 10.1029/2008WR007321
- Preservation of rainfall properties in stochastic disaggregation by a simple random cascade model P. Molnar & P. Burlando 10.1016/j.atmosres.2004.10.024
- Incorporating parameter dependencies into temporal downscaling of extreme rainfall using a random cascade approach N. McIntyre et al. 10.1016/j.jhydrol.2016.09.057
- Uncertainty of Rainfall Products: Impact on Modelling Household Nutrition from Rain-Fed Agriculture in Southern Africa R. Luetkemeier et al. 10.3390/w10040499
- EMULATION OF URBAN RUNOFF MODEL BY DEEP LEARNING FOR BENCHMARK VIRTUAL HYETO AND HYDROGRAPH S. FUJIZUKA et al. 10.2208/jscejer.75.I_289
- Implications of precipitation patterns and antecedent soil water content for leaching of pesticides from arable land E. Lewan et al. 10.1016/j.agwat.2009.06.006
- Monitoring rainfall trends to predict adverse impacts—a case study from Sri Lanka (1964–1993) S. Herath & U. Ratnayake 10.1016/j.gloenvcha.2003.11.009
- Temporal Disaggregation of Rainfall Based on Microcanonical Cascade Model (A Software Development and Case Study) M. Ghorbani et al. 10.29252/jwmr.9.17.96
- Development and analysis of a simple model to represent the zero rainfall in a universal multifractal framework A. Gires et al. 10.5194/npg-20-343-2013
- Regionalisation of rainfall depth–duration–frequency curves with different data types in Germany B. Shehu et al. 10.5194/hess-27-1109-2023
- Meta-modeling of the pesticide fate model MACRO for groundwater exposure assessments using artificial neural networks F. Stenemo et al. 10.1016/j.jconhyd.2007.03.003
- Simulation of yearly rainfall time series at microscale resolution with actual properties: Intermittency, scale invariance, and rainfall distribution N. Akrour et al. 10.1002/2014WR016357
- Daily vs. hourly simulation for estimating future flood peaks in mesoscale catchments M. Beylich et al. 10.2166/nh.2021.152
- Event‐specific multiplicative cascade models and an application to rainfall 10.1029/1999JD900388
- Towards Subdaily Rainfall Disaggregation via Clausius–Clapeyron G. Bürger et al. 10.1175/JHM-D-13-0161.1
- A semi-parametric hourly space–time weather generator R. Pidoto & U. Haberlandt 10.5194/hess-27-3957-2023
- Nordic contributions to stochastic methods in hydrology D. Rosbjerg et al. 10.2166/nh.2022.137
- On temporal stochastic modeling of precipitation, nesting models across scales A. Paschalis et al. 10.1016/j.advwatres.2013.11.006
- A stochastic model for daily rainfall disaggregation into fine time scale for a large region Y. Gyasi-Agyei & S. Mahbub 10.1016/j.jhydrol.2007.09.047
- Interactions between soil structure dynamics, hydrological processes, and organic matter cycling: A new soil‐crop model N. Jarvis et al. 10.1111/ejss.13455
- Predicting pesticide leaching under climate change: Importance of model structure and parameter uncertainty K. Steffens et al. 10.1016/j.agee.2013.03.018
- Continuous multifractal models with zero values: a continuous $\beta $ -multifractal model F. Schmitt 10.1088/1742-5468/2014/02/P02008
- A continuous modelling approach for design flood estimation on sub-daily time scale B. Winter et al. 10.1080/02626667.2019.1593419
- Climate responsive design for road surface drainage systems: a case study for city of Bengaluru S. Kalore et al. 10.1080/1573062X.2023.2287049
- Imperfect scaling in distributions of radar-derived rainfall fields M. van den Berg et al. 10.5194/hess-18-5331-2014
- Soil erosion estimation based on rainfall disaggregation S. Jebari et al. 10.1016/j.jhydrol.2012.03.001
- A Multi criteria Decision Making based nonparametric method of fragments to disaggregate daily precipitation V. Manikanta et al. 10.1016/j.jhydrol.2022.128994
- Geographical Transferability of Pretrained K-Means Clustering–Artificial Neural Network Model for Disaggregation of Rainfall Data in an Indian Monsoon Climate D. Bhattacharyya & U. Saha 10.1061/JHYEFF.HEENG-6058
- Deep learning application for disaggregation of rainfall with emphasis on preservation of extreme rainfall characteristics for Indian monsoon conditions D. Bhattacharyya & U. Saha 10.1007/s00477-022-02331-x
- Temporal downscaling rainfall and streamflow records through a deterministic fractal geometric approach M. Maskey et al. 10.1016/j.jhydrol.2018.09.014
- Applicability of statistical and deep-learning models for rainfall disaggregation at metropolitan stations in India D. Bhattacharyya et al. 10.1016/j.ejrh.2023.101616
- Three resampling approaches based on method of fragments for daily‐to‐subdaily precipitation disaggregation X. Li et al. 10.1002/joc.5438
- SLICES OF MULTIFRACTAL MEASURES AND APPLICATIONS TO RAINFALL DISTRIBUTIONS B. LAMMERING 10.1142/S0218348X00000391
- Developing hourly intensity duration frequency curves for urban areas in India using multivariate empirical mode decomposition and scaling theory S. Adarsh & M. Janga Reddy 10.1007/s00477-018-1545-x
- A coupled stochastic space‐time intermittent random cascade model for rainfall downscaling B. Kang & J. Ramírez 10.1029/2008WR007692
- Complex networks for rainfall modeling: Spatial connections, temporal scale, and network size S. Jha & B. Sivakumar 10.1016/j.jhydrol.2017.09.030
- Stochastic disaggregation of daily rainfall into one-hour time scale Y. Gyasi-Agyei 10.1016/j.jhydrol.2004.11.018
- 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
- Incorporating daily rainfalls to derive rainfall DDF relationships at ungauged sites in Hong Kong and quantifying their uncertainty P. Jiang & Y. Tung 10.1007/s00477-014-0915-2
- Direct and indirect effects of climate change on herbicide leaching — A regional scale assessment in Sweden K. Steffens et al. 10.1016/j.scitotenv.2014.12.049
- Estimation of future rainfall extreme values by temperature-dependent disaggregation of climate model data N. Ebers et al. 10.5194/nhess-24-2025-2024
- Rainfall stochastic disaggregation models: Calibration and validation of a multiplicative cascade model E. Gaume et al. 10.1016/j.advwatres.2006.11.007
- Estimating annual precipitation for the Colorado River Basin using oceanic‐atmospheric oscillations A. Kalra & S. Ahmad 10.1029/2011WR010667
- Using Probable Maximum Precipitation to Bound the Disaggregation of Rainfall N. McIntyre & A. Bárdossy 10.3390/w9070496
- Future Projection of Extreme Rainfall for Flood Management due to Climate Change in an Urban Area S. Halder & U. Saha 10.1061/JSWBAY.0000954
- Accounting for uncertainty in pedotransfer functions in vulnerability assessments of pesticide leaching to groundwater F. Stenemo & N. Jarvis 10.1002/ps.1415
- Model and parameter uncertainty in IDF relationships under climate change R. Chandra et al. 10.1016/j.advwatres.2015.02.011
- Spatiotemporal assessment of the PERSIANN family of satellite precipitation data over Fars Province, Iran N. Salmani-Dehaghi & N. Samani 10.1007/s00704-019-02872-2
- Modelling pesticide leaching under climate change: parameter vs. climate input uncertainty K. Steffens et al. 10.5194/hess-18-479-2014
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- Local-scale regionalisation of climate change effects on rainfall pattern: application to Alicante City (Spain) L. Cutillas-Lozano et al. 10.1007/s00704-023-04565-3
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- A multisite daily rainfall generator driven by bivariate copula‐based mixed distributions F. Serinaldi 10.1029/2008JD011258
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