Articles | Volume 17, issue 7
https://doi.org/10.5194/hess-17-2487-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-17-2487-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
05 Jul 2013
Research article |
| 05 Jul 2013
Circulation pattern based parameterization of a multiplicative random cascade for disaggregation of observed and projected daily rainfall time series
D. Lisniak
Federal Institute of Hydrology, Department of Water Balance, Forecasting and Predictions, Am Mainzer Tor 1, 56068 Koblenz, Germany
J. Franke
Technische Universität Dresden, Faculty of Forest-, Geo- and Hydro Sciences, Institute of Hydrology and Meteorology, Chair of Meteorology, Pienner Str. 23, 01737 Tharandt, Germany
C. Bernhofer
Technische Universität Dresden, Faculty of Forest-, Geo- and Hydro Sciences, Institute of Hydrology and Meteorology, Chair of Meteorology, Pienner Str. 23, 01737 Tharandt, Germany
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- Improvement of extreme rainfall characteristics for disaggregation of rainfall using MMRC with machine learning based DBSCAN clustering algorithm D. Chowdhury & U. Saha 10.1007/s12145-024-01309-3
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- Space-time disaggregation of precipitation and temperature across different climates and spatial scales K. Breinl & G. Di Baldassarre 10.1016/j.ejrh.2018.12.002
- An open-source MEteoroLOgical observation time series DISaggregation Tool (MELODIST v0.1.1) K. Förster et al. 10.5194/gmd-9-2315-2016
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- Incorporating circulation statistics in bias correction of GCM ensembles: hydrological application for the Rhine basin C. Photiadou et al. 10.1007/s00382-015-2578-1
19 citations as recorded by crossref.
- A new discrete multiplicative random cascade model for downscaling intermittent rainfall fields M. Schleiss 10.5194/hess-24-3699-2020
- 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 10.1016/j.jhydrol.2023.129478
- 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
- Improvement of extreme rainfall characteristics for disaggregation of rainfall using MMRC with machine learning based DBSCAN clustering algorithm D. Chowdhury & U. Saha 10.1007/s12145-024-01309-3
- 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
- Regionalisation of rainfall depth–duration–frequency curves with different data types in Germany B. Shehu et al. 10.5194/hess-27-1109-2023
- Development of an inclusive, scalable, and flexible hydrologic modeling system: Establishing integrated flood simulation system at agricultural watersheds J. Kwak et al. 10.1016/j.envsoft.2024.106225
- Multivariate non-parametric Euclidean distance model for hourly disaggregation of daily climate data C. Görner et al. 10.1007/s00704-020-03426-7
- Application of Synthetic Meteorological Time Series in BROOK90: A Case Study for the Tharandt Forest in Saxony, Germany K. Rico et al. 10.4236/ojmh.2013.34026
- Temporal rainfall disaggregation using a micro-canonical cascade model: possibilities to improve the autocorrelation H. Müller-Thomy 10.5194/hess-24-169-2020
- Space-time disaggregation of precipitation and temperature across different climates and spatial scales K. Breinl & G. Di Baldassarre 10.1016/j.ejrh.2018.12.002
- An open-source MEteoroLOgical observation time series DISaggregation Tool (MELODIST v0.1.1) K. Förster et al. 10.5194/gmd-9-2315-2016
- 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
- Incorporation of weather parameters in MMRC-K model for rainfall disaggregation D. Chowdhury et al. 10.1007/s00477-024-02863-4
- 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
- Disaggregation of rainfall from daily to 1-hour scale through integrated MMRC-copula modelling P. Biswas & U. Saha 10.1016/j.jhydrol.2024.132338
- An hourly‐scale scenario‐neutral flood risk assessment in a mesoscale catchment under climate change D. Kim et al. 10.1002/hyp.13273
- Multisite temporal rainfall disaggregation using methods of fragments conditioned on circulation patterns X. Guan et al. 10.1016/j.jhydrol.2023.129640
- Evaluation of future flood probability in agricultural reservoir watersheds using an integrated flood simulation system J. Kwak et al. 10.1016/j.jhydrol.2023.130463
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