Model output statistics downscaling using support vector machine for the projection of spatial and temporal changes in rainfall of Bangladesh
A model output statistics (MOS) downscaling approach based on support vector machine (SVM) is proposed in this study for the projection of spatial and temporal changes in rainfall of Bangladesh. A combination of past performance assessment and envelope-based methods is used for the selection of GCM...
Saved in:
Main Authors: | Pour, Sahar Hadi, Shahid, Shamsuddin, Chung, Eun Sung, Wang, Xiao Jun |
---|---|
Format: | Article |
Published: |
Elsevier Ltd
2018
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/84447/ http://dx.doi.org/10.1016/j.atmosres.2018.06.006 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-variable model output statistics downscaling for the projection of spatio-temporal changes in rainfall of Borneo island
by: Sa'adi, Zulfaqar, et al.
Published: (2020) -
A hybrid model for statistical downscaling of daily rainfall
by: Pour, S. H., et al.
Published: (2016) -
Projection of spatial and temporal changes of rainfall in Sarawak of Borneo Island using statistical downscaling of CMIP5 models
by: Sa'adi, Z., et al.
Published: (2017) -
Predictors and their domain for statistical downscaling of climate in Bangladesh
by: Alamgir, Mahiuddin, et al.
Published: (2016) -
Genetic programming for the downscaling of extreme rainfall events on the East Coast of Peninsular Malaysia
by: Shahid, Shamsuddin, et al.
Published: (2014)