A hybrid model for statistical downscaling of daily rainfall

• Main Authors: Pour, S. H., Shahid, S., Chung, E. S.
• Format: Conference or Workshop Item
• Published: Elsevier Ltd 2016
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/73639/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997770183&doi=10.1016%2fj.proeng.2016.07.514&partnerID=40&md5=c6b9a0478471b6892679cb1ea6312149

The robustness of random forest (RF) in classification and superiority of support vector machine (SVM) to fit highly non-linear data were used to develop a hybrid model for statistical downscaling of daily rainfall. The RF was used to predict whether rain will occur in a day or not and SVM was used...