Fuzzy Clustering-Based Ensemble Approach to Predicting Indian Monsoon
Joint Authors
Saha, Moumita
Mitra, Pabitra
Chakraborty, Arun
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-25
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Indian monsoon is an important climatic phenomenon and a global climaticmarker.
Both statistical and numerical prediction schemes for Indian monsoonhave been widely studied in literature.
Statistical schemes are mainly basedon regression or neural networks.
However, the variability of monsoon is significant over the years and a single model is often inadequate.
Meteorologists revisetheir models on different years based on prevailing global climatic incidents likeEl-Niño.
These indices often have degree of severity associated with them.
In thispaper, we cluster the monsoon years based on their fuzzy degree of associativityto these climatic event patterns.
Next, we develop individual prediction modelsfor the year clusters.
A weighted ensemble of these individual models is usedto obtain the final forecast.
The proposed method performs competitively withexisting forecast models.
American Psychological Association (APA)
Saha, Moumita& Mitra, Pabitra& Chakraborty, Arun. 2015. Fuzzy Clustering-Based Ensemble Approach to Predicting Indian Monsoon. Advances in Meteorology،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1052705
Modern Language Association (MLA)
Saha, Moumita…[et al.]. Fuzzy Clustering-Based Ensemble Approach to Predicting Indian Monsoon. Advances in Meteorology No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1052705
American Medical Association (AMA)
Saha, Moumita& Mitra, Pabitra& Chakraborty, Arun. Fuzzy Clustering-Based Ensemble Approach to Predicting Indian Monsoon. Advances in Meteorology. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1052705
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052705