DOI: 10.2166/wcc.2016.112
论文题名: Selection of global climate models for India using cluster analysis
作者: Srinivasa Raju K. ; Nagesh Kumar D.
刊名: Journal of Water and Climate Change
ISSN: 20402244
出版年: 2016
卷: 7, 期: 4 起始页码: 764
结束页码: 774
语种: 英语
英文关键词: Cluster
; Davies–bouldin index
; Ensemble
; Global climate models
; India
; K-means
英文摘要: Global climate models (GCMs) are gaining importance due to their capability to ascertain climate variables that will be useful to develop long, medium and short term water resources planning strategies. The applicability of K-Means cluster analysis is explored for grouping 36 GCMs from Coupled Model Intercomparison Project 5 for maximum temperature (MAXT), minimum temperature (MINT) and a combination of maximum and minimum temperature (COMBT) over India. Cluster validation methods, namely the Davies–Bouldin Index (DBI) and F-statistic, are used to obtain an optimal number of clusters of GCMs for India. The indicator chosen for evaluation of GCMs is the probability density function based skill score. It is noticed that the optimal number of clusters for MAXT, MINT and COMBT scenarios are 3, 2 and 2, respectively. Accordingly, suitable ensembles of GCMs are suggested for India for MAXT, MINT and COMBT individually. The suggested methodology can be extended to any number of GCMs and indicators, with minor modifications. © IWA Publishing 2016. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/67603
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: Department of Civil Engineering, Birla Institute of Technology and Science-Pilani, Hyderabad, India; Department of Civil Engineering, Indian Institute of Science, Bangalore, India; Centre for Earth Sciences, Indian Institute of Science, Bangalore, India
Recommended Citation:
Srinivasa Raju K.,Nagesh Kumar D.. Selection of global climate models for India using cluster analysis[J]. Journal of Water and Climate Change,2016-01-01,7(4)