A Hierarchical and Divisive Cluster Analysis of Rainfall Spatio-Temporal Pattern of Iran
Publish place: 1st Iran-Korea Joint Workshop on Climate Modeling
Publish Year: 1384
Type: Conference paper
Language: English
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Document National Code:
IKWCM01_036
Index date: 13 August 2006
A Hierarchical and Divisive Cluster Analysis of Rainfall Spatio-Temporal Pattern of Iran abstract
Variability of both the temporal and spatial distribution of rainfall in Iran makes -the identification of rainfall patterns an essential task for hydrologists, climatologists and regional and local planners and managers. The aim of this study is to classify these temporal and spatial rainfall patterns through hierarchical and divisive cluster analysis. The results showed that there are eight main spatial groups of annual rainfall over Iran. These groups are then classified into 3 main seasonal rainfall regimes namely winter, winter-spring and fall regime. The results also showed the influence of height and sea neighborhood on rainfall pattern of Iran.-we also show that them arh methoh ofhierarchich h'uster pefi~mks t spa51A -pattt-m very well.
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A Hierarchical and Divisive Cluster Analysis of Rainfall Spatio-Temporal Pattern of Iran authors
Saeed Soltani
Faculty of Natural Resources, Isfahan university of Technology Corresponding Author
Reza Modarres
Faculty of Natural Resources, Isfahan university of Technology
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