Climate classification through recursive multivariate statistical inferences: a case study of the Athabasca River Basin, Canada

• Published in: International Journal of Climatology
• Main Authors: Cheng, Guanhui, Huang, Guohe, Dong, Cong, Zhou, Xiong, Zhu, Jinxin, Xu, Ye
• Other Authors: Natural Sciences Foundation, Program for Innovative Research Team in University, 111 Project, Natural Science and Engineering Research Council of Canada
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2017
• Subjects: Athabasca River; Canada; Nash
• Online Access: http://dx.doi.org/10.1002/joc.5052; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.5052; https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.5052

ABSTRACT In this study, a recursive dissimilarity and similarity inferential climate classification ( ReDSICC ) approach is developed to provide an alternative tool for climate classification. Based on incorporation of a discrete distribution transformation ( DDT ) method and integration of advanced...