Climate regionalization in Bolivia: A combination of non‐hierarchical and consensus clustering analyses based on precipitation and temperature. (11th February 2020)

• Record Type: Journal Article
• Authors: Abadi, Azar M.; Rowe, Clinton M.; Andrade, Marcos
• Is Part Of: International journal of climatology. Volume 40:Number 10(2020)
• Page Start: 4408
• Page End: 4421
• Publication Date: 2020-02-11
• Subjects: climate regionalization -- consensus clustering -- k‐means clustering; Climatology -- Periodicals; Climat -- Périodiques; Climatologie -- Périodiques; 551.605
• DOI: 10.1002/joc.6464
• Languages: English
• ISSNs: 0899-8418

Abstract

Abstract: Climate regionalization is an inseparable part of many climate change and environmental studies. Delineating climatologically homogeneous regions enhances the utility of such studies and reduces the biases due to the uncertainties associated with climate model outputs at individual grid points which both lead to better understanding of the atmospheric mechanisms affecting a region's climate. Throughout time, researchers and statisticians have developed different methods to perform regionalization in which the techniques are highly dependent on the nature and accessibility of the data. This research aims to divide Bolivia into smaller, coherent climate subdivisions. To achieve this goal, we first apply the non‐hierarchical k ‐means clustering method to climatologies of monthly accumulated precipitation and monthly average temperature separately using a gridded observation dataset for Bolivia spanning from 1979 to 2010. The clustering is performed on the two variables separately to avoid arbitrary attribute scaling and information redundancy as well as to gain a better understanding of these individual variables across Bolivia. Consensus clustering then finds the categorical intersection of the two independent clusters to create homogeneous climate regions. Results from this study show that Bolivia can be divided into 10 climatically distinguishable subdivisions largely explicable by topography and latitude, which are the key climate control factors in the region. Abstract : Bolivia's climate is well represented by 10 climatically homogeneous regions largely owing to latitudinal and altitudinal gradients that affect the mechanisms responsible for the seasonal changes in precipitation and temperature. Our findings also show that the two variables of precipitation and temperature exert more variable weights in different seasons. This regionalization will next be used as a framework to investigate the impacts of climate change in a regional climate downscaling study over Bolivia.