UDC

551.58

DOI

10.17238/issn2227-6572.2021.21.1.8

Authors

Alexander Sadovski^1
1Bulgarian Science Center of the IEAS, Sofia, Bulgaria
Maria Ivanova^2
2ISSATPP „N. Poushkarov“, Sofia, Bulgaria
Corresponding author: Alexander Sadovski (bsc.ieas@yahoo.com)

Abstract

In many fields including agroclimatology, pedology, plant introduction, environmental health and agricultural transfer, detection of areas of similar climate is of significant interest. Numerical methods including cluster analysis, similarity measures, and other techniques were used to compare climatic data from Islandian meteorological stations to classify them according to similar homoclimate. Using Euclidean distance and City-block (Manhattan) distance, data from Iceland, Finland, Sweden, Norway, and Alaska state of the USA were analyzed to reveal homoclime. One of the conclusions from the study is that Iceland has a similar climate to Alaska and Norway. Climate change is already affecting agriculture, with effects unevenly distributed across the world. These changes will undoubtedly lead to a reconsideration of the question of allocation of appropriate agricultural crops to given areas and evaluation of bioclimatic resources in territories with similar climate. Results from this study are related to the territory of Iceland, but the approach to classify meteorological stations according to similar homoclimate and reveal homoclime in selected territories is applicable everywhere in the world.

Keywords

climate change; cluster analysis; homoclimate; homoclime; similarity measures

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