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Using EOF Analysis over a Large Area for Assessing the Climate Impact of Small-Scale Afforestation in a Semiarid Region
Author(s) -
Gil Yosef,
Pinhas Alpert,
Colin Price,
Eyal Rotenberg,
Dan Yakir
Publication year - 2017
Publication title -
journal of applied meteorology and climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.079
H-Index - 134
eISSN - 1558-8432
pISSN - 1558-8424
DOI - 10.1175/jamc-d-16-0253.1
Subject(s) - empirical orthogonal functions , afforestation , environmental science , arid , climate change , climatology , principal component analysis , scale (ratio) , series (stratigraphy) , spatial ecology , humidity , physical geography , atmospheric sciences , meteorology , geography , geology , ecology , agroforestry , mathematics , statistics , cartography , paleontology , oceanography , biology
The authors suggest an approach to analyze the effects of small-scale afforestation on the surrounding climate of a large heterogenic area. While simple statistics have difficulty identifying the effect, here a well-known eigenvector technique is used to overcome several specific challenges that result from a limited research region, complex topography, and multiple atmospheric circulation patterns. This approach is applied to investigate the influence of the isolated Yatir forest, at the north edge of Israel’s Negev Desert. It was found that this forest does influence the daily climate, primarily seen in the main pattern of the empirical orthogonal function (EOF) of temperature and humidity. The EOF explains 93% and 80%, respectively, of the total variance in the data. Although the Yatir forest is small, it is significant in regulating the climate in the nearby surroundings, as it is located in a sharp transition area toward an arid climate. The results are presented as maps of correlation and re...

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