Untangling of northern midaltitude near surface air temperature and snow cover frequency trends with multidimensional ensemble empirical mode decomposition

doi:10.7523/j.ucas.2021.0060

Abstract

Abstract: The Arctic has warmed more rapidly than the globe as a whole, while the northern midlatitudes have experienced more frequent severe winters. The anomalous climate pattern has drawn wide attentions. Here we improved the method fast multidimensional ensemble empirical mode decomposition (Fast-MEEMD) to extract the long-term trends of near surface air temperature (SAT) and snow cover frequency (SCF). The results show evident "warming arctic-cooling continent (WACC)" pattern. From the perspective of cumulative change, SAT over central Eurasia has decreased, the Siberia High has amplified and the SCF over Eastern Asian has increased since 1990s. while in term of changing rate, this accelerated cooling tendency over midlatitudes is mainly occurred between 1990s-2000s. Therefore, the cooling trends may develop as short rather than long-term trends. The study provides new materials to evaluate the roles of other factors in driving midlatitudes cooling.

Key words: near surface air temperature, snow cover frequency, fast multidimensional ensemble empirical mode decomposition

CLC Number:

P467

LIU Quan, YAO Fengmei. Untangling of northern midaltitude near surface air temperature and snow cover frequency trends with multidimensional ensemble empirical mode decomposition[J]. Journal of University of Chinese Academy of Sciences, 2023, 40(2): 191-202.

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