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    Trends and Variability in Airmass Frequencies: Indicators of a Changing Climate

    Source: Journal of Climate:;2020:;volume( 33 ):;issue: 019::page 8603
    Author:
    Lee, Cameron C.
    DOI: 10.1175/JCLI-D-20-0094.1
    Publisher: American Meteorological Society
    Abstract: Recent international efforts at communicating climate change have begun using the notion of a climate indicator—a climate-related metric that can be used to track changes in the Earth system over time. Based upon a recently developed global-scale classification of daily air masses, this research examines the trends and variability in the frequencies of these air masses and then utilizes them to develop two nontraditional climate indicators: a warm/cool index (WCI) and a global extremes index (GEI). Results show that both indices trend significantly upward over the 40-yr period of record, indicating an increase in warm-based air masses (WCI) and extreme air masses (GEI). The two indices also exhibit a moderate (GEI) to strong (WCI) association with the global mean temperature record, multiple near-surface climate variables, and other existing climate indicators over that same time, showing promise as global indicators. Shorter-term variability in these indices also show a linear relationship between the WCI and changes in the Atlantic multidecadal oscillation and a nonlinear relationship between GEI and El Niño–Southern Oscillation. While many published climate indicators are based upon a single variable, and/or are regional in scope, the two indices presented herein are unique in that they are representative of the trends in the multivariate (and extreme, in the case of the GEI) weather conditions that are experienced near Earth’s surface, while also being global in scope.
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      Trends and Variability in Airmass Frequencies: Indicators of a Changing Climate

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    contributor authorLee, Cameron C.
    date accessioned2022-01-30T17:59:40Z
    date available2022-01-30T17:59:40Z
    date copyright9/4/2020 12:00:00 AM
    date issued2020
    identifier issn0894-8755
    identifier otherjclid200094.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264318
    description abstractRecent international efforts at communicating climate change have begun using the notion of a climate indicator—a climate-related metric that can be used to track changes in the Earth system over time. Based upon a recently developed global-scale classification of daily air masses, this research examines the trends and variability in the frequencies of these air masses and then utilizes them to develop two nontraditional climate indicators: a warm/cool index (WCI) and a global extremes index (GEI). Results show that both indices trend significantly upward over the 40-yr period of record, indicating an increase in warm-based air masses (WCI) and extreme air masses (GEI). The two indices also exhibit a moderate (GEI) to strong (WCI) association with the global mean temperature record, multiple near-surface climate variables, and other existing climate indicators over that same time, showing promise as global indicators. Shorter-term variability in these indices also show a linear relationship between the WCI and changes in the Atlantic multidecadal oscillation and a nonlinear relationship between GEI and El Niño–Southern Oscillation. While many published climate indicators are based upon a single variable, and/or are regional in scope, the two indices presented herein are unique in that they are representative of the trends in the multivariate (and extreme, in the case of the GEI) weather conditions that are experienced near Earth’s surface, while also being global in scope.
    publisherAmerican Meteorological Society
    titleTrends and Variability in Airmass Frequencies: Indicators of a Changing Climate
    typeJournal Paper
    journal volume33
    journal issue19
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-20-0094.1
    journal fristpage8603
    journal lastpage8617
    treeJournal of Climate:;2020:;volume( 33 ):;issue: 019
    contenttypeFulltext
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