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Indicators and trends of polar cold airmass

Bibliographic Data

ID15548253
AuthorsYuki Kanno (0000-0001-7587-6697, Nagoya University, corresponding author), John E Walsh (0000-0001-9541-5927, University of Alaska Fairbanks), Muhammad Rais Abdillah (0000-0003-2426-0547, Bandung Institute of Technology), Junpei Yamaguchi (Tohoku University), Toshiki Iwasaki (0000-0003-2110-0687, Tohoku University)
Year2018
Volume14
Issue2
Pages025006-025006
Publication date2018-11-27
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/aaf42b
OpenAlexW2902428924
LanguageEN
Citations received3
References cited26

Trends and variations in the amount of cold airmass in the Arctic and the Northern Hemisphere are evaluated for the 60 year period, 1959–2018. The two indicators are (1) polar cold air mass (PCAM), which is the amount of air below a potential temperature threshold, and (2) negative heat content (NHC), which includes a weighting by coldness. Because the metrics of coldness are based on multiple layers in the atmosphere, they provide a more comprehensive framework for assessment of warming than is provided by surface air temperatures alone. The negative trends of PCAM and NHC are stronger (as a % per decade) when the threshold is 245 K rather than 280 K, indicating that the loss of extremely cold air is happening at a faster rate than the loss of moderately cold air. The loss of cold air has accelerated, as the most rapid loss of NHC has occurred in recent decades (1989–2018). The spatial patterns of the trends of PCAM and NHC provide another manifestation of Arctic amplification. Of the various teleconnection indices, the Atlantic Multidecadal Oscillation shows the strongest correlations with the spatially integrated metrics of moderate coldness. Several Pacific indices also correlate significantly with these indicators. However, the amount of extremely cold air mass does not correlate significantly with the indices of internal variability used here

Arctic · Atmospheric sciences · Climatology · El Niño Southern Oscillation · Geography · Meteorology · Northern Hemisphere · Teleconnection · Warm front · Arctic and Antarctic ice dynamics · Climate variability and models · Cryospheric studies and observations · Environmental Science · Geology · Oceanography

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Citations per year0.43
Citation span2019 - 2023 (5)
Highly citedNo

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