不凉爽:加拿大北极地区寒冷天气的损失

IF 1.6 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES
D. Blair, Amy Mann, Halah Mhanni, Safia Soussi, Matthew Loxley
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引用次数: 0

摘要

摘要大多数关于北极气候变化的研究都报告了气候变暖的程度。在这项研究中,我们使用加拿大北部34个气象站1950–2020年每日观测到的最低温度来研究该地区每年减少寒冷天气(−30°C或更低)的速度。Kendall–Theil趋势分析用于评估趋势的强度和重要性。29个气象站出现了显著的负趋势,平均每十年减少4.89个年冷日;近几十年来,这些气象站平均减少了40%以上的寒冷天气。一组缩小规模的耦合模型相互比较项目,第5阶段(CMIP5)模型用于显示在代表性浓度途径(RCP4.5和RCP8.5)情景下,预计未来几十年的寒冷天数将如何变化。最后,我们讨论了加拿大北极及其他地区寒冷天气损失的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Not Cool: On the Loss of Cold Weather in the Canadian Arctic
ABSTRACT Most studies of climate change in the Arctic report how much warmer the climate is getting. In this study we use 1950–2020 daily observed minimum temperatures at 34 weather stations in Canada’s north to examine how rapidly the region is losing annual occurrences of cold weather (−30°C or colder). Kendall–Theil trend analysis is used to assess the strength and significance of trends. Twenty-nine of the stations were found to have significant negative trends, with an average of 4.89 fewer annual cold days per decade; on average, the stations have lost over 40% of their cold days in recent decades. An ensemble of downscaled Coupled Model Intercomparison Project, phase 5 (CMIP5) models is used to show how the numbers of cold days are projected to change in the coming decades with the representative concentration pathway (RCP4.5 and RCP8.5) scenarios. Finally, we discuss the implications of the loss of cold weather in the Canadian Arctic and beyond.
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来源期刊
Atmosphere-Ocean
Atmosphere-Ocean 地学-海洋学
CiteScore
2.50
自引率
16.70%
发文量
33
审稿时长
>12 weeks
期刊介绍: Atmosphere-Ocean is the principal scientific journal of the Canadian Meteorological and Oceanographic Society (CMOS). It contains results of original research, survey articles, notes and comments on published papers in all fields of the atmospheric, oceanographic and hydrological sciences. Arctic, coastal and mid- to high-latitude regions are areas of particular interest. Applied or fundamental research contributions in English or French on the following topics are welcomed: climate and climatology; observation technology, remote sensing; forecasting, modelling, numerical methods; physics, dynamics, chemistry, biogeochemistry; boundary layers, pollution, aerosols; circulation, cloud physics, hydrology, air-sea interactions; waves, ice, energy exchange and related environmental topics.
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