Extreme Cold Days and Spells in Northern Europe at 0.5°C–2.0°C Global Warming Levels

IF 3.5 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Kimmo Ruosteenoja, Kirsti Jylhä
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Abstract

Projections for cold days and spells in Northern Europe at global warming levels of 0.5°C–2.0°C are derived from bias-corrected output data from 60 runs performed with 25 global climate models. The threshold temperature of a cold day is defined as the 10th percentile of December–February daily mean temperatures at the 0.5°C warming level. A transition from the 0.5°C to the 2.0°C warming level reduces the multi-model mean annual number of cold days by 60%–80%. The total cold day extremity index, consisting of the sum of anomalies below the threshold temperature during the cold season, is reduced even more, by 70%–90%. The largest changes occur in the Kola Peninsula and regions surrounding the White and Baltic Seas. This pattern of change is consistent with the signal-to-noise ratio of the winter mean temperature increase. Nevertheless, inter-model differences in the response are substantial, being largely attributable to the manner in which global warming affects regional winter temperatures. To assess the occurrence of severe cold spells, a 1200-year sample was established by concatenating the bias-corrected output of all 60 model runs. From this extensive sample, it is feasible to robustly determine the return levels of even very extreme cold spells. A severe cold spell occurring once in 10 years on average at the 0.5°C warming level would be experienced approximately once in 30 (70) years at the 1.5°C (2.0°C) level. Correspondingly, a baseline-climate 100-year cold spell would occur at the 2°C warming level less frequently than once in a 1000 years.

Abstract Image

在0.5°C - 2.0°C的全球变暖水平下,北欧极端寒冷的日子和阵雨
在全球变暖水平为0.5°C - 2.0°C时,对北欧寒冷天数和寒期的预估是根据25个全球气候模式进行的60次运行的经偏差校正的输出数据得出的。寒冷天气的阈值温度定义为在升温0.5°C的水平下,12月至2月的日平均温度的第10个百分位数。从0.5°C变暖到2.0°C变暖水平的转变将使多模式年平均寒冷日数减少60%-80%。由寒冷季节低于阈值温度的异常总和组成的总寒冷日极限指数下降得更多,减少了70%-90%。最大的变化发生在科拉半岛以及白海和波罗的海周边地区。这种变化模式与冬季平均气温上升的信噪比一致。然而,模式间的响应差异很大,这主要归因于全球变暖影响区域冬季温度的方式。为了评估严重寒流的发生,通过连接所有60个模式运行的偏差校正输出,建立了一个1200年的样本。从这个广泛的样本中,可以可靠地确定即使是非常极端的寒冷时期的回归水平。在0.5°C升温水平下平均每10年发生一次的严重寒流,在1.5°C(2.0°C)升温水平下大约每30(70)年经历一次。相应地,在升温2°C的水平下,基线气候100年的寒潮发生的频率将低于1000年一次。
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来源期刊
International Journal of Climatology
International Journal of Climatology 地学-气象与大气科学
CiteScore
7.50
自引率
7.70%
发文量
417
审稿时长
4 months
期刊介绍: The International Journal of Climatology aims to span the well established but rapidly growing field of climatology, through the publication of research papers, short communications, major reviews of progress and reviews of new books and reports in the area of climate science. The Journal’s main role is to stimulate and report research in climatology, from the expansive fields of the atmospheric, biophysical, engineering and social sciences. Coverage includes: Climate system science; Local to global scale climate observations and modelling; Seasonal to interannual climate prediction; Climatic variability and climate change; Synoptic, dynamic and urban climatology, hydroclimatology, human bioclimatology, ecoclimatology, dendroclimatology, palaeoclimatology, marine climatology and atmosphere-ocean interactions; Application of climatological knowledge to environmental assessment and management and economic production; Climate and society interactions
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