Arctic and Pacific Ocean Conditions Were Favorable for Cold Extremes over Eurasia and North America during Winter 2020/21Source: Bulletin of the American Meteorological Society:;2022:;volume( 103 ):;issue: 010::page E2285DOI: 10.1175/BAMS-D-21-0264.1Publisher: American Meteorological Society
Abstract: A sequence of extreme cold events occurred across Eurasia and North America during winter 2020/21. Here, we explore the causes and associated mechanisms for the extremely cold temperatures using both observations and large-ensemble simulations. Experiments were conducted with observed ocean surface boundary conditions prescribed globally, and regionally to discern the specific influence of Arctic, tropical Pacific, and North Pacific drivers. Increased likelihood of daily cold extremes in mid-December to mid-January are found in Eurasian midlatitudes in response to reduced Arctic sea ice. Tropical sea surface temperature anomalies, more specifically the La Niña pattern, increased probability of extreme cold over high-latitude Eurasia in early January to early February. Both reduced Arctic sea ice and La Niña increased the probability of daily cold extremes over western North America in late January to late February. We conclude that a combination of reduced Arctic sea ice, La Niña, and a sudden stratospheric warming in January 2021 were factors in the February 2021 extreme cold wave that caused huge societal disruptions in Texas and the southern Great Plains. Although the magnitude of the simulated cold extremes are relatively small when compared with observed anomalies, the Arctic and Pacific Ocean surface conditions in winter 2020/21 increased the probability of cold days as cold or colder than observed by approximately 17%–43%.
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contributor author | Ruonan Zhang | |
contributor author | James A. Screen | |
contributor author | Renhe Zhang | |
date accessioned | 2023-04-12T18:50:03Z | |
date available | 2023-04-12T18:50:03Z | |
date copyright | 2022/10/26 | |
date issued | 2022 | |
identifier other | BAMS-D-21-0264.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4290320 | |
description abstract | A sequence of extreme cold events occurred across Eurasia and North America during winter 2020/21. Here, we explore the causes and associated mechanisms for the extremely cold temperatures using both observations and large-ensemble simulations. Experiments were conducted with observed ocean surface boundary conditions prescribed globally, and regionally to discern the specific influence of Arctic, tropical Pacific, and North Pacific drivers. Increased likelihood of daily cold extremes in mid-December to mid-January are found in Eurasian midlatitudes in response to reduced Arctic sea ice. Tropical sea surface temperature anomalies, more specifically the La Niña pattern, increased probability of extreme cold over high-latitude Eurasia in early January to early February. Both reduced Arctic sea ice and La Niña increased the probability of daily cold extremes over western North America in late January to late February. We conclude that a combination of reduced Arctic sea ice, La Niña, and a sudden stratospheric warming in January 2021 were factors in the February 2021 extreme cold wave that caused huge societal disruptions in Texas and the southern Great Plains. Although the magnitude of the simulated cold extremes are relatively small when compared with observed anomalies, the Arctic and Pacific Ocean surface conditions in winter 2020/21 increased the probability of cold days as cold or colder than observed by approximately 17%–43%. | |
publisher | American Meteorological Society | |
title | Arctic and Pacific Ocean Conditions Were Favorable for Cold Extremes over Eurasia and North America during Winter 2020/21 | |
type | Journal Paper | |
journal volume | 103 | |
journal issue | 10 | |
journal title | Bulletin of the American Meteorological Society | |
identifier doi | 10.1175/BAMS-D-21-0264.1 | |
journal fristpage | E2285 | |
journal lastpage | E2301 | |
page | E2285–E2301 | |
tree | Bulletin of the American Meteorological Society:;2022:;volume( 103 ):;issue: 010 | |
contenttype | Fulltext |