Impact of sea ice decline in the Arctic Ocean on the number of extreme low‐temperature days over China

Ge, Feifan; Yan, Tao; Zhou, Lu; Jiang, Yan; Li, Wei; Fan, Yufen; Wang, Yishu; Mao, Kebiao; Wu, Wenge

doi:10.1002/joc.6277

Cited by 7 publications

(3 citation statements)

References 43 publications

(50 reference statements)

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“…By comparing the variations of Tmax and Tmin, it is noticeable that Tmin were more significantly affected by global warming, either for regional average or station cases. Leading to significant decreasing of cold extremes, this is in line with previous studies (Mwagona et al ., 2018; Hu et al ., 2019; Ge et al ., 2020; Yu et al ., 2020). Seasonally, it is in agreement that warming in winter was the most robust, followed by spring; but trends in summer and autumn were not uniform (Sun et al ., 2008; Zhou et al ., 2020).…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal variations of seasonal temperature at different percentiles in the three provinces of northeast China from 1961 to 2019

Yang

Wang

Liu

et al. 2022

Intl Journal of Climatology

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The three provinces of northeast China (NEPs) were one of the major grain producing areas in China and has undergone significant climate warming during past decades. However, nowadays researches on climate warming mostly focused on variations of mean temperature or temperature extremes, which missed much information in the other parts of temperature. Therefore, taken NEPs as study area, variations of maximum temperature (Tmax), minimum temperature (Tmin) and diurnal temperature range (DTR) at every 10% percentile from 1961 to 2019 in NEPs were analysed at seasonal scale. The abrupt changes and decadal shifts of Tmax, Tmin and DTR at different percentiles were further highlighted. Results show that (a) for either regional average or station cases, fluctuations of daily Tmax and daily Tmin both decreased in spring and winter, but increased in autumn. In summer, fluctuations of daily Tmin decreased while those of daily Tmax increased. (b) Spatially, Tmax heated up more in south of NEPs at lower percentiles, and in northwest of NEPs at higher percentiles in spring, summer and winter. Tmin and DTR overall showed consistent spatial differences that changes in north and northwest of NEPs were with greater magnitudes. (c) In spring and winter, the higher Tmax/Tmin had earlier abrupt changes than lower Tmax/Tmin, while in summer and autumn, the abrupt changes occurred earlier for lower Tmax/Tmin. (d) In winter, overwhelming positive shifts were significant before 2000, but turned negative after 2000. In summer, Tmax heated up quickly since 1990s and Tmin since 1980s. Shifts in spring and autumn varied during different periods and generally presented alternative warming at higher and lower percentiles. The research can help better depict the warming patterns and figure out the detailed warming procedures in NEPs, which is a strong supplement for current climate change research.

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Section: Discussionmentioning

confidence: 99%

Spatiotemporal variations of seasonal temperature at different percentiles in the three provinces of northeast China from 1961 to 2019

Yang

Wang

Liu

et al. 2022

Intl Journal of Climatology

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“…Although these findings provide a foundation regarding the effect of Arctic Sea ice on EPOT and MEPO in ARNC, further investigation is required. Additionally, decline in sea ice concentration in the Barents Sea has a significant negative effect on the number of days with extremely low temperature in China (Ge et al, 2019), and the winter temperature in Xinjiang also has a significant correlation with the ice index of the Barents-Kara seas (Lu et al, 2019b). The Barents-Kara seas sea ice loss could enhance the winter Tibetan Plateau warming (Duan et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Pattern of Occurrence Time of Extreme Precipitation and Circulation Mechanisms in the Arid Region of Northwest China

et al. 2022

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Investigation of extreme precipitation events in arid and semiarid regions, especially for occurrence time and the associated circulation mechanisms, is vital to support the forecasting of and the advanced response to resultant disasters. In this study, the spatiotemporal pattern of occurrence time of extreme precipitation and atmospheric circulation mechanisms in the Arid Region of Northwest China (ARNC) were analyzed using two indicators (precipitation concentration degree and period) and the climate diagnosis method. Results showed that the significant scattered pattern of extreme precipitation occurrence time (EPOT) in Northern Xinjiang and the postponed pattern of maximum extreme precipitation occurrence (MEPO) from southern to northern Xinjiang are consistent with the input pathway of the Arctic air mass. During the anomaly dispersion year of EPOT and the anomaly delay year of MEPO, the Arctic air mass carried sufficient water vapor is transported to ARNC for triggering extreme precipitation events. Meanwhile, the pattern of concentration–dispersion–concentration in eastern ARNC demonstrates interaction between the westerlies and the summer monsoon. Sufficient water vapor is transported to southwestern ARNC by the southwest monsoon during the anomaly delay year of MEPO and the anomaly concentration year of EPOT. The findings of this study suggest that invasion of the Arctic air mass and the summer monsoon could influence extreme precipitation in ARNC.

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“…Mid-latitude weather in the Northern Hemisphere has been widely affected as Arctic sea ice loss has changed the patterns of the jet stream (Francis and Vavrus 2015 ; Ge et al 2020 ; Zou et al 2020 ). This effect has produced cold winters in North America and East Asia (Kug et al 2015 ).…”

Section: Implications For Well-being Beyond the Arcticmentioning

confidence: 99%

Societal implications of a changing Arctic Ocean

Huntington¹,

Zagorsky²,

Kaltenborn

et al. 2021

Ambio

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The Arctic Ocean is undergoing rapid change: sea ice is being lost, waters are warming, coastlines are eroding, species are moving into new areas, and more. This paper explores the many ways that a changing Arctic Ocean affects societies in the Arctic and around the world. In the Arctic, Indigenous Peoples are again seeing their food security threatened and cultural continuity in danger of disruption. Resource development is increasing as is interest in tourism and possibilities for trans-Arctic maritime trade, creating new opportunities and also new stresses. Beyond the Arctic, changes in sea ice affect mid-latitude weather, and Arctic economic opportunities may re-shape commodities and transportation markets. Rising interest in the Arctic is also raising geopolitical tensions about the region. What happens next depends in large part on the choices made within and beyond the Arctic concerning global climate change and industrial policies and Arctic ecosystems and cultures.

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Impact of sea ice decline in the Arctic Ocean on the number of extreme low‐temperature days over China

Cited by 7 publications

References 43 publications

Spatiotemporal variations of seasonal temperature at different percentiles in the three provinces of northeast China from 1961 to 2019

Spatiotemporal variations of seasonal temperature at different percentiles in the three provinces of northeast China from 1961 to 2019

Spatiotemporal Pattern of Occurrence Time of Extreme Precipitation and Circulation Mechanisms in the Arid Region of Northwest China

Societal implications of a changing Arctic Ocean

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