The relationship between wintertime extreme temperature events north of 60°N and large‐scale atmospheric circulations

Yu, Lejiang; Sui, Cuijuan; Lenschow, Donald H.; Zhou, Mingyu

doi:10.1002/joc.5024

Cited by 8 publications

(6 citation statements)

References 24 publications

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“…Guan et al (2015), examining daily minimum and maximum temperature, found that the Yangtze River Basin was dominated by a general cooling trend during the period 1960-1985, but a warming trend in 1986-2012 and that cold-related indices significantly decreased and warm-related indices significantly increased. The increased extreme warm temperature and decreased extreme cold temperature events at a regional scale strongly influence the natural environment (Overland et al, 2014;Yu et al, 2017). Therefore, a quantitative analysis and prediction of the trends and changes of extreme temperature in local scale is highly required.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Variability in Daily Temperature Extremes and Their Relationships with Large-scale Atmospheric Circulation During 1960–2015 in Xinjiang, China

2020

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Climate changes are likely to increase the risk of numerous extreme weather events throughout the world. The objectives of this study were to investigate and analyze the temporal-spatial variability patterns of temperature extremes based on daily maximum (TX) and minimum temperature (TN) data collected from 49 meteorological stations in Xinjiang of China during 1960-2015. These temperature data were also used to assess the impacts of altitude on the temperature extremes. Additionally, possible teleconnections with the large-scale circulation pattern (the El Nino-Southern Oscillation, ENSO and Arctic Oscillation, AO) were investigated. Results showed that all percentile indices had trends consistent with warming in most parts of Xinjiang during 1960-2015, but the warming was more pronounced for indices derived from TN compared to those from TX. The minimum TN and maximum TX increased at rates of 0.16 /10 yr and 0.59 /10 yr, respectively during 1960 ℃ ℃-2015. Accordingly, the diurnal temperature range showed a significant decreasing trend of-0.23 /10 yr for the whole study area. The frequency of the annual average of the warm events s ℃ howed significant increasing trends while that of the cold events presented decreasing trends. Over the same period, the number of frost days showed a statistically significant decreasing trend of-3.37 d/10 yr. The number of the summer days and the growing season showed significant increasing trends at rates of 1.96 and 2.74 d/10 yr, respectively. The abrupt change year of each index was from the 1980s to the 1990s, showing that this periodic interval was a transitional phase between cold and warm climate change. Significant correlations of temperature extremes and elevation included the trends of tropical nights, growing season frequency, and cold spell duration indicator. This result also indicated the clear and complex local influence on climatic extremes. In addition, the relationship between each index of the temperature extremes with large-scale atmospheric circulation (ENSO and AO) demonstrated that the influence of ENSO on each index of the temperature extremes was greater than that of the AO in Xinjiang.

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Section: Introductionmentioning

confidence: 99%

Dynamic Variability in Daily Temperature Extremes and Their Relationships with Large-scale Atmospheric Circulation During 1960–2015 in Xinjiang, China

2020

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“…Popova (2007) documented a negative relationship between the NAO and snow depth in northwest Russia because in mild winters precipitation is more likely to fall as rain. Other studies have analyzed the effects of the Arctic Oscillation (AO), which is broadly analogous to the NAO, and shown similar climatic relationships (e.g., Frey and Smith 2003;Yu et al 2017). Previous work has also revealed that variability in autumn Eurasian snow cover, Arctic sea ice extent, North Atlantic sea surface temperature, and regional atmospheric circulation anomalies can feed back onto the subsequent winter NAO/AO (e.g., Chen et al 2020;Cohen et al 2020;Henderson et al 2018;Kryjov 2015;Wu et al 2013).…”

Section: Circulation Pattern Acronymmentioning

confidence: 99%

“…It has also been linked to above average precipitation in the West Siberian Plains and the Kola Peninsula (Ionita 2014;Lim 2015). During the positive phase of the winter SCA most of Eurasia north of 408N is colder than normal (Liu et al 2014), with an increase in the frequency of extreme cold events (Yu et al 2017). Decreased precipitation occurs over northwestern Russia, the West Siberian Plains, and some of the Arctic coastal region, associated with reduced storm-track activity (Bueh and Nakamura 2007;Popova 2007;Liu et al 2014).…”

Section: Circulation Pattern Acronymmentioning

confidence: 99%

Decadal Variability in the Impact of Atmospheric Circulation Patterns on the Winter Climate of Northern Russia

Marshall

2021

Journal of Climate

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The Arctic continues to warm at a much faster rate than the global average. One process contributing to ‘Arctic amplification’ involves changes in low-frequency macro-scale atmospheric circulation patterns and their consequent influence on regional climate. Here, using ERA5 reanalysis data, we examine decadal changes in the impact of seven such patterns on winter near-surface temperature (SAT) and precipitation (PPN) in northern Russia and calculate the temporal consistency of any statistically significant relationships. We demonstrate that the 40-year climatology hides considerable decadal variability in the spatial extent of such circulation pattern-climate relationships across the region, with few areas where their temporal consistency exceeds 60%. This is primarily a response to the pronounced decadal expansion/contraction and/or mobility of the circulation patterns’ centers of action. The North Atlantic Oscillation (NAO) is the dominant pattern (having the highest temporal consistency) affecting SAT west of the Urals. Further east, the Scandinavian (SCA), Polar/Eurasia (POL) and West Pacific patterns are successively the dominant pattern influencing SAT across the West Siberian Plains, Central Siberian Plateau and mountains of Far East Siberia, respectively. From west to east, the SCA, POL and Pacific North American patterns exert the most consistent decadal influence on PPN. The only temporally invariant significant decadal relationships occur between the NAO and SAT and the SCA and PPN in small areas of the North European Plain.

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“…After data quality control and homogeneity, sixteen extreme indices (Table 1) were selected. These indices are widely used to evaluate the changes in climate extremes [22,[49][50][51]. The possible associations between the chosen indices and the ACPs were analyzed by a multiple regression method.…”

Section: Datamentioning

confidence: 99%

Magnitude and Frequency of Temperature and Precipitation Extremes and the Associated Atmospheric Circulation Patterns in the Yellow River Basin (1960–2017), China

Dong

Zhang

Zhou

et al. 2019

Water

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Since there are many destructive effects caused by extreme climate events in the Yellow River, it is of great theoretical and practical significance to explore the variations of climatic extremes in this key basin. We used a meteorological dataset from 66 stations within the Yellow River basin (YRB) for the period 1960–2017 to calculate magnitude and frequency of precipitation/temperature extremes. We also analyzed the relationships between the main large-scale atmospheric circulation patterns (ACPs) and precipitation/temperature extremes. The trends in precipitation extremes were nonsignificant, only a few stations were characterized by significantly increasing or decreasing anomalies; this indicates the precipitation intensity may have been strengthened, and the extreme rainfall duration appears to have been reduced during 1960–2017. The trends of magnitudes for “cold” extremes were larger than those for “warm” extremes, changes of trends in frost days were higher than those for summer days, and the trends in increasing warm nights were higher than those of warm days. The influence of the El Niño–Southern Oscillation (ENSO) and Arctic Oscillation (AO) on temperature extremes outweighed the influence of the North Atlantic Oscillation (NAO), Indian Ocean Dipole (IOD), and Pacific Decadal Oscillation (PDO) for the other extreme climate indices. The YRB might be at risk of increased extreme high temperature events, and more attention should be paid to this higher risk of extreme climatic events.

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The relationship between wintertime extreme temperature events north of 60°N and large‐scale atmospheric circulations

Cited by 8 publications

References 24 publications

Dynamic Variability in Daily Temperature Extremes and Their Relationships with Large-scale Atmospheric Circulation During 1960–2015 in Xinjiang, China

Dynamic Variability in Daily Temperature Extremes and Their Relationships with Large-scale Atmospheric Circulation During 1960–2015 in Xinjiang, China

Decadal Variability in the Impact of Atmospheric Circulation Patterns on the Winter Climate of Northern Russia

Magnitude and Frequency of Temperature and Precipitation Extremes and the Associated Atmospheric Circulation Patterns in the Yellow River Basin (1960–2017), China

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