Extreme Temperature Events during 1960–2017 in the Arid Region of Northwest China: Spatiotemporal Dynamics and Associated Large-Scale Atmospheric Circulation

Pi, Yuanyue; Yu, Ye; Zhang, Yuqing; Xu, Chong‐Yu; Yu, Rucong

doi:10.3390/su12031198

Cited by 15 publications

(17 citation statements)

References 69 publications

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“…When T min = 10th percentile, the mean T min reached −3.04°C in the whole basin occupying 95% of the total area where T min < −1°C. It is generally accepted that a T min below the 10th (or 5th) percentile under relative threshold conditions (Gaitán et al ., 2019; Lavaysse et al ., 2019; Smid et al ., 2019; Pi et al ., 2020), or less than 5°C (or 4°C) under absolute threshold conditions, marks an extreme cold event (Liu et al ., 2015; Dong et al ., 2017). Under SPEI<−0.8 conditions, the annual mean duration of a meteorological drought is 2.97 months in the whole basin occupying 59% of the total area where the duration is less than 3 months (Figure 3b).…”

Section: Resultsmentioning

confidence: 99%

Substantial decrease in concurrent meteorological droughts and consecutive cold events in Huai River Basin, China

Zhang

Yang

Chen

2021

Intl Journal of Climatology

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Concurrent meteorological droughts and consecutive cold events can significantly impact local ecosystems, socio‐economies, and human health. The respective characteristics of droughts and cold extremes have been extensively studied, however, their concurrent extremes have received very little attention. In this study, we used the Huai River Basin as a case to build a magnitude index of concurrent meteorological droughts and consecutive cold events (CDCMI) based on daily minimum temperature data and a 1‐month standardized precipitation evapotranspiration index (SPEI) from 1961 to 2018. Results show that the magnitude of meteorological droughts increased over the observation period, while consecutive cold events significantly decreased. CDCMI showed a significant downward trend at a rate of −0.14 per decade. Large differences were observed between 1990–2018 and 1961–1989—especially in the southern parts of the basin (around −50%). The frequency of mild and moderate concurrent meteorological droughts and consecutive cold events showed no significant upward or downward trends, but severe and extreme concurrent events showed pronounced decreasing trends at rates of −0.03 events/decade and − 0.036 events/decade, respectively. Under the same return period, high CDCMI values are present in the southeastern part of the basin, indicating that the concurrent events in this region are more serious. When CDCMI = 1.79 (extreme grade), the return period in the southeastern part of the basin (5–10 years) is much lower than that in the northwestern part of the basin (>100 years), indicating that this part is harmed to a greater extent by the concurrent extremes than elsewhere in the basin. The spatial pattern of maximum CDCMI again indicates that the southeastern part of the basin is at a high risk for concurrent events. The proposed magnitude index may be a useful tool for analysing concurrent (compound) droughts and cold events as well as their potential impacts.

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Section: Resultsmentioning

confidence: 99%

Substantial decrease in concurrent meteorological droughts and consecutive cold events in Huai River Basin, China

Zhang

Yang

Chen

2021

Intl Journal of Climatology

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“…Arid regions in northwest China are sensitive to global warming, and extreme climates occur frequently ( Han et al, 2020 ; Pi et al, 2020 ; Xie et al, 2020 ). The extreme warm index in the study area increased significantly, while the extreme cold index decreased in the past 50 years ( Figure 4 ).…”

Section: Discussionmentioning

confidence: 99%

“…Arid and semi-arid areas in northwest China are among the most sensitive areas to climate change, due to vast desert basins, high mountains and being far from the sea ( Shi et al, 2007 ). Extreme weather events occur frequently throughout the arid region of northwest China, such as extreme heat, drought and snowstorms ( Li et al, 2019 ; Han et al, 2020 ; Pi et al, 2020 ; Xie et al, 2020 ). Extreme temperatures are clearly associated with atmospheric circulation, and extreme precipitation shows spatial differences ( Wang B. L. et al, 2013 ; Deng et al, 2014 ; Han et al, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Do Extreme Climate Events Cause the Degradation of Malus sieversii Forests in China?

et al. 2021

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Frequent extreme climate events have attracted considerable attention around the world. Malus sieversii in Xinjiang is the ancestor of cultivated apple, and it is mainly distributed in the Ili river valley at end of the Tianshan Mountains. Wild fruit forests have been degraded, but the cause remains unclear. In order to identify whether extreme climate events caused this degradation reanalysis data and atmospheric circulation indices were used to determine the trends and the reasons for extreme climate changes. Subsequently, we further investigated the effect of extreme climate events on wild fruit forest using characteristics of extreme climate indices and tree-ring chronology. We found increasing trends in both extreme precipitation and warm indices, and decreasing trends in cool indices. Extreme climate events were mainly associated with the Atlantic Multidecadal Oscillation (AMO). Analysis of data of wind and geopotential height field at 500 hPa showed that strengthening wind, increasing geopotential height, cyclone and anti-cyclone circulation drivers contributed to extreme climate events. In the non-degraded region, there were significant positive correlations between tree-ring chronology and both extreme precipitation and extreme warm indices (except for warm spell duration indicator). The other extreme indices (except for heavy rain days) had a large correlation range with tree-rings in a 4–8-year period. These results indicated that extreme precipitation and extreme warm indices intensified M. sieversii growth of the non-degraded region on multi-time scales. In contrast, the degraded region showed insignificant negative relationship between tree-ring chronology and both extreme precipitation and extreme warm indices [except for warm spell duration index (WSDI)], and significant negative correlations in a 4–8-year period were detected between tree-ring chronology and most of the extreme precipitation indices, including heavy rain days, very wet days, cold spell duration indicator, simple precipitation intensity index (SDII), and annual total precipitation. Under the long disturbance of inappropriate anthropic activities, extreme climate has caused the outbreak of pests and diseases resulting in the degeneration of wild fruit forest. Our study provides scientific guidance for the ecosystem conservation in wild fruit forest in China, and also across the region.

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“…It is known that extremely hot summers have been increasingly reported in China, and far-reaching socialeconomic impacts have been caused by such events (Sun et al, 2014). There have been studies on extreme temperature across China using observational data (Ding et al, 2010;Ye et al, 2013;Yin et al, 2014;Pi et al, 2020), and simulated data under both historical and future scenarios (Yang et al, 2014;Dong et al, 2015;Yang et al, 2015;Huang et al, 2016;Wang et al, 2016;Li et al, 2019). In future projections, East Asia manifests severer warming than the global mean under the 1.5°C/2°C warming level (Hu et al, 2017;Lin et al, 2018;Zhao and Zhou, 2019).…”

Section: Introductionmentioning

confidence: 99%

Large Future Increase in Exposure Risks of Extreme Heat Within Southern China Under Warming Scenario

Cao

Rong

et al. 2021

Front. Earth Sci.

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With the continued global warming, quantifying the risks of human and social-economic exposure to extremely high temperatures is very essential. The simulated extreme high-temperature days (EHTDs) with a maximum temperature higher than 35°C (38°C, 40°C) in Southern China during 1980–1999 and 2080–2099 are analyzed using the NEX-GDDP dataset. By comparing the climatology of the two scenario periods, the multi-model ensemble mean patterns show that EHTDs will greatly increase at the end of the 21st century, and its center at 35°C is projected to shift to Guangxi from Jiangxi. Model diversities are fairly small, and the spread increases with T-level rises. EOF analysis shows that the 100-years warming will impact the southern part greater than the northern part. Trend patterns exhibit comparable results to models, but with a relatively large spread. The population and economy exposure to extremely high temperatures are calculated, showing that they both will experience a large increase in future projected decades. In historical decades, the growth of population and Gross Domestic Product have dominated the increasing exposure risks, but these effects weaken with the T-level increases. In future decades, climate change plays a leading role in affecting the exposure, and its effect strengthens with the T-level increases. For historical to future changes, the dominant contributor to population exposure changes is the climate factor (74%), while substantially 90% contribution to economy exposure changes is dominated by the combined effects of climate and economy growth.

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Extreme Temperature Events during 1960–2017 in the Arid Region of Northwest China: Spatiotemporal Dynamics and Associated Large-Scale Atmospheric Circulation

Cited by 15 publications

References 69 publications

Substantial decrease in concurrent meteorological droughts and consecutive cold events in Huai River Basin, China

Substantial decrease in concurrent meteorological droughts and consecutive cold events in Huai River Basin, China

Do Extreme Climate Events Cause the Degradation of Malus sieversii Forests in China?

Large Future Increase in Exposure Risks of Extreme Heat Within Southern China Under Warming Scenario

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