Heat Waves in China: Definitions, Leading Patterns, and Connections to Large‐Scale Atmospheric Circulation and SSTs

Wang, Pinya; Tang, Jianping; Sun, Xiaoxia; Wang, Shuyu; Wu, Jian; Dong, Xinning; Fang, Juan

doi:10.1002/2017jd027180

Cited by 126 publications

(124 citation statements)

References 75 publications

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“…Higher average magnitudes of compound dry and hot events (higher values of DHMI) mainly occurred in northeastern and southwestern China (figure 4(a)). These results are partly consistent with previous studies for severe droughts as well as heat waves occurring in these regions (Yu et al 2014, Wang et al 2017. For the eastern part of Inner Mongolia (northeastern China), Sichuan province and Chongqing Municipality (southwestern China), the high magnitude of the compound dry and hot event is generally in agreement with the high chance of concurrent dry and hot events in previous studies Liu 2018, Wu et al 2019).…”

Section: Spatial Distribution Of the Magnitudesupporting

confidence: 92%

Dry-hot magnitude index: a joint indicator for compound event analysis

Hao

et al. 2019

Environ. Res. Lett.

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Weather and climate extremes, such as droughts and heat waves, have been commonly characterized by different properties, including frequency, duration, and magnitude. The magnitude is among the most important properties that determine the impact of extremes. Compound dry and hot events may cause detrimental impacts on water resources, energy security, crop production and food security, and have been receiving increasing attention in recent years. Although extensive studies have been conducted to investigate the magnitude of individual droughts or hot extremes, evaluation of the magnitude of compound dry and hot events has received limited attention. In this study, we develop a dry-hot magnitude index (DHMI) to characterize the magnitude of compound dry and hot events, using monthly precipitation and daily maximum temperature, which takes into account both dry and hot conditions. The DHMI is used to analyze the spatial and temporal patterns of the magnitude of compound dry and hot events in China during summer (June, July, and August) for the period of 1961-2013. Results show that high magnitudes of compound dry and hot events mainly occur in northeastern and southwestern China, with higher magnitudes mostly observed in recent decades since the 1990s. The proposed magnitude index has potential to be a useful tool for analyzing compound dry and hot events and their impacts.

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Section: Spatial Distribution Of the Magnitudesupporting

confidence: 92%

Dry-hot magnitude index: a joint indicator for compound event analysis

Hao

et al. 2019

Environ. Res. Lett.

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“…Northwestern China plays an important part in the Belt and Road initiative, with Xinjiang Province and Gansu Province forming the vital northwestern doorway. However, the region of China is experiencing increasing numbers of heatwaves (Ren et al ., ; Xu et al ., ; Wang et al ., ; Perkins, ; Chen and Zhai, ; Wang et al ., ). Recent studies have documented that the number of hot extremes over northwestern China has shown a significant positive trend in recent decades (Qin et al ., ; Jia and Hu, ).…”

Section: Introductionmentioning

confidence: 97%

Spring soil temperature as a predictor of summer heatwaves over northwestern China

Yang

Zhang

2019

Atmospheric Science Letters

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Northwestern China has been increasingly affected by summer heatwaves in recent decades. In this study, we show that summer heatwave events over northwestern China are significantly correlated with the spring soil temperature over central Asia for the period of 1979-2017, irrespective of whether the data are detrended. By analyzing the physical links, we find that warmer spring soil temperature over central Asia tends to result in positive geopotential height anomalies over northern China and Mongolia including northwestern China in summer, which may subsequently lead to more heatwave events via the effects on downward solar radiation, subsidence warming and other processes. We further establish a statistical model to predict summer heatwaves over northwestern China based on the spring soil temperature over central Asia. The results show that the leave-one-out cross-validation for the correlation skill is 0.56 for the period of 1979-2017. The spatial patterns are captured well in the hindcast experiments for the period of 2012-2017, with all pattern correlation coefficients ≥0.88. Our proposed prediction model can be applied to practical forecasting and may help to reduce the damage caused by summer heatwaves over northwestern China. K E Y W O R D Snorthwestern China, spring soil temperature, summer heatwave prediction

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Section: Introductionmentioning

confidence: 99%

“…Between two PHR events, known as the break phase, low precipitation or high temperature may occur. Therefore, HW events variation is also related to intraseasonal variability of atmospheric circulation (Chen and Lu, 2015;Xu and Lu, 2015;Chen and Zhai, 2017;Wang et al, 2017;Diao et al, 2018). Krishnan et al (2008) studied the break phase of the Indian summer monsoon, suggesting an interaction between the intraseasonal variation of the Indian summer monsoon and low-frequency Rossby waves from mid-latitude.…”

Section: Introductionmentioning

confidence: 99%

Influence of the South Asian high‐intensity variability on the persistent heavy rainfall and heat waves in Asian monsoon regions

Wang

Ren

Duan

et al. 2019

Intl Journal of Climatology

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This study investigates the modulation of the South Asian high's (SAH) intensity variation on the persistent heavy rainfall (PHR) and heat wave (HW) events over the Asian summer monsoon regions during summer 1979–2013. The first mode of an empirical orthogonal function (EOF) analysis performed on standardized subseasonal anomalies at 200‐hPa geopotential height over the SAH's main body (20°–5°N, 35°–110°E), reveals the intensity variation of the SAH with a 10–40‐day periodicity. The strengthening (weakening) of the SAH's main body is accompanied by negative (positive) outgoing longwave radiation (OLR) anomalies and more (less) anomalous rainfall over the Indian subcontinent, southern foot of Tibetan Plateau (TP) and subtropical East Asia. Using different thresholds, the proportion for modest PHR events is approximately 30% and can reach up to 40–50% for extreme PHR events during the strong phase of SAH. About 20% of modest PHR events and only 10% of extreme PHR events occur under the weak phase of SAH, suggesting that SAH has a more significant impact on the occurrence of extreme PHR events over the south and East Asian regions. In contrast, HW events associated with strong SAH account for approximately 5–10% whereas an increased occurrence of HW events is observed during the weak phase of SAH with a ratio up to 15–20%. A much more intensified updraft flow, enhanced cross‐equatorial moisture flux and western North Pacific moisture flux is accompanied with strong SAH, which provide favourable conditions for occurrence of extreme PHR events, leading to less surface solar radiation anomalies. The mirror image is seen in the weak SAH phase, contributing to the decrease of extreme PHR events and increase of HW events. The above analysis indicates that the SAH provides significant modulation and impact on extreme rainfall and temperature events over the Asian monsoon regions on subseasonal timescale.

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Heat Waves in China: Definitions, Leading Patterns, and Connections to Large‐Scale Atmospheric Circulation and SSTs

Cited by 126 publications

References 75 publications

Dry-hot magnitude index: a joint indicator for compound event analysis

Dry-hot magnitude index: a joint indicator for compound event analysis

Spring soil temperature as a predictor of summer heatwaves over northwestern China

Influence of the South Asian high‐intensity variability on the persistent heavy rainfall and heat waves in Asian monsoon regions

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