Detectable Increases in Sequential Flood‐Heatwave Events Across China During 1961–2018

Chen, Yang; Liao, Zhen; Yan, Shi; Tian, Yiyao; Zhai, Panmao

doi:10.1029/2021gl092549

Cited by 66 publications

(76 citation statements)

References 81 publications

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“…Our present study provides the first examination of the changes in compound heat-precipitation events in South China and quantifies the urbanization effects on these changes by classifying the stations into urban and non-urban ones. Chen et al (2021) has studied another type of compound event, i.e., sequential flood-heatwave events across China, and found that anthropogenic forcings contributed greatly to these compound extremes. Nevertheless, to what degree local urbanization influences the compound events has not been evaluated and needs to be further investigated.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Increasing Compound Heat and Precipitation Extremes Elevated by Urbanization in South China

Chan

Zhang

et al. 2021

Front. Earth Sci.

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Compared with individual events, compound weather and climate extremes may impose more serious influences on natural systems and human society, especially in populated areas. In this study, we examine the changes in the compound precipitation events that follow extremely hot weather within several days during 1961–2017 in South China by taking the Guangdong Province as an example. Additionally, we assess the impacts of urbanization on these changes. It is found that extreme precipitation events in Guangdong are often preceded by hot weather, with an average fraction of 28.25%. The fraction of such compound events is even larger in more populated and urbanized areas such as the Pearl River Delta (PRD) region. Moreover, our results reveal significant increases in the frequency and fraction of the compound extreme heat and precipitation events. These increases are especially stronger in more developed areas (e.g., PRD), and their increasing trends tend to accelerate in recent decades. Furthermore, the local urbanization contributes to 40.91 and 49.38% of the increases in the frequency and fraction of the compound events, respectively. Our findings provide scientific references for policy-makers and urban planners to mitigate the influences of the compound heat and precipitation extremes by considering their increasing risks under the context of global climate change and local urbanization.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Increasing Compound Heat and Precipitation Extremes Elevated by Urbanization in South China

Chan

Zhang

et al. 2021

Front. Earth Sci.

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“…Moreover, floods that follow heat waves have been identified across the central United States , and this compound is manifested by the fact that heat stress may set the stage for extreme precipitation and flooding due to increasing sensible heat flux and moisture convergence under extreme heat stress. Similarly, the floods followed by elevated heat have also been identified across China during 1961-2018, exhibiting an increasing trend (Chen et al, 2021). Western Japan experienced catastrophic floods followed by a record-breaking heatwave during early July 2018 (Wang S. S.-Y.…”

Section: Flooding/precipitation and Heat Wave/ Stressmentioning

confidence: 91%

“…FIGURE 2 | Schematic of compound hydrometeorological extremes: (A) heat-wet (Soneja et al, 2016;Wang S. S.-Y. et al, 2019;Imada et al, 2019;Chen et al, 2021), (B) heat-humid extremes (Fischer and Knutti, 2013;Li et al, 2020;Poppick and McKinnon, 2020;Yuan et al, 2020), (C) cold-wet (Bisci et al, 2012;Hao et al, 2018;Hochman et al, 2019;De Luca et al, 2020) and (D) cold-dry (Dabhi et al, 2018;Wu Y. et al, 2021;Potopová et al, 2021). The Clausius-Clapeyron scaling represents the water holding capacity of the atmosphere corresponding to air temperature changes (Held and Soden, 2006).…”

Section: Typesmentioning

confidence: 99%

“…This type of extreme is manifested by flooding and heat wave (Soneja et al, 2016;Wang S. S.-Y. et al, 2019;Imada et al, 2019;Chen et al, 2021) and heat wave and humid events (Fischer and Knutti, 2013;Li et al, 2020;Poppick and McKinnon, 2020;Yuan et al, 2020). We will elaborate on these compound extremes in the following discussion.…”

Section: Compound Heat and Wet Extremesmentioning

confidence: 99%

“…In the analysis of temporal compound extremes (e.g., floods that follow heat stress) (Zscheischler et al, 2020a), it is important to test the null hypothesis that whether this lagged association between floods and heat stress is randomly distributed . This method has been used to quantify the lagged compound droughts and pluvial floods (He and Sheffield, 2020), the association between precipitation and soil moisture extremes (Sun et al, 2018), and flood-heatwave events (Chen et al, 2021).…”

Section: Event Coincidence Analysismentioning

confidence: 99%

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Compound Hydrometeorological Extremes: Drivers, Mechanisms and Methods

et al. 2021

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Compound extremes pose immense challenges and hazards to communities, and this is particularly true for compound hydrometeorological extremes associated with deadly floods, surges, droughts, and heat waves. To mitigate and better adapt to compound hydrometeorological extremes, we need to better understand the state of knowledge of such extremes. Here we review the current advances in understanding compound hydrometeorological extremes: compound heat wave and drought (hot-dry), compound heat stress and extreme precipitation (hot-wet), cold-wet, cold-dry and compound flooding. We focus on the drivers of these extremes and methods used to investigate and quantify their associated risk. Overall, hot-dry compound extremes are tied to subtropical highs, blocking highs, atmospheric stagnation events, and planetary wave patterns, which are modulated by atmosphere-land feedbacks. Compared with hot-dry compound extremes, hot-wet events are less examined in the literature with most works focusing on case studies. The cold-wet compound events are commonly associated with snowfall and cold frontal systems. Although cold-dry events have been found to decrease, their underlying mechanisms require further investigation. Compound flooding encompasses storm surge and high rainfall, storm surge and sea level rise, storm surge and riverine flooding, and coastal and riverine flooding. Overall, there is a growing risk of compound flooding in the future due to changes in sea level rise, storm intensity, storm precipitation, and land-use-land-cover change. To understand processes and interactions underlying compound extremes, numerical models have been used to complement statistical modeling of the dependence between the components of compound extremes. While global climate models can simulate certain types of compound extremes, high-resolution regional models coupled with land and hydrological models are required to simulate the variability of compound extremes and to project changes in the risk of such extremes. In terms of statistical modeling of compound extremes, previous studies have used empirical approach, event coincidence analysis, multivariate distribution, the indicator approach, quantile regression and the Markov Chain method to understand the dependence, greatly advancing the state of science of compound extremes. Overall, the selection of methods depends on the type of compound extremes of interests and relevant variables.

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Spatiotemporal Distribution of Heatwave Hazards in Chinese Mainland for the Period 1990-2019

Liu

Li³

et al. 2022

Preprint

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Heatwaves occurred frequently in summers, severely harming natural environment and human society. While a few longterm spatiotemporal heatwave studies have been conducted in China at the grid scale, their shortcomings involve discrete distribution and poor spatiotemporal continuity. We used daily data of 691 meteorological stations to obtain torridity index (TI) and heatwave index (HWI) datasets (0.01°), to evaluate the spatiotemporal distribution of heatwaves in Chinese mainland for 1990-2019. The results were as follows: (1) TI rose but with fluctuations. The largest increase occurred in North China in July. Areas with hazard levels of medium and above accounted for 22.16%, mainly in the eastern and southern provinces of China, South Tibet, East and South Xinjiang, and Chongqing. The hazard indicators in Chongqing and central Zhejiang were at especially high levels, which is concerning. (2) Average heatwave frequency, intensity, and duration reached relatively high levels of [6][7][8][20][21][22][23][24][25][11][12][13][14][15][16] respectively, in East and South Xinjiang and Southeast Tibet. (3) The study areas were divided into four categories according to the spatiotemporal distribution of hazards. The "high hazard and rapidly increasing" and "low hazard and keep increasing" areas accounted for 8.71% and 41.33%, respectively. (4) The proportions of units with significantly increased average hazard (AH) at city and county levels were 57% and 68%, respectively. Jinhua,

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Detectable Increases in Sequential Flood‐Heatwave Events Across China During 1961–2018

Cited by 66 publications

References 81 publications

Increasing Compound Heat and Precipitation Extremes Elevated by Urbanization in South China

Increasing Compound Heat and Precipitation Extremes Elevated by Urbanization in South China

Compound Hydrometeorological Extremes: Drivers, Mechanisms and Methods

Spatiotemporal Distribution of Heatwave Hazards in Chinese Mainland for the Period 1990-2019

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