Influence of Large‐Scale Circulation Patterns on Compound Dry and Hot Events in China

Wu, Xuefeng; Hao, Zengchao; Hao, Fang; Zhang, Xuan; Singh, Vijay P.; Sun, Cheng

doi:10.1029/2020jd033918

Cited by 35 publications

(19 citation statements)

References 92 publications

(204 reference statements)

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“…Similarly, variations in the mean magnitude of CDHEs in community 6, located in the southern regions of SWC, are significantly correlated with the compounding effect of AMO and PDO, and AMO also dominates in positively modulating variations in the mean magnitude of community 6. Previous studies [23] have shown that the warm AMO phase tends to increase the frequency of CDHEs in northern China and the southern regions of SWC, and AMO is significantly and positively correlated with temperature in most of these regions. When AMO is in the warm phase, the warming of the northern China and the southern regions of SWC may lead to a high magnitude of CDHEs; this also explains the positive modulation of AMO in the frequency and magnitude of CDHEs in communities located in the northern China and the southern regions of SWC.…”

Section: The Propagation Extent and Driving Factors Of Cdhesmentioning

confidence: 78%

“…AMO and PDO have been proven to influence the formation of CDHEs in China [23,28]. In this study, we correlate a temporal series of the mean frequency and mean magnitude within different communities with a temporal series of AMO and PDO indexes during JJA, aiming to explore the driving factors of CDHEs in different regions of China.…”

Section: The Propagation Extent and Driving Factors Of Cdhesmentioning

confidence: 99%

“…The variations in the mean frequency and mean magnitude of CDHEs within community 5 do not significantly respond to AMO or PDO patterns. A reason for this may be that temperature and precipitation within community 5 are not sensitive to changes in AMO and PDO patterns [23].…”

Section: The Propagation Extent and Driving Factors Of Cdhesmentioning

confidence: 99%

“…The composite analysis, correlation analysis, and logistic regression model have all been used to investigate the influence of various atmospheric circulation patterns on CDHEs in China. These methods found that the Atlantic Multidecadal Oscillation (AMO) affects CDHEs for about 18.52% of mainland China, while NAO and PDO, respectively, account for around 14.64% and 12.96%, and ENSO affects CDHEs by about 5.27% [23]. In general, previous studies analyzed the spatial and temporal variations in properties of CDHEs using various definitions or metrics, revealing that atmospheric circulation patterns have a profound impact on CDHEs.…”

Section: Introductionmentioning

confidence: 99%

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The Study on Compound Drought and Heatwave Events in China Using Complex Networks

Wang

Liu

2021

Sustainability

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Compound extreme events can severely impact water security, food security, and social and economic development. Compared with single-hazard events, compound extreme events cause greater losses. Therefore, understanding the spatial and temporal variations in compound extreme events is important to prevent the risks they cause. Only a few studies have analyzed the spatial and temporal relations of compound extreme events from the perspective of a complex network. In this study, we define compound drought and heatwave events (CDHEs) using the monthly scale standard precipitation index (SPI), and the definition of a heatwave is based on daily maximum temperature. We evaluate the spatial and temporal variations in CDHEs in China from 1961 to 2018 and discuss the impact of maximum temperature and precipitation changes on the annual frequency and annual magnitude trends of CDHEs. Furthermore, a synchronization strength network is established using the event synchronization method, and the proposed synchronization strength index (SSI) is used to divide the network into eight communities to identify the propagation extent of CDHEs, where each community represents a region with high synchronization strength. Finally, we explore the impact of summer Atlantic multidecadal oscillation (AMO) and Pacific decadal oscillation (PDO) on CDHEs in different communities. The results show that, at a national scale, the mean frequency of CDHEs takes on a non-significant decreasing trend, and the mean magnitude of CDHEs takes on a non-significant increasing trend. The significant trends in the annual frequency and annual magnitude of CDHEs are attributed to maximum temperature and precipitation changes. AMO positively modulates the mean frequency and mean magnitude of CDHEs within community 1 and 2, and negatively modulates the mean magnitude of CDHEs within community 3. PDO negatively modulates the mean frequency and mean magnitude of CDHEs within community 4. AMO and PDO jointly modulate the mean magnitude of CDHEs within community 6 and 8. Overall, this study provides a new understanding of CDHEs to mitigate their severe effects.

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Section: The Propagation Extent and Driving Factors Of Cdhesmentioning

confidence: 78%

Section: The Propagation Extent and Driving Factors Of Cdhesmentioning

confidence: 99%

Section: The Propagation Extent and Driving Factors Of Cdhesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Study on Compound Drought and Heatwave Events in China Using Complex Networks

Wang

Liu

2021

Sustainability

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“…Abnormal patterns of atmospheric circulation could also result in changes in extreme climate events (Berton et al., 2017; Shimizu et al., 2017; Wang et al., 2017). For example, the occurrences of compound dry and hot events in summer over mainland China were associated with the large‐scale circulation patterns, including the Atlantic Multidecadal Oscillation, North Atlantic Oscillation, Pacific Decadal Oscillation, and El Niño–Southern Oscillation (Wu et al., 2021). The frequency of hot drought events in summer over northeast China showed a significant correlation with the Atlantic Multidecadal Oscillation (Li, He et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

Was Warming Amplified Under Drought Conditions Across China in Observations and Future Projections?

Wang

et al. 2022

Earth's Future

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Concurrent hot extremes and droughts undoubtedly aggravate the impacts of droughts on agriculture, natural environment, and human society. Recent studies mainly focus on the trends and changes in frequency and severity of compound drought and hot extreme events. However, relatively little attention has been paid to the changes in mean temperature during drought conditions. In this study, we investigated the mean temperature changes during droughts in observed and projected periods across China on a century time‐scale and explored the possible contributions of land surface‐atmosphere interactions or atmospheric moisture conditions to these changes. China experienced reduced rather than amplified warming under droughts both in observations and future projections. A drier condition or a higher emission scenario was projected to result in a larger range of mean temperature changes under droughts in the future. We attributed the reduced mean temperatures under droughts to increasing winter droughts and higher atmospheric moisture conditions. This study provides a reference for water resource management, drought risk reduction, as well as mitigation of agricultural crop loss and public health damage.

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Multi‐index characterization of compound dry hot events in India

Prabhakar,

Mitra,

Varghese

2023

Intl Journal of Climatology

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Compound dry hot events (CDHEs), where hot events and droughts coexist, have received a lot of attention lately due to their catastrophic effects on the economy, environment and human health. In this study, we use two CDHE indices, the Standardized Compound Event Indicator (SCEI) and the Standardized Dry and Hot Index (SDHI), to assess changes in CDHE characteristics (severity, frequency, spatial extent) over the historical past and future CMIP6 simulations across the Indian subcontinent. To understand the role of the drought index selected on CDHE characterization two drought indices namely the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) are employed in the calculation of the CDHE indices. Further, the role of climatic oscillations such as El Nino Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), Equatorial Indian Ocean Monsoon Oscillation and Indian Ocean Dipole in modulating CDHE characteristics have also been explored. Results show that SPI and SPEI based CDHE indices exhibit contrasting trends in northern India, while similar trends are observed in southern India in the historical past. Also, more frequent, extended, and severe CDHEs are reported by CDHE indices calculated using SPEI than by SPI. Temperature is found to be the dominant factor contributing to increases in CDHEs in the recent past and ENSO phases significantly modulate the severity and frequency of CDHE events in India. CMIP6 simulations generally report an increase in CDHE events for a 3°C global warming scenario. Overall, our findings show that the choice of the drought index has a greater impact on CDHE characterization than the choice of the CDHE index itself. Results from this study provide useful information towards understanding the risk of CDHEs in India under global warming and urge for the development and implementation of adaptation and mitigation measures.

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Influence of Large‐Scale Circulation Patterns on Compound Dry and Hot Events in China

Abstract: Compound weather and climate extremes, such as compound dry and hot events (CDHEs), have been shown to be among the most disastrous hazards to the economic and social development across the globe (Y.

Cited by 35 publications

References 92 publications

The Study on Compound Drought and Heatwave Events in China Using Complex Networks

The Study on Compound Drought and Heatwave Events in China Using Complex Networks

Was Warming Amplified Under Drought Conditions Across China in Observations and Future Projections?

Multi‐index characterization of compound dry hot events in India

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