Causes of the Extreme Hot Midsummer in Central and South China during 2017: Role of the Western Tropical PacificWarming View Full Text


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Article Info

DATE

2019-05

AUTHORS

Ruidan Chen, Zhiping Wen, Riyu Lu, Chunzai Wang

ABSTRACT

This study investigates why an extreme hot midsummer occurred in Central and South China (CSC) during 2017. It is shown that the western North Pacific subtropical high (WNPSH) was abnormally intensified and westward-extending, resulting in anomalous high pressure and consequent extreme heat over CSC. The abnormal WNPSH was favored by the warming of the western tropical Pacific (WTP), which was unrelated to ENSO and manifested its own individual effect. The WTP warming enhanced the convection in-situ and led to anomalous high pressure over CSC via a local meridional circulation. The influence of the WTP was confirmed by CAM4 model experiments. A comparison between the 2017 midsummer and 2010 midsummer (with a stronger WNPSH but weaker extreme heat) indicated that the influence of the WNPSH on extreme heat can be modulated by the associated precipitation in the northwestern flank. The role of the WTP was verified by regression analyses on the interannual variation of the WTP sea surface temperature anomaly (SSTA). On the other hand, the WTP has undergone prominent warming during the past few decades, resulting from decadal to long-term changes and favoring extreme warm conditions. Through a mechanism similar to the interannual variation, the decadal to long-term changes have reinforced the influence of WTP warming on the temperature over CSC, contributing to the more frequent hot midsummers recently. It is estimated that more than 50% of the temperature anomaly over CSC in the 2017 midsummer was due to the WTP warming, and 40% was related to the decadal to long-term changes of the WTP SSTA. More... »

PAGES

465-478

References to SciGraph publications

  • 2014-12. Rapid increase in the risk of extreme summer heat in Eastern China in NATURE CLIMATE CHANGE
  • 2019-03. Amplifying effect of ENSO on heat waves in China in CLIMATE DYNAMICS
  • 2015-12. Enhanced or Weakened Western North Pacific Subtropical High under Global Warming? in SCIENTIFIC REPORTS
  • 2018-12. How are heat waves over Yangtze River valley associated with atmospheric quasi-biweekly oscillation? in CLIMATE DYNAMICS
  • 2018-09. Interdecadal change on the relationship between the mid-summer temperature in South China and atmospheric circulation and sea surface temperature in CLIMATE DYNAMICS
  • 2011-03. Changes in seasonal cycle and extremes in China during the period 1960–2008 in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2014-07. A decadal shift of summer surface air temperature over Northeast Asia around the mid-1990s in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2017-12. Consecutive record-breaking high temperatures marked the handover from hiatus to accelerated warming in SCIENTIFIC REPORTS
  • 2016-07. On trend estimation and significance testing for non-Gaussian and serially dependent data: quantifying the urbanization effect on trends in hot extremes in the megacity of Shanghai in CLIMATE DYNAMICS
  • 2018-08. Impacts of Anthropogenic Forcings and El Niño on Chinese Extreme Temperatures in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2009-09. Observed freshening and warming of the western Pacific Warm Pool in CLIMATE DYNAMICS
  • 2018-12. Relative contributions of external SST forcing and internal atmospheric variability to July–August heat waves over the Yangtze River valley in CLIMATE DYNAMICS
  • 2017-12. Decadal Western Pacific Warm Pool Variability: A Centroid and Heat Content Study in SCIENTIFIC REPORTS
  • 2015-05. Statistical modeling and CMIP5 simulations of hot spell changes in China in CLIMATE DYNAMICS
  • 2013-02. Impact of the western North Pacific subtropical high on the East Asian monsoon precipitation and the Indian Ocean precipitation in the boreal summertime in ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES
  • 2003-11. Longitudinal displacement of the subtropical high in the western Pacific in summer and its influence in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2016-05. Synoptic-scale characteristics and atmospheric controls of summer heat waves in China in CLIMATE DYNAMICS
  • 2016-02. Relative importance of tropical SST anomalies in maintaining the Western North Pacific anomalous anticyclone during El Niño to La Niña transition years in CLIMATE DYNAMICS
  • Identifiers

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    http://scigraph.springernature.com/pub.10.1007/s00376-018-8177-4

    DOI

    http://dx.doi.org/10.1007/s00376-018-8177-4

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