Drivers of the severity of the extreme hot summer of 2015 in western China
Western China experienced an extreme hot summer in 2015, breaking a number of temperature records. The summer mean surface air temperature (SAT) anomaly was twice the interannual variability. The hottest daytime temperature (TXx) and warmest night-time temperature (TNx) were the highest in China sin...
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ftunivreading:oai:centaur.reading.ac.uk:79536 2024-06-23T07:56:43+00:00 Drivers of the severity of the extreme hot summer of 2015 in western China Chen, Wei Dong, Buwen 2018-12 text https://centaur.reading.ac.uk/79536/ https://centaur.reading.ac.uk/79536/1/Chen_and_Dong_JMR_2018.pdf en eng Springer https://centaur.reading.ac.uk/79536/1/Chen_and_Dong_JMR_2018.pdf Chen, W. and Dong, B. <https://centaur.reading.ac.uk/view/creators/90000933.html> orcid:0000-0003-0809-7911 (2018) Drivers of the severity of the extreme hot summer of 2015 in western China. Journal of Meteorological Research, 32 (6). pp. 1002-1010. ISSN 2198-0934 doi: https://doi.org/10.1007/s13351-018-8004-y <https://doi.org/10.1007/s13351-018-8004-y> Article PeerReviewed 2018 ftunivreading https://doi.org/10.1007/s13351-018-8004-y 2024-06-11T15:08:23Z Western China experienced an extreme hot summer in 2015, breaking a number of temperature records. The summer mean surface air temperature (SAT) anomaly was twice the interannual variability. The hottest daytime temperature (TXx) and warmest night-time temperature (TNx) were the highest in China since 1964. This extreme hot summer occurred in the context of steadily increasing temperatures in recent decades. We carried out a set of experiments to evaluate the extent to which the changes in sea surface temperature (SST)/sea ice extent (SIE) and anthropogenic forcing drove the severity of the extreme summer of 2015 in western China. Our results indicate that about 65–72% of the observed changes in the seasonal mean SAT and the daily maximum (Tmax) and daily minimum (Tmin) temperatures over western China resulted from changes in boundary forcings, including the SST/SIE and anthropogenic forcing. For the relative role of individual forcing, the direct impact of changes in anthropogenic forcing explain about 42% of the SAT warming and 60% (40%) of the increase in TNx and Tmin (TXx and Tmax) in the model response. The changes in SST/SIE contributed to the remaining surface warming and the increase in hot extremes, which are mainly the result of changes in the SST over the Pacific Ocean, where a super El Niño event occurred. Our study indicates a prominent role for the direct impact of anthropogenic forcing in the severity of the extreme hot summer in western China in 2015, although the changes in SST/SIE, as well as the internal variability of the atmosphere, also made a contribution. Article in Journal/Newspaper Sea ice CentAUR: Central Archive at the University of Reading Pacific Journal of Meteorological Research 32 6 1002 1010 |
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CentAUR: Central Archive at the University of Reading |
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ftunivreading |
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English |
description |
Western China experienced an extreme hot summer in 2015, breaking a number of temperature records. The summer mean surface air temperature (SAT) anomaly was twice the interannual variability. The hottest daytime temperature (TXx) and warmest night-time temperature (TNx) were the highest in China since 1964. This extreme hot summer occurred in the context of steadily increasing temperatures in recent decades. We carried out a set of experiments to evaluate the extent to which the changes in sea surface temperature (SST)/sea ice extent (SIE) and anthropogenic forcing drove the severity of the extreme summer of 2015 in western China. Our results indicate that about 65–72% of the observed changes in the seasonal mean SAT and the daily maximum (Tmax) and daily minimum (Tmin) temperatures over western China resulted from changes in boundary forcings, including the SST/SIE and anthropogenic forcing. For the relative role of individual forcing, the direct impact of changes in anthropogenic forcing explain about 42% of the SAT warming and 60% (40%) of the increase in TNx and Tmin (TXx and Tmax) in the model response. The changes in SST/SIE contributed to the remaining surface warming and the increase in hot extremes, which are mainly the result of changes in the SST over the Pacific Ocean, where a super El Niño event occurred. Our study indicates a prominent role for the direct impact of anthropogenic forcing in the severity of the extreme hot summer in western China in 2015, although the changes in SST/SIE, as well as the internal variability of the atmosphere, also made a contribution. |
format |
Article in Journal/Newspaper |
author |
Chen, Wei Dong, Buwen |
spellingShingle |
Chen, Wei Dong, Buwen Drivers of the severity of the extreme hot summer of 2015 in western China |
author_facet |
Chen, Wei Dong, Buwen |
author_sort |
Chen, Wei |
title |
Drivers of the severity of the extreme hot summer of 2015 in western China |
title_short |
Drivers of the severity of the extreme hot summer of 2015 in western China |
title_full |
Drivers of the severity of the extreme hot summer of 2015 in western China |
title_fullStr |
Drivers of the severity of the extreme hot summer of 2015 in western China |
title_full_unstemmed |
Drivers of the severity of the extreme hot summer of 2015 in western China |
title_sort |
drivers of the severity of the extreme hot summer of 2015 in western china |
publisher |
Springer |
publishDate |
2018 |
url |
https://centaur.reading.ac.uk/79536/ https://centaur.reading.ac.uk/79536/1/Chen_and_Dong_JMR_2018.pdf |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://centaur.reading.ac.uk/79536/1/Chen_and_Dong_JMR_2018.pdf Chen, W. and Dong, B. <https://centaur.reading.ac.uk/view/creators/90000933.html> orcid:0000-0003-0809-7911 (2018) Drivers of the severity of the extreme hot summer of 2015 in western China. Journal of Meteorological Research, 32 (6). pp. 1002-1010. ISSN 2198-0934 doi: https://doi.org/10.1007/s13351-018-8004-y <https://doi.org/10.1007/s13351-018-8004-y> |
op_doi |
https://doi.org/10.1007/s13351-018-8004-y |
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Journal of Meteorological Research |
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32 |
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6 |
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1002 |
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1010 |
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1802650024088174592 |