The frequency of extreme high temperature, extreme low temperature and extreme precipitation are to a large extent the response to the global mean temperature.Using the Homogeneous temperature data at 549 stations and precipitation data at 559 stations over China, the changes of summer extremes temperature and precipitation days over China with respect to the mean temperature increase are quantitative analyzed.Results show that: The national average changes of extreme high temperature, extreme low temperature and extreme precipitation days are 5.69, -5.3 and 0.69 days for every Celsius degree increase of the global mean temperature; From regional aspect, for every Celsius degree increase of the global mean temperature, the extreme high temperature days increased 8~10 days in southeastern China and Sichuan province, the extreme low temperature days decreased 10 days in northeastern China, and the number of days of extreme precipitation in the northwest of China has the greatest increase that reaches 4~6 days.Based on above results, using projected global mean temperature from five global coupled climate models, the amount of variation of these climate extremes is largest under RCP8.5 (Representative Concentration Pathways 8.5) scenarios.Under RCP8.5 scenarios, the national average of the number of days of extreme high temperature, extreme low temperature and extreme precipitation in China will increase 23 days, decrease 22 days and increase 3 days respectively in the next 100 years.As to region, the number of days of extreme high temperature will increase 42 days in the south of China, the number of days of extreme low temperature will decrease 33 days in the north of China and the number of days of extreme precipitation will increase 16 days in the northwest of China under RCP8.5 scenarios in the next 100 years.The above results suggest that a series of measures tackling climate change are imperative.
Juan LI
,
Huiping YAN
,
Zhiwei ZHU
. Quantitative Analysis of Changes of Summer Extremes Temperature and Precipitation Days over China with Respect to the Mean Temperature Increase[J]. Plateau Meteorology, 2020
, 39(3)
: 532
-542
.
DOI: 10.7522/j.issn.1000-0534.2019.00042.
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