Characteristics of extreme temperature and precipitation in China in 2017 based on ETCCDI indices

doi:10.12006/j.issn.1673-1719.2018.164

Abstract

Abstract:

Based on the homogenized daily data in 2419 stations in China from 1961 to 2017, we calculated 26 extreme temperature and precipitation indices as defined by the Expert Team on Climate Change Detection and Indices (ETCCDI), and analyzed the characteristics of extreme temperature and precipitation in China in 2017. For China average, all the high temperature indices in 2017 were above the 30-year average of 1961—1990 and the extreme low temperature indices were lower than their corresponding 1961—1990 average. The annual minima of daily maximum temperature (TXn) and daily minimum temperature (TNn) reached the highest recorded value, while the number of cold nights (TN10p), cold days (TX10p), and cold spell duration index (CSDI) reached the lowest recorded value. Some indices were ranked at the second or third place since 1961, including annual maxima of daily maximum temperature (TXx) and daily minimum temperature (TNx), warm nights (TN90p), frost days (FD), icing days (ID), tropical nights (TR), and growing season length (GSL). Other extreme temperature indices were ranked in the top 10 since 1961. Meanwhile, 7 out of 10 extreme precipitation indices averaged over China in 2017 were within the range of one standard deviation of precipitation indices during 1961-2017, indicating a normal situation for extreme precipitation in 2017.

Key words: Climate warming, Extreme temperature, Extreme precipitation, the year 2017

Hong YIN,Ying SUN. Characteristics of extreme temperature and precipitation in China in 2017 based on ETCCDI indices[J]. Climate Change Research, 2019, 15(4): 363-373.

Figures/Tables 7

Table 1 Definition of extreme temperature and precipitation indices

Fig. 1 Change in anomaly series of TXx, TNx, TXn, and TNn averaged over China during 1961-2017, and their spatial distribution in 2017 relative to the 1961-1990 mean, the same below

Fig. 2 Change in anomaly series of the extreme temperature frequency indices (TX10p, TN10p, TX90p, and TN90p) averaged over China during 1961-2017, and their spatial distribution in 2017

Fig. 3 Change in anomaly series of extreme temperature absolute indices (FD, ID, SU, TR), spell duration (WSDI and CSDI), DTR and GSL averaged over China during 1961-2017, and spatial distribution of DTR and GSL anomalies in 2017

Fig. 4 Change in anomaly series of Rx1day, Rx5day, R95p and R99p averaged over China during 1961-2017,and their spatial distribution in 2017

Fig. 5 Change in anomaly series of R10mm, R20mm, CWD, and CDD averaged over China during 1961-2017, and spatial distribution of CWD and CDD anomalies in 2017

Fig. 6 Change in anomaly series of PRCPTOT and SDII averaged over China during 1961-2017, and their spatial distribution in 2017

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