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Climate Change Research ›› 2021, Vol. 17 ›› Issue (2): 162-174.doi: 10.12006/j.issn.1673-1719.2020.029
• Changes in Climate System • Previous Articles Next Articles
TANG Zi-Chen1,2, LI Qing-Quan1,2, WANG Li-Juan1(), WU Li-Quan3
Received:
2020-02-21
Revised:
2020-08-23
Online:
2021-03-30
Published:
2021-04-02
Contact:
WANG Li-Juan
E-mail:wljfw@163.com
TANG Zi-Chen, LI Qing-Quan, WANG Li-Juan, WU Li-Quan. Preliminary assessment on CMIP6 decadal prediction ability of air temperature over China[J]. Climate Change Research, 2021, 17(2): 162-174.
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URL: http://www.climatechange.cn/EN/10.12006/j.issn.1673-1719.2020.029
Fig. 2 1961-2010 averaged temperatures of observation (a, d, g, j, m), CanESM5’s historical simulation (b, e, h, k, n) and MIROC6’s decadal hindcasts (c, f, i, l, o) at lead years 1-5 (a-c) annual, (d-f) spring, (g-i) summer, (j-l) autumn, (m-o) winter
Tab.1 Average (1961-2010) pattern correlation coefficient (PCC) of annual and seasonal mean temperatures between model results (decadal and historical experiments of CanESM5 and MIROC6 models) and observations at lead years of 1-5
Fig. 3 Anomaly correlation coefficient (ACC) of annual and seasonal mean temperature between observation and CanESM5 historical experiment (a-e) and decadal reforecast (f-j) at lead years 5-9 (Spotted area denotes passing significant test at 0.1 level) (a, f) annual, (b, g) spring, (c, h) summer, (d, i) autumn, (e, j) winter
Fig. 4 Root mean square error (RMSE) of annual and seasonal mean temperature between observation and MIROC6 historical experiment (a-e) and decadal reforecast (f-j) at lead years 5-9 (a, f) annual, (b, g) spring, (c, h) summer, (d, i) autumn, (e, j) winter
Fig. 5 ACC between annual mean temperature of observation and that of CanESM5 reforecast at lead years (a) 1-5, (b) 2-6, (c) 3-7,(d) 4-8, (e) 5-9, (f) 6-10 (Spotted area denotes passing significant test at 0.01 confident level)
Fig. 7 ACC between observation temperature and average temperature of two models’ reforecasts in various regions of China (Black chain lines represent thresholds at 0.1 significance level) (a) annual, (b) spring, (c) summer, (d) autumn, (e) winter
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