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Future changes in extremes across China based on NEX-GDDP-CMIP6 models.

Authors :
Baogang, Yang
Linxiao, Wei
Hongyu, Tang
Yonghua, Li
Yong, Wang
Fen, Zhang
Jie, Zhou
Tianyu, Zhang
Tananbang, Lv
Source :
Climate Dynamics. Oct2024, Vol. 62 Issue 10, p9587-9617. 31p.
Publication Year :
2024

Abstract

This paper evaluates the NASA Earth Exchange Global Daily Downscaled Projections' (NEX-GDDP) CMIP6 models' performance in simulating extreme climate indices across China and its eight subregions for the period 2081–2100 under SSP1-2.6, SSP2-4.5 and SSP5-8.5 scenarios. The models effectively reproduce the spatial patterns of extreme high temperatures, especially in northern China. They show enhanced capabilities in accurately simulating the maximum daily maximum temperature (TXx) and the number of high temperature days (T35). They improve the cold bias of the TXx index in Northwest China and warm bias in South China. In terms of precipitation, the models demonstrate strong performance, evidenced by significant spatial correlations in total wet day precipitation (PTOT) simulations. They reduce the biases of PTOT and simple daily intensity (SDII) compared to CMIP6 models. Regionally, they enhance PTOT accuracy along southern coasts and in Yunnan, better captures very heavy precipitation days (R20) in the Southwest region, max 5-day precipitation (RX5D) in North China and Southwest region, and SDII in the Northeast region and Yunnan. Under SSP5-8.5 scenario, significant impacts include increased TXx in Northwest China, more heatwave days in Southwest China, and more T35 in South China. Extreme precipitation will become more frequent in South and East China, with the greatest intensity increases in Southwest China (SWC1). North China will see fewest consecutive dry days (CDD) indices, while consecutive wet days (CWD) will prominently rise in SWC1. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09307575
Volume :
62
Issue :
10
Database :
Academic Search Index
Journal :
Climate Dynamics
Publication Type :
Academic Journal
Accession number :
180131636
Full Text :
https://doi.org/10.1007/s00382-024-07408-7