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Projection of climate extremes in China, an incremental exercise from CMIP5 to CMIP6.
- Source :
-
Science bulletin [Sci Bull (Beijing)] 2021 Dec 30; Vol. 66 (24), pp. 2528-2537. Date of Electronic Publication: 2021 Jul 21. - Publication Year :
- 2021
-
Abstract
- This paper presents projections of climate extremes over China under global warming of 1.5, 2, and 3 °C above pre-industrial (1861-1900), based on the latest Coupled Model Intercomparison Project phase 6 (CMIP6) simulations. Results are compared with what produced by the precedent phase of the project, CMIP5. Model evaluation for the reference period (1985-2005) indicates that CMIP6 models outperform their predecessors in CMIP5, especially in simulating precipitation extremes. Areal averages for changes of most indices are found larger in CMIP6 than in CMIP5. The emblematic annual mean temperature, when averaged over the whole of China in CMIP6, increases by 1.49, 2.21, and 3.53 °C (relative to 1985-2005) for 1.5, 2, and 3 °C above-preindustrial global warming levels, while the counterpart in CMIP5 is 1.20, 1.93 and 3.39 °C respectively. Similarly, total precipitation increases by 5.3%, 8.6%, and 16.3% in CMIP6 and by 4.4%, 7.0% and 12.8% in CMIP5, respectively. The spatial distribution of changes for extreme indices is generally consistent in both CMIP5 and CMIP6, but with significantly higher increases in CMIP6 over Northeast and Northwest China for the hottest day temperature, and South China for the coldest night temperature. In the south bank of the Yangtze River, and most regions around 40°N, CMIP6 shows higher increases for both total precipitation and heavy precipitation. The projected difference between CMIP6 and CMIP5 is mainly attributable to the physical upgrading of climate models and largely independent from their emission scenarios.<br /> (Copyright © 2021 Science China Press. Published by Elsevier B.V. All rights reserved.)
- Subjects :
- Climate
Global Warming
China
Climate Change
Models, Theoretical
Subjects
Details
- Language :
- English
- ISSN :
- 2095-9281
- Volume :
- 66
- Issue :
- 24
- Database :
- MEDLINE
- Journal :
- Science bulletin
- Publication Type :
- Academic Journal
- Accession number :
- 36654212
- Full Text :
- https://doi.org/10.1016/j.scib.2021.07.026