Evaluation and projection of precipitation extremes under 1.5°C and 2.0°C GWLs over China using bias-corrected CMIP6 models
Summary: China is facing an increasing challenge from severe precipitation-related extremes with accelerating global warming. In this study, using a bias-corrected CMIP6 ensemble, future responses of precipitation extreme indices at 1.5°C and 2.0°C global warming levels (GWLs) under the SSP245, SSP3...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-04-01
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| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004223002560 |
| _version_ | 1827979716510875648 |
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| author | Junhong Guo Yangshuo Shen Xiuquan Wang Xi Liang Zhenlu Liu Lvliu Liu |
| author_facet | Junhong Guo Yangshuo Shen Xiuquan Wang Xi Liang Zhenlu Liu Lvliu Liu |
| author_sort | Junhong Guo |
| collection | DOAJ |
| description | Summary: China is facing an increasing challenge from severe precipitation-related extremes with accelerating global warming. In this study, using a bias-corrected CMIP6 ensemble, future responses of precipitation extreme indices at 1.5°C and 2.0°C global warming levels (GWLs) under the SSP245, SSP370 and SSP585 scenarios are investigated. Despite different change magnitudes, extreme precipitation events will be more frequent and more intense over China as a whole under higher emissions and GWLs. The increase in annual total precipitation could attribute to a sharp increase in the intensity and days of very heavy precipitation in future global warming scenarios. Limiting global warming to 1.5°C and low emission pathways (i.e., SSP245) instead of 2°C and high emission pathways (i.e., SSP585) would have substantial benefits for China in terms of reducing occurrences of extreme precipitation events. |
| first_indexed | 2024-04-09T21:42:04Z |
| format | Article |
| id | doaj.art-4e96e21f86414c8f8b07d1fde717fb55 |
| institution | Directory Open Access Journal |
| issn | 2589-0042 |
| language | English |
| last_indexed | 2024-04-09T21:42:04Z |
| publishDate | 2023-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj.art-4e96e21f86414c8f8b07d1fde717fb552023-03-26T05:18:35ZengElsevieriScience2589-00422023-04-01264106179Evaluation and projection of precipitation extremes under 1.5°C and 2.0°C GWLs over China using bias-corrected CMIP6 modelsJunhong Guo0Yangshuo Shen1Xiuquan Wang2Xi Liang3Zhenlu Liu4Lvliu Liu5MOE Key Laboratory of Resource and Environmental, System Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, China; Corresponding authorSchool of Climate Change and Adaptation, University of Prince Edward Island, Charlottetown, Prince Edward Island C1A 4P3, CanadaSustainable Finance and Infrastructure Transition, Bartlett School of Sustainable Construction, University College London, London WC1E 6BT, UKMOE Key Laboratory of Resource and Environmental, System Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, ChinaBeijing Climate Centre, China Meteorological Administration, Beijing, ChinaSummary: China is facing an increasing challenge from severe precipitation-related extremes with accelerating global warming. In this study, using a bias-corrected CMIP6 ensemble, future responses of precipitation extreme indices at 1.5°C and 2.0°C global warming levels (GWLs) under the SSP245, SSP370 and SSP585 scenarios are investigated. Despite different change magnitudes, extreme precipitation events will be more frequent and more intense over China as a whole under higher emissions and GWLs. The increase in annual total precipitation could attribute to a sharp increase in the intensity and days of very heavy precipitation in future global warming scenarios. Limiting global warming to 1.5°C and low emission pathways (i.e., SSP245) instead of 2°C and high emission pathways (i.e., SSP585) would have substantial benefits for China in terms of reducing occurrences of extreme precipitation events.http://www.sciencedirect.com/science/article/pii/S2589004223002560Atmospheric scienceGlobal changeMeteorology |
| spellingShingle | Junhong Guo Yangshuo Shen Xiuquan Wang Xi Liang Zhenlu Liu Lvliu Liu Evaluation and projection of precipitation extremes under 1.5°C and 2.0°C GWLs over China using bias-corrected CMIP6 models iScience Atmospheric science Global change Meteorology |
| title | Evaluation and projection of precipitation extremes under 1.5°C and 2.0°C GWLs over China using bias-corrected CMIP6 models |
| title_full | Evaluation and projection of precipitation extremes under 1.5°C and 2.0°C GWLs over China using bias-corrected CMIP6 models |
| title_fullStr | Evaluation and projection of precipitation extremes under 1.5°C and 2.0°C GWLs over China using bias-corrected CMIP6 models |
| title_full_unstemmed | Evaluation and projection of precipitation extremes under 1.5°C and 2.0°C GWLs over China using bias-corrected CMIP6 models |
| title_short | Evaluation and projection of precipitation extremes under 1.5°C and 2.0°C GWLs over China using bias-corrected CMIP6 models |
| title_sort | evaluation and projection of precipitation extremes under 1 5°c and 2 0°c gwls over china using bias corrected cmip6 models |
| topic | Atmospheric science Global change Meteorology |
| url | http://www.sciencedirect.com/science/article/pii/S2589004223002560 |
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