Climate Change Hotspots Identification in China through the CMIP5 Global Climate Model Ensemble

Joint Authors

Wang, Jigan
Fan, Chuanhao
Yu, Zhongbo
Gu, Huanghe
Ju, Qin
Yang, Chuanguo

Source

Advances in Meteorology

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-04-22

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Physics

Abstract EN

China is one of the countries vulnerable to adverse climate changes.

The potential climate change hotspots in China throughout the 21st century are identified in this study by using a multimodel, multiscenario climate model ensemble that includes Phase Five of the Coupled Model Intercomparison Project (CMIP5) atmosphere-ocean general circulation models.

Both high (RCP8.5) and low (RCP4.5) greenhouse gas emission trajectories are tested, and both the mean and extreme seasonal temperature and precipitation are considered in identifying regional climate change hotspots.

Tarim basin and Tibetan Plateau in West China are identified as persistent regional climate change hotspots in both the RCP4.5 and RCP8.5 scenarios.

The aggregate impacts of climate change increase throughout the 21st century and are more significant in RCP8.5 than in RCP4.5.

Extreme hot event and mean temperature are two climate variables that greatly contribute to the hotspots calculation in all regions.

The contribution of other climate variables exhibits a notable subregional variability.

South China is identified as another hotspot based on the change of extreme dry event, especially in SON and DJF, which indicates that such event will frequently occur in the future.

Our results can contribute to the designing of national and cross-national adaptation and mitigation policies.

American Psychological Association (APA)

Gu, Huanghe& Yu, Zhongbo& Wang, Jigan& Ju, Qin& Yang, Chuanguo& Fan, Chuanhao. 2014. Climate Change Hotspots Identification in China through the CMIP5 Global Climate Model Ensemble. Advances in Meteorology،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-511844

Modern Language Association (MLA)

Gu, Huanghe…[et al.]. Climate Change Hotspots Identification in China through the CMIP5 Global Climate Model Ensemble. Advances in Meteorology No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-511844

American Medical Association (AMA)

Gu, Huanghe& Yu, Zhongbo& Wang, Jigan& Ju, Qin& Yang, Chuanguo& Fan, Chuanhao. Climate Change Hotspots Identification in China through the CMIP5 Global Climate Model Ensemble. Advances in Meteorology. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-511844

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-511844