Advances in Earth Science ›› 2017, Vol. 32 ›› Issue (4): 435-445. doi: 10.11867/j. issn. 1001-8166.2017.04.0435

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Surface Air Temperature Projection Under 1.5 ℃ Warming Threshold Based on Corrected Pattern Scaling Technique

Xiaolong Chen 1( ), Tianjun Zhou 1, 2   

  1. 1.LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,China
    2.University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2016-11-07 Revised:2017-02-28 Online:2017-04-20 Published:2017-04-20
  • About author:

    First author: Chen Xiaolong (1988-), male, Pucheng County, Shaanxi Province, Post doctor. Research areas include monsoon variability and climate

  • Supported by:
    Project supported by the R&D Special Fund for Public Welfare Industry (Meteorology) “Development and research of ensemble decadal climate prediction system based on global climate models FGOALS-s, CMA and CESM” (No.GYHY201506012);The Jiangsu Collaborative Innovation Center for Climate Change

Xiaolong Chen, Tianjun Zhou. Surface Air Temperature Projection Under 1.5 ℃ Warming Threshold Based on Corrected Pattern Scaling Technique[J]. Advances in Earth Science, 2017, 32(4): 435-445.

The global mean temperature during the recent decade (2007-2016) has increased above 1 ℃ relative to the pre-industrial period (1861-1890). The climate change and impact under 1.5 ℃ warming in the future have become a great concern in global society. Temperature projections, especially in regional scale, show great uncertainty depending on used climate models. Taking advantage of pattern scaling technique and observed temperature changes during 1951-2005, we tried to project the temperature changes globally under 1.5 ℃ threshold relative to current climate state, i.e. about 1 ℃ warming around 2007-2016. The projections of 21 climate models from the Coupled Model Intercomparison Project - Phase 5 under four Representative Concentration Pathways (RCP2.6, RC4.5, RCP6.0 and RCP8.5) were used to correct the assumptions in pattern scaling. Results showed that the geographical distribution and warming amplitude of surface air temperature changes under 1.5 ℃ threshold are similar in the four scenarios. Warming over most of the land would be above 0.6 ℃, 0.3 ℃ warmer than ocean. The Northern Hemisphere would be 0.2 ℃ warmer than the Southern Hemisphere. The temperature over China region will increase by 0.7 ℃. The warming in the Northern and Central China under RCP2.6 was obviously higher than that in the other scenarios. Ignoring the impact of correction method, uncertainty in temperature projection based on pattern scaling was much smaller than that in climate models, both in global and regional scales.

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