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The Beijing Climate Center Climate System Model (BCC-CSM): The main progress from CMIP5 to CMIP6

  • Tongwen Wu*
  • , Yixiong Lu
  • , Yongjie Fang
  • , Xiaoge Xin
  • , Laurent Li
  • , Weiping Li
  • , Weihua Jie
  • , Jie Zhang
  • , Yiming Liu
  • , Li Zhang
  • , Fang Zhang
  • , Yanwu Zhang
  • , Fanghua Wu
  • , Jianglong Li
  • , Min Chu
  • , Zaizhi Wang
  • , Xueli Shi
  • , Xiangwen Liu
  • , Min Wei
  • , Anning Huang
  • Yaocun Zhang, Xiaohong Liu
*Corresponding author for this work
  • China Meteorological Administration
  • Sorbonne Université
  • National Meteorological Center
  • Nanjing University
  • University of Wyoming

Research output: Contribution to journalArticlepeer-review

Abstract

The main advancements of the Beijing Climate Center (BCC) climate system model from phase 5 of the Coupled Model Intercomparison Project (CMIP5) to phase 6 (CMIP6) are presented, in terms of physical parameterizations and model performance. BCC-CSM1.1 and BCC-CSM1.1m are the two models involved in CMIP5, whereas BCC-CSM2-MR, BCC-CSM2-HR, and BCC-ESM1.0 are the three models configured for CMIP6. Historical simulations from 1851 to 2014 from BCC-CSM2-MR (CMIP6) and from 1851 to 2005 from BCC-CSM1.1m (CMIP5) are used for models assessment. The evaluation matrices include the following: (a) the energy budget at top-of-atmosphere; (b) surface air temperature, precipitation, and atmospheric circulation for the global and East Asia regions; (c) the sea surface temperature (SST) in the tropical Pacific; (d) sea-ice extent and thickness and Atlantic Meridional Overturning Circulation (AMOC); and (e) climate variations at different timescales, such as the global warming trend in the 20th century, the stratospheric quasi-biennial oscillation (QBO), the Madden-Julian Oscillation (MJO), and the diurnal cycle of precipitation. Compared with BCC-CSM1.1m, BCC-CSM2-MR shows significant improvements in many aspects including the tropospheric air temperature and circulation at global and regional scales in East Asia and climate variability at different timescales, such as the QBO, the MJO, the diurnal cycle of precipitation, interannual variations of SST in the equatorial Pacific, and the long-term trend of surface air temperature.

Original languageEnglish
Pages (from-to)1573-1600
Number of pages28
JournalGeoscientific Model Development
Volume12
Issue number4
DOIs
StatePublished - 24 Apr 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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