An overview of BCC climate system model development and application for climate change studies View Full Text


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Article Info

DATE

2014-02

AUTHORS

Tongwen Wu, Lianchun Song, Weiping Li, Zaizhi Wang, Hua Zhang, Xiaoge Xin, Yanwu Zhang, Li Zhang, Jianglong Li, Fanghua Wu, Yiming Liu, Fang Zhang, Xueli Shi, Min Chu, Jie Zhang, Yongjie Fang, Fang Wang, Yixiong Lu, Xiangwen Liu, Min Wei, Qianxia Liu, Wenyan Zhou, Min Dong, Qigeng Zhao, Jinjun Ji, Laurent Li, Mingyu Zhou

ABSTRACT

This paper reviews recent progress in the development of the Beijing Climate Center Climate System Model (BCC_CSM) and its four component models (atmosphere, land surface, ocean, and sea ice). Two recent versions are described: BCC_CSM1.1 with coarse resolution (approximately 2.8125°×2.8125°) and BCC_CSM1.1(m) with moderate resolution (approximately 1.125°×1.125°). Both versions are fully coupled climate-carbon cycle models that simulate the global terrestrial and oceanic carbon cycles and include dynamic vegetation. Both models well simulate the concentration and temporal evolution of atmospheric CO2 during the 20th century with anthropogenic CO2 emissions prescribed. Simulations using these two versions of the BCC_CSM model have been contributed to the Coupled Model Intercomparison Project phase five (CMIP5) in support of the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5). These simulations are available for use by both national and international communities for investigating global climate change and for future climate projections. Simulations of the 20th century climate using BCC_CSM1.1 and BCC_CSM1.1(m) are presented and validated, with particular focus on the spatial pattern and seasonal evolution of precipitation and surface air temperature on global and continental scales. Simulations of climate during the last millennium and projections of climate change during the next century are also presented and discussed. Both BCC_CSM1.1 and BCC_CSM1.1(m) perform well when compared with other CMIP5 models. Preliminary analyses indicate that the higher resolution in BCC_CSM1.1(m) improves the simulation of mean climate relative to BCC_CSM1.1, particularly on regional scales. More... »

PAGES

34-56

References to SciGraph publications

  • 2011-07. Simulation of freezing and melting of soil on the northeast Tibetan Plateau in SCIENCE BULLETIN
  • 2004-08. An empirical formula to compute snow cover fraction in GCMs in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2014-03. Improvement of 6–15 day precipitation forecasts using a time-lagged ensemble method in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2012-07. The coherent interdecadal changes of East Asia climate in mid-summer simulated by BCC_AGCM 2.0.1 in CLIMATE DYNAMICS
  • 2012-02. A mass-flux cumulus parameterization scheme for large-scale models: description and test with observations in CLIMATE DYNAMICS
  • 2008-06. Prediction of carbon exchanges between China terrestrial ecosystem and atmosphere in 21st century in SCIENCE IN CHINA SERIES D EARTH SCIENCES
  • 2012-12. The East Asian upper-tropospheric jet streams and associated transient eddy activities simulated by a climate system model BCC_CSM1.1 in ACTA METEOROLOGICA SINICA
  • 2012-06. Projections of annual mean air temperature and precipitation over the globe and in China during the 21st century by the BCC Climate System Model BCC_CSM1.0 in ACTA METEOROLOGICA SINICA
  • 2012-06. Tropical intraseasonal rainfall variability in the CFSR in CLIMATE DYNAMICS
  • 2012-04. Simulation of direct radiative forcing of aerosols and their effects on East Asian climate using an interactive AGCM-aerosol coupled system in CLIMATE DYNAMICS
  • 2010-01. The Beijing Climate Center atmospheric general circulation model: description and its performance for the present-day climate in CLIMATE DYNAMICS
  • 2013-05. Asymmetry of surface climate change under RCP2.6 projections from the CMIP5 models in ADVANCES IN ATMOSPHERIC SCIENCES
  • 2012-08. A simulation study on the extreme temperature events of the 20th century by using the BCC_AGCM in ACTA METEOROLOGICA SINICA
  • 2005-02. Highly variable Northern Hemisphere temperatures reconstructed from low- and high-resolution proxy data in NATURE
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    http://scigraph.springernature.com/pub.10.1007/s13351-014-3041-7

    DOI

    http://dx.doi.org/10.1007/s13351-014-3041-7

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    https://app.dimensions.ai/details/publication/pub.1010421819


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