北京气候中心气候系统模式研发进展——在气候变化研究中的应用

An overview on progress in Beijing Climate Center Climate System Model—Its development and application to climate change studies

  • 摘要: 较全面地介绍了北京气候中心气候系统模式(BCC_CSM)研发所取得的一些进展及其在气候变化研究中的应用,重点介绍了全球近280 km较低分辨率的全球海-陆-气-冰-生物多圈层耦合的气候系统模式BCC_CSM1.1和110 km中等大气分辨率的BCC_CSM1.1(m),以及大气、陆面、海洋、海冰各分量模式的发展。BCC_CSM1.1和BCC_CSM1.1(m)气候系统模式均包含了全球碳循环和动态植被过程。当给定全球人类活动导致的碳源排放后,就可以模拟和预估人类活动对气候变化的影响。BCC_CSM1.1和BCC_CSM1.1(m)已应用于IPCC AR5模式比较,为中外开展气候变化机理分析和未来气候变化预估提供了大量的试验数据。还介绍了BCC_CSM1.1和BCC_CSM1.1(m)参与国际耦合模式比较计划(CMIP5)的大量试验分析评估结果,BCC_CSM能够较好地模拟20世纪气温和降水等气候平均态和季节变化特征,以及近1000年的历史气候变化,所预估的未来100年气候变化与国际上其他模式的CMIP5试验预估结果相当。初步的分析表明,分辨率相对高的BCC_CSM1.1(m)在区域气候平均态的模拟上优于分辨率较低的BCC_CSM1.1。

     

    Abstract: This paper presents an overview on progress in the development of the Beijing Climate Center Climate System Model (BCC_CSM) and its four components: atmosphere, land surface, ocean and sea ice. It focuses on the two recent versions, i.e., BCC_CSM1.1 with a coarse atmospheric resolution (approximately 2.8125°×2.8125°) and BCC_CSM1.1(m) with a medium atmospheric resolution (approximately 1.125°×1.125°). Both versions of BCC_CSM are fully-coupled climate-carbon cycle models involving terrestrial and oceanic carbon cycle and vegetation dynamics. They can well simulate the atmospheric CO2 concentration and its temporal evolution when forced by anthropogenic emissions of CO2. They contribute to the CMIP5 efforts supporting the IPCC AR5. A large amount of simulations from BCC_CSM1.1 and BCC_CSM1.1(m) are available for studies on global climate and future climate projection.This paper also shows a few examples using BCC_CSM. There is an evaluation of BCC_CSM1.1 and BCC_CSM1.1(m) in reproducing present-day climate (especially the spatial pattern and seasonal feature of precipitation and surface air temperature, at global scale and in East Asia), in simulating paleoclimate during the last millennium, and in projecting climate change up to 2100. The results show that both BCC_CSM1.1 and BCC_CSM1.1(m) have good performances compared with the other CMIP5 models. It seems that BCC_CSM1.1(m) with a higher horizontal resolution has a better performance for climate mean state at regional scales than BCC_CSM1.1 does.

     

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