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李剑东, 刘屹岷, 吴国雄. 积云对流和云物理过程调整对气候模拟的影响[J]. 大气科学, 2010, 34(5): 891-904. DOI: 10.3878/j.issn.1006-9895.2010.05.05
引用本文: 李剑东, 刘屹岷, 吴国雄. 积云对流和云物理过程调整对气候模拟的影响[J]. 大气科学, 2010, 34(5): 891-904. DOI: 10.3878/j.issn.1006-9895.2010.05.05
LI Jiandong, LIU Yimin, WU Guoxiong. Impacts of Adjustment among Cumulus Convection and Cloud Physics Processes on Climate Simulation[J]. Chinese Journal of Atmospheric Sciences, 2010, 34(5): 891-904. DOI: 10.3878/j.issn.1006-9895.2010.05.05
Citation: LI Jiandong, LIU Yimin, WU Guoxiong. Impacts of Adjustment among Cumulus Convection and Cloud Physics Processes on Climate Simulation[J]. Chinese Journal of Atmospheric Sciences, 2010, 34(5): 891-904. DOI: 10.3878/j.issn.1006-9895.2010.05.05

积云对流和云物理过程调整对气候模拟的影响

Impacts of Adjustment among Cumulus Convection and Cloud Physics Processes on Climate Simulation

  • 摘要: 本文利用中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室 (LASG/IAP) 的大气环流谱模式SAMIL, 结合观测与政府间气候变化专门委员会第四次评估报告 (IPCC AR4) 大气模式集合平均结果, 以大气辐射通量为例, 诊断分析了物理过程调整前后模式对气候模拟的影响。旧版本SAMIL对大气辐射通量的模拟存在较大偏差, 经过大气辐射过程、 积云对流和诊断云等物理过程的调整后, 新版本SAMIL模拟的全球辐射通量的年平均结果与观测的偏差大幅减小, 其中大气顶能量收支的年变化及其平均值与观测更为接近。在积云对流方案调整基础上, 通过对诊断云物理方案的进一步调整, 新版本SAMIL对云物理量模拟更为合理, 在赤道辐合带等区域, 在很大程度上克服了单一积云对流物理过程调整引起的云宏观和微观属性不匹配问题, 能模拟出夏季气候平均辐射通量的全球分布特征, 尤其在东亚区域有较好的模拟能力。研究还表明, 在热带和副热带对流活跃区域, 当前SAMIL中积云对流过程偏差对辐射通量的模拟偏差有很大影响, 而模式中较为简单的诊断云方案也会将云宏观物理量模拟偏差带入云微观量模拟中, 也是主要偏差源之一。本文结果表明, 要继续提高SAMIL的模拟性能, 急需更新云物理参数化方案以改进云辐射过程的模拟, 同时也需要有针对性的研究积云对流和云物理过程之间相互作用, 并作进一步协同调整。

     

    Abstract: Using the Spectral Atmosphere Model (SAMIL), developed by the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences (LASG/IAP), this study examines the simulation of radiative fluxes, by comparing with the observation and atmospheric multi-model results from IPCC AR4 (Intergovernmental Panel on Climate Change Fourth Assessment Report). In the old version of SAMIL, large biases of radiative fluxes are noted. The simulated radiative fluxes have been evidently improved in the new version of SAMIL, due to tuning the physics processes, i.e. radiation, cumulus convection, and cloud physics processes. Annual variation and mean of global radiative fluxes at the top of atmosphere are closer to the observation than those in the old version. The cloud physics process is further tuned on the basis of the adjustment of cumulus convection parameterization and then the new SAMIL reasonably represents the cloud properties. Meanwhile, the mismatch between cloud and radiation induced by only tuning the cumulus convection process in the old SAMIL is largely corrected. The new SAMIL could reproduce the basic feature of global climatological radiative fluxes, especially in East Asia. Furthermore, the results show that the biases of cumulus convection process largely affect radiative fluxes in the tropical and subtropical regions with active convection, and the simple cloud diagnosis scheme is one source of the major simulation biases. In summary, the cloud physics process in the SAMIL should be improved to better simulate cloud properties and physics process, and further cooperative adjustment is necessary, according to the study of interaction between cumulus convection and cloud physics processes.

     

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