Simulating Clouds with Global Climate Models: A Comparison of CMIP5 Results with CMIP3 and Satellite Data
Simulating Clouds with Global Climate Models: A Comparison of CMIP5 Results with CMIP3 and Satellite Data
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DOI：
10.1175/jcli-d-12-00451.1
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发表时间：
2013-05
影响因子：
4.9
通讯作者：
A. Lauer;K. Hamilton
中科院分区：
文献类型：
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作者：
A. Lauer;K. Hamilton
摘要云是影响辐射平衡和水文循环的气候系统的重要组成部分。耦合模式相互比较项目第3阶段（CMIP 3）的先前研究表明，影响所有GCM的模拟云气候学存在相当大的偏差，并且代表2005年左右最先进水平的模型之间存在显着程度的变化。在这里，近年来取得的进展是通过比较平均云的属性，年际变化，从CMIP 5模式与卫星观测的气候季节循环和从可比CMIP 3实验的结果来衡量。重点是三个气候相关的云参数：云量，液态水路径和云辐射强迫。比较表明，模型间的差异仍然很大，在耦合模型相互比较项目第5阶段（CMIP 5）模拟，并揭示了一些小的改进，在某些地区的特定云的性能在CMIP 5合奏超过C…
AbstractClouds are a key component of the climate system affecting radiative balances and the hydrological cycle. Previous studies from the Coupled Model Intercomparison Project phase 3 (CMIP3) showed quite large biases in the simulated cloud climatology affecting all GCMs as well as a remarkable degree of variation among the models that represented the state of the art circa 2005. Here the progress that has been made in recent years is measured by comparing mean cloud properties, interannual variability, and the climatological seasonal cycle from the CMIP5 models with satellite observations and with results from comparable CMIP3 experiments. The focus is on three climate-relevant cloud parameters: cloud amount, liquid water path, and cloud radiative forcing. The comparison shows that intermodel differences are still large in the Coupled Model Intercomparison Project phase 5 (CMIP5) simulations, and reveals some small improvements of particular cloud properties in some regions in the CMIP5 ensemble over C...