Application and evaluation of McICA scheme in BCC_AGCM2.0.1
Application and evaluation of McICA scheme in BCC_AGCM2.0.1
复制标题
DOI：
10.1063/1.4804880
复制
发表时间：
2013-05
期刊：
影响因子：
--
通讯作者：
Xianwen Jing;Hua Zhang
中科院分区：
文献类型：
--
作者：
Xianwen Jing;Hua Zhang
McICA是一种新的云辐射方案，可以轻松定义子网格云结构，已纳入国家气候中心的全球气候模型，称为BCC_AGCM2.0.1。由于该方案不可避免地引入随机噪声，因此评估和估计噪声的行为方式以及噪声是否会导致模拟的气候退化非常重要。这里的结果显示，McICA 样本中的模拟气候存在轻微扰动，并且模拟气候场受 McICA 噪声的影响非常小，与参考 ICA 结果相比，全球平均偏差约为 0.01%。变量的区域平均、垂直和域分布也说明了 McICA 和 ICA 结果之间的良好一致性。因此，使用BCC_AGCM2.0.1中的McICA云辐射方案进行气候研究是高度可靠的。由于随机噪声对建模影响不大，BCC_AGCM2.0.1的建模能力仍然取决于其物理参数化和动态框架的改进...
McICA, a new cloud-radiation scheme that can easily define the sub-grid cloud structures, is incorporated into the National Climate Center’s Global Climate Model, called BCC_AGCM2.0.1. As random noises is inevitably introduced by the scheme, it’s important to evaluate and estimate how the noises behave and whether the modeled climate will be degraded by the noises. Results here showed a minor perturbation of modeled climate within McICA samples, and the modeled climate fields are impacted very little by McICA noises, with global mean biases at the order of 0.01% compared to the reference ICA results. Good agreement between McICA and ICA results is also illustrated from zonal mean, vertical, and domain distributions of variables. So, it’s highly reliable to use the McICA cloud-radiation scheme in BCC_AGCM2.0.1 to do climate researches. Because random noises have little impact on the modeling, the modeling ability of BCC_AGCM2.0.1 still depends on its physical parameterization and dynamic framework improvem...