Assessing Atmospheric Response to Surface Forcing in the Observations . Part I : Cross Validation of Annual Response Using GEFA , LIM , and FDT
Assessing Atmospheric Response to Surface Forcing in the Observations . Part I : Cross Validation of Annual Response Using GEFA , LIM , and FDT
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DOI：
10.1175/jcli-d-11-00545.1
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Zhengyu Liu
中科院分区：
文献类型：
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作者：
Zhengyu Liu
本文比较了三种统计方法[广义平衡反馈分析（GEFA）、线性逆模拟（LIM）和波动耗散定理（FDT）]在与观测值相当的样本长度（几十年）下对耦合气候系统中大气对海面温度变率的响应的评估。首先在理想耦合模型中进行比较，然后在观测中进行比较。对于日至候数据，对于线性随机系统，简单模式研究表明，所有三种方法都能够提供对大气响应的一致评估。对于月度数据，全球环境融资能够使用这三种方法得出与每日或每期评估相当的评估。在200 hPa大气位势高度对热带ENSO模态和北太平洋模态响应的观测中进一步证实了三种方法的一致性。结果表明，三种方法的响应一致，总体模式相关大于0.95，幅值差在10% ~ 20%之间。简单模式和观测数据的一致结果表明，这三种统计方法可用于交叉验证观测资料中大气对地表强迫响应评估的稳健性。
Three statistic methods [generalized equilibrium feedback analysis (GEFA), linear inverse modeling (LIM), and fluctuation–dissipation theorem (FDT)] are compared for their assessment of the atmospheric response to sea surface temperature variability in the coupled climate system with a sample length comparable with the observations (decades). The comparison is made first in an idealized coupled model and then in the observations. For daily to pentad data, for a linear stochastic system, the simple model study demonstrates that all three methods are able to provide a consistent assessment of the atmospheric response. For monthly data, GEFA is able to produce an assessment comparable with the daily or pentad assessments using the three methods. The consistence of the three methods is further confirmed in the observations for the responses of the atmospheric geopotential height (at 200 hPa) to the tropical ENSO mode and the North Pacific mode. It is found that the three methods produce a consistent response with the overall pattern correlation over 0.95 and the amplitude difference within 10%–20%. The consistent results in both the simple model and the observations suggest that the three statistical methods can be used as a cross validation on the robustness of the assessment of the atmospheric response to surface forcing in the observations.