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SYSTEM AND METHOD FOR EVALUATING OF THE PERFORMANCE OF GLOBAL CLIMATE MODELS

机译:评估全球气候模式性能的系统和方法

摘要

PURPOSE: A system and a method for evaluating the simulation performance of a global climate model are provided to increase the reliability of climate prediction by reducing the climate prediction uncertainty of the East Asia. CONSTITUTION: A method for evaluating the simulation performance of a global climate model includes the following: climate data are detected from global climate simulation data and global observing data(S201); the signal-to-noise ratio, the empirical orthogonal function, the correlation coefficient, the standard deviation of the climate data are calculated(S202); the empirical orthogonal function of the global observing data is calculated(S203); the correlation coefficient of the empirical orthogonal function of the global observing data is calculated; the correlation coefficient and the standard deviation of the global climate simulation data and the global observing data are calculated to verify the climate simulation capability of a global climate model(S204); and the calculated correlation coefficient is compared with a saved boundary value to select a global climate model with superior simulation performance(S205, S206).
机译:目的:提供一种评估全球气候模型模拟性能的系统和方法,以通过减少东亚的气候预测不确定性来提高气候预测的可靠性。构成:一种评估全球气候模型模拟性能的方法包括:从全球气候模拟数据和全球观测数据中检测气候数据(S201);计算信噪比,经验正交函数,相关系数,气候数据标准差(S202);计算全局观测数据的经验正交函数(S203);计算全局观测数据经验正交函数的相关系数;计算全球气候模拟数据与全球观测数据的相关系数和标准差,以验证全球气候模型的气候模拟能力(S204);然后将计算出的相关系数与保存的边界值进行比较,以选择具有优异模拟性能的全球气候模型(S205,S206)。

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