Comparison between spatio‐temporal random processes and application to climate model data
Comparison between spatio‐temporal random processes and application to climate model data
复制标题
时空随机过程比较及其在气候模型数据中的应用
DOI：
10.1002/env.2395
复制
发表时间：
2016
期刊：
影响因子：
1.7
通讯作者：
J. Smerdon
中科院分区：
文献类型：
--
作者：
Bo Li;Xianyang Zhang;J. Smerdon
比较两个时空过程通常是一个理想的练习。例如，对各种气候模型之间差异的评估可能涉及对每个模型模拟生成的合成气候随机场进行比较。我们使用函数数据分析方法开发严格的方法来比较两个时空随机过程的矩和时间趋势。我们方法的一个亮点是，我们可以比较两个随机过程之间的趋势面，这是通过评估气候模型合成气候在捕获真实观测数据的明显上升趋势方面的技能而激发的。我们进行模拟来评估我们的方法，然后应用这些方法来比较不同的气候模型，并根据观测到的温度场来评估模型模拟的合成温度场。版权所有 © 2016 约翰·威利父子有限公司
Comparing two spatio‐temporal processes are often a desirable exercise. For example, assessments of the difference between various climate models may involve the comparisons of the synthetic climate random fields generated as simulations from each model. We develop rigorous methods to compare two spatio‐temporal random processes both in terms of moments and in terms of temporal trend, using the functional data analysis approach. A highlight of our method is that we can compare the trend surfaces between two random processes, which are motivated by evaluating the skill of synthetic climate from climate models in terms of capturing the pronounced upward trend of real‐observational data. We perform simulations to evaluate our methods and then apply the methods to compare different climate models as well as to evaluate the synthetic temperature fields from model simulations, with respect to observed temperature fields. Copyright © 2016 John Wiley & Sons, Ltd.