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本文作为综述性文章介绍了合成滑动相关系数(Synthetic running correlation coefficient, SRCC)的发现和提出,在理论上的证明及其在大气、海洋等领域的应用成果。作者认为,SRCC是满足可比性要求的方法,揭示了滑动相关系数的实质,从物理上对时间变化序列相关性给出了科学的展示。SRCC可以与经验正交分解(EOF)方法联合使用,拓展到时空变化领域进行应用。提升了对物理过程时空变化的认识。因此,相信SRCC将在科学研究中发挥重要作用,可以推广到更广泛的领域应用。
Abstract：The proposal, theoretical proving and the application of the synthetic running correlation coefficient(SRCC) is reviewed for promoting the application of this method. SRCC is proved theoretically to satisfy the requirement for comparability and to be the unique algorithm for running correlation, which reflect the nature of running correlation. In addition, SRCC could be used to the spatiotemporal variation and could be jointly used with the empirical orthogonal function(EOF) method to represent the temporal variation of spatial patterns to promote the understanding for spatiotemporal variation. We are sure that SRCC will play an important role in scientific researches.
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基本信息:
中图分类号:P73
引用信息:
[1]赵进平,曹勇,石岩月.合成滑动相关系数的研究进展及其应用价值[J],2022,52(02):1-12.
基金信息:
国家自然科学基金项目（41941012,41976022）资助~~
2021-04-13
2021
2021-06-07
2021
2021-05-14
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