Numerical Simulation of the Time Series of Bioclimatic Indices in the Russian Arctic Based on a Stochastic Weather Generator

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
M. S. Akenteva, N. A. Kargapolova
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引用次数: 0

Abstract

The paper proposes an approach to the numerical stochastic modeling of the time series of the wind chill index and equivalent effective temperature at weather stations located in the Arctic zone of the Russian Federation. The approach is based on the use of a specially designed stochastic weather generator. It is shown that the approach allows developing the models of the time series of bioclimatic indices that very accurately reproduce various statistical properties of real processes related, in particular, to their daily variations and specific features of the study area.

Abstract Image

基于随机天气发生器的俄罗斯北极地区生物气候指数时间序列数值模拟
摘要 本文提出了一种对位于俄罗斯联邦北极地区气象站的风寒指数和等效有效温度时间序列进行数值随机建模的方法。该方法基于使用专门设计的随机天气发生器。结果表明,该方法可以建立生物气候指数时间序列模型,非常准确地再现与实际过程有关的各种统计特性,特别是与它们的日变化和研究区域的具体特征有关的统计特性。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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