Further Development of Atmosphere Pressure Field Research in the Arctic Region of Russia

Author:

Tuchkova Natalia Pavlovna1ORCID,Belyaev Konstantin Pavlovich12ORCID,Mikhaylov Gury Mikhaylovich1ORCID,Salnikov Alexey Nikolaevich13ORCID

Affiliation:

1. Dorodnicyn Computing Center FRC CSC of RAS

2. Shirshov Institute of Oceanology of RAS

3. Lomonosov Moscow State University

Abstract

The results of studies of atmospheric pressure in the Arctic region of Russia for the period from 1948 to 2008 presented. The analysis of the climatic seasonal variation of the atmospheric pressure fields has been carried out. As the main research method, the probabilistic and statistical analysis of the time series of the pressure field during 60 years at fixed points in the region of the Arctic zone of Russia was used. In total, about 90,000 daily (with a six-hour interval) pressure values were studied. Based on these data, the climatic seasonal variability was constructed as an averaging of the values of a given time series at each point in space and for a fixed date. The characteristics of the seasonal cycle, its amplitude and phase have been analyzed. Those characteristics were studied and their geophysical interpretation was carried out. In particular, the minimum and maximum values of the series were determined for the entire region and the time series of these characteristics were constructed. It is shown that the deviation is asymmetrical in nature; this is an unobvious result of research. For the maximum and minimum, the best approximations were proposed, and these approximations were tested by known methods of statistical analysis, including maximum likelihood, least squares and goodness of fit methods (tests), in particular, the ?2 test. The performed study has applications both purely physical (allows to explain the nature, genesis and distribution of large-scale atmospheric formations in a climatic year) and prognostic (allows to understand and track trends in climate, as well as to quantitatively estimate the scale and variability of large-scale atmospheric processes). Numerical calculations were performed on the Lomonosov-2 supercomputer of the Moscow State University named after M.V. Lomonosov.

Publisher

Keldysh Institute of Applied Mathematics

Reference19 articles.

1. M. Kendall, A. Stuart, J. K. Ord, The Advanced Theory of Statistics. Volume 3: Design and Analysis, and Time-Series. Fourth edition Hardcover, 1983.

2. J. Murphy, Technical analysis of the futures markets. A Comprehensive Guide to Trading Methods and Applications. New York Institute of Finance, 1986.

3. V. E. Prival'skij, Statisticheskaya predskazuemost' srednej godovoj temperatury vozduha severnogo polushariya, Dokl. AN SSSR 257, 6 (1981) 1342–1345.

4. I. I. Zveryaev, I. M. Yashayaev, Sezonnaya izmenchivost' polej davleniya, temperatury vody i vozduha v Severnoj Atlantike po dannym COADS, Izvestiya AN SSSR. Fizika atmosfery i okeana 2 (1996) 222-239.

5. I. E. Frolov, Z. M. Gudkovich, V. P. Karklin, E. G. Kovalev, V. M. Smolyanickij, Klimaticheskie izmeneniya ledovyh uslovij v arkticheskih moryah evrazijskogo shel'fa, Problemy Arktiki i Antarktiki 75 (2007) 149–160.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3