Modeling the Northern Caspian Sea Ice Cover in Extreme Seasons

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
E. S. Nesterov, V. D. Zhupanov, A. V. Fedorenko
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引用次数: 0

Abstract

Based on the CICE model, the characteristics of the ice cover in the Northern Caspian Sea were simulated during the extreme ice seasons of 2011/2012 (long and cold) and 2015/2016 (short and warm). The characteristics of these seasons (length, frost degree-days, sea ice extent, maximum ice thickness) are given. Composite anomalies of surface air pressure and air temperature were constructed for the Northern Caspian region. Based on the JRA-55 reanalysis data, the concentration and thickness of sea ice were calculated. A comparison of the simulation results with observational data showed that the main differences in ice conditions in these seasons are reproduced satisfactorily.

Abstract Image

极端季节里海北部冰盖建模
摘要基于 CICE 模型,模拟了 2011/2012 年(长而冷)和 2015/2016 年(短而暖)极端冰季期间北里海的冰盖特征。给出了这些季节的特征(长度、霜冻度日、海冰范围、最大冰厚)。构建了北里海地区的地面气压和气温综合异常。根据 JRA-55 再分析数据,计算了海冰的浓度和厚度。模拟结果与观测数据的比较表明,这些季节冰情的主要差异得到了令人满意的再现。
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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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