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Quantifying predictability of sea ice around the Indian Antarctic stations using coupled ocean sea ice model with shelf ice
https://nipr.repo.nii.ac.jp/records/15464
https://nipr.repo.nii.ac.jp/records/15464ffe1bf72-44ae-4728-9265-1beff8524178
Item type | 学術雑誌論文 / Journal Article(1) | |||||||||||
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公開日 | 2019-04-03 | |||||||||||
タイトル | ||||||||||||
タイトル | Quantifying predictability of sea ice around the Indian Antarctic stations using coupled ocean sea ice model with shelf ice | |||||||||||
タイトル | ||||||||||||
言語 | en | |||||||||||
タイトル | Quantifying predictability of sea ice around the Indian Antarctic stations using coupled ocean sea ice model with shelf ice | |||||||||||
言語 | ||||||||||||
言語 | eng | |||||||||||
キーワード | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | Predictability | |||||||||||
キーワード | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | Indian Antarctic stations | |||||||||||
キーワード | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | Ocean sea ice modeling | |||||||||||
キーワード | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | Shelf ice | |||||||||||
資源タイプ | ||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||
資源タイプ | journal article | |||||||||||
アクセス権 | ||||||||||||
アクセス権 | metadata only access | |||||||||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||||||||
著者 |
Kumar, Anurag
× Kumar, Anurag
× Dwivedi, Suneet
× Pandey, Avinash C.
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抄録 | ||||||||||||
内容記述タイプ | Abstract | |||||||||||
内容記述 | The importance of ice shelf in realistic simulation of the ocean sea ice variability is demonstrated in the Southern Ocean region [9 E - 78 E; 58 S - 71 S] covering the Indian Antarctic Stations Maitri [11.7 E; 70.7 S] and Bharati [76.1 E; 69.4 S] during 2002–2012. A coupled ocean sea-ice modeling with ice shelf is carried out for this purpose. It is shown that the inclusion of shelf ice in the coupled model setup leads to better simulation of the sea surface temperature (SST), sea surface salinity (SSS), and sea ice concentration (SIC) of the region. The effect of ice shelf on the sub-surface temperature and salinity is also examined. The model derived surface currents are used to compute the Finite Time Lyapunov Exponent (FTLE) as a measure of spatio-temporal local predictability in the domain of study. The regions of high and low predictability and their seasonal evolution are clearly demonstrated using the FTLE. The chaotic time series analysis of sea ice volume (SIV) around the Maitri and Bharati stations is performed to examine the predictability of SIV. The largest Lyapunov exponent and Correlation dimension are used as the measures of predictability for this purpose. It is found that there exists a low-dimensional chaotic attractor around the Maitri and Bharati with the correlation dimension of 2.95 and 1.9, respectively. The FTLE as well as the largest Lyapunov exponent analysis suggests that the Maitri region is less predictable as compared to the Bharati region. The analysis reveals that the limit of predictability of the SIV around the Maitri and Bharati regions is 22 days and 25 days, respectively. | |||||||||||
書誌情報 |
en : Polar Science 巻 18, p. 83-93, 発行日 2018-12 |
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ISSN | ||||||||||||
収録物識別子タイプ | ISSN | |||||||||||
収録物識別子 | 18739652 | |||||||||||
DOI | ||||||||||||
識別子タイプ | DOI | |||||||||||
関連識別子 | https://doi.org/10.1016/j.polar.2018.04.003 | |||||||||||
関連名称 | 10.1016/j.polar.2018.04.003 |