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20世纪90年代以来北极海冰减少的热动力分析——基于PIOMAS模式结果

周璐 徐世明 曾刚

大气科学2017,Vol.41Issue(1):57-70,14.
大气科学2017,Vol.41Issue(1):57-70,14.DOI:10.3878/j.issn.1006-9895.1606.15267

20世纪90年代以来北极海冰减少的热动力分析——基于PIOMAS模式结果

Dynamic and Thermodynamic Analysis of Arctic Sea Ice Decrease since the 1990s Based on PIOMAS Simulations

周璐 1徐世明 1曾刚2

作者信息

  • 1. 清华大学地球系统科学研究中心,北京100084
  • 2. 南京信息工程大学气象灾害预报预警与评估协同创新中心/气象灾害教育部重点实验室,南京210044
  • 折叠

摘要

Abstract

Based on simulations from PIOMAS (Pan-Arctic Ice Ocean Modeling and Assimilation System) model developed by University of Washington and their comparison with observational data,this study analyzes the characteristic dynamic and thermodynamic processes of the decrease in Arctic sea ice.The sea ice volume output flux is used to study dynamic process while thermodynamic process is obtained from dynamics indirectly in the recent 30 years,especially since the 1990s.The correlations between the Arctic sea ice decrease and atmospheric circulation modes like Arctic Oscillation (AO) and Arctic Dipole (AD) are also discussed.Results show that the thickness of perennial sea ice over Fram Strait experienced a significant reduction since 1995.Thermodynamic process played a prominent role in the Arctic sea ice decrease since the 1990s,especially in the 2000s.Furthermore,AO and AD do have influences on the flux of Arctic sea ice volume and their correlations with the flux are all significant at the 99% confidence level.Multiple linear regression using AO and AD can fit the reduction of sea ice volume output flux perfectly.

关键词

北极海冰减少/热力和动力分析/PIOMAS (Pan-Arctic Ice Ocean Modeling and Assimilation System)模式/可能机理

Key words

Reduction of Arctic sea ice/Dynamics and thermodynamic analysis/PIOMAS (Pan-Arctic Ice Ocean Modeling and Assimilation System) model/Possible mechanism

分类

海洋科学

引用本文复制引用

周璐,徐世明,曾刚..20世纪90年代以来北极海冰减少的热动力分析——基于PIOMAS模式结果[J].大气科学,2017,41(1):57-70,14.

基金项目

国家重点基础研究发展计划(973计划)项目2013CB430202,公益性行业(气象)科研专项GYHY201306020,国家自然科学基金项目41575076、 41430528 (973计划)

National Basic Research Program of China (973 Program,Grant 2013CB430202),Special Fund for Meteorological Research in the Public Interest (Grant GYHY201306020),National Natural Science Foundation of China (Grants 41575076 and 41430528) (973 Program,Grant 2013CB430202)

大气科学

OA北大核心CSCDCSTPCD

1006-9895

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