近30年北极海冰运动特征分析

	近30年北极海冰运动特征分析
其他题名	Analysis on the Characteristics of Arctic Sea Ice Movement in Recent 30 Years
	李瑜洁 1; 高晓清 2; 张录军 3; 郭维栋 4; 杨丽薇 5
	2019
发表期刊	高原气象
ISSN	1000-0534
卷号	38 期号:1 页码:114-123
摘要	The distribution and movement of sea ice contains a large amount of information on the coupling of sea and atmosphere. This paper uses the International Arctic Buoy Program (IABP) data and Myocean reanalysis data (ORAP 5. 0 series),from 1979 to 2011. The results show that from the comparison between the measured data and the reanalysis data,there is a large deviation between the reanalysis data and the measured data in 1999. After 1999,the trend of the reanalysis data and the trend of the buoy data are similar,because the ORAP 5. 0 was adopted in 1999. The new physical model makes the resulting reanalysis data more accurate. From the seasonal distribution of sea ice velocity,the sea ice flow rate is the largest in summer,followed by autumn. From the interannual variation of sea ice flow rate,before 1990,the sea ice flow rate changed year by year,and the sea ice flow rate changed more gradually. After 1990,the sea ice flow rate changed gradually. From the perspective of the sea ice flow rate and the direction of motion,the sea ice flow rate at the Fram Strait is more than 8 cm·s~(-1). Since the 1990s,the sea ice velocity has gradually changed to a relatively stable state. The reason may be that since the 1990s,the phenomenon of global warmingHiatus,such as the temperature in the middle and high latitudes of Eurasia and the Atlantic Ocean in North America,has not onlytemperature stagnationbut also Significant cooling. There are many MyOcean projects (130 kinds),and different types of reanalysis data are obtained by different ocean models,such as GLYYS2V3,CGLORS,UR025. 4,ORAP5. 0,MJM105B, etc. These data cover a wide range and the accuracy is very high (such as the sea ice concentration obtained by ORAP5. 0 is basically the same as the measured data),so MyOcean data products effectively improve the ability of ocean monitoring and forecasting. This study contributes to the understanding of Arctic marine motion,climate change and marine ecology,and is of great importance to Arctic fisheries and energy development as well as shipping.
其他摘要	海冰的分布和运动情况包含了大量的海气耦合的信息。本文采用国际北极海冰浮标计划数据(IABP)获得的1979-2011年74° N-90° N范围内32个站点的海冰流速资料和Myocean再分析资料(ORAP5. 0系列) 1979-2011年海冰流速部分,综合分析了北极海冰时空分布特征及海冰流速大小和方向的统计特征。结果表明:从实测数据与再分析数据比较来看,1999年再分析资料和实测资料有较大偏差,1999年之后再分析资料刻画的趋势和浮标数据趋势近似,因为1999年ORAP5. 0采用了新的物理模型,使所得再分析数据更加精确。从海冰流速季节分布来看,海冰流速在夏季最大,其次是秋季。从海冰流速年际变化来看,在1990年之前,海冰流速逐年变化趋势明显,海冰流速变率更大,而1990年之后海冰流速逐年变化趋势逐渐平缓。从海冰流速大小以及运动方向来看,弗拉姆海峡处海冰流速大于8 cm·s~(-1)的情况出现次数最多。自20世纪90年代以来,海冰流速变化逐渐趋向于一个相对稳定的状态。其原因可能是自20世纪90年代以来,全球变暖停滞(Hiatus)现象,比如欧亚大陆中高纬度地区以及北美大西洋地区的温度不仅出现了增温停滞现象,甚至出现明显的降温现象。MyOcean数据产品项目众多(130种),采用不同的海洋模型得到不同类型的再分析数据,如GLORYS2V3、 CGLORS、UR025. 4、ORAP5. 0、MJM105B等,这些数据涵盖面广,且在许多方面模拟精确度都很高(如ORAP5. 0得到的海冰密集度与实测数据基本一致),所以MyOcean数据产品有效提高了海洋监测和预报的能力。本研究有助于对北极海洋运动、气候变化及海洋生态的认识,对北极渔业和能源开发及航运有重要意义。
关键词	北极海冰速度时空分布气候变化 Arctic area sea ice velocity temporal and spatial distribution climate change
收录类别	CSCD
语种	中文
WOS关键词	Meteorology & Atmospheric Sciences
WOS研究方向	Science & Technology
WOS类目	METEOROLOGY ATMOSPHERIC SCIENCES
CSCD记录号	CSCD:6437509
引用统计	被引频次：5[CSCD] [CSCD记录]
文献类型	期刊论文
专题	任务一_子任务一循证社会科学证据集成任务一
作者单位	1.中国科学院西北生态环境资源研究院;;中国科学院大学, 中国科学院寒旱区陆面过程与气候变化重点实验室;;, 兰州;;, 甘肃;;北京 30000;;100049, 中国 2.中国科学院西北生态环境资源研究院;;中国科学院大学, 中国科学院寒旱区陆面过程与气候变化重点实验室;;, 兰州;;, 甘肃;;北京 30000;;100049, 中国 3.南京大学, 南京, 江苏 210046, 中国 4.南京大学, 南京, 江苏 210046, 中国 5.中国科学院西北生态环境资源研究院;;中国科学院大学, 中国科学院寒旱区陆面过程与气候变化重点实验室;;, 兰州;;, 甘肃;;北京 30000;;100049, 中国
推荐引用方式 GB/T 7714	李瑜洁,高晓清,张录军,等. 近30年北极海冰运动特征分析[J]. 高原气象,2019,38(1):114-123.
APA	李瑜洁,高晓清,张录军,郭维栋,&杨丽薇.(2019).近30年北极海冰运动特征分析.高原气象,38(1),114-123.
MLA	李瑜洁,et al."近30年北极海冰运动特征分析".高原气象 38.1(2019):114-123.