| 基于卫星观测的辽东湾冰情统计分析 |
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| 引用本文： | 郭东琳,赵鹏,王彬,李亚汝,崔凤娟.基于卫星观测的辽东湾冰情统计分析[J].海洋与湖沼,2019,50(1):31-40. |
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| 作者姓名： | 郭东琳 赵鹏 王彬 李亚汝 崔凤娟 |
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| 作者单位： | 中国海洋大学海洋与大气学院 青岛 266100;国家海洋局北海预报中心 青岛 266061;山东省海洋生态环境与防灾减灾重点实验室 青岛266061;国家海洋局北海预报中心 青岛 266061;山东省海洋生态环境与防灾减灾重点实验室 青岛266061;国家海洋局北海信息中心 青岛266061 |
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| 基金项目： | 山东省海洋生态环境与防灾减灾重点实验室开放基金项目，201503号；海洋公益性行业专项经费资助项目，201505018-5号。 |
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| 摘 要： | 根据渤海6个海洋站的海冰监测及气温观测数据统计,终冰日及冰期可用来表征当年渤海冰情严重程度,在大多数年份冰情与终冰日早晚和冰期长短呈负相关。根据2006/2016年的辽东湾海冰面积及外缘线资料,分析了11年间辽东湾冰情的年变化特征,分析结果显示,辽东湾海冰受局地气温影响明显,两者呈较显著的负相关关系。分析结果发现,辽东湾海冰年际变化除受局地气候的影响外,还受太平洋副热带高压(简称副高)、极涡、东亚槽和欧亚环流等气候因子的共同调控,其中受太平洋副高北界位置指数、极涡面积指数、东亚槽强度指数、欧亚纬向环流指数影响最为显著,可作为辽东湾海冰预测的重要因子,此外北极海冰密集度也可以为预测当年冬季辽东湾每月冰情提供依据。
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| 关 键 词： | 辽东湾 冰情 局地气温 气候因子 北极海冰 |
| 收稿时间： | 2018/3/26 0:00:00 |
| 修稿时间： | 2018/4/28 0:00:00 |
SEA ICE IN THE LIAODONG BAY: STATISTICAL ANALYSIS BASED ON SATELLITE OBSERVATIONS |
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| GUO Dong-Lin,ZHAO Peng,WANG Bin,LI Ya-Ru and CUI Feng-Juan.SEA ICE IN THE LIAODONG BAY: STATISTICAL ANALYSIS BASED ON SATELLITE OBSERVATIONS[J].Oceanologia Et Limnologia Sinica,2019,50(1):31-40. |
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| Authors: | GUO Dong-Lin ZHAO Peng WANG Bin LI Ya-Ru and CUI Feng-Juan |
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| Institution: | College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China;North China Sea Marine Forecast Center of State Oceanic Administration, Qingdao 266061, China;Shandong Provincial Key Laboratory of Marine Ecological Environment and Disaster Prevention and Mitigation, Qingdao 266061, China,North China Sea Marine Forecast Center of State Oceanic Administration, Qingdao 266061, China;Shandong Provincial Key Laboratory of Marine Ecological Environment and Disaster Prevention and Mitigation, Qingdao 266061, China,North China Sea Marine Forecast Center of State Oceanic Administration, Qingdao 266061, China;Shandong Provincial Key Laboratory of Marine Ecological Environment and Disaster Prevention and Mitigation, Qingdao 266061, China,North China Sea Marine Forecast Center of State Oceanic Administration, Qingdao 266061, China;Shandong Provincial Key Laboratory of Marine Ecological Environment and Disaster Prevention and Mitigation, Qingdao 266061, China and North China Sea Data & amp;Information Service of State Oceanic Administration, Qingdao 266061, China |
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| Abstract: | Using the monitoring data of sea ice and the observation of air temperature from 2006 to 2016 in six marine stations in the Liaodong Bay along the northern Bohai Sea, the final ice day and the icing duration are used to better characterize the icing severity in the Liaodong Bay, North Bohai Sea. In most years, the final ice day and the icing duration are negatively correlated with the icing severity. Based on the sea ice area and outer edge distance data, the variation of icing severity in the 11 years was analyzed. The results show that the sea ice area in the Liaodong Bay was obviously influenced by the regional temperature, and a significant negative correlation was observed between the two variables. The inter-annual variation of sea ice in the Liaodong Bay is not only affected by regional climate, but also by the Pacific subtropical high, the Polar vortex, the East Asian Trough, Eurasian circulation index, and other climatic factors. The Pacific Subtropical High Northern Boundary Position Index, the Polar Vortex Area Index, the East Asian Trough Intensity Index, and the Eurasian Zonal Circulation Index are the most important influential factors, and these factors can be used as the predictive factors to the sea ice in the Liaodong Bay. In addition, the Arctic sea ice concentration can provide a reference for the prediction of sea ice in the Liaodong Bay. |
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| Keywords: | Liaodong Bay icing severity regional temperature climatic factors Arctic sea ice |
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