气象2016，Vol.42Issue(10)：1237-1244,8.DOI:10.7519/j.issn.1000-0526.2016.10.008
长时间序列卫星遥感渤海海冰时空分布特征及与气温关系分析
Temporal-Spatial Distribution of Bohai Sea Sea-Ice in Long-Time Series and Its Correlation with Air Temperature
摘要
Abstract
Using meteorological satellite data,this paper analyzes the temporal-spatial difference of Bohai Sea sea-ice in winters from 1996 to 2011.The interannual statistics indicate that 2011,2010 and 2001 are three years with the largest daily ice areas over 30000 km2 while 1999,2002 and 2007 are three years with the smallest daily ice areas,which are less than 10000 km2 .Sea ice mainly concentrates in Laizhou Bay, followed by Bohai Bay and Liaodong Bay.The frequency of sea ice decreases from northeast to southwest and from seashore to deep sea in Liaodong Bay,and from seashore to deep sea in Bohai Bay and Laizhou Bay.By analyzing the ice area data of Bohai sea and accumulated air temperature (≤-2℃)and air tem-perature at Yingkou Station,we found that the ice area in the Bohai Sea shows a negative correlation with the accumulated air temperature (≤-2℃)and air temperature at Yingkou Station.During the increasing period of sea ice,the ice area shows a significant correlation with the accumulated air temperature,the re-gression equation about them is derived and the correlation coefficient is -0.90;in the thawing period,the corre-lation between ice area and the 3 days (that very day and two days before)average temperature is fine,and the regression equation about them is derived the correlation coefficient is -0.84.Finally,the equation for the Bohai Sea ice area forecast is proposed by stages,and the equation is applied to sea ice forecasting test in the 2013/2014 winter.The test result proved the equation is good for the Bohai Sea ice area forecasting.关键词
渤海海冰/时空分布/积温/气温/气象卫星Key words
Bohai Sea sea-ice/temporal-spatial distribution/accumulated temperature/air temperature/meteorological satellite分类
天文与地球科学引用本文复制引用
王萌,武胜利,郑伟,赵长海,刘诚..长时间序列卫星遥感渤海海冰时空分布特征及与气温关系分析[J].气象,2016,42(10):1237-1244,8.基金项目
公益性行业（气象）科研专项（GYHY201306049）资助 （）
