利用AVHRR传感器资料构建全球常年周平均海表温度场  

Long-term weekly average field of sea surface temperature with AVHRR sensor data

作　　者：李占强[1,2] 伍玉梅[2] 樊伟[2] 

机构地区：[1]大连海洋大学海洋科技与环境学院,大连116023 [2]中国水产科学研究院渔业资源与遥感信息技术重点开放实验室,上海200090

出　　处：《渔业信息与战略》2014年第3期215-220,共6页Fishery Information & Strategy

基　　金：国家科技支撑计划项目(2013BAD13B01)

摘　　要：海表温度（SST）是海洋生态系统和渔业研究的一个重要因子,为了更好地开展远洋渔场的预报和多年变化研究,迫切需要构建一个可参照对比的常年周平均海表温度场。本研究利用搭载在NOAA卫星上的AVHRR传感器获得的1982年～2012年近31年的日平均海表温度（SST）资料。使用IDL编程语言,对这些资料进行处理,经过数据读取、质量控制及反距离权重法插值等过程,逐年计算每年的周平均海表温度,再进一步对31年的同周数据进行算术平均计算,最后获得了52周的全球0.25°×0.25°网格的海表温度常年周平均参考场。该结果用作进行海表温度异常变化研究及分析的基准,可为研究海洋生态环境变动对渔场影响以及渔场预报等提供重要的参考。Sea surface temperature plays an important role in marine ecosystem. In order to improve the accuracy of marine fishery prediction and long- term comparison,the long-term weekly average sea surface temperature field needs to be built urgently. The sea surface temperature（ SST） data were obtained from NOAA satellite AVHRR sensor during the years of 1982- 2012. The process contained data handing,quality control,and interpolation calculation by inverse distance weighting method and so on. IDL program language was used in this research. First,the weekly average sea surface temperature was calculated year by year.Then the data of the same week in 31 years were dealt with the arithmetic average method. Finally,the longterm weekly average sea surface temperature field for 52 weeks was got,which was on a 0. 25° × 0. 25°global gird. This work can provide a high resolution weekly mean SST field for researchers,such as variations of marine ecosystem,effects on marine fishery from environmental changes and marine fishery prediction.

关 键 词：海表温度 常年周平均场 AVHRR 

分 类 号：S913[农业科学—水产科学]