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常规观测资料的海表面水温实况分析,通常是按一定空间和时间间隔求出其平均值,进而得到该时段的大面分布图。有代表性的分析结果要求海区观测资料密度大,时空分布均匀,而目前不管是在大洋上还是在我国近邻海域,经常会遇到在一个方区内只有一个或几个资料的情况,如不加分析地用一个或几个资料的算术平均值代表该方区给定时段的平均值,就有可能得出歪曲了实况的分析结果。因此,要求分析者根据影响水温变化的物理机制客观地进行分析判断,以便尽可能得出接近实况的分析结果。海洋调查实践表明,在我国近邻海域,海表面水温周日变化有时会达到年变幅的一半。因此,在海表面水温实况分析业务中,
Routine observations of sea surface water temperature real-time analysis, usually according to a certain space and time interval to find the average, and then get the large area of the layout. Representative analysis results require sea observation data density, time and space evenly distributed, but now whether in the ocean or in China’s adjacent waters, often encounter in a square area only one or a few data, if not Adding an analytic average of one or more data representing the average for a given period of time in the square gives the possibility of skewing the results of the live analysis. Therefore, analysts are obliged to analyze and judge objectively according to the physical mechanism that affects the variation of water temperature so as to obtain the analysis result close to the actual situation as much as possible. Marine survey shows that the sea surface water temperature variation in China’s adjacent sea area sometimes reaches half of the annual variation. Therefore, in the sea surface water temperature analysis business,