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作 者:陈红霞[1] 吕连港[2] 华锋[2] 范斌[2] 刘娜[2] 房俊伟[3]
机构地区:[1]中国科学院海洋研究所 [2]国家海洋局第一海洋研究所 [3]海军92323部队
出 处:《海洋科学进展》2005年第3期359-362,共4页Advances in Marine Science
基 金:国家海洋局青年基金项目---东海黑潮主流段环流子结构及其动力机制初步研究(G2003201)和模拟退火法在浅海声层析中的应用研究(G200343)
摘 要:在近几年的西太平洋调查中使用了SVPlus声速测量仪,共获取了46个站点的声速剖面,并基于同步观测的CTD数据,利用3种常用的声速算法计算了这些站点的声速剖面。所有这些站点的测深度均超过1500m,而且调查时间为3个不同的季节。CTD数据计算得到的声速剖面与声速测量仪器观测的声速剖面的比较表明,在三种算法中,Chen和Millero算法在积分平均意义上是最好的。当定点比较时,在水深大于800m或者小于200m的范围内,Wilson算法较好;在其他水深范围内,Chen和Millero的算法的计算结果和实际测量结果较为一致。In recent years, the sound speed profiles at 46 stations in the western Pacific Ocean were obtained by using SV Plus sound velocity meter, and the sound speed profiles at these stations were also calculated by using three commonly used algorithms of sound speed and the simultaneously observed CTD data. The observed depths at these stations are all more than 1500 m, and the observations were made in 3 different seasons. The sound speed profiles calculated by using CTD data were then compared with those observed by SV Plus sound velocity meter, and it is shown from the comparison results that in a sense of integrating average, the Chen and Millero algorithm is the best among the three algorithms. In making comparison at a fixed station, the Wilson algorithm is better for a water depth greater than 800 m or less than 200 m, but the results calculated by using the Chen and Millero algorithm is more consistent with the observed ones for a water depth range from 200 m to 800 m.
分 类 号:P733.2[天文地球—物理海洋学]
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