摘要
本文基于深海海底动力平台采集的ADCP原始数据,论述了ADCP数据的标准化处理流程及质量控制方法,对原始数据及经过质量控制后的数据进行了不同角度和层面的分析。基于绘制的各类图件,对数据质量、数据有效性、设备性能做出了评估,并分析了深海观测点的海流状况。研究结果表明,本文研究的流程与方法针对ADCP观测数据处理效果良好,可为后续ADCP数据处理、产品生产及质量控制提供技术参考。
Based on the raw observation data collected by ADCP of the deep ocean observation platform, emphatically described the ADCP data standardization of process and quality control method. We analyzed the raw data and the data after quality control from different angles and levels. Based on all kinds of datum, we evaluated the data quality, data validity, and equipment performance, as well as obtained the current profiler of the deep ocean observation points. The results show that the process and method studied in this paper are effective for ADCP data processing, which can provide technical support for subsequent ADCP data processing, data production and quality control.
作者
谭俊峰
宋晓阳
张飞
杨杰
常永国
史晓龙
TAN Jun-feng;SONG Xiao-yang;ZHANG Fei;YANG Jie;CHANG Yong-guo;SHI Xiao-long(State Key Laboratory of Acoustics Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190,China;Zhongke Great Wall Ocean Information System Co.,Ltd.,Beijing 100085,China)
出处
《海洋技术学报》
2020年第5期32-38,共7页
Journal of Ocean Technology
基金
中国科学院信息化专项资助项目(XXH13506-308)。
关键词
ADCP
数据处理
数据产品
质量控制
深海海流
ADCP
data processing
data production
quality control
deep ocean current