Aquarius/SAC-D卫星盐度数据在中国南海的准确度评估

doi:10.11978/j.issn.1009-5470.2013.05.004

热带海洋学报 ›› 2013, Vol. 32 ›› Issue (5): 23-28.doi: 10.11978/j.issn.1009-5470.2013.05.004cstr: 32234.14.j.issn.1009-5470.2013.05.004

所属专题：海洋大数据及应用

Aquarius/SAC-D卫星盐度数据在中国南海的准确度评估

王新新^{1, 2}, 杨建洪², 赵冬至², 王祥^{1, 2}, 孙广轮^{1, 2}

1. 大连海事大学环境科学与工程学院,辽宁大连 116026; 2. 国家海洋环境监测中心,辽宁大连 116023

收稿日期:2012-05-03 修回日期:2013-01-21 出版日期:2013-11-21 发布日期:2013-11-21
通讯作者: 赵冬至(1964—), 男, 辽宁省辽阳市人, 博士, 研究员, 博士生导师, 主要从事赤潮、溢油、水质、温盐和海洋生态环境的卫星遥感与GIS相关技术研究。E-mail: dzzhao@nmemc.gov.cn
作者简介:王新新(1989—), 男, 满族, 辽宁省盘锦市人, 硕士研究生, 主要研究方向为海洋表层盐度卫星微波遥感。E-mail: gulf5136@sina.com
基金资助:
海洋公益性行业科研专项经费项目(20090592)

Assessment of Aquarius/SAC-D salinity data accuracy in the South China Sea

WANG Xin-xin^{1, 2}, YANG Jian-hong², ZHAO Dong-zhi², WANG Xiang^{1, 2}, SUN Guang-lun^{1, 2}

1. College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, China; 2. National Marine Environmental Monitoring Center, Dalian 116023, China

Received:2012-05-03 Revised:2013-01-21 Online:2013-11-21 Published:2013-11-21

摘要/Abstract

摘要： 采用Argo浮标表层数据评估了Aquarius/SAC-D卫星L2盐度数据在中国南海的准确度, 并进行局地化影响因素分析。结果表明, 匹配数据的线性关系并不显著, 卫星数据在南海及其东北部海域的准确度分别为0.62‰和0.70‰。南海处于低纬度地区, 海表温度较高, 对结果影响较小, 影响数据准确度的因素可能是该海域的强风场、降雨和陆地射频干扰(RFI)等。从分析结果可以看出盐度反演误差随风速增大而增大, 风速大于7m·s^-1时, 盐度反演误差会呈明显上升趋势, 可见海表面粗糙度对数据准确度影响很大; 同时, 南海处在RFI高度污染地区, 即使卫星数据产品修正了RFI的影响, 但并没有完全消除, 所以RFI可能也会影响卫星数据的准确度。

关键词: 卫星遥感, 准确度评估, 海表面盐度, 射频干扰, 海表粗糙度

Abstract: This study assesses the accuracy of Aquarius/SAC-D satellite sea surface salinity (SSS) data in the South China Sea using Argo buoy data, and analyzes the influencing factors. The results indicate that the linear relationship of co-located data is not significant. The SSS inversion accuracy in the South China Sea and northeastern waters is 0.62‰ and 0.70‰, respectively. Located at low latitude, the sea surface temperature (SST) in the South China Sea is high, which has a small effect on the accuracy. The factors that influence the SSS accuracy may be the strong breeze, rainfall and land radio frequency interference (RFI), etc. The results show that the SSS retrieval error increases with wind speed when the wind speed is greater than 7 m·s^-1, and that the error has a clear ascendant trend. Meanwhile, the South China Sea is seriously contaminated by the land RFI. Even if the Aquarius/SAC-D SSS product has corrected the land RFI in its new Version 1.3. The RFI is not eliminated, and may still have an influence on the accuracy.

Key words: satellite remote sensing, accuracy assessment, sea surface salinity, radio frequency interference, sea surface roughness

中图分类号:

TP722.6

王新新, 杨建洪, 赵冬至, 王祥, 孙广轮. Aquarius/SAC-D卫星盐度数据在中国南海的准确度评估[J]. 热带海洋学报, 2013, 32(5): 23-28.

WANG Xin-xin, YANG Jian-hong, ZHAO Dong-zhi, WANG Xiang, SUN Guang-lun. Assessment of Aquarius/SAC-D salinity data accuracy in the South China Sea[J]. Journal of Tropical Oceanography, 2013, 32(5): 23-28.

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Aquarius/SAC-D卫星盐度数据在中国南海的准确度评估

Assessment of Aquarius/SAC-D salinity data accuracy in the South China Sea

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