摘要
海表盐度是描述海洋的一个重要参量,海表盐度的微波探测是海洋遥感研究的重要内容.利用黄海实测盐度数据和海表亮温资料,建立了一个适用于黄海近岸的盐度反演模式.在没有海浪破碎情况下,利用L波段的亮温资料反演海洋表层盐度.本模式充分考虑了海面粗糙度的影响,从海水亮温和海水的介电常数反演的表层盐度和实测的表层海水盐度基本一致,其平均绝对误差为0.288psu,与同类模式相比具有较高的精度.
Sea surface salinity is a key physical parameter in ocean science. It is important in the ocean remote sensing to retrieve sea surface salinity by the microwave probe technology. Based on the in situ measurement data and remote sensing data of the Yellow Sea, we have built a new empirical model in this paper, which can be used to retrieve sea surface salinity of the Yellow Sea by means of the brightness temperature of the sea water at L-band. In this model, the influence of the roughness of the sea surface is considered, and the retrieved result is in good agreement with the in situ measurement data, where the mean absolute error of the retrieved sea surface salinity is about 0.288 psu. This result shows that our model has greater retrieval precision compared with similar models.
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2007年第5期3028-3030,共3页
Acta Physica Sinica
基金
国家自然科学基金(批准号:40476062)
国家863项目(批准号:2002AA639270
2002AA633130)资助的课题~~
关键词
盐度
亮温
辐射率
介电常数
salinity, brightness temperature, emissivity, dielectric constant
