
A new empirical model for retrieving sea surface salinity in L band
Author(s) -
Zhi Li,
En-Bo Wei,
Tian Ji-Wei
Publication year - 2007
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.56.3028
Subject(s) - salinity , remote sensing , seawater , environmental science , surface roughness , sea surface temperature , brightness temperature , microwave , brightness , geology , meteorology , oceanography , computer science , materials science , physics , optics , telecommunications , composite material
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.