Title :
Optimization of L-Band Sea Surface Emissivity Models Deduced From SMOS Data
Author :
Yin, Xiaobin ; Boutin, Jacqueline ; Martin, Nicolas ; Spurgeon, Paul
Author_Institution :
Inst. Pierre-Simon Laplace, Lab. d´´Oceanogr. et du Climat-Experimentation et Approches Numeriques (LOCEAN), Univ. Pierre et Marie Curie, Paris, France
fDate :
5/1/2012 12:00:00 AM
Abstract :
The Soil Moisture and Ocean Salinity (SMOS) satellite, launched in November 2009, carries the first interferometric radiometer at L-band (1.4 GHz) in orbit. Over the open ocean and for moderate wind speeds (WSs), the SMOS brightness temperatures (TB) are at first order consistent with simulated TB of theoretical prelaunch models implemented in the European Space Agency Level 2 Ocean Salinity processor. However, we found large discrepancies between measurements and model simulations when WS is above 12 ms-1. A new set of parameters for a sea wave spectrum and a foam coverage model that can be used for simulating L-band radiometer data over a large range of WS is proposed based on the deduced wind-induced components from the SMOS data. The quality of the SMOS retrieved sea surface salinity (SSS) with the new emissivity model is estimated by comparing it with the World Ocean Atlas 2005 climatological SSS and the Array for Real-Time Geostrophic Oceanography (ARGO) SSS.
Keywords :
brightness; emissivity; ocean temperature; ocean waves; oceanographic techniques; optimisation; radiometry; AD 2009 11; ARGO SSS; Array for Real-Time Geostrophic Oceanography; European Space Agency Level 2 Ocean Salinity processor; L-band sea surface emissivity models; SMOS data; SMOS satellite; Soil Moisture and Ocean Salinity satellite; World Ocean Atlas 2005 climatological SSS; brightness temperatures; foam coverage model; interferometric radiometer; open ocean; optimization; sea surface salinity; sea wave spectrum; theoretical prelaunch models; Ocean temperature; Rough surfaces; Sea measurements; Sea surface; Surface roughness; Surface waves; Foam coverage; L-band; sea surface emissivity; wind;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2012.2184547