MWR Roughness Correction Algorithm for the Aquarius SSS Retrieval
[13-Nov-2014] Jones, L., Hejazin, Y., Al-Nimri, S.
Presented at the 2014 Aquarius/SAC-D Science Team Meeting
The measurement of SSS is challenging because there are many corrections that must be taken into account before obtaining the smooth ocean surface brightness temperature (Tb) that is used to retrieve salinity. The AQ baseline approach to provide roughness correction uses the AQ scatterometer ocean radar backscatter to infer excess ocean emissivity. In this poster an alternative MWR derived sea surface roughness correction algorithm is presented that uses a new semi-empirical microwave Radiative Transfer Model (RTM) to estimate the excess ocean emissivity using ancillary data such as sea surface temperature (SST) and ocean surface wind vector.