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SMOS L2 OS ATBD - ARGANS

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VI<br />

ICM-CSIC<br />

LOCEAN/SA/CETP<br />

IFREMER<br />

<strong>SM<strong>OS</strong></strong> <strong>L2</strong> <strong>OS</strong><br />

Algorithm Theoretical<br />

Baseline Document<br />

Doc: SO-TN-ARG-GS-0007<br />

Issue: 3 Rev: 9<br />

Date: 25 January 2013<br />

Page:A2- VI<br />

From Figure 2, it is clear that the minimization of Chi2 parameter does not allow to retrieve a<br />

single pair of (', ") while it allows to retrieve a single value of Acard, Ucard remaining<br />

undetermined.<br />

The retrieval is performed through the iterative Levenberg and Marquard (Marquardt 1963)<br />

algorithm. Minimization is done over Tb measured and modelled at the antenna level, using<br />

the following cost function:<br />

chi2<br />

1<br />

mod<br />

2<br />

prior ret<br />

Nm<br />

meas T ( , 1,<br />

2)<br />

<br />

bi<br />

T i<br />

1,<br />

2<br />

bi P P<br />

P P<br />

P P 1 N<br />

<br />

<br />

2<br />

2<br />

i 0<br />

T<br />

P1, P2<br />

P<br />

b i<br />

where (P1, P2) are (Acard, surface temperature), Nm is the number of measurements in the<br />

meas<br />

i<br />

mod<br />

i<br />

pixel, T b , radiometer measurements, T b modelled Tb and T , radiometric errors;<br />

prior<br />

P ,<br />

ret<br />

P and P are a priori value, retrieved value and a priori error on P1 and P2<br />

parameters. The error on surface temperature is set to 1.5°C. Over the ocean, Acard prior is<br />

deduced from mean SSS and SST, and Acard is taken as 20% of Acard a priori value (about<br />

10). In case of sea-ice retrievals, several a priori values of Acard and Acard were tested in<br />

order to avoid retrieval of negative Acard values while avoiding biases on low Acard values.<br />

We found that initiating the retrieval with low Acard prior value (Acard prior =1) and large<br />

error on Acard (Acard =50) meets this goal and gives the same result over ocean pixels as<br />

taking Acard prior deduced from mean SSS and SST.<br />

Two kinds of retrievals were performed: academic retrievals and semi-realistic retrievals:<br />

Academic retrievals:<br />

These retrievals were performed in order to look at the performance of the Acard retrieval, in<br />

case of ocean-ice heterogeneous pixels or in case of biases on auxiliary parameters or on Tb.<br />

Tb, entering in the retrieval, is modelled considering only parts of the direct model that are<br />

impacted by these biases. Atmospheric effects, galactic noise reflection and Faraday rotation<br />

are neglected.<br />

<br />

bi<br />

2<br />

Eqn. 3

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