SMOS L2 OS ATBD - ARGANS
SMOS L2 OS ATBD - ARGANS
SMOS L2 OS ATBD - ARGANS
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161<br />
4.10 Cardioid model<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: 161<br />
As shown by Waldteufel et al. (2004), simultaneous retrieval of the real, ', and imaginary<br />
part, ", of dielectric constant from <strong>SM<strong>OS</strong></strong> Tb is an ill posed problem as the cost function,<br />
rather than a single minimum, exhibit a minimum valley, that can be represented analytically<br />
using a modified cardioid model. After carrying out the following change of variable:<br />
' = A_card (1 + cos(U_card) ) cos (U_card) + B_card<br />
" = A_card (1 + cos(U_card) ) sin (U_card)<br />
which is equivalent to:<br />
A_card = m_card 2 / (m_card + ' – B_card) U_card = tan -1 ("/('-B_card) )<br />
with: m_card = ( ('-B_card) 2 + " 2 ) 1/2<br />
with B_card = 0.8, it is possible to retrieve the parameter A_card with good accuracy: a<br />
minimum of Chi2 is seen as a vertical line corresponding to a constant value of A_card and<br />
various values of U_card. Local minima of Chi2 are also observed for unrealistic negative<br />
values of A_card; as it will be described in the following, retrieval of such negative values<br />
are avoided by taking an error on prior A_card over the ocean of 20 units or by initiating the<br />
retrieval with low A_card value as low A_card are much better constrained.<br />
With these definitions and considering direct emissivity models described above: for sea ice,<br />
A_card=1.2 (U_card=0); over a flat sea, A_card ranges between 48 and 67 depending on SSS<br />
and SST values and U_card between -0.9 and -0.5 radians.<br />
It is clear that the minimization of Chi2 parameter does not allow to retrieve a single pair of<br />
(', ") while it allows to retrieve a single value of A_card, U_card remaining undetermined.<br />
We found that initiating the retrieval with low A_card prior value (A_card prior =1) and large<br />
error on A_card (A_card =50) allows to avoid retrieval of negative A_card values while<br />
avoiding biases on low A_card values and gives the same result over ocean pixels as taking<br />
A_card prior deduced from mean SSS and SST.<br />
Details on cardioid computation over the ocean are given by Boutin et al (submitted, see<br />
Annex-2).<br />
We suggest by default to use a minimalist model that includes the flat sea model plus<br />
atmospheric and constant galactic noise correction (GN=3.7K) reflected by a flat sea in order<br />
to minimize bias between effective A_card and A_card computed from retrieved SSS and<br />
SST. The relevance of including galactic noise and atmosphere correction in this minimalist<br />
model will be checked during AlgoVal tests.<br />
Retrievals using the cardioid model use all the measurements available (including<br />
outliers, those affected by ice, sky radiation, sun glint, etc.). This implies the bypass of<br />
the measurement discrimination step.<br />
[4.10.1]<br />
[4.10.2]