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Algorithm Theoretical Based Document (ATBD) - CESBIO

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SO-TN-ESL-SM-GS-0001<br />

Issue 1.a<br />

Date: 31/08/2006<br />

SMOS level 2 processor<br />

Soil moisture <strong>ATBD</strong><br />

• Compute fractions FM 0 of various land types, which are used to drive the decision tree;<br />

• Compute reference values (to be used as a priori) for each mean fraction or group of fractions FM;<br />

• Apply incidence angle dependent fraction (FV) weighting to each L1c view for building the aggregated<br />

forward model used in the iterative retrieval and to be used during retrieval.<br />

Concerning tasks 1 and 2, use is made of an average MEAN_WEF function for which an analytical formulation is given<br />

below and a tabulation will be described in the TGRD. The present section addresses point 3, where an incidence angle<br />

dependant WEF function is needed.<br />

The weighting functions are to be applied to the cells of DFFG working area and parameters analyzed over it.<br />

3.2.2.4.1 Rigorous formulation of the WEF<br />

For each snapshot, depending on whether the pixel is dominated by land surface or ocean (or possibly other<br />

considerations), an apodization window is selected during the L1 processing. This quantity is close to the synthetic<br />

antenna pattern, which drives the angular resolution of the SMOS interferometer.<br />

The synthetic antenna pattern, also called Equivalent Array Factor EAF, is given by [99]:<br />

Eq 69<br />

where<br />

• W is the apodisation function<br />

• r is the fringe-washing factor (FWF) which accounts for the spatial decorrelation between antennas.<br />

• u,v are the baseline coordinates in the frequency domain<br />

• d is the antenna element spacing (= 0.875)<br />

• f 0 is the central frequency (1413 MHz)<br />

• ξ, η are the central director cosines (DC) coordinates; ξ', η' are running DC coordinates.<br />

For the nominal processing, were it not for the FWF factor, the AF would be the same everywhere in the DC plane, i.e.<br />

would not depend on ξ and η but only on ξ' and η' (For strip adaptive processing, a specific AF must be computed for<br />

each node of the fixed grid: see [100]).<br />

While its central part is centro-symmetric on antenna boresight (ξ = η = 0), the EAF has significant side-lobes which<br />

are either positive or negative and are no longer symmetrical.<br />

Furthermore, going from DC to polar coordinates, for nominal processing, the AF becomes elongated as the angular<br />

distance to boresight increases.<br />

The weighting function WEF is obtained through intersecting the AF with Earth surface. To this end, 2 further steps are<br />

needed, which account for:<br />

• a "smearing effect" due to integration along the track;<br />

• the variation of the integrating element with incidence angle, as the fine grid area does not lie on a plane.<br />

3.2.2.4.2 WEF approximations<br />

The results of the SMS study [101] suggest that, for well-behaved APF functions (Blackmann or better), truncating the<br />

exact APF to the main lobe does not generate significant errors for representative scenes. This is a worthwhile option to<br />

be considered since it restricts the domain over which the APF and WEF (see below) should be computed.<br />

Other approximations have been tested [102] through numerical retrieval simulation. As a result it is found possible to:<br />

• ignore the FWF factor;<br />

• approximate the APF by a centro-symmetric function, for which a simple analytical formula can be fitted;<br />

• ignore both smearing effect and Earth sphericity on the scale of the fine grid area.<br />

Then, the following simplified expression WEF A for the WEF is proposed:<br />

WEFA<br />

WEFA<br />

( ρ )<br />

DC<br />

sinc<br />

≈<br />

1+<br />

C<br />

( C ⋅ρ )<br />

( ρ ) = 0 otherwise<br />

DC<br />

WEF1<br />

WEF3<br />

⋅ρ<br />

C<br />

WEF2<br />

DC<br />

C<br />

WEF4<br />

DC<br />

if C<br />

WEF1<br />

⋅ρ<br />

DC<br />

≤ π<br />

Eq 70<br />

where<br />

.<br />

71

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