i Detection of Smoke and Dust Aerosols Using Multi-sensor Satellite ...
i Detection of Smoke and Dust Aerosols Using Multi-sensor Satellite ...
i Detection of Smoke and Dust Aerosols Using Multi-sensor Satellite ...
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with Eq. (7.4) in which the symbol SZA ’assumes to be the correct SZA,<br />
R R / cos( SZA)<br />
(7.4)<br />
Therefore, the relative error between two responses R’<strong>and</strong> R ’could be calculated with<br />
Eq. (7.5).<br />
R R R cos( SZA) cos( SZA)<br />
1 1 1<br />
R R cos( SZA) cos( SZA SZA)<br />
where ΔSZA is the difference between two solar zenith angles SZA ’<strong>and</strong> SZA’.<br />
109<br />
(7.5)<br />
The theoretical impact <strong>of</strong> mis-registration on L1B measurement for both directions is<br />
plotted in Fig. 7.6, with one, two, or three -pixel BBR shift. In scan direction, the impact<br />
changes rapidly at both ends but slowly in the middle. Since the change <strong>of</strong> SZA is<br />
quasi-linear in track direction, the impact <strong>of</strong> BBR shift along-track on L1B measurement<br />
has almost the same quasi-linear trend.<br />
The SZA in one granule is different with geo-location <strong>and</strong> seasons, the largest relative<br />
error could be estimated with the curves in Fig. 7.7 by defining the largest SZA <strong>of</strong> one<br />
granule <strong>and</strong> corresponding BBR shift. The curves computed with Eq. (7.5) by setting<br />
ΔSZA as 0.01 o , 0.03 o , 0.05 o , or 0.1 o show that the relative error increases with the positive<br />
ΔSZA <strong>and</strong> decreases with negative ΔSZA. The curve changes slowly at the small SZA<br />
range while rapidly at the large SZA range. The relative error could reach to 0.5%, if<br />
there is 0.1 o ΔSZA, when SZA is about 65 o .