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sst_2.html

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@@ -519,7 +519,20 @@ <h4>Error Propagation and Climate Stability Implications</h4>
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$$T_{b,1}- T_{b,2} = (A_1 - A_2) T_s + (\beta_1 - \beta_2)$$
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<p>Since atmospheric absorption differs slightly between channels, this difference isolates atmospheric
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effects, allowing us to construct a linear estimator for \(T_s\).</p>
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effects, allowing us to construct a linear estimator for \(T_s\). We can solve these two equations for \(T_s\) as:
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</p>
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$$T_s = \frac{T_{b,1} - \beta_1}{A_1} = \frac{T_{b,2} - \beta_2}{A_2}.$$
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<p>But in reality, \(\beta_i\) and \(A_i\) depend on atmospheric state and are not known perfectly. So instead of solving exactly,
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we build a first-order linear estimator that compensates for atmospheric effects using the brightness temperature difference.
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That estimator is:
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</p>
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$$T_s = a_0 +a_1 T_{b,1} + a_2 (T_{b,1} - T_{b,2}).$$
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<p>This is the split-window SST equation.</p>
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</li>
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