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split-window SST equation
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sst_2.html

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@@ -531,8 +531,25 @@ <h4>Error Propagation and Climate Stability Implications</h4>
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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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<p>This is the <b>split-window SST equation</b>. Where:</p>
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<ul>
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<li>\(T_{b,1}\) contains mostly surface signal </li>
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<li>\(T_{b,1} - T_{b,2}\) isolates atmospheric abosrption</li>
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<li>A linear combination cancels first-order atmospheric effects.</li>
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</ul>
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<p>These coefficients \(a_0\), \(a_1\), \(a_2\) are determined from radiative transfer simulations, regression against in-situ SST,
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or analytical approximation from the linearized forward model
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</p>
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<p>Many operational algorithms use: </p>
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$$T_s = T_{b,1} + c_1 (T_{b,1} - T_{b,2}) +c_0$$
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and sometimes additional terms are added, for example:
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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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That is the split-window SST equation.
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</li>
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