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Utilizing SSES for Enhanced Satellite Data Accuracy in GOES Retrievals

This research explores the use of SSES (Satellite System Estimation System) to refine the accuracy of GOES L2P (Level 2 Product) retrievals. By integrating additional information that cannot be derived from ancillary data alone, we analyze how retrieval bias correlates with clear-sky transmittance and air-sea temperature differences. Our findings suggest that the sensitivity to air-sea temperature variations increases as transmittance decreases, leading to a derived bias model based on offset and gradient terms. The results highlight the importance of considering these factors in accurate satellite data interpretation.

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Utilizing SSES for Enhanced Satellite Data Accuracy in GOES Retrievals

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  1. GOES-L2P SSES estimation • Using SSES to provide additional information that cannot be calculated from L2P ancillary data • 1st cut assumption is that retrieval bias depends on • Clear-sky transmittance (calculated from NCEP → CRTM) • Air-sea temperature difference (currently NCEP only) • Assume that sensitivity to Air-Sea Temperature Difference (ASTD) increases with decreasing transmittance • Derive bias = offset + gradientASTD for different 11 • Post-corrected σ is estimated as a function of transmittance only • Different for sensor/day/night

  2. Validity of Bias Assumption

  3. GOES-10 Offset termGradient termStd. Dev. term

  4. GOES-12 Offset termGradient termStd. Dev. term

  5. GOES-12 L2P N. Hem Mar 25 16:45 GOES-12 L2P N. Hem Mar 28 15:15 GOES-12 L2P N. Hem Mar 28 15:15 GOES-12 L2P N. Hem Mar 25 16:45

  6. GOES-12 L2P N. Hem Mar 28 15:15

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