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Towards including M*D28 in SQUAM: Preliminary test using 1 day of data

M*D28 vs. ACSPO. Towards including M*D28 in SQUAM: Preliminary test using 1 day of data Sasha Ignatov, Xinjia Zhou, Prasanjit Dash. Objective. Include M*D28 SST in SST Quality Monitor http://www.star.nesdis.noaa.gov/sod/sst/squam/

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Towards including M*D28 in SQUAM: Preliminary test using 1 day of data

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  1. M*D28 vs. ACSPO Towards including M*D28 in SQUAM: Preliminary test using 1 day of data Sasha Ignatov, Xinjia Zhou, Prasanjit Dash M*D28 vs ACSPO

  2. Objective • Include M*D28 SST in SST Quality Monitor http://www.star.nesdis.noaa.gov/sod/sst/squam/ • Monitor in near-real time and back-fill from http://oceandata.sci.gsfc.nasa.gov/ • 1 day of global data (1 Oct 2013) processed in SQUAM and compared to ACSPO (stratified by Day/Night) • SST domain • Performance statistics relative to Reynolds SST and in situ SST from http://www.star.nesdis.noaa.gov/sod/sst/iquam/ M*D28 vs ACSPO

  3. Daytime Analyses M*D28 vs ACSPO

  4. Day: ACSPO L2 minus Reynolds L4 1 October 2013 • Deviation from Reference SST is flat & close to 0 • Residual Cloud/Aerosol leakages seen as cold spots M*D28 vs ACSPO

  5. Day: ACSPO L2 minus Reynolds L4 1 October 2013 • Deviation from Reference SST is flat & close to 0 • Residual Cloud/Aerosol leakages seen as cold spots M*D28 vs ACSPO

  6. Day: MOD28L2 minus Reynolds L4 1 October 2013 • Narrow swath width • More Cloud leakages than in ACSPO • Larger bias in high latitude M*D28 vs ACSPO

  7. Day: ACSPO L2 minus Reynolds L4 1 October 2013 • Deviation from Reference SST is flat & close to 0 • Residual Cloud/Aerosol leakages seen as cold spots M*D28 vs ACSPO

  8. Day: MOD28L2 minus Reynolds L4 1 October 2013 • Narrow swath width • More Cloud leakages than in ACSPO • Larger bias in high latitude M*D28 vs ACSPO

  9. Day: ACSPO L2 minus Reynolds L4 1 October 2013 • Shape close to Gaussian • Domain & Performance Stats close to expected M*D28 vs ACSPO

  10. Day: MOD28 L2 minus Reynolds L4 1 October 2013 • MOD28 sample -14% smaller compared to ACSPO • Comparable Mean/Med, 0.5K larger STDV/RSD M*D28 vs ACSPO

  11. Day: ACSPO L2 minus Reynolds L4 1 October 2013 • Shape close to Gaussian but there is a cold tail – residual cloud • Performance Stats better than specs M*D28 vs ACSPO

  12. Day: MOD28 L2 minus Reynolds L4 1 October 2013 • MOD28 match-up data set -16% smaller compared to ACSPO • increased Min/Max, STDV/RSD & Larger fraction of outliers M*D28 vs ACSPO

  13. Day 1 October 2013 – Summary ΔT = “MODIS minus Reynolds” SST (expected ~0) • MOD28 SST domain is -14% smaller, all Stats are degraded, compared to ACSPO ΔT = “MODIS minus in situ” SST (expected ~0) • IDPS SST in situ match-up is -16% smaller, all Stats compared to ACSPO M*D28 vs ACSPO

  14. NightAnalyses M*D28 vs ACSPO

  15. Night: ACSPO L2 minus Reynolds L4 1 October2013 • Deviation from Reference SST is flat & close to 0 • Residual Cloud/Aerosol leakages seen as cold spots • Warm spots show areas with diurnal warming during daytime M*D28 vs ACSPO

  16. Night: MOD28(SST4) L2 minus Reynolds L4 1 October 2013 • Narrow swath width • More Cloud leakages than in ACSPO • Larger bias in high latitude M*D28 vs ACSPO

  17. Night: ACSPO L2 minus Reynolds L4 1 October2013 (repeat) • Deviation from Reference SST is flat & close to 0 • Residual Cloud/Aerosol leakages seen as cold spots • Warm spots show areas with diurnal warming during daytime M*D28 vs ACSPO

  18. Night: MOD28(SST) L2 minus Reynolds L4 1 October 2013 • More coverage in high latitude than MOD SST4 M*D28 vs ACSPO

  19. Night: ACSPO L2 minus Reynolds L4 1 October2013 • Shape close to Gaussian but skewed positively due to diurnal warming • Domain & Performance Stats close to expected M*D28 vs ACSPO

  20. Night: MOD28(SST4) L2 minus Reynolds L4 1 October 2013 • MOD28 sample -34% smaller compared to ACSPO • Degraded STDV/RSD & Larger fraction of outliers M*D28 vs ACSPO

  21. Night: ACSPO L2 minus Reynolds L4 1 October2013 (repeat) • Shape close to Gaussian but skewed positively due to diurnal warming • Domain & Performance Stats close to expected M*D28 vs ACSPO

  22. Night: MOD28(SST) L2 minus Reynolds L4 1 October 2013 M*D28 vs ACSPO

  23. Night: ACSPO L2 minus Reynolds L4 1 October2013 • Shape close to Gaussian • Domain & Performance Stats better than spec M*D28 vs ACSPO

  24. Day: MOD28(SST4) L2 minus Reynolds L4 1 October 2013 • MODS28 match-up data set -43% smaller compared to ACSPO M*D28 vs ACSPO

  25. Night: ACSPO L2 minus Reynolds L4 1 October2013 (repeat) • Shape close to Gaussian • Domain & Performance Stats better than spec M*D28 vs ACSPO

  26. Day: MOD28(SST) L2 minus Reynolds L4 1 October 2013 M*D28 vs ACSPO

  27. Night 1 October 2013 – Summary ΔT = “MODIS minus Reynolds” SST (expected ~0) • MOD28 SST domain -35% smaller, SST4 is better than SST • Gap between Conventional and Robust stats wider in MOD28- More outliers ΔT = “MODIS minus in situ” SST (expected ~0) • MOD28 SST domain is -45% smaller, SST4 is better than SST • Gap between Conventional and Robust stats wider in IDPS - More outliers M*D28 vs ACSPO SST feedback to VCM 27

  28. Summary • Observations for both day and night • Degraded performance is in part due to narrower swath width • Day • MOD28 domain -14% smaller than ACSPO • Night • MOD28 domain -30% smaller than ACSPO, all SST stats degraded M*D28 vs ACSPO

  29. Questions • Sample number ratio between day time and night time is not close to 1. • Two night time products, SST and SST4, have different cloud mask and sample number. • Choose QL=0 only, is other QLs usable? M*D28 vs ACSPO

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