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Pathfinder –> MODIS -> VIIRS Evolution of a CDR

Pathfinder –> MODIS -> VIIRS Evolution of a CDR. Robert Evans, Peter Minnett, Guillermo Podesta Kay Kilpatrick (retired), Sue Walsh, Vicki Halliwell, Liz Williams OCRT – May 4-6, 2009. Standard SST Retrieval Equation (Pathfinder, MODIS and VIIRS).

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Pathfinder –> MODIS -> VIIRS Evolution of a CDR

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  1. Pathfinder –> MODIS -> VIIRS Evolution of a CDR Robert Evans, Peter Minnett, Guillermo Podesta Kay Kilpatrick (retired), Sue Walsh, Vicki Halliwell, Liz Williams OCRT – May 4-6, 2009

  2. Standard SST Retrieval Equation(Pathfinder, MODIS and VIIRS) • SST = a + b*T4 + c*(T4-T5)*Tsurface + d*(sec(q)-1)*(T4-T5) • where q is the zenith angle of the instrument • T4 and T5 are the brightness temperatures from AVHRR channels 4 and 5, or channels 31 and 32 for MODIS • Two set of monthly coefficients are determined for • T4 - T5 <= 0.7 (temperate to polar) • T4 - T5 > 0.7 (equatorial to temperate) • Quality Levels • Pathfinder defines eight quality level (0-7) where 7 indicates the highest confidence of an accurate retrieval, (0-3 for MODIS) • Current Challenges • Mid-high latitude seasonal anomalies, • Dust aerosols and high water vapor

  3. Pathfinder–HADSST2 residuals for 1982 through 2007, now includes NOAA-7 V5 Path – HadSST2(night)5.1 for N7 +N7 +N11 +N9 +N14 +N9 +N16 +N18 Operational AVHRR – HadSST2 (night) V5 Path – HadSST2(day) Operational AVHRR – HadSST2 (day)

  4. Next Generation SST Improvements • Minimize High Latitude Seasonal Oscillation • Approach: • Estimate Coefficients using 20o zonal bands centered at the Equator, ± 2.5o transition between bands - Coefficients estimated monthly and repeat for each year for a given sensor (volcano periods to be handled separately) - Reference SST – Reynolds ¼o, daily Uses AMSR, Pathfinder and In situ observations retains SST in high gradient regions New algorithms are first developed and tested for MODIS (improved sensor characterization and more stable operating environment) Latband algorithms will be transitioned to AVHRR as part of our SDS program

  5. Application of LATBAND to MODIS AQUA 11 μm SST MODIS algorithm produces a ‘skin temperature’ product Latband implementation removes seasonal residual oscillations Note high latitude seasonal oscillations Median of SST residuals (VALIDATION set) by quarter (2002-2008). Each line corresponds to a latitude band. Upper panel corresponds to latitude-specific SST residuals; lower panel is current SST (CSST).

  6. Application of LATBAND to MODIS AQUA 11 μm SST Latband S.D. order 0.4 Current algorithm S.D. order 0.5 Standard Deviation of SST residuals (VALIDATION set) by quarter (2002-2008). Each line corresponds to a latitude band. Upper panel corresponds to latitude-specific SST; lower panel is current MODIS SST retrieval-buoy (CSST).

  7. Next Generation MODIS + VIIRS SST algorithm • Reference SST field is the V2 daily, 0.25o Reynolds OI analysis that incorporates AMSR, Pathfinder and In Situ observations. • Use of this higher spatial and temporal resolution field enables retention of Pathfinder and MODIS retrievals in high gradient regions. • For MODIS and VIIRS, a 3band algorithm permits more accurate retrievals in regions of high water vapor and dust aerosols. • The 3band algorithm significantly minimizes the presence of cold fringes around clouds. • For MODIS (VIIRS TBD) the use of the 3-4 μm bands extends the available retrievals in the presence of high water vapor and dust aerosols relative to the coverage provided by the 11-12 μm bands.

  8. MODIS AQUA 2 and 3 band (8.6, 11, 12μ) Night - Latband SST- Quality 1 2 Band 02 Jul 06 Difference Field Reynolds V2- MODIS Yellow, Red MODIS Cold 3 Band, 02 Jul 06 Use of Q0 data removes cold retrievals

  9. MODIS AQUA SST4 2 & 3 band (Night) – (3.75, 3.95, 4.05 μm)Quality 1 (Reynolds V2 – MODIS) Latband 2 band Difference Field Reynolds V2- MODIS Yellow, Red MODIS Cold Latband 3 band

  10. Next generation MODIS SST algorithm results 02 JUL 06 Nighttime 4 um SST Using Latband + 3band algo 4um SST + cloudy areas filled with Reynolds V2

  11. Histograms comparing Latband retrievals for 2 and 3-band nighttime SST, MODIS AQUA night 02 Jul 06Reynolds V2 – (2 or 3) band Q0 residuals Histograms of MODIS AQUA SST residuals Latband algorithm has reduced cold residuals 3 band algorithm reduces cold retrievals Residuals calculated as Satellite - Buoy Top panel shows distribution of latitude SST residuals, bottom panel shows old SST (CSST). The vertical lines correspond to, from left to right, percentiles 0.05, 0.25, 0.50, 0.75, and 0.95. From MODIS satellite-in situ match-up database. Dashed curve is 2-band algorithm (‘cold tail’) Solid curve is 3-band algorithm (more symmetric) 2-band algorithm has increased number of colder retrievals

  12. AQUA MODIS Summary statistics for SST and SST4Referenced to Buoys Current Algorithm StdDev SST ~.45-0.50 SST4 ~ 0.38 – 0.40 Data Set Min Q1 Median Mean Q3 Max StdDev N Latitude SST Training -2.509 -0.399 -0.164 -0.178 0.056 2.114 0.387 75011 Validation -2.285 -0.403 -0.170 -0.181 0.055 2.348 0.389 40391 Dust SST Training -2.454 -0.432 -0.186 -0.182 0.041 1.646 0.362 75011 Validation -2.688 -0.403 -0.181 -0.180 0.044 1.742 0.363 40391 Latitude SST4 Training -2.218 -0.356 -0.177 -0.208 -0.017 2.237 0.346 81906 Validation -2.123 -0.358 -0.177 -0.208 -0.018 2.176 0.346 44104 Dust SST4 Training -2.577 -0.330 -0.198 -0.211 -0.072 0.903 0.240 81906 Validation -2.516 -0.329 -0.198 -0.211 -0.071 0.927 0.242 44104

  13. V6 MODIS & Pathfinder Status • SEADAS code base is being used to support MODIS and is being modified to support AVHRR Pathfinder, will facilitate distribution to interested users • MODIS Latband code recently delivered to GSFC for incorporation into SEADAS • For AVHRR • L2GEN Pathfinder (SEADAS) has been delivered to Ken Casey, will need to be integrated into current GSFC L2GEN version. Tested on N16, 17, 18 • Add GHRSST format output files including hypercube • Latband for NOAA sensors will be integrated when NOAA SDS funding becomes available

  14. Conclusions • New algorithm approaches (Latband) has resulted in a significant reduction of uncertainty in IR satellite SST retrievals • S.D. reduced from 0.5 to <0.4 for 11μm band retrievals, 0.4 to < 0.35 for 4μm band retrievals • Future implementation of 3 band algorithm for MODIS and VIIRS suggests that cold fringes around clouds and aerosols can be detected and correction in these conditions is significantly improved, S.D. ~0.36 @11um, ~0.24@4um. • Latband and 3 band algorithm approaches will be implemented for VIIRS. • AVHRR, MODIS and VIIRS satellite observations will be available through community accessible SEADAS programs. • Pathfinder processing is being transferred to NODC to ensure continued availability of the multi-decade Pathfinder SST time series.

  15. END

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