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MODIS Atmosphere Products MODIS Atmosphere Products Michael D. King Michael D. King NASA Goddard Space Flight Center NASA Goddard Space Flight Center MODIS atmosphere products MODIS atmosphere products Contents and changes in

  1. MODIS Atmosphere Products MODIS Atmosphere Products Michael D. King Michael D. King NASA Goddard Space Flight Center NASA Goddard Space Flight Center  MODIS atmosphere products MODIS atmosphere products  – Contents and changes in Collection 5 Contents and changes in Collection 5 – – Examples from Aqua ( Examples from Aqua (Collection 5 Collection 5) ) –  Cloud fraction Cloud fraction   Cloud top properties Cloud top properties   Cloud optical & microphysical properties Cloud optical & microphysical properties  » Uncertainties » Uncertainties » Multilayer flag Multilayer flag »  Aerosol properties Aerosol properties  » Deep blue algorithm for desert surfaces » Deep blue algorithm for desert surfaces  Water vapor Water vapor   Zonal cross sections Zonal cross sections  – Probability density functions ( Probability density functions (Collection 4 Collection 4) ) –  Collection 5 Collection 5  – Processing schedule Processing schedule –

  2. Gridded Level-3 Joint Atmosphere Products Gridded Level-3 Joint Atmosphere Products (M. D. King, S. Platnick, P. A. Hubanks – – NASA GSFC) NASA GSFC) (M. D. King, S. Platnick, P. A. Hubanks  Daily, 8-day, and monthly products (97, 255, 255 MB) Daily, 8-day, and monthly products (97, 255, 255 MB)  – 20-25% of the size of these products in Collection 4 20-25% of the size of these products in Collection 4 – – – Files contain more SDSs, but are stored with Files contain more SDSs, but are stored with internal hdf compression internal hdf compression  1° 1° × 1° equal angle grid × 1° equal angle grid   Statistics Statistics  – Mean, standard deviation, minimum, maximum Mean, standard deviation, minimum, maximum – – QA mean, QA standard deviation QA mean, QA standard deviation – – Cloud fraction, pixel counts Cloud fraction, pixel counts – – Log mean, log standard deviation (useful for cloud inhomogeneity studies) Log mean, log standard deviation (useful for cloud inhomogeneity studies) – – Mean uncertainty, QA mean uncertainty Mean uncertainty, QA mean uncertainty – – Marginal probability density functions for cloud properties Marginal probability density functions for cloud properties –  Histogram counts, confidence histograms Histogram counts, confidence histograms  – Joint probability density functions Joint probability density functions –  Joint histograms between various cloud properties (e.g., cloud optical thickness Joint histograms between various cloud properties (e.g., cloud optical thickness  vs vs cloud top pressure) cloud top pressure)

  3. Daily Global (08_D3) statistics from Daily Global (08_D3) statistics from Cloud (06_L2) Cloud (06_L2) Collection 5 Updates Collection 5 Updates Added Added Renamed Renamed Deleted Deleted – Cloud Optical Properties Cloud Optical Properties –  Primary Retrieval Primary Retrieval  Full details at Full details at modis-atmos modis-atmos.gsfc.nasa.gov .gsfc.nasa.gov

  4. Monthly Mean Cloud Fraction Monthly Mean Cloud Fraction (S. A. Ackerman, R. A. Frey et al. – – Univ Univ. Wisconsin) . Wisconsin) (S. A. Ackerman, R. A. Frey et al. April 2005 ( April 2005 (Collection 5 Collection 5) ) Aqua Aqua

  5. Zonal Mean Cloud Fraction Zonal Mean Cloud Fraction (S. A. Ackerman, R. A. Frey et al. – – Univ Univ. Wisconsin) . Wisconsin) (S. A. Ackerman, R. A. Frey et al. April 2005 ( April 2005 (Collection 5 Collection 5) ) Aqua Aqua

  6. Time Series of Cloud Fraction during the Daytime Time Series of Cloud Fraction during the Daytime (M. D. King, S. Platnick et al. – – NASA GSFC) NASA GSFC) (M. D. King, S. Platnick et al. July 2002 - July 2004 July 2002 - July 2004

  7. Monthly Mean Cloud Top Properties Monthly Mean Cloud Top Properties (W. P. Menzel, R. A. Frey et al. Frey et al. – – NOAA, NOAA, Univ Univ. Wisconsin) . Wisconsin) (W. P. Menzel, R. A. April 2005 ( April 2005 (Collection 5 Collection 5) ) Aqua Aqua

  8. Zonal Mean Cloud Top Pressure Zonal Mean Cloud Top Pressure (W. P. Menzel, R. A. Frey et al. Frey et al. – – NOAA, NOAA, Univ Univ. Wisconsin) . Wisconsin) (W. P. Menzel, R. A. April 2005 ( April 2005 (Collection 5 Collection 5) ) Aqua Aqua

  9. Monthly Mean Cloud Fraction by Phase Monthly Mean Cloud Fraction by Phase (M. D. King, S. Platnick et al. – – NASA GSFC) NASA GSFC) (M. D. King, S. Platnick et al. July 2006 ( July 2006 (Collection 5 Collection 5) ) Terra Terra

  10. Monthly Mean Cloud Optical Thickness Monthly Mean Cloud Optical Thickness (M. D. King, S. Platnick et al. – – NASA GSFC) NASA GSFC) (M. D. King, S. Platnick et al. April 2005 ( April 2005 (Collection 5 Collection 5) ) Aqua ( (QA Mean QA Mean) ) Aqua

  11. Zonal Mean Cloud Optical Thickness Zonal Mean Cloud Optical Thickness (M. D. King, S. Platnick et al. – – NASA GSFC) NASA GSFC) (M. D. King, S. Platnick et al. April 2005 ( April 2005 (Collection 5 Collection 5) ) Aqua Aqua

  12. Monthly Mean Cloud Effective Radius Monthly Mean Cloud Effective Radius (M. D. King, S. Platnick et al. – – NASA GSFC) NASA GSFC) (M. D. King, S. Platnick et al. April 2005 ( April 2005 (Collection 5 Collection 5) ) Aqua ( (QA Mean QA Mean) ) Aqua

  13. Zonal Mean Cloud Effective Radius Zonal Mean Cloud Effective Radius (M. D. King, S. Platnick et al. – – NASA GSFC) NASA GSFC) (M. D. King, S. Platnick et al. April 2005 ( April 2005 (Collection 5 Collection 5) ) Aqua Aqua

  14. Cloud Optical Thickness Uncertainties Cloud Optical Thickness Uncertainties (S. Platnick, R. Pincus, M. D. King et al. – – NASA GSFC, NOAA CDC) NASA GSFC, NOAA CDC) (S. Platnick, R. Pincus, M. D. King et al. Liquid Water Cloud ( Liquid Water Cloud (Collection 5 Collection 5) ) / τ (%) c / c (%) Δτ Δτ c τ c Daily Aggregation (Aqua) Daily Aggregation (Aqua) ( (correlation between pixels = 1 correlation between pixels = 1) ) Monthly Aggregation (Aqua) Monthly Aggregation (Aqua) (daily uncertainties uncorrelated daily uncertainties uncorrelated) ) (

  15. Cloud Effective Radius Uncertainties Cloud Effective Radius Uncertainties (S. Platnick, R. Pincus, M. D. King et al. – – NASA GSFC, NOAA CDC) NASA GSFC, NOAA CDC) (S. Platnick, R. Pincus, M. D. King et al. Liquid Water Cloud ( Liquid Water Cloud (Collection 5 Collection 5) ) r e / r e (%) Δ r e / r e (%) Δ Daily Aggregation (Aqua) Daily Aggregation (Aqua) (correlation between pixels = 1 ( correlation between pixels = 1) ) Monthly Aggregation (Aqua) Monthly Aggregation (Aqua) (daily uncertainties uncorrelated daily uncertainties uncorrelated) ) (

  16. Multilayer Cloud Flag Multilayer Cloud Flag (S. Platnick, M. D. King et al. – – NASA GSFC) NASA GSFC) (S. Platnick, M. D. King et al. April 2005 ( April 2005 (Collection 5 Collection 5) ) Aqua Aqua

  17. California / California Current Regime California / California Current Regime Monthly Joint Histogram Counts of Liquid Water Clouds over Ocean Monthly Joint Histogram Counts of Liquid Water Clouds over Ocean 32°-40°N, 117°-125°W 32°-40°N, 117°-125°W June 2003 June 2003 Terra/MODIS (AM Overpass) Aqua/MODIS (PM Overpass) Terra/MODIS Aqua/MODIS (AM Overpass) (PM Overpass) 50 50 50 50 40 40 40 40 Cloud Optical Thickness Cloud Optical Thickness 30 30 30 30 20 20 20 20 15 15 15 15 10 10 10 10 8 8 8 8 6 6 6 6 4 4 4 4 2 2 2 2 0 0 0 0 2 4 6 8 10 12.5 15 17.5 17.5 20 25 30 2 4 6 8 10 12.5 15 17.5 20 25 30 2 4 6 8 10 12.5 15 20 25 30 2 4 6 8 10 12.5 15 17.5 20 25 30 Cloud Effective Radius ( µ m) Cloud Effective Radius ( µ m) Cloud Effective Radius ( µ m) Cloud Effective Radius ( µ m)

  18. Monthly Mean Aerosol Optical Properties Monthly Mean Aerosol Optical Properties (L. A. Remer, Y. J. Kaufman, and D. Tanré é et al. et al. – – GSFC, GSFC, Univ Univ. Lille) . Lille) (L. A. Remer, Y. J. Kaufman, and D. Tanr April 2005 ( April 2005 (Collection 5 Collection 5) ) Aqua Aqua

  19. Zonal Mean Aerosol Optical Thickness Zonal Mean Aerosol Optical Thickness (L. A. Remer, Y. J. Kaufman, and D. Tanré é et al. et al. – – GSFC, GSFC, Univ Univ. Lille) . Lille) (L. A. Remer, Y. J. Kaufman, and D. Tanr April 2005 ( April 2005 (Collection 5 Collection 5) ) Aqua Aqua

  20. Deep Blue Algorithm for SeaWiFS & MODIS Deep Blue Algorithm for SeaWiFS & MODIS (N. C. Hsu, S. C. Tsay, M. D. King, and J. R. Herman – – NASA GSFC) NASA GSFC) (N. C. Hsu, S. C. Tsay, M. D. King, and J. R. Herman  Utilize solar reflectance at Utilize solar reflectance at λ = 412, 490, λ = 412, 490,  and 670 nm to retrieve aerosol optical and 670 nm to retrieve aerosol optical thickness ( τ thickness ( a ) and single scattering albedo ) and single scattering albedo τ a ( ω ) ( o ) ω o  Less sensitive to aerosol height, compared Less sensitive to aerosol height, compared  to UV methods to UV methods  Works well on retrieving aerosol properties Works well on retrieving aerosol properties  over various types of surfaces, including over various types of surfaces, including very bright desert very bright desert Hsu et al. (2004) Hsu et al. (2004)

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