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Clouds, Aerosols, and Atmospheric Composition from Satellites <ul><li>Cloud optical, microphysical, and radiative properti...
MODIS Cloud Mask ( MOD35/MYD35 ) (S. A. Ackerman, W. P. Menzel, R. A. Frey, K. I. Strabala - U. Wisc.) <ul><li>MODIS cloud...
Terra/MODIS Cloud Mask   (S. A. Ackerman, W. P. Menzel – NOAA/NESDIS, Univ. Wisconsin) True Color Composite (0.65, 0.56, 0...
Monthly Mean Cloud Fraction during Daytime (M. D. King, S. Platnick et al. – NASA GSFC) April 2003 ( Collection 4 )
Zonal Mean Cloud Fraction during Daytime (M. D. King, S. Platnick et al. – NASA GSFC) April 2004 ( Collection 4 ) 1.0 Clou...
Time Series of Cloud Fraction during the Daytime (M. D. King, S. Platnick et al. – NASA GSFC) 1.0 0.0 0.4 0.9 0.8 0.6 0.5 ...
Combined Elevation and Atmospheric Data <ul><li>An ICESat first day track (2/20/03) across Antarctica </li></ul>Vertical e...
GLAS Global Cloud Cover (J. D. Spinhirne et al. – NASA GSFC) October 16-November 16, 2003 70% Global Cloud Cover 45% Singl...
MODIS Cloud Product ( MOD06/MYD06 )  (M. D. King, S. Platnick, W. P. Menzel, B. C. Gao – GSFC, NOAA, NRL) <ul><li>Cloud ph...
Terra/MODIS Cloud Thermodynamic Phase   (M. D. King, S. Platnick, J. Ri édi et al.  – NASA GSFC, U. Lille) True Color Comp...
Terra/MODIS Cloud Top Pressure and Temperature   (W. P. Menzel – NOAA/NESDIS, Univ. Wisconsin) 600 800 100 200 300 1000 40...
Spatially Complete Spectral Albedo Maps (E. G. Moody, M. D. King, S. Platnick, C. B. Schaaf, F. Gao – GSFC, BU) Moody et a...
Snow Albedo by Forest Ecosystems Northern Hemisphere Multiyear Average (2000-2004)
Snow Albedo for Sparse Vegetation Ecosystems Northern Hemisphere Multiyear Average (2000-2004)
Spatially Complete White-Sky Albedo January 1-16, 2002 0.6 0.8 0.0 0.2 Surface Albedo (0.86 µm) 0.4 Snow-free Snow-covered
Cloud Optical Thickness and Effective Radius   (M. D. King, S. Platnick – NASA GSFC) Ice Clouds 100 100 1 1 10 10 30 Cloud...
Cloud Optical Thickness and Effective Radius Uncertainty Cloud Optical Thickness Uncertainty (%) Cloud Effective Radius Un...
Monthly Mean Cloud Effective Radius (M. D. King, S. Platnick et al. – NASA GSFC) April 2003 ( Collection 4 ) QA Mean
California / California Current Regime Monthly Joint Histogram Counts of Liquid Water Clouds over Ocean 32°-40°N, 117°-125...
MODIS Aerosol Product ( MOD04/MYD04 ) (Y. J. Kaufman, L. A. Remer, D. Tanré - NASA GSFC, Univ. Lille) <ul><li>Seven MODIS ...
Terra/MODIS Aerosol Optical Thickness    (Y. J. Kaufman, L. A. Remer, D. Tanré - NASA GSFC, Univ. Lille) King et al. (2003...
MODIS Monthly Mean Aerosol Optical Thickness (Y. J. Kaufman, D. Tanré, L. A. Remer – NASA GSFC, Univ. of Lille) <ul><li>Fi...
Deep Blue Algorithm for SeaWiFS & MODIS (N. C. Hsu, S. C. Tsay, M. D. King, and J. R. Herman – NASA GSFC) <ul><li>Utilize ...
Aerosol Optical Thickness of Dust plumes in Africa  (N. C. Hsu, S. C. Tsay, M. D. King, and J. R. Herman – NASA GSFC) Hsu ...
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Eumetsat 09 2005(30mb+) 2

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  • Transcript of "Eumetsat 09 2005(30mb+) 2"

    1. 1. Clouds, Aerosols, and Atmospheric Composition from Satellites <ul><li>Cloud optical, microphysical, and radiative properties </li></ul><ul><ul><li>Terra, Aqua, ICESat </li></ul></ul><ul><li>Aerosol optical and microphysical properties </li></ul><ul><ul><li>Terra, Aqua, SeaWiFS </li></ul></ul><ul><li>Atmospheric profiles </li></ul><ul><ul><li>Terra, Aqua </li></ul></ul><ul><li>Summary and resources </li></ul><ul><ul><li>Data availability </li></ul></ul><ul><ul><li>Collection 5 reprocessing schedule </li></ul></ul>Michael D. King EOS Senior Project Scientist NASA Goddard Space Flight Center
    2. 2. MODIS Cloud Mask ( MOD35/MYD35 ) (S. A. Ackerman, W. P. Menzel, R. A. Frey, K. I. Strabala - U. Wisc.) <ul><li>MODIS cloud mask uses multispectral imagery to indicate whether the scene is clear, cloudy, or affected by shadows </li></ul><ul><li>Cloud mask is input to many atmosphere and land algorithms </li></ul><ul><li>Mask is generated at 250 m and 1 km resolutions </li></ul><ul><li>Mask uses 20 spectral bands ranging from 0.55-13.93 µm </li></ul><ul><ul><li>11 different spectral tests are performed, with different tests being conducted over each of 5 different domains (land, ocean, coast, snow, and desert) </li></ul></ul><ul><ul><li>Temporal consistency test is run over the oceans </li></ul></ul><ul><ul><li>Spatial variability is run over the oceans </li></ul></ul><ul><li>Algorithm based on radiance thresholds in the infrared, and reflectance and reflectance ratio thresholds in the visible and near-infrared </li></ul><ul><li>Cloud mask consists of 48 bits of information for each pixel, including results of individual tests and the processing path used </li></ul><ul><ul><li>Bits 1 & 2 give combined results (confident clear, probably clear, probably cloudy, cloudy) </li></ul></ul>
    3. 3. Terra/MODIS Cloud Mask (S. A. Ackerman, W. P. Menzel – NOAA/NESDIS, Univ. Wisconsin) True Color Composite (0.65, 0.56, 0.47) King et al. (2003) Cloud Mask June 4, 2001 Confident Clear Probably Clear Cloudy Probably Cloudy
    4. 4. Monthly Mean Cloud Fraction during Daytime (M. D. King, S. Platnick et al. – NASA GSFC) April 2003 ( Collection 4 )
    5. 5. Zonal Mean Cloud Fraction during Daytime (M. D. King, S. Platnick et al. – NASA GSFC) April 2004 ( Collection 4 ) 1.0 Cloud Fraction (Daytime) 0.0 0.4 -90 0.9 0.8 0.6 0.5 0.2 -60 -30 0 30 60 90 Latitude 0.7 0.3 0.1 Terra Aqua Ocean Land
    6. 6. Time Series of Cloud Fraction during the Daytime (M. D. King, S. Platnick et al. – NASA GSFC) 1.0 0.0 0.4 0.9 0.8 0.6 0.5 0.2 0.7 0.3 0.1 Cloud Fraction (Daytime) Jul02 Sep02 Nov02 Jan03 Mar03 May03 Jul03 Sep03 Nov03 Jan04 Mar04 May04 Jul04 Terra Aqua
    7. 7. Combined Elevation and Atmospheric Data <ul><li>An ICESat first day track (2/20/03) across Antarctica </li></ul>Vertical exaggeration 50x, 1064 nm data only, RADARSAT mosaic image from CSA
    8. 8. GLAS Global Cloud Cover (J. D. Spinhirne et al. – NASA GSFC) October 16-November 16, 2003 70% Global Cloud Cover 45% Single Layer Cloud Cover 25% Multiple Layer Cloud Cover 1.0 0.0 Cumulative Frequency 0.6 0.4 0.8 0.2 Number of Layers 0 1 2 3 4 5
    9. 9. MODIS Cloud Product ( MOD06/MYD06 ) (M. D. King, S. Platnick, W. P. Menzel, B. C. Gao – GSFC, NOAA, NRL) <ul><li>Cloud physical, radiative, and microphysical properties </li></ul><ul><ul><li>Cloud top pressure, temperature, and effective emissivity </li></ul></ul><ul><ul><ul><li>CO 2 slicing for middle and high clouds ( p c < 700 hPa ) </li></ul></ul></ul><ul><ul><ul><li>11 µm brightness temperature for low clouds </li></ul></ul></ul><ul><ul><li>Cloud optical thickness, thermodynamic phase, and effective radius </li></ul></ul><ul><ul><ul><li>Cloud phase determined from cloud mask tests, bispectral threshold (8.5 & 11 µm), and shortwave infrared tests (1.6 and 2.1 µm) </li></ul></ul></ul><ul><ul><ul><li>Surface reflectance from MODIS ecosystem and albedo products </li></ul></ul></ul><ul><ul><ul><li>Solar reflectance technique using visible through midwave infrared bands </li></ul></ul></ul><ul><ul><ul><ul><li>Effective radius determined separately using 1.6, 2.1 (baseline), and 3.7 µm bands </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Effective radius and optical thickness computed using alternative 1.6 and 2.1 µm algorithm for ocean and snow/sea ice surfaces ( new in collection 5 ) </li></ul></ul></ul></ul><ul><ul><li>Thin cirrus reflectance in the visible </li></ul></ul><ul><ul><ul><li>Uses 1.38 µm band to determine thin cirrus and then estimates cirrus reflectance at visible bands </li></ul></ul></ul>
    10. 10. Terra/MODIS Cloud Thermodynamic Phase (M. D. King, S. Platnick, J. Ri édi et al. – NASA GSFC, U. Lille) True Color Composite (0.65, 0.56, 0.47) Ice Clouds Liquid Clear Sky Ice Uncertain Thermodynamic Phase Water Clouds Collection 5 March 22, 2001
    11. 11. Terra/MODIS Cloud Top Pressure and Temperature (W. P. Menzel – NOAA/NESDIS, Univ. Wisconsin) 600 800 100 200 300 1000 400 Cloud Top Pressure (hPa) Cloud Top Temperature (K) Collection 5 Cloud Top Pressure (hPa) Cloud Top Temperature (K) 250 275 150 175 200 300 225
    12. 12. Spatially Complete Spectral Albedo Maps (E. G. Moody, M. D. King, S. Platnick, C. B. Schaaf, F. Gao – GSFC, BU) Moody et al. (2005) Moody et al. (2005)
    13. 13. Snow Albedo by Forest Ecosystems Northern Hemisphere Multiyear Average (2000-2004)
    14. 14. Snow Albedo for Sparse Vegetation Ecosystems Northern Hemisphere Multiyear Average (2000-2004)
    15. 15. Spatially Complete White-Sky Albedo January 1-16, 2002 0.6 0.8 0.0 0.2 Surface Albedo (0.86 µm) 0.4 Snow-free Snow-covered
    16. 16. Cloud Optical Thickness and Effective Radius (M. D. King, S. Platnick – NASA GSFC) Ice Clouds 100 100 1 1 10 10 30 Cloud Optical Thickness Cloud Effective Radius (µm) Ice Clouds 60 6 2 16 33 51 15 9 23 Water Clouds Water Clouds Collection 5 24 42
    17. 17. Cloud Optical Thickness and Effective Radius Uncertainty Cloud Optical Thickness Uncertainty (%) Cloud Effective Radius Uncertainty (µm) 1 100 Uncertainty (%) Collection 5 March 22, 2001 10
    18. 18. Monthly Mean Cloud Effective Radius (M. D. King, S. Platnick et al. – NASA GSFC) April 2003 ( Collection 4 ) QA Mean
    19. 19. California / California Current Regime Monthly Joint Histogram Counts of Liquid Water Clouds over Ocean 32°-40°N, 117°-125°W June 2003 Terra/MODIS (AM Overpass) Aqua/MODIS (PM Overpass) Cloud Optical Thickness 10 50 40 30 20 15 8 6 4 2 0 Cloud Effective Radius (µm) Cloud Effective Radius (µm) 2 4 6 8 10 12.5 15 17.5 25 20 30 2 4 6 8 10 12.5 15 17.5 25 20 30 10 50 40 30 20 15 8 6 4 2 0
    20. 20. MODIS Aerosol Product ( MOD04/MYD04 ) (Y. J. Kaufman, L. A. Remer, D. Tanré - NASA GSFC, Univ. Lille) <ul><li>Seven MODIS bands are utilized to derive aerosol properties </li></ul><ul><ul><li>0.47, 0.55, 0.65, 0.86, 1.24, 1.64, and 2.13 µm </li></ul></ul><ul><ul><li>Ocean </li></ul></ul><ul><ul><ul><li>reflectance contrast between cloud-free atmosphere and ocean reflectance (dark) </li></ul></ul></ul><ul><ul><ul><li>aerosol optical thickness (0.55-2.13 µm) </li></ul></ul></ul><ul><ul><ul><li>size distribution characteristics (fraction of aerosol optical thickness in the fine particle mode; effective radius) </li></ul></ul></ul><ul><ul><li>Land </li></ul></ul><ul><ul><ul><li>dense dark vegetation and semi-arid regions determined where aerosol is most transparent (2.13 µm) </li></ul></ul></ul><ul><ul><ul><li>contrast between Earth-atmosphere reflectance and that for dense dark vegetation surface (0.47 and 0.66 µm) </li></ul></ul></ul><ul><ul><ul><li>aerosol optical thickness (0.47 and 0.66 µm) </li></ul></ul></ul><ul><ul><ul><li>fraction of aerosol optical thickness in the fine particle mode </li></ul></ul></ul>
    21. 21. Terra/MODIS Aerosol Optical Thickness (Y. J. Kaufman, L. A. Remer, D. Tanré - NASA GSFC, Univ. Lille) King et al. (2003) 0.4 0.8 0.0 0.2 0.6 1.0 True Color Composite (0.65, 0.56, 0.47) Aerosol Optical Thickness  a (0.56 µm) May 4, 2001 sunglint
    22. 22. MODIS Monthly Mean Aerosol Optical Thickness (Y. J. Kaufman, D. Tanré, L. A. Remer – NASA GSFC, Univ. of Lille) <ul><li>Fine Mode </li></ul><ul><ul><li>Industrial pollution </li></ul></ul><ul><ul><ul><li>China, India, US, Europe </li></ul></ul></ul><ul><ul><li>Smoke from biomass burning </li></ul></ul><ul><ul><ul><li>Brazil and Bolivia </li></ul></ul></ul><ul><ul><ul><li>southern Africa (DRC, Angola, Zambia) </li></ul></ul></ul><ul><ul><ul><li>Australia, Borneo </li></ul></ul></ul><ul><li>Coarse Mode </li></ul><ul><ul><li>Desert dust </li></ul></ul><ul><ul><ul><li>Sahara, Arabian Sea </li></ul></ul></ul><ul><ul><li>Sea salt </li></ul></ul><ul><ul><ul><li>Southern ocean </li></ul></ul></ul>Terra September 2000
    23. 23. Deep Blue Algorithm for SeaWiFS & MODIS (N. C. Hsu, S. C. Tsay, M. D. King, and J. R. Herman – NASA GSFC) <ul><li>Utilize solar reflectance at  = 412, 490, and 670 nm to retrieve aerosol optical thickness (  a ) and single scattering albedo (  o ) </li></ul><ul><li>Less sensitive to aerosol height, compared to UV methods </li></ul><ul><li>Works well on retrieving aerosol properties over various types of surfaces, including very bright desert </li></ul>Hsu et al. (2004)
    24. 24. Aerosol Optical Thickness of Dust plumes in Africa (N. C. Hsu, S. C. Tsay, M. D. King, and J. R. Herman – NASA GSFC) Hsu et al. (2004) SeaWiFS Cloud Cloud
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