Second‐generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance
Identifieur interne : 004B86 ( Main/Exploration ); précédent : 004B85; suivant : 004B87Second‐generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance
Auteurs : Robert C. Levy [États-Unis] ; Lorraine A. Remer [États-Unis] ; Shana Mattoo [États-Unis] ; Eric F. Vermote [États-Unis] ; Yoram J. Kaufman [États-Unis]Source :
- Journal of Geophysical Research: Atmospheres [ 0148-0227 ] ; 2007-07-16.
English descriptors
- Teeft :
- Aeronet, Aeronet data, Aerosol, Aerosol model, Aerosol models, Aerosol products, Aerosol properties, Aerosol type, Algorithm, Angstrom, Angstrom exponent, Aqua, Atmospheric correction, Atmospheric corrections, Atmospheric path reflectance, Climate change, Coarse mode, College park, Dark pixels, Discrete values, Dubovik, Error bars, Exponent, Fine mode, Fitting error, Geometrical, Geometrical combinations, Geophys, Geosci, Granule, Ieee, Ieee trans, Inversion, Joint land, Kaufman, Lett, Levy, Lookup table, Moderate resolution imaging spectroradiometer, Modis, Modis aerosol, Modis aerosol products, Modis channels, Modis observations, Modis products, Modis retrieval, Modis retrievals, Ndviswir, Ocean algorithm, Operational algorithm, Optical depth, Optical properties, Other words, Parameterization, Path reflectance, Pixel, Primary products, Radiance measurements, Radiative, Random error, Rayleigh, Reflectance, Relative azimuth angles, Remer, Remote sens, Retrieval, Retrieving, Sens, Sensitivity study, Simultaneous inversion, Size distribution, Solar zenith angle, Spectral reflectance, Spectroradiometer, Spheroid, Spheroid assumptions, Standard deviation, Surface reflectance, Surface reflectance assumptions, Surface reflectance parameterization, Surface reflectance relationship, Surface reflectance relationships, Surface type, Tanre, Trans, Validation, Vegetation index, Wavelength.
Abstract
Since first light in early 2000, operational global quantitative retrievals of aerosol properties over land have been made from Moderate Resolution Imaging Spectroradiometer (MODIS) observed spectral reflectance. These products have been continuously evaluated and validated, and opportunities for improvements have been noted. We have replaced the surface reflectance assumptions, the set of aerosol model optical properties, and the aerosol lookup table (LUT). This second‐generation operational algorithm performs a simultaneous inversion of two visible (0.47 and 0.66 μm) and one shortwave‐IR (2.12 μm) channel, making use of the coarse aerosol information content contained in the 2.12 μm channel. Inversion of the three channels yields three nearly independent parameters, the aerosol optical depth (τ) at 0.55 μm, the nondust or fine weighting (η), and the surface reflectance at 2.12 μm. Retrievals of small‐magnitude negative τ values (down to −0.05) are considered valid, thus balancing the statistics of τ in near zero τ conditions. Preliminary validation of this algorithm shows much improved retrievals of τ, where the MODIS/Aerosol Robotic Network τ (at 0.55 μm) regression has an equation of: y = 1.01x + 0.03, R = 0.90. Global mean τ for the test bed is reduced from ∼0.28 to ∼0.21.
Url:
DOI: 10.1029/2006JD007811
Affiliations:
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Vermote</name><affiliation wicri:level="4"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Geography, University of Maryland, Maryland, College Park</wicri:regionArea><orgName type="university">Université du Maryland</orgName><placeName><settlement type="city">College Park (Maryland)</settlement><region type="state">Maryland</region></placeName></affiliation></author><author><name sortKey="Kaufman, Yoram J" sort="Kaufman, Yoram J" uniqKey="Kaufman Y" first="Yoram J." last="Kaufman">Yoram J. Kaufman</name><affiliation wicri:level="1"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Laboratory for Atmospheres, NASA Goddard Space Flight Center, Maryland, Greenbelt</wicri:regionArea><wicri:noRegion>Greenbelt</wicri:noRegion></affiliation></author></analytic><monogr></monogr><series><title level="j" type="main">Journal of Geophysical Research: Atmospheres</title><title level="j" type="alt">JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES</title><idno type="ISSN">0148-0227</idno><idno type="eISSN">2156-2202</idno><imprint><biblScope unit="vol">112</biblScope><biblScope unit="issue">D13</biblScope><biblScope unit="page-count">21</biblScope><date type="published" when="2007-07-16">2007-07-16</date></imprint><idno type="ISSN">0148-0227</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0148-0227</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="Teeft" xml:lang="en"><term>Aeronet</term><term>Aeronet data</term><term>Aerosol</term><term>Aerosol model</term><term>Aerosol models</term><term>Aerosol products</term><term>Aerosol properties</term><term>Aerosol type</term><term>Algorithm</term><term>Angstrom</term><term>Angstrom exponent</term><term>Aqua</term><term>Atmospheric correction</term><term>Atmospheric corrections</term><term>Atmospheric path reflectance</term><term>Climate change</term><term>Coarse mode</term><term>College park</term><term>Dark pixels</term><term>Discrete values</term><term>Dubovik</term><term>Error bars</term><term>Exponent</term><term>Fine mode</term><term>Fitting error</term><term>Geometrical</term><term>Geometrical combinations</term><term>Geophys</term><term>Geosci</term><term>Granule</term><term>Ieee</term><term>Ieee trans</term><term>Inversion</term><term>Joint land</term><term>Kaufman</term><term>Lett</term><term>Levy</term><term>Lookup table</term><term>Moderate resolution imaging spectroradiometer</term><term>Modis</term><term>Modis aerosol</term><term>Modis aerosol products</term><term>Modis channels</term><term>Modis observations</term><term>Modis products</term><term>Modis retrieval</term><term>Modis retrievals</term><term>Ndviswir</term><term>Ocean algorithm</term><term>Operational algorithm</term><term>Optical depth</term><term>Optical properties</term><term>Other words</term><term>Parameterization</term><term>Path reflectance</term><term>Pixel</term><term>Primary products</term><term>Radiance measurements</term><term>Radiative</term><term>Random error</term><term>Rayleigh</term><term>Reflectance</term><term>Relative azimuth angles</term><term>Remer</term><term>Remote sens</term><term>Retrieval</term><term>Retrieving</term><term>Sens</term><term>Sensitivity study</term><term>Simultaneous inversion</term><term>Size distribution</term><term>Solar zenith angle</term><term>Spectral reflectance</term><term>Spectroradiometer</term><term>Spheroid</term><term>Spheroid assumptions</term><term>Standard deviation</term><term>Surface reflectance</term><term>Surface reflectance assumptions</term><term>Surface reflectance parameterization</term><term>Surface reflectance relationship</term><term>Surface reflectance relationships</term><term>Surface type</term><term>Tanre</term><term>Trans</term><term>Validation</term><term>Vegetation index</term><term>Wavelength</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract">Since first light in early 2000, operational global quantitative retrievals of aerosol properties over land have been made from Moderate Resolution Imaging Spectroradiometer (MODIS) observed spectral reflectance. These products have been continuously evaluated and validated, and opportunities for improvements have been noted. We have replaced the surface reflectance assumptions, the set of aerosol model optical properties, and the aerosol lookup table (LUT). This second‐generation operational algorithm performs a simultaneous inversion of two visible (0.47 and 0.66 μm) and one shortwave‐IR (2.12 μm) channel, making use of the coarse aerosol information content contained in the 2.12 μm channel. Inversion of the three channels yields three nearly independent parameters, the aerosol optical depth (τ) at 0.55 μm, the nondust or fine weighting (η), and the surface reflectance at 2.12 μm. Retrievals of small‐magnitude negative τ values (down to −0.05) are considered valid, thus balancing the statistics of τ in near zero τ conditions. Preliminary validation of this algorithm shows much improved retrievals of τ, where the MODIS/Aerosol Robotic Network τ (at 0.55 μm) regression has an equation of: y = 1.01x + 0.03, R = 0.90. Global mean τ for the test bed is reduced from ∼0.28 to ∼0.21.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Maryland</li></region><settlement><li>College Park (Maryland)</li></settlement><orgName><li>Université du Maryland</li></orgName></list><tree><country name="États-Unis"><region name="Maryland"><name sortKey="Levy, Robert C" sort="Levy, Robert C" uniqKey="Levy R" first="Robert C." last="Levy">Robert C. Levy</name></region><name sortKey="Kaufman, Yoram J" sort="Kaufman, Yoram J" uniqKey="Kaufman Y" first="Yoram J." last="Kaufman">Yoram J. Kaufman</name><name sortKey="Levy, Robert C" sort="Levy, Robert C" uniqKey="Levy R" first="Robert C." last="Levy">Robert C. Levy</name><name sortKey="Levy, Robert C" sort="Levy, Robert C" uniqKey="Levy R" first="Robert C." last="Levy">Robert C. Levy</name><name sortKey="Mattoo, Shana" sort="Mattoo, Shana" uniqKey="Mattoo S" first="Shana" last="Mattoo">Shana Mattoo</name><name sortKey="Mattoo, Shana" sort="Mattoo, Shana" uniqKey="Mattoo S" first="Shana" last="Mattoo">Shana Mattoo</name><name sortKey="Remer, Lorraine A" sort="Remer, Lorraine A" uniqKey="Remer L" first="Lorraine A." last="Remer">Lorraine A. Remer</name><name sortKey="Vermote, Eric F" sort="Vermote, Eric F" uniqKey="Vermote E" first="Eric F." last="Vermote">Eric F. Vermote</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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