New Aerosol Models for Ocean Color Retrievals Zia Ahmad NASA-Ocean Biology Processing Group (OBPG) MODIS Meeting May 18-20, 2011.

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New Aerosol Models for Ocean Color Retrievals Zia Ahmad NASA-Ocean Biology Processing Group (OBPG) MODIS Meeting May 18-20, 2011

Overview Background Characteristics of AERONET Aerosol Size Distributions Over Ocean Details of New Aerosol Models Validation Results Summary and Conclusions

Background Old Models (Gordon-Wang)New Models (AERONET Based) Gordon-Wang models are based on Shettle-Fenn’s models proposed for climate and radiation studies in 70s Width of Gordon-Wang models are much broader than AERONET based models. For example, Fine mode: vs ; Coarse mode: vs

Background (cont.) retrieved from Gordon-Wang (G-W) models is almost 1.6 time as large as retrieved from AERONET (443:865 nm) retrieved from Gordon-Wang (G-W) models is less than half (0.44) as retrieved from AERONET Aerosol Optical Thickness (τ aer )Angstrom Coefficient (α) (0.11±0.03) (0.39±0.09) (0.068±0.02) (0.89±0.21)

AERONET Data Open Ocean No. of Sites: 8 No. of Daily Obs Chesapeake Bay Region No. of Sites: 3 No. of Daily Obs Each site had 150 or more daily observations Only observations with τ aer ≤ 0.3 were considered C. Bay Lanai Cape Verde Tahiti Darwin Bermuda Ams. Island Asc. Island Kaashidhoo

Over the Chesapeake Bay region, mean geometric radius of fine and coarse mode aerosols show strong seasonal dependence. Over open ocean, fine mode radius show a weak seasonal dependence, whereas, coarse mode radius is practically constant. Std. dev. of fine and coarse mode distributions are practically constant throughout the year. ( =0.44 and =0.67) Seasonal Characteristics of Aerosol Size Distributions (AERONET) Fine Mode Radius Coarse Mode Radius Standard Dev.

Seasonal Characteristics of Aerosol Size Distributions (AERONET) Effective radius Effective radius of aerosols shows weak seasonal dependence over both the Chesapeake Bay region and the open ocean. over the Chesapeake Bay region is ~ 0.27 μm and over open ocean is ~ 0.67 μm

Single Scattering Albedo Over Chesapeake Bay - 5% of the data had SSA < No data for the months of Jan, Feb, Mar, Apr, Nov and Dec -SSA shows linear Spectral Dependence SSA Frequency Dist. SSA (440 nm) SSA vs. Wavelength

Modal Radius and Standard Dev vs. R Humidity Open OceanChesapeake Bay Region - Fine mode radius shows a strong correlation with RH - Std. dev. and coarse mode radius are weakly dependent on RH

Details of the New Aerosol Models - Type of distribution:Lognormal bimodal - Fine mode: Similar to coastal region aerosols - Coarse mode: Similar to open ocean aerosols - Modal radii: Vary with RH - Std. dev.: Constant with RH - Refractive Index: Vary with RH - Absorption: All absorptions due to fine mode aerosols. - No. of RH : Eight (30, 50, 70, 75, 80, 85, 90 and 95) - No. of aerosol models/RH: 10 (constructed by varying fine mode fraction from zero to one) - Total no. of aerosol models:80 (8RH x 10 models/RH)

Examples of the New Aerosol Models Aerosol Models are selected based on: - Relative humidity (NCEP ) - Scaled reflectance (ε λ =ρ λ /ρ λo )

Scaled Reflectance vs. Effective Radius θ θ o =42 o θ=42 o φ=120 o

Comparison of τ (SeaWiFS vs. AERONET) Time Series Scatter Plot Bermuda Wallops Island 81% of the retrieval at Bermuda and 78% of the retrievals at Wallops Island fall within an uncertainty of ±0.02 in τ

Comparison of α (SeaWiFS vs. AERONET) BermudaWallops Island For new models, the Angstrom coeff. (α) shows better agreement over Bermuda than over Wallops Island For old models, the α values are almost one-half of AERONET Values

Comparison of τ 865 (SeaWiFS vs. MODIS vs. MISR) Pacific Ocean (40 o N – 50 o N) τ 865 from the SeaWiFS and MODIS sensors are very close to one another (~ ±0.02) The minimum values of τ 865 from the MISER sensor are higher than SeaWiFS & MODIS values by ~ 0.05

Comparison of τ 865 (SeaWiFS vs. MODIS vs. MISR) Atlantic Ocean (10 o N – 20 o N Dust Belt) For small τ 865 (< 0.15) SeaWiFS and MODIS values agree very well one another over the entire overlapping time period. Since ocean color retrievals are made in pristine environment, SeaWiFS screens out large values of τ 865. This results in large bias when τ 865 exceeds 0.15

Future Plan Absorbing Aerosols (Dust and Smoke) - Sensitivity studies to detect smoke and Saharan dust under low aerosol loading Response Versus Scan Angle (RVS) - Sensitivity study to determine any dependence on phase function RT Code -Output lookup tables at finer angular resolution to minimize the use of interpolation Multiple Scattering Epsilon (ε λ ) - Use multiple scattering epsilon (ε λ ) to select aerosol models for atmospheric correction

Summary and Conclusions A suite of 80 new aerosol models (based on AERONET retrievals) were developed to process ocean color data from MODIS and SeaWiFS sensors. In the new models, the modal radii and refractive index of the constituents are explicitly dependent on relative humidity. The new models significantly improve the comparison of optical thickness (τ) and Angstrom coefficient (α) with in situ measurements. For τ 865 less than 0.15, SeaWiFS and MODIS agree very well with one another, even in the dust belt regions. Also, in general, MISR values are higher than SeaWiFS and MODIS.

Backup Slides

Water-Leaving Radiances (New & Old Models) ε vs. λ ρ vs. λ Old Model: M70 New Model: RH80M06 θo=30 o θ=42 o φ =120 o τ=0.1