W-66. ANGULAR ANISOTROPY of SATELLITE OBSERVED LAND SURFACE TEMPERATURE Konstantin Y. Vinnikov1, Yunyue Yu2, Mitchell D. Goldberg2, Dan Tarpley3, Peter.

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W-66. ANGULAR ANISOTROPY of SATELLITE OBSERVED LAND SURFACE TEMPERATURE Konstantin Y. Vinnikov1, Yunyue Yu2, Mitchell D. Goldberg2, Dan Tarpley3, Peter Romanov4, Istvan Laszlo2, Ming Chen5. 1University of Maryland , 2NESDIS/NOAA, 3Short and Associates,4CREST, CUNY, 5IMSG We developed a technique to convert directionally observed LST into direction-independent equivalent physical temperature of the land surface. The anisotropy model consists of an isotropic kernel, an emissivity kernel (LST dependence on viewing angle), and a solar kernel (effect of directional inhomogeneity of observed temperature). Application of this model reduces differences of LST observed from two satellites and between the satellites and surface ground truth -SURFRAD station observed LST. SURFRAD stations (coordinates, satellite viewing angles, nighttime and daytime number of pairs of simultaneous LST GOES-EAST and GOES-WEST observations) and statistics of differences between GOES-EAST and GOES-WEST observed LST at locations of these stations. Bias and angular anisotropy adjustment (Equations 2-3) was applied with the coefficients: A = -0.0138 K-1, BW = 0.57 K, C= 0.9954, D= 0.0140 K-1. Station name Lat. (°N) Lon. (°W) Satellite viewing angle (°) Number of observations Raw data Time shift = 15min. Time shift adjusted Angular adjusted GOES-8 γE GOES-10 γW Night Day (TE-TW), K (θE-θW), K Mean RMS Desert Rock, NV 36.63 116.02 60.14 46.81 148 1417 0.2 2.2 0.6 1.9 0.5 1.3 Boulder, CO 40.13 105.24 55.68 55.40 292 675 1.7 1.4 Goodwin Creek, MS 34.25 89.87 42.68 61.89 134 263 2.5 1.5 -0.5 1.2 Fort Peck, MT 48.31 105.10 62.42 62.36 466 637 1.6 0.9 0.3 Bondville, IL 40.05 88.37 48.12 66.14 579 448 1.8 0.0 THREE-KERNEL APPROACH Directionally observed Land Surface Temperature, T(γ,ξ,β), depends on the satellite zenith viewing angle γ, Sun zenith angle ξ, and relative Sun-satellite azimuth β.   T(γ,ξ,β)/T0 = 1 + A·φ(γ) + D·ψ(γ,ξ,β) , (1) where: T0 = T(γ = 0,ξ) is LST in the nadir direction at γ = 0. The first term, 1, on the right side of (1), has the sense of a basic “isotropic kernel” that should be corrected by two other kernels; φ(γ) is the “emissivity kernel,” related to observation angle anisotropy; ψ(γ,ξ,β) is the “solar kernel,” related to spatial inhomogeneity of surface heating and shadowing of different parts of the land surface and its cover, [ψ(γ,ξ ≥ 90º,β) ≡ 0 at nighttime]; A and D are coefficients that should be estimated from observations. These coefficients depend on land topography and the land cover structure. Such a model follows the traditional structure of BRDF (Bidirectional Reflectance Distribution Function) semi-empirical models based on a linear combination of “kernels”. Using observations of GOES-East and GOES-West satellites Use nighttime TE & TW to estimate coefficient A and bias BW: TE – TW ≈ BW + A[(TW + BW) ·φ(γE) – TE·φ(γW) ] (2) Use daytime TE & TW to estimate coefficient D: TE[1+Aφ(γW)]-(TW+BW)[1+Aφ(γE)]≈D[(TW+BW)ψ(γE,ξ,βE)-TEψ(γE,ξ,βW)].(3) Statistics of differences satellite (GOES-EAST, GOES-WEST) and surface (SURFRAD) observed LST. Results are for angular anisotropy adjustment based on universal solar kernel coefficient value D=0.0140 K-1 (estimated for for all stations together) and for the adjustment based on solar kernel coefficients Dstation estimated separately for each of the stations. Infrared kernel coefficient A=-0.0138 K-1 and GOES-WEST LSTW bias Bw=0.57 K and C=0.9954 are common for all estimates. Fort Peck, MT D=0.0097 1/K Station name Universal angular adjustment coefficients: A=-0.0138 K-1, BW=0.57 K, D=0.0140 K-1 Solar Kernel Dstation K-1 Angular Adjustment coefficients per station: A=-0.0138 K-1, BW=0.57 K, D=Dstation (θE-TS), K (θW-TS), K [(θE+ θW)/2-TS], K (θE-θW), K [(θE+θW)/2-TS], K Mean RMS Desert Rock, NV -1.1 1.4 -1.6 1.0 -1.4 0.0165 0.4 1.3 -1.5 Boulder, CO -0.2 1.5 -0.7 -0.5 1.2 0.0149 0.5 -0.3 Goodwin Creek, MS -0.6 -0.1 0.0126 Fort Peck, MT 0.1 1.6 0.0 0.0097 0.3 Bondville, IL 0.0068 Boulder, CO D=0.0149 1/K φ(γ) = 1 – cos(γ), BW = 0.57 K, A = –0.0138 K-1. (4) ψ(γ,ξ,β) = sin(γ)·cos(ξ)·sin(ξ)·cos(ξ–γ)·cos(β). D = 0.0140 K-1. (5) Definition of Equivalent temperature θ (6) (7) C=0.9954. (8) Angular correction (9) Bondville, IL D=0.0068 1/K Goodwin Creek, MS D=0.0126 1/K Estimated universal angular dependence of satellite observed LST for different solar zenith angles ξ. T(γ,ξ,β)/T0 is displayed in a polar coordinate system (viewing zenith angle γ – radial coordinate 0-90°, relative azimuth β - angular coordinate 0-360°). The value of this function at the center of each subplot (γ=0) is equal to one, by definition. Desert Rock, NV D=0.0165 1/K Publication: Vinnikov, K. Y., Y. Yu, M. D. Goldberg, D. Tarpley, P. Romanov, I. Laszlo, and M. Chen (2012), Angular anisotropy of satellite observations of land surface temperature, Geophys. Res. Let. , 39, L23802, doi:10.1029/2012GL054059. Contact: Kostya Vinnikov 301-405-5382, kostya@atmos.umd.edu