Aerosol and Cloud Retrieval Algorithms Using EarthCARE Satellite-Borne Lidar Data

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  • EarthCARE衛星搭載ライダーデータを用いたエアロゾル・雲推定アルゴリズム
  • EarthCARE エイセイ トウサイ ライダーデータ オ モチイタ エアロゾル ・ クモ スイテイ アルゴリズム

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<p>Earth Clouds, Aerosols and Radiation Explorer (EarthCARE) is a joint Japanese-European satellite observation mission to understand interaction between cloud, aerosol, and radiation processes in the earth climate. Four sensors of 95GHz cloud profiling radar, broadband radiometer, multi-spectral imager (MSI) and 355nm high spectral resolution lidar (ATLID) are installed on the satellite. We develop an algorithm to produce ATLID level 2 data distributed by JAXA, using the ATLID level 1 data of Mie copol, Mie crosspol, and Rayleigh attenuated backscatter coefficients at 355nm (ATLID algorithm). The algorithm retrieve extinction coefficients (αp ), backscatter coefficients (βp ) and depolarization ratios (δp) of particles (aerosol and cloud) without assuming a particle lidar ratio (Sp), using an optimization method. This algorithm identifies molecule-rich, aerosol-rich, or cloud-rich slab layers using the derived βp ; it also classifies aerosol type (e.g., dust and marine) and cloud type (e.g., water-droplet and ice-crystal) using the derived Sp, δp, and αp . The CALIPSO satellite-borne lidar CALIOP have provided the products as similar as those abovementioned, though the wavelength and retrieval methods are different. This indicates that continuity of the products will be kept from CALIPSO mission to EarthCARE mission. As new products provided from the ATLID measurements, planetary boundary layer height is retrieved. Furthermore, extinction coefficients for several main aerosol components in the atmosphere (water-soluble, black carbon, dust, and sea-salt particles) are retrieved using the retrieved αp, βp, and δp. In addition, mode radii of fine-mode and coarse-mode aerosols are retrieved using MSI level 1 data as well as ATLID data (ATLID-MSI synergy algorithm). In this paper, we describe the products and algorithms; we also report the current status of the algorithm development and its future work.</p>

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