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Abstract:
We develop an JAXA algorithm to retrieve aerosol optical properties using data of 355nm high spectral resolution lidar (HSRL) with depolarization measurement function “ATLID” onboard EarthCARE satellite. Using the three channel data of the ATLID, the developed algorithm estimates (1) extinction coefficient, backscatter coefficient and depolarization ratio of particles (aerosols and clouds) without assuming a particle lidar ratio, (2) identifies molecule-rich, aerosol-rich, or cloud-rich slab layers, (3) classifies particle type (e.g., dust and maritime), (4) retrieve planetary boundary layer height, and (5) estimate extinction coefficients for several main aerosol components such as dust, sea-salt, carbonaceous, and water-soluble aerosols using difference in depolarization and light absorption properties of the aerosol components. Furthermore, we develop an aerosol retrieval algorithm using both the ATLID and multi-spectral imager “MSI”. This algorithm retrieves vertically mean mode-radii for dust and fine-mode aerosols as well as the extinction coefficients for the four aerosol components using the three channels of the ATLID and radiances at 670nm and 865nm of MSI. The optical properties of aerosols and their global distribution provided by the developed algorithms help clarify the radiative effects of aerosols. The EarthCARE algorithm described above was developed based on our developed algorithm for the CALIOP and MODIS measurements. In the presentation, the EarthCARE algorithm will be described, and as a demonstration, the global aerosol distribution retrieved from CALIOP-MODIS measurements and its radiative properties will be presented.
