Development of JAXA L2 algorithm to retrieve aerosol and cloud properties using ATLID and MSI

We have developed JAXA L2 algorithm to retrieve aerosol and cloud optical properties using data of 355nm high spectral resolution lidar (HSRL) with depolarization measurement function ATLID onboard EarthCARE satellite, to determine the global distribution of aerosols and clouds and to better understand cloud-aerosol interactions and their climate impacts. 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) retrieves planetary boundary layer height, and (5) estimates 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 have developed 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 algorithms described above were developed based on our developed algorithm for the CALIOP and MODIS measurements. In the presentation, the overview of the algorithms and their performance will be described. In addition, related studies will be presented.