POSTER Session 1

The PACE-MAPP algorithm for aerosol/ocean products from the polarimeters onboard the NASA PACE satellite mission

We present the Plankton, Aerosols, Clouds and Ecosystems Microphysical Aerosol Properties from Polarimetry (PACE-MAPP) polarimetric remote sensing algorithm developed for the newly launched NASA PACE satellite observing system. The objective of PACE-MAPP is to retrieve detailed fine-mode (marine, pollution and smoke) and coarse-mode (sea-salt and dust) aerosol properties over the ocean for a range of light to heavy aerosol loadings using PACE’s polarimetric-imaging capabilities at multiple angles and wavelengths from the ultraviolet (UV) to the near-infrared (NIR). An additional objective for PACE-MAPP is to discriminate aerosols from thin clouds. The PACE-MAPP polarimetric remote sensing retrieval algorithm uses coupled atmosphere-ocean vector radiative transfer, optimal estimation, artificial intelligence and powerful inherent optical property look-up-tables for the Earth’s aerosol, cloud, and hydrosol particles. PACE-MAPP is the only retrieval algorithm designed to invert aerosol/ocean products using both polarimeters onboard PACE. We present results using PACE-MAPP to retrieve aerosol and ocean remote sensing products from measurements by the Hyper-Angular Rainbow Polarimeter #2 (HARP2) and Spectro-polarimeter for Planetary Exploration one (SPEXone) polarimeter instruments onboard PACE.

Snorre Stamnes, NASA Langley Research Center, USA, https://orcid.org/0000-0002-6666-0672

Michael Jones, NASA Langley Research Center, USA

James Allen, NASA Goddard Institute for Space Studies, USA

Jacek Chowdhary, NASA Goddard Institute for Space Studies, USA

Eduard Chemyakin, NASA Langley Research Center, USA

Adam Bell, NASA Langley Research Center, USA

Xu Liu, NASA Langley Research Center, USA

Sharon Burton, NASA Langley Research Center, USA

Bastiaan Van Diedenhoven, the Netherlands Institute for Space Research (SRON), the Netherlands

Otto Hasekamp, the Netherlands Institute for Space Research (SRON), the Netherlands

Johnathan Hair, NASA Langley Research Center, USA

Yongxiang Hu, NASA Langley Research Center, USA

Chris Hostetler, NASA Langley Research Center, USA

Richard Ferrare, NASA Langley Research Center, USA

Knut Stamnes, Stevens Institute of Technology, USA

Brian Cairns, NASA Goddard Institute for Space Studies, USA

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