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The Tables of Aerosol Optics (TAO) ProjectThe Table of Aerosol Optics (TAO) project is a community repository of optics computations (extinction, absorption, single-scatter albedo, lidar ratio, etc) that are useful for global models and remote sensing applications. TAO expands upon historical efforts (e.g., Hess et al., 1998) by building an open database that uses recent measurements and new computational techniques for non-spherical particles. The ‘open’ aspect of TAO is important, since the size distributions, hygroscopicities, refractive indices, and morphological recommendations of today will undoubtedly yield to different values in the future; the open framework of TAO allows scientists to keep adding new computations to the database as the science evolves.

TAO is meant to be a community repository where specialists can put their computations for other scientists to use. So for instance, some groups are advancing new techniques that can accommodate complex fractal aggregates of black carbon, other groups are working on realistic irregular shapes for mineral dust, and different groups are updating the hygroscopicity of various aerosol types using new techniques. The TAO database gives these scientists a place to distribute their products. As TAO grows, modelers and remote sensing specialists will look to TAO as a place to find a wide variety of choices for testing. Meanwhile, global modelers can also use TAO to lobby for new tables that accommodate their needs.

Eventually, TAO will provide mass extinction coefficients, mass absorption coefficients, lidar ratios, etc., at popular remote sensing and global modeling wavelengths (0.25-40 µm) for all pertinent species (sulfate, sea salt, BC, OC, BrC, dust, etc.). TAO will also accept computations for aerosol ‘type’ (e.g., biomass burning, urban, background, etc.) that may include regional and seasonal variability. Multiple tables may be created for each species or type to account for the multiple valid size distributions, hygroscopicities, complex refractive indices, and shapes that can be found in the literature.
Document ID
20230017863
Acquisition Source
Langley Research Center
Document Type
Poster
Authors
Greg Schuster
(Langley Research Center Hampton, Virginia, United States)
Richard Moore
(Langley Research Center Hampton, Virginia, United States)
Snorre Stamnes
(Langley Research Center Hampton, Virginia, United States)
Ed Chemyakin
(Science Systems & Applications, Inc. Hampton, VA, USA)
Bastiaan Van Diedenhoven
(Netherlands Institute for Space Research Utrecht, Netherlands)
Elisabeth Andrews
(National Oceanic and Atmospheric Administration Washington D.C., District of Columbia, United States)
Joshua Schwarz
(National Oceanic and Atmospheric Administration Washington D.C., District of Columbia, United States)
Masanori Saito
(University of Wyoming Laramie, United States)
Ping Yang
(Texas A&M University - College Station College Station, TX, United States)
Arlindo M Da Silva
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Mian Chin
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Reed Espinosa
(Goddard Space Flight Center Greenbelt, United States)
Greema Regmi
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Nobuhiro Moteki
(Tokyo Metropolitan University Tokyo, Japan)
Yevgeny Derimian
(University of Lille Nord de France Lille, France)
Ben Johnson
(University Corporation for Atmospheric Research Boulder, Colorado, United States)
Date Acquired
December 7, 2023
Subject Category
Earth Resources and Remote Sensing
Meeting Information
Meeting: American Geophysical Union (AGU) Fall Meeting
Location: San Francisco, CA
Country: US
Start Date: December 11, 2023
End Date: December 15, 2023
Sponsors: American Geophysical Union
Funding Number(s)
WBS: 653967.04.12.01
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
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