SAM-CAAM: A Concept for Acquiring Systematic Aircraft Measurements to Characterize Aerosol Air Masses

Author:

Kahn Ralph A.1,Berkoff Tim A.2,Brock Charles3,Chen Gao2,Ferrare Richard A.2,Ghan Steven4,Hansico Thomas F.1,Hegg Dean A.5,Martins J. Vanderlei6,McNaughton Cameron S.7,Murphy Daniel M.3,Ogren John A.8,Penner Joyce E.9,Pilewskie Peter10,Seinfeld John H.11,Worsnop Douglas R.12

Affiliation:

1. Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, Maryland

2. NASA Langley Research Center, Hampton, Virginia

3. Chemical Sciences Division, NOAA/Earth System Research Laboratory, Boulder, Colorado

4. Department of Energy, Pacific Northwest National Laboratory, Richland, Washington

5. Department of Atmospheric Sciences, University of Washington, Seattle, Washington

6. Department of Physics, and Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, Maryland

7. Golder Associates Ltd., Saskatoon, Saskatchewan, Canada, and Department of Oceanography, University of Hawai‘i at Mānoa, Honolulu, Hawaii

8. Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado

9. Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, Michigan

10. Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, Colorado

11. California Institute of Technology, Pasadena, California

12. Center for Aerosol and Cloud Chemistry, Aerodyne Research, Inc., Billerica, Massachusetts

Abstract

Abstract A modest operational program of systematic aircraft measurements can resolve key satellite aerosol data record limitations. Satellite observations provide frequent global aerosol amount maps but offer only loose aerosol property constraints needed for climate and air quality applications. We define and illustrate the feasibility of flying an aircraft payload to measure key aerosol optical, microphysical, and chemical properties in situ. The flight program could characterize major aerosol airmass types statistically, at a level of detail unobtainable from space. It would 1) enhance satellite aerosol retrieval products with better climatology assumptions and 2) improve translation between satellite-retrieved optical properties and species-specific aerosol mass and size simulated in climate models to assess aerosol forcing, its anthropogenic components, and other environmental impacts. As such, Systematic Aircraft Measurements to Characterize Aerosol Air Masses (SAM-CAAM) could add value to data records representing several decades of aerosol observations from space; improve aerosol constraints on climate modeling; help interrelate remote sensing, in situ, and modeling aerosol-type definitions; and contribute to future satellite aerosol missions. Fifteen required variables are identified and four payload options of increasing ambition are defined to constrain these quantities. “Option C” could meet all the SAM-CAAM objectives with about 20 instruments, most of which have flown before, but never routinely several times per week, and never as a group. Aircraft integration and approaches to data handling, payload support, and logistical considerations for a long-term, operational mission are discussed. SAM-CAAM is feasible because, for most aerosol sources and specified seasons, particle properties tend to be repeatable, even if aerosol loading varies.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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