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Kahn RA, Berkoff TA, Brock C, Chen G, Ferrare RA, Ghan S, Hansico TF, Hegg DA, Martins JV, McNaughton CS, Murphy DM, Ogren JA, Penner JE, Pilewskie P, Seinfeld JH, Worsnop DR. SAM-CAAM: A Concept for Acquiring Systematic Aircraft Measurements to Characterize Aerosol Air Masses. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY 2017; 98:2215-2228. [PMID: 29290633 PMCID: PMC5745363 DOI: 10.1175/bams-d-16-0003.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
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 air-mass 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.
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Affiliation(s)
- Ralph A Kahn
- Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771
| | | | - Charles Brock
- Chemical Sciences Division, NOAA/Earth System Research Laboratory Boulder CO 80305
| | - Gao Chen
- NASA Langley Research Center, Hampton VA 23681
| | | | - Steven Ghan
- Pacific Northwest National Laboratory, Department of Energy, Richland WA 99352
| | - Thomas F Hansico
- Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771
| | - Dean A Hegg
- Department of Atmospheric Sciences, University of Washington, Seattle WA 98195
| | - J Vanderlei Martins
- Physics Department and Joint Center for Earth Systems Technology, University of Maryland Baltimore County, Baltimore MD
| | - Cameron S McNaughton
- Golder Associates Ltd. Saskatoon, Saskatchewan Canada S7H 0T4 and Department of Oceanography, University of Hawaii, Honolulu, HI, 96822
| | - Daniel M Murphy
- Chemical Sciences Division, NOAA/Earth System Research Laboratory Boulder CO 80305
| | - John A Ogren
- University of Colorado/Cooperative Institute for Research in Environmental Sciences Boulder CO 80303
| | - Joyce E Penner
- Department of Climate and Space Sciences and Engineering University of Michigan, Ann Arbor 48109
| | - Peter Pilewskie
- Department of Atmospheric and Oceanic Sciences University of Colorado, Boulder CO 80303
| | | | - Douglas R Worsnop
- Center for Aerosol and Cloud Chemistry, Aerodyne Research, Inc. Billerica MA 01821
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