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

التفاصيل البيبلوغرافية
العنوان: SAM-CAAM: A Concept for Acquiring Systematic Aircraft Measurements to Characterize Aerosol Air Masses
المؤلفون: John H. Seinfeld, Peter Pilewskie, Steven J. Ghan, Dean A. Hegg, J. Vanderlei Martins, Charles A. Brock, John A. Ogren, Douglas R. Worsnop, Timothy A. Berkoff, Cameron S. McNaughton, Thomas F. Hansico, Richard Ferrare, Gao Chen, Ralph A. Kahn, Joyce E. Penner, Daniel M. Murphy
بيانات النشر: American Meteorological Society, 2017.
سنة النشر: 2017
مصطلحات موضوعية: Atmospheric Science, Measure (data warehouse), 010504 meteorology & atmospheric sciences, Meteorology, Group method of data handling, Payload, Forcing (mathematics), 01 natural sciences, Article, Aerosol, 010309 optics, 0103 physical sciences, Environmental science, Satellite, Climate model, Air quality index, 0105 earth and related environmental sciences, Remote sensing
الوصف: 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.
وصف الملف: application/pdf
اللغة: English
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d6e317e424c687f75f96616142724b3
https://resolver.caltech.edu/CaltechAUTHORS:20171116-112429011
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....8d6e317e424c687f75f96616142724b3
قاعدة البيانات: OpenAIRE