Multi-campaign ship and aircraft observations of marine cloud condensation nuclei and droplet concentrations
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Published:2023-07-20
Issue:1
Volume:10
Page:
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ISSN:2052-4463
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Container-title:Scientific Data
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language:en
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Short-container-title:Sci Data
Author:
Sanchez Kevin J.ORCID, Painemal David, Brown Matthew D., Crosbie Ewan C., Gallo Francesca, Hair Johnathan W., Hostetler Chris A., Jordan Carolyn E., Robinson Claire E., Scarino Amy Jo, Shingler Taylor J., Shook Michael A.ORCID, Thornhill Kenneth L., Wiggins Elizabeth B., Winstead Edward L., Ziemba Luke D., Chambers Scott, Williams AlastairORCID, Humphries Ruhi S, Keywood Melita D., Ward Jason P., Cravigan Luke, McRobert Ian M., Flynn Connor, Kulkarni Gourihar R., Russell Lynn M.ORCID, Roberts Gregory C., McFarquhar Greg M., Nenes Athanasios, Woods Sarah F., Reid Jeffery S., Small-Griswold Jennifer, Brooks Sarah, Kirschler Simon, Voigt ChristianneORCID, Wang JianORCID, Delene David J., Quinn Patricia K., Moore Richard H.ORCID
Abstract
AbstractIn-situ marine cloud droplet number concentrations (CDNCs), cloud condensation nuclei (CCN), and CCN proxies, based on particle sizes and optical properties, are accumulated from seven field campaigns: ACTIVATE; NAAMES; CAMP2EX; ORACLES; SOCRATES; MARCUS; and CAPRICORN2. Each campaign involves aircraft measurements, ship-based measurements, or both. Measurements collected over the North and Central Atlantic, Indo-Pacific, and Southern Oceans, represent a range of clean to polluted conditions in various climate regimes. With the extensive range of environmental conditions sampled, this data collection is ideal for testing satellite remote detection methods of CDNC and CCN in marine environments. Remote measurement methods are vital to expanding the available data in these difficult-to-reach regions of the Earth and improving our understanding of aerosol-cloud interactions. The data collection includes particle composition and continental tracers to identify potential contributing CCN sources. Several of these campaigns include High Spectral Resolution Lidar (HSRL) and polarimetric imaging measurements and retrievals that will be the basis for the next generation of space-based remote sensors and, thus, can be utilized as satellite surrogates.
Funder
NASA | Langley Research Center
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
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