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Published February 27, 2018 | Published
Journal Article Open

A multi-year data set on aerosol-cloud-precipitation-meteorology interactions for marine stratocumulus clouds

Abstract

Airborne measurements of meteorological, aerosol, and stratocumulus cloud properties have been harmonized from six field campaigns during July-August months between 2005 and 2016 off the California coast. A consistent set of core instruments was deployed on the Center for Interdisciplinary Remotely-Piloted Aircraft Studies Twin Otter for 113 flight days, amounting to 514 flight hours. A unique aspect of the compiled data set is detailed measurements of aerosol microphysical properties (size distribution, composition, bioaerosol detection, hygroscopicity, optical), cloud water composition, and different sampling inlets to distinguish between clear air aerosol, interstitial in-cloud aerosol, and droplet residual particles in cloud. Measurements and data analysis follow documented methods for quality assurance. The data set is suitable for studies associated with aerosol-cloud-precipitation-meteorology-radiation interactions, especially owing to sharp aerosol perturbations from ship traffic and biomass burning. The data set can be used for model initialization and synergistic application with meteorological models and remote sensing data to improve understanding of the very interactions that comprise the largest uncertainty in the effect of anthropogenic emissions on radiative forcing.

Additional Information

© 2018 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. Received: 19 July 2017; Accepted: 04 January 2018; Published online: 27 February 2018. The authors acknowledge support from Office of Naval Research grants N00014-04-1-0118, N00014-10-1-0200, N00014-11-1-0783, N00014-10-1-0811, N00014-16-1-2567, and N00014-04-1-0018. A.N. acknowledges support from an NSF CAREER and NOAA OGP. A.B.M. acknowledges support from the Mexican National Council for Science and Technology (CONACyT). Author Contributions: This paper represents a joint effort among numerous research groups. A.S. organized all of the data sets and led the conception and writing of the manuscript. H.H.J. and R.K.W. collected and conducted quality control on data in the cabin files. All authors contributed to field data collection and quality control of their respective data sets. A.S., H.D., and A.B.M. conducted a final round of quality control on all data sets. A.B.M produced the plotting code to allow for data visualization by data users. The authors declare no competing financial interests.

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