Publication Abstracts

Sorooshian et al. 2019, in press

Sorooshian, A., B. Anderson, S.E. Bauer, R.A. Braun, B. Cairns, E. Crosbie, H. Dadashazar, G. Diskin, R. Ferrare, R.C. Flagan, J. Hair, C. Hostetler, H.H. Jonsson, M.M. Kleb, H. Liu, A.B. MacDonald, A. McComiskey, R. Moore, D. Painemal, L.M. Russell, J.H. Seinfeld, M. Shook, W.L. Smith, K. Thornhill, G. Tselioudis, H. Wang, X. Zeng, B. Zhang, L. Ziemba, and P. Zuidema, 2019: Aerosol-cloud-meteorology interaction airborne field investigations: Using lessons learned from the US West Coast in the design of ACTIVATE off the US East Coast. Bull. Amer. Meteorol. Soc., in press, doi:10.1175/BAMS-D-18-0100.1.

We report on a multi-year set of airborne field campaigns (2005-2016) off the California coast to examine aerosols, clouds, and meteorology, and how lessons learned tie into the upcoming NASA Earth Venture Suborbital (EVS-3) campaign: Aerosol Cloud meTeorology Interactions oVer the western ATlantic Experiment (ACTIVATE) (2019-2023). The largest uncertainty in estimating global anthropogenic radiative forcing is associated with the interactions of aerosol particles with clouds, which stems from the variability of cloud systems and the multiple feedbacks that affect and hamper efforts to ascribe changes in cloud properties to aerosol perturbations. While past campaigns have been limited in flight hours and the ability to fly in and around clouds, efforts sponsored by the Office of Naval Research have resulted in 113 single aircraft flights (> 500 flight hours) in a fixed region with warm marine boundary layer clouds. All flights used nearly the same payload of instruments on a Twin Otter to fly below, in, and above clouds, producing an unprecedented dataset. We provide here (i) an overview of statistics of aerosol, cloud, and meteorological conditions encountered in those campaigns and (ii) quantification of model-relevant metrics associated with aerosol-cloud interactions leveraging the high data volume and statistics. Based on lessons learned from those flights, we describe the pragmatic innovation in sampling strategy (dual aircraft approach with combined in situ and remote sensing) that will be used in ACTIVATE to generate a dataset that can advance scientific understanding and improve physical parameterizations for Earth system and weather forecasting models, and for assessing next-generation remote sensing retrieval algorithms.

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BibTeX Citation

@unpublished{so07200b,
  author={Sorooshian, A. and Anderson, B. and Bauer, S. E. and Braun, R. A. and Cairns, B. and Crosbie, E. and Dadashazar, H. and Diskin, G. and Ferrare, R. and Flagan, R. C. and Hair, J. and Hostetler, C. and Jonsson, H. H. and Kleb, M. M. and Liu, H. and MacDonald, A. B. and McComiskey, A. and Moore, R. and Painemal, D. and Russell, L. M. and Seinfeld, J. H. and Shook, M. and Smith, W. L. and Thornhill, K. and Tselioudis, G. and Wang, H. and Zeng, X. and Zhang, B. and Ziemba, L. and Zuidema, P.},
  title={Aerosol-cloud-meteorology interaction airborne field investigations: Using lessons learned from the US West Coast in the design of ACTIVATE off the US East Coast},
  year={2019},
  journal={Bull. Amer. Meteorol. Soc.},
  doi={10.1175/BAMS-D-18-0100.1},
  note={Manuscript accepted for publication}
}

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RIS Citation

TY  - INPR
ID  - so07200b
AU  - Sorooshian, A.
AU  - Anderson, B.
AU  - Bauer, S. E.
AU  - Braun, R. A.
AU  - Cairns, B.
AU  - Crosbie, E.
AU  - Dadashazar, H.
AU  - Diskin, G.
AU  - Ferrare, R.
AU  - Flagan, R. C.
AU  - Hair, J.
AU  - Hostetler, C.
AU  - Jonsson, H. H.
AU  - Kleb, M. M.
AU  - Liu, H.
AU  - MacDonald, A. B.
AU  - McComiskey, A.
AU  - Moore, R.
AU  - Painemal, D.
AU  - Russell, L. M.
AU  - Seinfeld, J. H.
AU  - Shook, M.
AU  - Smith, W. L.
AU  - Thornhill, K.
AU  - Tselioudis, G.
AU  - Wang, H.
AU  - Zeng, X.
AU  - Zhang, B.
AU  - Ziemba, L.
AU  - Zuidema, P.
PY  - 2019
TI  - Aerosol-cloud-meteorology interaction airborne field investigations: Using lessons learned from the US West Coast in the design of ACTIVATE off the US East Coast
JA  - Bull. Amer. Meteorol. Soc.
DO  - 10.1175/BAMS-D-18-0100.1
ER  -

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