[Aura] AMS session on "Interactions between Atmospheric Convection and Composition"

Juvera, Elizabeth M. (ARC-SG)[Bay Area Environmental Research Institute] liz.juvera at nasa.gov
Mon Aug 6 13:10:59 PDT 2018


Dear Colleagues,

We would like to invite you to submit an abstract to the AMS session on “Interactions between Atmospheric Convection and Composition” as part of the AMS Annual Meeting during 6-10 January 2019.

The abstract submission deadline is August 8, 2018.
https://ams.confex.com/ams/2019Annual/webprogrampreliminary/Session48334.html

Session: Interactions between Atmospheric Convection and Composition

Conveners:
Hui Su<https://ams.confex.com/ams/2019Annual/webprogrampreliminary/Person188732.html>, California Institute of Technology/JPL, Pasadena, CA; Kenneth Pickering<https://ams.confex.com/ams/2019Annual/webprogrampreliminary/Person184225.html>, University of Maryland, Dept of Atmospheric and Oceanic Science, College Park, MD and Gretchen Mullendore<https://ams.confex.com/ams/2019Annual/webprogrampreliminary/Person162437.html>, University of North Dakota, Atmospheric Sciences, Grand Forks, ND

Description:
Rapid vertical transport of air by convection plays an important role in the distributions and evolutions of atmospheric composition, including trace gases, aerosols, water vapor and clouds; yet the convective processes and their impacts are poorly represented in numerical models, leading to large uncertainties in simulations and predictions of weather, climate and air quality. Atmospheric composition observations can be used to inform and constrain the modeling and parameterization of convection. This session solicits studies on the interactions between atmospheric convection and composition, including but not limited to, convective transport of atmospheric constituents, using composition measurements to diagnose convective processes (e.g., lightning NO production, wet scavenging of soluble species), optimizing and improving model representation of convection. Innovative techniques to infer convective properties from remote sensing data are especially welcome.

Thank you,
Hui Su, Kenneth Pickering and Gretchen Mullendore

____________________________________________________

Liz Juvera
Earth Science Projects Office
NASA Ames Research Center MS 232-22
Bay Area Environmental Research Institute
liz.juvera at nasa.gov<mailto:liz.juvera at nasa.gov>
(650) 604-5965 - Ames
(650) 282-0797 - Cell

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