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Alma Hodzic
,
Natalie Mahowald
,
Matthew Dawson
,
Jeffrey Johnson
,
Ligia Bernardet
,
Peter A. Bosler
,
Jerome D. Fast
,
Laura Fierce
,
Xiaohong Liu
,
Po-Lun Ma
,
Benjamin Murphy
,
Nicole Riemer
, and
Michael Schulz

Abstract

Atmospheric aerosol and chemistry modules are key elements in Earth system models (ESMs), as they predict air pollutant concentrations and properties that can impact human health, weather, and climate. The current uncertainty in climate projections is partly due to the inaccurate representation of aerosol direct and indirect forcing. Aerosol/chemistry parameterizations used within ESMs and other atmospheric models span large structural and parameter uncertainties that are difficult to assess independently of their host models. Moreover, there is a strong need for a standardized interface between aerosol/chemistry modules and the host model to facilitate portability of aerosol/chemistry parameterizations from one model to another, allowing not only a comparison between different parameterizations within the same modeling framework, but also quantifying the impact of different model frameworks on aerosol/chemistry predictions. To address this need, we have initiated a new community effort to coordinate the construction of a Generalized Aerosol/Chemistry Interface (GIANT) for use across weather and climate models. We aim to organize a series of community workshops and hackathons to design and build GIANT, which will serve as the interface between a range of aerosol/chemistry modules and the physics and dynamics components of atmospheric host models. GIANT will leverage ongoing efforts at the U.S. modeling centers focused on building next-generation ESMs and the international AeroCom initiative to implement this common aerosol/chemistry interface. GIANT will create transformative opportunities for scientists and students to conduct innovative research to better characterize structural and parametric uncertainties in aerosol/chemistry modules, and to develop a common set of aerosol/chemistry parameterizations.

Open access
Gabriele G. Pfister
,
Sebastian D. Eastham
,
Avelino F. Arellano
,
Bernard Aumont
,
Kelley C. Barsanti
,
Mary C. Barth
,
Andrew Conley
,
Nicholas A. Davis
,
Louisa K. Emmons
,
Jerome D. Fast
,
Arlene M. Fiore
,
Benjamin Gaubert
,
Steve Goldhaber
,
Claire Granier
,
Georg A. Grell
,
Marc Guevara
,
Daven K. Henze
,
Alma Hodzic
,
Xiaohong Liu
,
Daniel R. Marsh
,
John J. Orlando
,
John M. C. Plane
,
Lorenzo M. Polvani
,
Karen H. Rosenlof
,
Allison L. Steiner
,
Daniel J. Jacob
, and
Guy P. Brasseur
Full access
Gabriele G. Pfister
,
Sebastian D. Eastham
,
Avelino F. Arellano
,
Bernard Aumont
,
Kelley C. Barsanti
,
Mary C. Barth
,
Andrew Conley
,
Nicholas A. Davis
,
Louisa K. Emmons
,
Jerome D. Fast
,
Arlene M. Fiore
,
Benjamin Gaubert
,
Steve Goldhaber
,
Claire Granier
,
Georg A. Grell
,
Marc Guevara
,
Daven K. Henze
,
Alma Hodzic
,
Xiaohong Liu
,
Daniel R. Marsh
,
John J. Orlando
,
John M. C. Plane
,
Lorenzo M. Polvani
,
Karen H. Rosenlof
,
Allison L. Steiner
,
Daniel J. Jacob
, and
Guy P. Brasseur

ABSTRACT

To explore the various couplings across space and time and between ecosystems in a consistent manner, atmospheric modeling is moving away from the fractured limited-scale modeling strategy of the past toward a unification of the range of scales inherent in the Earth system. This paper describes the forward-looking Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA), which is intended to become the next-generation community infrastructure for research involving atmospheric chemistry and aerosols. MUSICA will be developed collaboratively by the National Center for Atmospheric Research (NCAR) and university and government researchers, with the goal of serving the international research and applications communities. The capability of unifying various spatiotemporal scales, coupling to other Earth system components, and process-level modularization will allow advances in both fundamental and applied research in atmospheric composition, air quality, and climate and is also envisioned to become a platform that addresses the needs of policy makers and stakeholders.

Free access
Chelsea R. Thompson
,
Steven C. Wofsy
,
Michael J. Prather
,
Paul A. Newman
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Thomas F. Hanisco
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Thomas B. Ryerson
,
David W. Fahey
,
Eric C. Apel
,
Charles A. Brock
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William H. Brune
,
Karl Froyd
,
Joseph M. Katich
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Julie M. Nicely
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Jeff Peischl
,
Eric Ray
,
Patrick R. Veres
,
Siyuan Wang
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Hannah M. Allen
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Elizabeth Asher
,
Huisheng Bian
,
Donald Blake
,
Ilann Bourgeois
,
John Budney
,
T. Paul Bui
,
Amy Butler
,
Pedro Campuzano-Jost
,
Cecilia Chang
,
Mian Chin
,
Róisín Commane
,
Gus Correa
,
John D. Crounse
,
Bruce Daube
,
Jack E. Dibb
,
Joshua P. DiGangi
,
Glenn S. Diskin
,
Maximilian Dollner
,
James W. Elkins
,
Arlene M. Fiore
,
Clare M. Flynn
,
Hao Guo
,
Samuel R. Hall
,
Reem A. Hannun
,
Alan Hills
,
Eric J. Hintsa
,
Alma Hodzic
,
Rebecca S. Hornbrook
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L. Greg Huey
,
Jose L. Jimenez
,
Ralph F. Keeling
,
Michelle J. Kim
,
Agnieszka Kupc
,
Forrest Lacey
,
Leslie R. Lait
,
Jean-Francois Lamarque
,
Junhua Liu
,
Kathryn McKain
,
Simone Meinardi
,
David O. Miller
,
Stephen A. Montzka
,
Fred L. Moore
,
Eric J. Morgan
,
Daniel M. Murphy
,
Lee T. Murray
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Benjamin A. Nault
,
J. Andrew Neuman
,
Louis Nguyen
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Yenny Gonzalez
,
Andrew Rollins
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Karen Rosenlof
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Maryann Sargent
,
Gregory Schill
,
Joshua P. Schwarz
,
Jason M. St. Clair
,
Stephen D. Steenrod
,
Britton B. Stephens
,
Susan E. Strahan
,
Sarah A. Strode
,
Colm Sweeney
,
Alexander B. Thames
,
Kirk Ullmann
,
Nicholas Wagner
,
Rodney Weber
,
Bernadett Weinzierl
,
Paul O. Wennberg
,
Christina J. Williamson
,
Glenn M. Wolfe
, and
Linghan Zeng

Abstract

This article provides an overview of the NASA Atmospheric Tomography (ATom) mission and a summary of selected scientific findings to date. ATom was an airborne measurements and modeling campaign aimed at characterizing the composition and chemistry of the troposphere over the most remote regions of the Pacific, Southern, Atlantic, and Arctic Oceans, and examining the impact of anthropogenic and natural emissions on a global scale. These remote regions dominate global chemical reactivity and are exceptionally important for global air quality and climate. ATom data provide the in situ measurements needed to understand the range of chemical species and their reactions, and to test satellite remote sensing observations and global models over large regions of the remote atmosphere. Lack of data in these regions, particularly over the oceans, has limited our understanding of how atmospheric composition is changing in response to shifting anthropogenic emissions and physical climate change. ATom was designed as a global-scale tomographic sampling mission with extensive geographic and seasonal coverage, tropospheric vertical profiling, and detailed speciation of reactive compounds and pollution tracers. ATom flew the NASA DC-8 research aircraft over four seasons to collect a comprehensive suite of measurements of gases, aerosols, and radical species from the remote troposphere and lower stratosphere on four global circuits from 2016 to 2018. Flights maintained near-continuous vertical profiling of 0.15–13-km altitudes on long meridional transects of the Pacific and Atlantic Ocean basins. Analysis and modeling of ATom data have led to the significant early findings highlighted here.

Full access