Articles | Volume 18, issue 4
https://doi.org/10.5194/acp-18-2615-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-18-2615-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Southeast Atmosphere Studies: learning from model-observation syntheses
Geophysical Institute and Department of Chemistry, University of
Alaska Fairbanks, Fairbanks, AK, USA
Annmarie Carlton
Department of Environmental Sciences, Rutgers University, New Brunswick,
NJ, USA
now at: Department of Chemistry, University of California, Irvine, CA, USA
Ronald C. Cohen
Department of Earth and Planetary Science, University of California,
Berkeley, Berkeley, CA, USA
William H. Brune
Department of Meteorology, Pennsylvania State University, University
Park, PA, USA
Steven S. Brown
Department of Chemistry and CIRES, University of Colorado Boulder,
Boulder, CO, USA
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Boulder, CO, USA
Glenn M. Wolfe
Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
Joint Center for Earth Systems Technology, University of Maryland
Baltimore County, Baltimore, MD, USA
Jose L. Jimenez
Department of Chemistry and CIRES, University of Colorado Boulder,
Boulder, CO, USA
Havala O. T. Pye
National Exposure Research Laboratory, US Environmental Protection
Agency, Research Triangle Park, NC, USA
Nga Lee Ng
School of Chemical and Biomolecular Engineering and School of Earth
and Atmospheric Sciences, Georgia Institute of Technology, Atlanta,
GA, USA
School of Chemical and Biomolecular Engineering and School of Earth
and Atmospheric Sciences, Georgia Institute of Technology, Atlanta,
GA, USA
now at: Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
V. Faye McNeill
Department of Chemical Engineering, Columbia University, New York, NY
USA
Kostas Tsigaridis
Center for Climate Systems Research, Columbia University, New York,
NY, USA
NASA Goddard Institute for Space Studies, New York, NY, USA
Brian C. McDonald
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Boulder, CO, USA
Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
Carsten Warneke
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Boulder, CO, USA
Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
Alex Guenther
Department of Earth System Science, University of California, Irvine,
CA, USA
Matthew J. Alvarado
Atmospheric and Environmental Research, Lexington, MA, USA
Joost de Gouw
Department of Chemistry and CIRES, University of Colorado Boulder,
Boulder, CO, USA
Loretta J. Mickley
John A. Paulson School of Engineering and Applied Sciences, Harvard University,
Cambridge, MA, USA
Eric M. Leibensperger
Center for Earth and Environmental Science, SUNY Plattsburgh,
Plattsburgh, NY, USA
Rohit Mathur
National Exposure Research Laboratory, US Environmental Protection
Agency, Research Triangle Park, NC, USA
Christopher G. Nolte
National Exposure Research Laboratory, US Environmental Protection
Agency, Research Triangle Park, NC, USA
Robert W. Portmann
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Boulder, CO, USA
Nadine Unger
College of Engineering, Mathematics and Physical Sciences, University
of Exeter, Exeter, UK
Mika Tosca
School of the Art Institute of Chicago (SAIC), Chicago, IL 60603,
USA
Larry W. Horowitz
Geophysical Fluid Dynamics Laboratory–National Oceanic and
Atmospheric Administration, Princeton, NJ, USA
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Latest update: 14 Dec 2024
Short summary
This paper is aimed at discussing progress in evaluating, diagnosing, and improving air quality and climate modeling using comparisons to SAS observations as a guide to thinking about improvements to mechanisms and parameterizations in models.
This paper is aimed at discussing progress in evaluating, diagnosing, and improving air quality...
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