Articles | Volume 22, issue 12
https://doi.org/10.5194/acp-22-7933-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-7933-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Limitations in representation of physical processes prevent successful simulation of PM2.5 during KORUS-AQ
Katherine R. Travis
CORRESPONDING AUTHOR
NASA Langley Research Center, Hampton, VA, USA
James H. Crawford
NASA Langley Research Center, Hampton, VA, USA
Gao Chen
NASA Langley Research Center, Hampton, VA, USA
Carolyn E. Jordan
NASA Langley Research Center, Hampton, VA, USA
National Institute of Aerospace, Hampton, VA, USA
Benjamin A. Nault
Center for Aerosol and Cloud Chemistry, Aerodyne Research Inc., 45 Manning Road, Billerica, MA, USA
Hwajin Kim
Department of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea
Jose L. Jimenez
Cooperative Institute for Research in the Environmental Sciences, University of Colorado, Boulder, Colorado, USA
Pedro Campuzano-Jost
Cooperative Institute for Research in the Environmental Sciences, University of Colorado, Boulder, Colorado, USA
Jack E. Dibb
Earth System Research Center, University of New Hampshire, Durham, NH, USA
Jung-Hun Woo
Department of Civil and Environmental Engineering, Konkuk University, Seoul, Republic of Korea
Younha Kim
Energy, Climate, and Environment (ECE) Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
Shixian Zhai
John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Xuan Wang
School of Energy and Environment, City University of Hong Kong, Kowloon, Hong Kong SAR, China
Erin E. McDuffie
Department of Energy, Environmental, and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
Atmospheric Sciences Research Center, University at Albany, Albany, NY, USA
Fangqun Yu
Atmospheric Sciences Research Center, University at Albany, Albany, NY, USA
Saewung Kim
Department of Earth System Science, University of California, Irvine, Irvine, CA, USA
Isobel J. Simpson
Department of Chemistry, University of California, Irvine, California, USA
Donald R. Blake
Department of Chemistry, University of California, Irvine, California, USA
Limseok Chang
Air Quality Research Division, National Institute of Environmental Research, Incheon, Republic of Korea
Michelle J. Kim
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
Data sets
KORUS-AQ Data KORUS-AQ Science Team https://doi.org/10.5067/Suborbital/KORUSAQ/DATA01
Automated Surface Observation System, ASOS Iowa Environmental Mesonet http://mesonet.agron.iastate.edu/request/download.phtml
Model code and software
Supporting Information for "Limitations in representation of physical processes prevents successful simulation of PM2.5 during KORUS-AQ" K. R. Travis https://doi.org/10.5281/zenodo.5620667
Short summary
The 2016 Korea–United States Air Quality (KORUS-AQ) field campaign provided a unique set of observations to improve our understanding of PM2.5 pollution in South Korea. Models typically have errors in simulating PM2.5 in this region, which is of concern for the development of control measures. We use KORUS-AQ observations to improve our understanding of the mechanisms driving PM2.5 and the implications of model errors for determining PM2.5 that is attributable to local or foreign sources.
The 2016 Korea–United States Air Quality (KORUS-AQ) field campaign provided a unique set of...
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