Articles | Volume 23, issue 10
https://doi.org/10.5194/acp-23-5763-2023
© Author(s) 2023. 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-23-5763-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 May 2023
Research article |
| 23 May 2023
| 23 May 2023
Simulating organic aerosol in Delhi with WRF-Chem using the volatility-basis-set approach: exploring model uncertainty with a Gaussian process emulator
Ernesto Reyes-Villegas
Department of Earth and Environmental Sciences, University of
Manchester, Manchester, M13 9PL, UK
now at: Tecnologico de Monterrey, Escuela de Ingeniería y
Ciencias, Av. General Ramon Corona 2514, Nuevo Mexico, Zapopan CP 45201,
Jalisco, Mexico
Douglas Lowe
Department of Earth and Environmental Sciences, University of
Manchester, Manchester, M13 9PL, UK
now at: IT Services, University of Manchester, Manchester, M13 9PL,
UK
Jill S. Johnson
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, LS2 9JT, UK
now at: School of Mathematics and Statistics, University of Sheffield, Sheffield, S10 2TN, UK
Kenneth S. Carslaw
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, LS2 9JT, UK
Eoghan Darbyshire
Department of Earth and Environmental Sciences, University of
Manchester, Manchester, M13 9PL, UK
now at: The Conflict and Environment Observatory, Hebden Bridge,
HX7 5HZ, UK
Michael Flynn
Department of Earth and Environmental Sciences, University of
Manchester, Manchester, M13 9PL, UK
James D. Allan
Department of Earth and Environmental Sciences, University of
Manchester, Manchester, M13 9PL, UK
National Centre for Atmospheric Science, The University of
Manchester, Manchester, M13 9PL, UK
Department of Earth and Environmental Sciences, University of
Manchester, Manchester, M13 9PL, UK
Ying Chen
Lancaster Environment Centre, Lancaster University, Lancaster, LA1
4YQ, UK
now at: School of Geography, Earth and Environmental Sciences,
University of Birmingham, Birmingham, B15 2TT, UK
Oliver Wild
Lancaster Environment Centre, Lancaster University, Lancaster, LA1
4YQ, UK
Scott Archer-Nicholls
NCAS-Climate, Department of Chemistry, University of Cambridge,
Cambridge, CB2 1EW, UK
Alex Archibald
NCAS-Climate, Department of Chemistry, University of Cambridge,
Cambridge, CB2 1EW, UK
Siddhartha Singh
Ozone Unit, India Meteorology Department, New Delhi, 110003, India
Manish Shrivastava
Atmospheric Sciences & Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington 99352, United States
Rahul A. Zaveri
Atmospheric Sciences & Global Change Division, Pacific Northwest
National Laboratory, Richland, Washington 99352, United States
Vikas Singh
National Atmospheric Research Laboratory, Gadanki, AP, India
Gufran Beig
Indian Institute of Tropical Meteorology, Pune, 411008, India
Ranjeet Sokhi
Centre for Atmospheric and Climate Physics Research, University of
Hertfordshire, Hertfordshire, AL10 9AB, UK
Gordon McFiggans
CORRESPONDING AUTHOR
Department of Earth and Environmental Sciences, University of
Manchester, Manchester, M13 9PL, UK
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Cited
Latest update: 22 Nov 2024
Short summary
Organic aerosols (OAs), their sources and their processes remain poorly understood. The volatility basis set (VBS) approach, implemented in air quality models such as WRF-Chem, can be a useful tool to describe primary OA (POA) production and aging. However, the main disadvantage is its complexity. We used a Gaussian process simulator to reproduce model results and to estimate the sources of model uncertainty. We do this by comparing the outputs with OA observations made at Delhi, India, in 2018.
Organic aerosols (OAs), their sources and their processes remain poorly understood. The...
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