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SO(2) Emission Estimates Using OMI SO(2) Retrievals for 2005–2017

SO(2) column densities from Ozone Monitoring Instrument provide important information on emission trends and missing sources, but there are discrepancies between different retrieval products. We employ three Ozone Monitoring Instrument SO(2) retrieval products (National Aeronautics and Space Adminis...

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Autores principales: Qu, Zhen, Henze, Daven K., Li, Can, Theys, Nicolas, Wang, Yi, Wang, Jun, Wang, Wei, Han, Jihyun, Shim, Changsub, Dickerson, Russell R., Ren, Xinrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853235/
https://www.ncbi.nlm.nih.gov/pubmed/31763109
http://dx.doi.org/10.1029/2019JD030243
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author Qu, Zhen
Henze, Daven K.
Li, Can
Theys, Nicolas
Wang, Yi
Wang, Jun
Wang, Wei
Han, Jihyun
Shim, Changsub
Dickerson, Russell R.
Ren, Xinrong
author_facet Qu, Zhen
Henze, Daven K.
Li, Can
Theys, Nicolas
Wang, Yi
Wang, Jun
Wang, Wei
Han, Jihyun
Shim, Changsub
Dickerson, Russell R.
Ren, Xinrong
author_sort Qu, Zhen
collection PubMed
description SO(2) column densities from Ozone Monitoring Instrument provide important information on emission trends and missing sources, but there are discrepancies between different retrieval products. We employ three Ozone Monitoring Instrument SO(2) retrieval products (National Aeronautics and Space Administration (NASA) standard (SP), NASA prototype, and BIRA) to study the magnitude and trend of SO(2) emissions. SO(2) column densities from these retrievals are most consistent when viewing angles and solar zenith angles are small, suggesting more robust emission estimates in summer and at low latitudes. We then apply a hybrid 4D‐Var/mass balance emission inversion to derive monthly SO(2) emissions from the NASA SP and BIRA products. Compared to HTAPv2 emissions in 2010, both posterior emission estimates are lower in United States, India, and Southeast China, but show different changes of emissions in North China Plain. The discrepancies between monthly NASA and BIRA posterior emissions in 2010 are less than or equal to 17% in China and 34% in India. SO(2) emissions increase from 2005 to 2016 by 35% (NASA)–48% (BIRA) in India, but decrease in China by 23% (NASA)–33% (BIRA) since 2008. Compared to in situ measurements, the posterior GEOS‐Chem surface SO(2) concentrations have reduced NMB in China, the United States, and India but not in South Korea in 2010. BIRA posteriors have better consistency with the annual growth rate of surface SO(2) measurement in China and spatial variability of SO(2) concentration in China, South Korea, and India, whereas NASA SP posteriors have better seasonality. These evaluations demonstrate the capability to recover SO(2) emissions using Ozone Monitoring Instrument observations.
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spelling pubmed-68532352019-11-21 SO(2) Emission Estimates Using OMI SO(2) Retrievals for 2005–2017 Qu, Zhen Henze, Daven K. Li, Can Theys, Nicolas Wang, Yi Wang, Jun Wang, Wei Han, Jihyun Shim, Changsub Dickerson, Russell R. Ren, Xinrong J Geophys Res Atmos Research Articles SO(2) column densities from Ozone Monitoring Instrument provide important information on emission trends and missing sources, but there are discrepancies between different retrieval products. We employ three Ozone Monitoring Instrument SO(2) retrieval products (National Aeronautics and Space Administration (NASA) standard (SP), NASA prototype, and BIRA) to study the magnitude and trend of SO(2) emissions. SO(2) column densities from these retrievals are most consistent when viewing angles and solar zenith angles are small, suggesting more robust emission estimates in summer and at low latitudes. We then apply a hybrid 4D‐Var/mass balance emission inversion to derive monthly SO(2) emissions from the NASA SP and BIRA products. Compared to HTAPv2 emissions in 2010, both posterior emission estimates are lower in United States, India, and Southeast China, but show different changes of emissions in North China Plain. The discrepancies between monthly NASA and BIRA posterior emissions in 2010 are less than or equal to 17% in China and 34% in India. SO(2) emissions increase from 2005 to 2016 by 35% (NASA)–48% (BIRA) in India, but decrease in China by 23% (NASA)–33% (BIRA) since 2008. Compared to in situ measurements, the posterior GEOS‐Chem surface SO(2) concentrations have reduced NMB in China, the United States, and India but not in South Korea in 2010. BIRA posteriors have better consistency with the annual growth rate of surface SO(2) measurement in China and spatial variability of SO(2) concentration in China, South Korea, and India, whereas NASA SP posteriors have better seasonality. These evaluations demonstrate the capability to recover SO(2) emissions using Ozone Monitoring Instrument observations. John Wiley and Sons Inc. 2019-07-31 2019-07-27 /pmc/articles/PMC6853235/ /pubmed/31763109 http://dx.doi.org/10.1029/2019JD030243 Text en ©2019. The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Qu, Zhen
Henze, Daven K.
Li, Can
Theys, Nicolas
Wang, Yi
Wang, Jun
Wang, Wei
Han, Jihyun
Shim, Changsub
Dickerson, Russell R.
Ren, Xinrong
SO(2) Emission Estimates Using OMI SO(2) Retrievals for 2005–2017
title SO(2) Emission Estimates Using OMI SO(2) Retrievals for 2005–2017
title_full SO(2) Emission Estimates Using OMI SO(2) Retrievals for 2005–2017
title_fullStr SO(2) Emission Estimates Using OMI SO(2) Retrievals for 2005–2017
title_full_unstemmed SO(2) Emission Estimates Using OMI SO(2) Retrievals for 2005–2017
title_short SO(2) Emission Estimates Using OMI SO(2) Retrievals for 2005–2017
title_sort so(2) emission estimates using omi so(2) retrievals for 2005–2017
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853235/
https://www.ncbi.nlm.nih.gov/pubmed/31763109
http://dx.doi.org/10.1029/2019JD030243
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