A new global anthropogenic SO<sub>2</sub> emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissions
<p>Sulfur dioxide (SO<sub>2</sub>) measurements from the Ozone Monitoring Instrument (OMI) satellite sensor have been used to detect emissions from large point sources. Emissions from over 400 sources have been quantified individually based on OMI observations, accounting for ab...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2018-11-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://www.atmos-chem-phys.net/18/16571/2018/acp-18-16571-2018.pdf |
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| author | F. Liu F. Liu S. Choi S. Choi C. Li C. Li V. E. Fioletov C. A. McLinden J. Joiner N. A. Krotkov H. Bian H. Bian G. Janssens-Maenhout A. S. Darmenov A. M. da Silva |
| author_facet | F. Liu F. Liu S. Choi S. Choi C. Li C. Li V. E. Fioletov C. A. McLinden J. Joiner N. A. Krotkov H. Bian H. Bian G. Janssens-Maenhout A. S. Darmenov A. M. da Silva |
| author_sort | F. Liu |
| collection | DOAJ |
| description | <p>Sulfur dioxide (SO<sub>2</sub>) measurements from the Ozone Monitoring
Instrument (OMI) satellite sensor have been used to detect emissions from
large point sources. Emissions from over 400 sources have been quantified
individually based on OMI observations, accounting for about a half of total
reported anthropogenic SO<sub>2</sub> emissions. Here we report a newly
developed emission inventory, OMI-HTAP, by combining these OMI-based emission
estimates and the conventional bottom-up inventory, HTAP, for smaller sources
that OMI is not able to detect. OMI-HTAP includes emissions from OMI-detected
sources that are not captured in previous leading bottom-up inventories,
enabling more accurate emission estimates for regions with such missing
sources. In addition, our approach offers the possibility of rapid updates to
emissions from large point sources that can be detected by satellites. Our
methodology applied to OMI-HTAP can also be used to merge improved
satellite-derived estimates with other multi-year bottom-up inventories,
which may further improve the accuracy of the emission trends. OMI-HTAP
SO<sub>2</sub> emissions estimates for Persian Gulf, Mexico, and Russia are
59 %, 65 %, and 56 % larger than HTAP estimates in
2010, respectively. We have evaluated the OMI-HTAP inventory by performing simulations
with the Goddard Earth Observing System version 5 (GEOS-5) model. The GEOS-5
simulated SO<sub>2</sub> concentrations driven by both HTAP and OMI-HTAP were
compared against in situ measurements. We focus for the validation on
2010 for which HTAP is most valid and for which a relatively large number of
in situ measurements are available. Results show that the OMI-HTAP inventory
improves the agreement between the model and observations, in particular over
the US, with the normalized mean bias decreasing from 0.41 (HTAP) to −0.03
(OMI-HTAP) for 2010. Simulations with the OMI-HTAP inventory capture the
worldwide major trends of large anthropogenic SO<sub>2</sub> emissions that are
observed with OMI. Correlation coefficients of the observed and modeled
surface SO<sub>2</sub> in 2014 increase from 0.16 (HTAP) to 0.59 (OMI-HTAP) and
the normalized mean bias dropped from 0.29 (HTAP) to 0.05 (OMI-HTAP), when we
updated 2010 HTAP emissions with 2014 OMI-HTAP emissions in the model.</p> |
| first_indexed | 2024-12-10T09:56:48Z |
| format | Article |
| id | doaj.art-48341c55629643168fc6fb5c26f26a1f |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-10T09:56:48Z |
| publishDate | 2018-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-48341c55629643168fc6fb5c26f26a1f2022-12-22T01:53:27ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242018-11-0118165711658610.5194/acp-18-16571-2018A new global anthropogenic SO<sub>2</sub> emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissionsF. Liu0F. Liu1S. Choi2S. Choi3C. Li4C. Li5V. E. Fioletov6C. A. McLinden7J. Joiner8N. A. Krotkov9H. Bian10H. Bian11G. Janssens-Maenhout12A. S. Darmenov13A. M. da Silva14Universities Space Research Association (USRA), GESTAR, Columbia, MD, USANASA Goddard Space Flight Center, Greenbelt, MD, USANASA Goddard Space Flight Center, Greenbelt, MD, USAScience Systems and Applications Inc., Lanham, MD, USANASA Goddard Space Flight Center, Greenbelt, MD, USAEarth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USAAir Quality Research Division, Environment and Climate Change Canada, Toronto, ON, CanadaAir Quality Research Division, Environment and Climate Change Canada, Toronto, ON, CanadaNASA Goddard Space Flight Center, Greenbelt, MD, USANASA Goddard Space Flight Center, Greenbelt, MD, USANASA Goddard Space Flight Center, Greenbelt, MD, USAGoddard Earth Sciences and Technology Center, University of Maryland, Baltimore, MD, USAEuropean Commission, Joint Research Centre, Institute for Environment and Sustainability, Via Fermi, Ispra (VA), ItalyNASA Goddard Space Flight Center, Greenbelt, MD, USANASA Goddard Space Flight Center, Greenbelt, MD, USA<p>Sulfur dioxide (SO<sub>2</sub>) measurements from the Ozone Monitoring Instrument (OMI) satellite sensor have been used to detect emissions from large point sources. Emissions from over 400 sources have been quantified individually based on OMI observations, accounting for about a half of total reported anthropogenic SO<sub>2</sub> emissions. Here we report a newly developed emission inventory, OMI-HTAP, by combining these OMI-based emission estimates and the conventional bottom-up inventory, HTAP, for smaller sources that OMI is not able to detect. OMI-HTAP includes emissions from OMI-detected sources that are not captured in previous leading bottom-up inventories, enabling more accurate emission estimates for regions with such missing sources. In addition, our approach offers the possibility of rapid updates to emissions from large point sources that can be detected by satellites. Our methodology applied to OMI-HTAP can also be used to merge improved satellite-derived estimates with other multi-year bottom-up inventories, which may further improve the accuracy of the emission trends. OMI-HTAP SO<sub>2</sub> emissions estimates for Persian Gulf, Mexico, and Russia are 59 %, 65 %, and 56 % larger than HTAP estimates in 2010, respectively. We have evaluated the OMI-HTAP inventory by performing simulations with the Goddard Earth Observing System version 5 (GEOS-5) model. The GEOS-5 simulated SO<sub>2</sub> concentrations driven by both HTAP and OMI-HTAP were compared against in situ measurements. We focus for the validation on 2010 for which HTAP is most valid and for which a relatively large number of in situ measurements are available. Results show that the OMI-HTAP inventory improves the agreement between the model and observations, in particular over the US, with the normalized mean bias decreasing from 0.41 (HTAP) to −0.03 (OMI-HTAP) for 2010. Simulations with the OMI-HTAP inventory capture the worldwide major trends of large anthropogenic SO<sub>2</sub> emissions that are observed with OMI. Correlation coefficients of the observed and modeled surface SO<sub>2</sub> in 2014 increase from 0.16 (HTAP) to 0.59 (OMI-HTAP) and the normalized mean bias dropped from 0.29 (HTAP) to 0.05 (OMI-HTAP), when we updated 2010 HTAP emissions with 2014 OMI-HTAP emissions in the model.</p>https://www.atmos-chem-phys.net/18/16571/2018/acp-18-16571-2018.pdf |
| spellingShingle | F. Liu F. Liu S. Choi S. Choi C. Li C. Li V. E. Fioletov C. A. McLinden J. Joiner N. A. Krotkov H. Bian H. Bian G. Janssens-Maenhout A. S. Darmenov A. M. da Silva A new global anthropogenic SO<sub>2</sub> emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissions Atmospheric Chemistry and Physics |
| title | A new global anthropogenic SO<sub>2</sub> emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissions |
| title_full | A new global anthropogenic SO<sub>2</sub> emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissions |
| title_fullStr | A new global anthropogenic SO<sub>2</sub> emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissions |
| title_full_unstemmed | A new global anthropogenic SO<sub>2</sub> emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissions |
| title_short | A new global anthropogenic SO<sub>2</sub> emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissions |
| title_sort | new global anthropogenic so sub 2 sub emission inventory for the last decade a mosaic of satellite derived and bottom up emissions |
| url | https://www.atmos-chem-phys.net/18/16571/2018/acp-18-16571-2018.pdf |
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