Top‐down isoprene emissions over tropical South America inferred from SCIAMACHY and OMI formaldehyde columns
Identifieur interne : 000191 ( Main/Exploration ); précédent : 000190; suivant : 000192Top‐down isoprene emissions over tropical South America inferred from SCIAMACHY and OMI formaldehyde columns
Auteurs : Michael P. Barkley [Royaume-Uni] ; Isabelle De Smedt [Belgique] ; Michel Van Oozendael [Belgique] ; Thomas P. Kurosu [États-Unis] ; Kelly Chance [États-Unis] ; Almut Arneth [Suède, Allemagne] ; Daniel Hagberg [Suède] ; Alex Guenther [États-Unis] ; Fabien Paulot [États-Unis] ; Eloise Marais [États-Unis] ; Jingqiu Mao [États-Unis]Source :
- Journal of Geophysical Research: Atmospheres [ 2169-897X ] ; 2013-06-27.
Abstract
We use formaldehyde (HCHO) vertical column measurements from the Scanning Imaging Absorption spectrometer for Atmospheric Chartography (SCIAMACHY) and Ozone Monitoring Instrument (OMI), and a nested‐grid version of the GEOS‐Chem chemistry transport model, to infer an ensemble of top‐down isoprene emission estimates from tropical South America during 2006, using different model configurations and assumptions in the HCHO air‐mass factor (AMF) calculation. Scenes affected by biomass burning are removed on a daily basis using fire count observations, and we use the local model sensitivity to identify locations where the impact of spatial smearing is small, though this comprises spatial coverage over the region. We find that the use of the HCHO column data more tightly constrains the ensemble isoprene emission range from 27–61 Tg C to 31–38 Tg C for SCIAMACHY, and 45–104 Tg C to 28–38 Tg C for OMI. Median uncertainties of the top‐down emissions are about 60–260% for SCIAMACHY, and 10–90% for OMI. We find that the inferred emissions are most sensitive to uncertainties in cloud fraction and cloud top pressure (differences of ±10%), the a priori isoprene emissions (±20%), and the HCHO vertical column retrieval (±30%). Construction of continuous top‐down emission maps generally improves GEOS‐Chem's simulation of HCHO columns over the region, with respect to both the SCIAMACHY and OMI data. However, if local time top‐down emissions are scaled to monthly mean values, the annual emission inferred from SCIAMACHY are nearly twice those from OMI. This difference cannot be explained by the different sampling of the sensors or uncertainties in the AMF calculation.
Url:
DOI: 10.1002/jgrd.50552
Affiliations:
- Allemagne, Belgique, Royaume-Uni, Suède, États-Unis
- Bade-Wurtemberg, District de Karlsruhe, Massachusetts, New Jersey, Région de Bruxelles-Capitale
- Bruxelles, Cambridge (Massachusetts), Karlsruhe, Princeton (New Jersey)
- Université Harvard, Université de Princeton
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Geophys. Res. Atmos.</title><idno type="ISSN">2169-897X</idno><idno type="eISSN">2169-8996</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><date type="published" when="2013-06-27">2013-06-27</date><biblScope unit="volume">118</biblScope><biblScope unit="issue">12</biblScope><biblScope unit="page" from="6849">6849</biblScope><biblScope unit="page" to="6868">6868</biblScope></imprint><idno type="ISSN">2169-897X</idno></series><idno type="istex">2B17911D126F649DA7A07C25F4779BAA33FE0E71</idno><idno type="DOI">10.1002/jgrd.50552</idno><idno type="ArticleID">JGRD50552</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">2169-897X</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">We use formaldehyde (HCHO) vertical column measurements from the Scanning Imaging Absorption spectrometer for Atmospheric Chartography (SCIAMACHY) and Ozone Monitoring Instrument (OMI), and a nested‐grid version of the GEOS‐Chem chemistry transport model, to infer an ensemble of top‐down isoprene emission estimates from tropical South America during 2006, using different model configurations and assumptions in the HCHO air‐mass factor (AMF) calculation. Scenes affected by biomass burning are removed on a daily basis using fire count observations, and we use the local model sensitivity to identify locations where the impact of spatial smearing is small, though this comprises spatial coverage over the region. We find that the use of the HCHO column data more tightly constrains the ensemble isoprene emission range from 27–61 Tg C to 31–38 Tg C for SCIAMACHY, and 45–104 Tg C to 28–38 Tg C for OMI. Median uncertainties of the top‐down emissions are about 60–260% for SCIAMACHY, and 10–90% for OMI. We find that the inferred emissions are most sensitive to uncertainties in cloud fraction and cloud top pressure (differences of ±10%), the a priori isoprene emissions (±20%), and the HCHO vertical column retrieval (±30%). Construction of continuous top‐down emission maps generally improves GEOS‐Chem's simulation of HCHO columns over the region, with respect to both the SCIAMACHY and OMI data. However, if local time top‐down emissions are scaled to monthly mean values, the annual emission inferred from SCIAMACHY are nearly twice those from OMI. This difference cannot be explained by the different sampling of the sensors or uncertainties in the AMF calculation.</div></front></TEI><affiliations><list><country><li>Allemagne</li><li>Belgique</li><li>Royaume-Uni</li><li>Suède</li><li>États-Unis</li></country><region><li>Bade-Wurtemberg</li><li>District de Karlsruhe</li><li>Massachusetts</li><li>New Jersey</li><li>Région de Bruxelles-Capitale</li></region><settlement><li>Bruxelles</li><li>Cambridge (Massachusetts)</li><li>Karlsruhe</li><li>Princeton (New Jersey)</li></settlement><orgName><li>Université Harvard</li><li>Université de Princeton</li></orgName></list><tree><country name="Royaume-Uni"><noRegion><name sortKey="Barkley, Michael P" sort="Barkley, Michael P" uniqKey="Barkley M" first="Michael P." last="Barkley">Michael P. Barkley</name></noRegion></country><country name="Belgique"><region name="Région de Bruxelles-Capitale"><name sortKey="Smedt, Isabelle De" sort="Smedt, Isabelle De" uniqKey="Smedt I" first="Isabelle De" last="Smedt">Isabelle De Smedt</name></region><name sortKey="Van Oozendael, Michel" sort="Van Oozendael, Michel" uniqKey="Van Oozendael M" first="Michel" last="Van Oozendael">Michel Van Oozendael</name></country><country name="États-Unis"><region name="Massachusetts"><name sortKey="Kurosu, Thomas P" sort="Kurosu, Thomas P" uniqKey="Kurosu T" first="Thomas P." last="Kurosu">Thomas P. Kurosu</name></region><name sortKey="Chance, Kelly" sort="Chance, Kelly" uniqKey="Chance K" first="Kelly" last="Chance">Kelly Chance</name><name sortKey="Guenther, Alex" sort="Guenther, Alex" uniqKey="Guenther A" first="Alex" last="Guenther">Alex Guenther</name><name sortKey="Kurosu, Thomas P" sort="Kurosu, Thomas P" uniqKey="Kurosu T" first="Thomas P." last="Kurosu">Thomas P. Kurosu</name><name sortKey="Mao, Jingqiu" sort="Mao, Jingqiu" uniqKey="Mao J" first="Jingqiu" last="Mao">Jingqiu Mao</name><name sortKey="Marais, Eloise" sort="Marais, Eloise" uniqKey="Marais E" first="Eloise" last="Marais">Eloise Marais</name><name sortKey="Paulot, Fabien" sort="Paulot, Fabien" uniqKey="Paulot F" first="Fabien" last="Paulot">Fabien Paulot</name></country><country name="Suède"><noRegion><name sortKey="Arneth, Almut" sort="Arneth, Almut" uniqKey="Arneth A" first="Almut" last="Arneth">Almut Arneth</name></noRegion><name sortKey="Hagberg, Daniel" sort="Hagberg, Daniel" uniqKey="Hagberg D" first="Daniel" last="Hagberg">Daniel Hagberg</name></country><country name="Allemagne"><region name="Bade-Wurtemberg"><name sortKey="Arneth, Almut" sort="Arneth, Almut" uniqKey="Arneth A" first="Almut" last="Arneth">Almut Arneth</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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