Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition?
<p>Improvements in air quality and Earth's climate predictions require improvements of the aerosol speciation in chemical transport models, using observational constraints. Aerosol speciation (e.g., organic aerosols, black carbon, sulfate, nitrate, ammonium, dust or sea salt) is typically...
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Copernicus Publications
2022-03-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://acp.copernicus.org/articles/22/3713/2022/acp-22-3713-2022.pdf |
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| author | M. S. F. Kacenelenbogen Q. Tan Q. Tan S. P. Burton O. P. Hasekamp K. D. Froyd Y. Shinozuka Y. Shinozuka A. J. Beyersdorf L. Ziemba K. L. Thornhill J. E. Dibb T. Shingler A. Sorooshian R. W. Espinosa R. W. Espinosa V. Martins J. L. Jimenez P. Campuzano-Jost J. P. Schwarz M. S. Johnson J. Redemann G. L. Schuster |
| author_facet | M. S. F. Kacenelenbogen Q. Tan Q. Tan S. P. Burton O. P. Hasekamp K. D. Froyd Y. Shinozuka Y. Shinozuka A. J. Beyersdorf L. Ziemba K. L. Thornhill J. E. Dibb T. Shingler A. Sorooshian R. W. Espinosa R. W. Espinosa V. Martins J. L. Jimenez P. Campuzano-Jost J. P. Schwarz M. S. Johnson J. Redemann G. L. Schuster |
| author_sort | M. S. F. Kacenelenbogen |
| collection | DOAJ |
| description | <p>Improvements in air quality and Earth's climate
predictions require improvements of the aerosol speciation in chemical
transport models, using observational constraints. Aerosol speciation (e.g.,
organic aerosols, black carbon, sulfate, nitrate, ammonium, dust or sea
salt) is typically determined using in situ instrumentation. Continuous, routine
aerosol composition measurements from ground-based networks are not
uniformly widespread over the globe. Satellites, on the other hand, can
provide a maximum coverage of the horizontal and vertical atmosphere but
observe aerosol optical properties (and not aerosol speciation) based on
remote sensing instrumentation. Combinations of satellite-derived aerosol
optical properties can inform on air mass aerosol types (AMTs). However,
these AMTs are subjectively defined, might often be misclassified and are
hard to relate to the critical parameters that need to be refined in models.</p>
<p>In this paper, we derive AMTs that are more directly related to sources and
hence to speciation. They are defined, characterized and derived using
simultaneous in situ gas-phase, chemical and optical instruments on the same
aircraft during the Study of Emissions and Atmospheric Composition, Clouds,
and Climate Coupling by Regional Surveys (SEAC<span class="inline-formula"><sup>4</sup></span>RS, an airborne field
campaign carried out over the US during the summer of 2013). We find
distinct optical signatures for AMTs such as biomass burning (from
agricultural or wildfires), biogenic and polluted dust. We find that all
four AMTs, studied when prescribed using mostly airborne in situ gas measurements,
can be successfully extracted from a few combinations of airborne in situ aerosol
optical properties (e.g., extinction Ångström exponent, absorption Ångström
exponent and real refractive index). However, we find that the optically
based classifications for biomass burning from agricultural fires and
polluted dust include a large percentage of misclassifications that limit
the usefulness of results related to those classes.</p>
<p>The technique and results presented in this study are suitable to develop a
representative, robust and diverse source-based AMT database. This database
could then be used for widespread retrievals of AMTs using existing and
future remote sensing suborbital instruments/networks. Ultimately, it has
the potential to provide a much broader observational aerosol dataset to
evaluate chemical transport and air quality models than is currently
available by direct in situ measurements. This study illustrates how essential it
is to explore existing airborne datasets to bridge chemical and optical
signatures of different AMTs, before the implementation of future spaceborne
missions (e.g., the next generation of Earth Observing System (EOS)
satellites addressing Aerosols, Cloud, Convection and Precipitation (ACCP)
designated observables).</p> |
| first_indexed | 2024-12-13T09:59:46Z |
| format | Article |
| id | doaj.art-120cd3f83f4d4f8fa6b818625ad0f260 |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-13T09:59:46Z |
| publishDate | 2022-03-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-120cd3f83f4d4f8fa6b818625ad0f2602022-12-21T23:51:41ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242022-03-01223713374210.5194/acp-22-3713-2022Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition?M. S. F. Kacenelenbogen0Q. Tan1Q. Tan2S. P. Burton3O. P. Hasekamp4K. D. Froyd5Y. Shinozuka6Y. Shinozuka7A. J. Beyersdorf8L. Ziemba9K. L. Thornhill10J. E. Dibb11T. Shingler12A. Sorooshian13R. W. Espinosa14R. W. Espinosa15V. Martins16J. L. Jimenez17P. Campuzano-Jost18J. P. Schwarz19M. S. Johnson20J. Redemann21G. L. Schuster22NASA Ames Research Center, Moffett Field, CA 94035, USANASA Ames Research Center, Moffett Field, CA 94035, USABay Area Environmental Research Institute (BAERI), Moffett Field, CA 94035, USANASA Langley Research Center, Hampton, VA 23666, USASRON, Netherlands Institute for Space Research, Utrecht, 3584, NetherlandsCooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, Boulder, CO, 80309 USANASA Ames Research Center, Moffett Field, CA 94035, USABay Area Environmental Research Institute (BAERI), Moffett Field, CA 94035, USADepartment of Chemistry and Biochemistry, California State University, San Bernardino (CSUSB), San Bernardino, CA 92407, USANASA Langley Research Center, Hampton, VA 23666, USANASA Langley Research Center, Hampton, VA 23666, USADepartment of Geochemistry, University of New Hampshire, Durham, NH 03824, USADepartment of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ 85721, USADepartment of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ 85721, USANASA Goddard Space Flight Center, Greenbelt, MD 20771, USADepartment of Physics, University of Maryland Baltimore County (UMBC), Baltimore, MD 21250, USADepartment of Physics, University of Maryland Baltimore County (UMBC), Baltimore, MD 21250, USACooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, Boulder, CO, 80309 USACooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, Boulder, CO, 80309 USAChemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO 80305, USANASA Ames Research Center, Moffett Field, CA 94035, USASchool of Meteorology, University of Oklahoma, Norman, OK 73019, USANASA Langley Research Center, Hampton, VA 23666, USA<p>Improvements in air quality and Earth's climate predictions require improvements of the aerosol speciation in chemical transport models, using observational constraints. Aerosol speciation (e.g., organic aerosols, black carbon, sulfate, nitrate, ammonium, dust or sea salt) is typically determined using in situ instrumentation. Continuous, routine aerosol composition measurements from ground-based networks are not uniformly widespread over the globe. Satellites, on the other hand, can provide a maximum coverage of the horizontal and vertical atmosphere but observe aerosol optical properties (and not aerosol speciation) based on remote sensing instrumentation. Combinations of satellite-derived aerosol optical properties can inform on air mass aerosol types (AMTs). However, these AMTs are subjectively defined, might often be misclassified and are hard to relate to the critical parameters that need to be refined in models.</p> <p>In this paper, we derive AMTs that are more directly related to sources and hence to speciation. They are defined, characterized and derived using simultaneous in situ gas-phase, chemical and optical instruments on the same aircraft during the Study of Emissions and Atmospheric Composition, Clouds, and Climate Coupling by Regional Surveys (SEAC<span class="inline-formula"><sup>4</sup></span>RS, an airborne field campaign carried out over the US during the summer of 2013). We find distinct optical signatures for AMTs such as biomass burning (from agricultural or wildfires), biogenic and polluted dust. We find that all four AMTs, studied when prescribed using mostly airborne in situ gas measurements, can be successfully extracted from a few combinations of airborne in situ aerosol optical properties (e.g., extinction Ångström exponent, absorption Ångström exponent and real refractive index). However, we find that the optically based classifications for biomass burning from agricultural fires and polluted dust include a large percentage of misclassifications that limit the usefulness of results related to those classes.</p> <p>The technique and results presented in this study are suitable to develop a representative, robust and diverse source-based AMT database. This database could then be used for widespread retrievals of AMTs using existing and future remote sensing suborbital instruments/networks. Ultimately, it has the potential to provide a much broader observational aerosol dataset to evaluate chemical transport and air quality models than is currently available by direct in situ measurements. This study illustrates how essential it is to explore existing airborne datasets to bridge chemical and optical signatures of different AMTs, before the implementation of future spaceborne missions (e.g., the next generation of Earth Observing System (EOS) satellites addressing Aerosols, Cloud, Convection and Precipitation (ACCP) designated observables).</p>https://acp.copernicus.org/articles/22/3713/2022/acp-22-3713-2022.pdf |
| spellingShingle | M. S. F. Kacenelenbogen Q. Tan Q. Tan S. P. Burton O. P. Hasekamp K. D. Froyd Y. Shinozuka Y. Shinozuka A. J. Beyersdorf L. Ziemba K. L. Thornhill J. E. Dibb T. Shingler A. Sorooshian R. W. Espinosa R. W. Espinosa V. Martins J. L. Jimenez P. Campuzano-Jost J. P. Schwarz M. S. Johnson J. Redemann G. L. Schuster Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition? Atmospheric Chemistry and Physics |
| title | Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition? |
| title_full | Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition? |
| title_fullStr | Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition? |
| title_full_unstemmed | Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition? |
| title_short | Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition? |
| title_sort | identifying chemical aerosol signatures using optical suborbital observations how much can optical properties tell us about aerosol composition |
| url | https://acp.copernicus.org/articles/22/3713/2022/acp-22-3713-2022.pdf |
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