Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Abstract. We invert global black carbon (BC), organic carbon (OC) and desert dust (DD) aerosol emissions from POLDER/PARASOL spectral aerosol optical depth (AOD) and aerosol absorption optical depth (AAOD) using the GEOS-Chem inverse modeling framework. Our inverse modeling framework uses standard a priori emissions to provide a posteriori emissions that are constrained by POLDER/PARASOL AODs and AAODs. The following global emission values were retrieved for the three aerosol components: 18.4 Tg yr−1 for BC, 109.9 Tg yr−1 for OC and 731.6 Tg yr−1 for DD for the year 2010. These values show a difference of +166.7 %, +184.0 % and −42.4 %, respectively, with respect to the a priori values of emission inventories used in “standard” GEOS-Chem runs. The model simulations using a posteriori emissions (i.e., retrieved emissions) provide values of 0.119 for global mean AOD and 0.0071 for AAOD at 550 nm, which are +13.3 % and +82.1 %, respectively, higher than the AOD and AAOD obtained using the a priori values of emissions. Additionally, the a posteriori model simulation of AOD, AAOD, single scattering albedo, Ångström exponent and absorption Ångström exponent show better agreement with independent AERONET, MODIS and OMI measurements than the a priori simulation. Thus, this study suggests that using satellite-constrained global aerosol emissions in aerosol transport models can improve the accuracy of simulated global aerosol properties.

          Related collections

          Most cited references109

          • Record: found
          • Abstract: not found
          • Article: not found

          AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            The MODIS Aerosol Algorithm, Products, and Validation

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Bounding the role of black carbon in the climate system: A scientific assessment

                Bookmark

                Author and article information

                Contributors
                Journal
                Atmospheric Chemistry and Physics
                Atmos. Chem. Phys.
                Copernicus GmbH
                1680-7324
                2019
                December 03 2019
                : 19
                : 23
                : 14585-14606
                Article
                10.5194/acp-19-14585-2019
                94a7a1e3-4ca0-478d-9f6e-4db47f73d36c
                © 2019

                https://creativecommons.org/licenses/by/4.0/

                History

                Comments

                Comment on this article