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Titel |
Using the OMI aerosol index and absorption aerosol optical depth to evaluate the NASA MERRA Aerosol Reanalysis |
VerfasserIn |
V. Buchard, A. M. Silva, P. R. Colarco, A. Darmenov, C. A. Randles, R. Govindaraju, O. Torres, J. Campbell, R. Spurr |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1680-7316
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Digitales Dokument |
URL |
Erschienen |
In: Atmospheric Chemistry and Physics ; 15, no. 10 ; Nr. 15, no. 10 (2015-05-26), S.5743-5760 |
Datensatznummer |
250119753
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Publikation (Nr.) |
copernicus.org/acp-15-5743-2015.pdf |
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Zusammenfassung |
A radiative transfer interface has been developed to simulate the UV aerosol
index (AI) from the NASA Goddard Earth Observing System version 5 (GEOS-5)
aerosol assimilated fields. The purpose of this work is to use the AI and
aerosol absorption optical depth (AAOD) derived from the Ozone Monitoring
Instrument (OMI) measurements as independent validation for the Modern Era
Retrospective analysis for Research and Applications Aerosol Reanalysis
(MERRAero). MERRAero is based on a version of the GEOS-5 model that is
radiatively coupled to the Goddard Chemistry, Aerosol, Radiation, and
Transport (GOCART) aerosol module and includes assimilation of aerosol
optical depth (AOD) from the Moderate Resolution Imaging Spectroradiometer
(MODIS) sensor. Since AI is dependent on aerosol concentration, optical
properties and altitude of the aerosol layer, we make use of complementary
observations to fully diagnose the model, including AOD from the Multi-angle
Imaging SpectroRadiometer (MISR), aerosol retrievals from the AErosol RObotic
NETwork (AERONET) and attenuated backscatter coefficients from the
Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO)
mission to ascertain potential misplacement of plume height by the model. By
sampling dust, biomass burning and pollution events in 2007 we have compared
model-produced AI and AAOD with the corresponding OMI products, identifying
regions where the model representation of absorbing aerosols was deficient.
As a result of this study over the Saharan dust region, we have obtained a
new set of dust aerosol optical properties that retains consistency with the
MODIS AOD data that were assimilated, while resulting in better agreement
with aerosol absorption measurements from OMI. The analysis conducted over
the southern African and South American biomass burning regions indicates that
revising the spectrally dependent aerosol absorption properties in the
near-UV region improves the modeled-observed AI comparisons. Finally, during
a period where the Asian region was mainly dominated by anthropogenic
aerosols, we have performed a qualitative analysis in which the specification
of anthropogenic emissions in GEOS-5 is adjusted to provide insight into
discrepancies observed in AI comparisons. |
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