High spatial resolution aerosol retrieval with MAIAC: Application to mountain regions

dc.contributor.authorEmili, E.
dc.contributor.authorLyapustin, A.
dc.contributor.authorWang, Yujie
dc.contributor.authorPopp, C.
dc.contributor.authorKorkin, Sergey
dc.contributor.authorZebisch, M.
dc.contributor.authorWunderle, S.
dc.contributor.authorPetitta, M.
dc.date.accessioned2024-09-04T19:58:14Z
dc.date.available2024-09-04T19:58:14Z
dc.date.issued2011-12-15
dc.description.abstractAerosol spatial distribution in populated mountain areas is very heterogeneous and often characterized by scales of variability of several kilometers. Satellites provide an effective tool to map aerosols on an operational basis, but most of the aerosol products intended for continental/global applications have a coarse spatial resolution (10–18 km). The Multiangle Implementation of Atmospheric Correction (MAIAC) is a recently developed algorithm for the Moderate Resolution Imaging Spectroradiometer (MODIS), which provides Aerosol Optical Depth (AOD) at a high resolution of 1 km. We analyze the quality and potential of MAIAC AOD in the Alpine region and we derive high resolution AOD maps for the years 2008 and 2009. Cloudiness and snow in mountain regions occasionally lead to an overestimation of AOD due to unresolved cloud and snow pixel contamination. Therefore, we developed a filter that almost preserves the spatial resolution of the product to ensure the good accuracy of MAIAC AOD for air-quality and climatological applications. The AOD is validated with AERONET measurements in the region and compared to the standard MODIS AOD product (MOD04). Similar accuracies are found for both products (RMSE = 0.05) but with MAIAC providing about 50% more observations at the examined locations, because of its higher spatial resolution and less restrictive filtering. Comparison with ground measurements of aerosol mass (PM₁₀) shows that MAIAC AOD can be used to detect the fine scales of aerosol variability (2–3 km) in the mountains. Finally, AOD maps for the Alpine region demonstrate that topography is correlated with the average aerosol spatial distribution.
dc.description.sponsorshipThis research was supported by the Armasuisse, Science and Technology, and the autonomous province of Bolzano (Italy). The work of A. Lyapustin, Y. Wang, and S. Korkin was funded by the NASA Terrestrial Ecology Program (D. Wickland), NASA Applications Program (L. Friedl and B. Doorn), and in part by the NOAA GOES-R program (M. Goldberg). We thank the AERONET PIs for providing sun-photometers data, NABEL and APPA for providing PM10 data. We thank Lorraine Remer and two anonymous reviewers for valuable comments which helped to improve the manuscript. We also thank Armin Costa and Roberto Monsorno for the technical support.
dc.description.urihttps://onlinelibrary.wiley.com/doi/abs/10.1029/2011JD016297
dc.format.extent12 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2sqyd-fpuy
dc.identifier.citationEmili, E., A. Lyapustin, Y. Wang, C. Popp, S. Korkin, M. Zebisch, S. Wunderle, and M. Petitta. “High Spatial Resolution Aerosol Retrieval with MAIAC: Application to Mountain Regions.” Journal of Geophysical Research: Atmospheres 116, no. D23 (2011). https://doi.org/10.1029/2011JD016297.
dc.identifier.urihttps://doi.org/10.1029/2011JD016297
dc.identifier.urihttp://hdl.handle.net/11603/35938
dc.language.isoen_US
dc.publisherAGU
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC GESTAR II
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology (JCET)
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.subjectMODIS
dc.subjectPM10
dc.subjecthigh spatial resolution
dc.subjectmountains
dc.subjectAOD
dc.subjectMAIAC
dc.titleHigh spatial resolution aerosol retrieval with MAIAC: Application to mountain regions
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-5576-6711
dcterms.creatorhttps://orcid.org/0000-0001-6514-5233

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
JournalofGeophysicalResearchAtmospheres2011EmiliHighspatialresolutionaerosolretrievalwithMAIAC.pdf
Size:
3.09 MB
Format:
Adobe Portable Document Format