Retrieving near-global aerosol loading over land and ocean from AVHRR

dc.contributor.authorHsu, N. C.
dc.contributor.authorLee, J.
dc.contributor.authorSayer, Andrew
dc.contributor.authorCarletta, N.
dc.contributor.authorChen, S.-H.
dc.contributor.authorTucker, C. J.
dc.contributor.authorHolben, B. N.
dc.contributor.authorTsay, S.-C.
dc.date.accessioned2024-04-29T17:00:59Z
dc.date.available2024-04-29T17:00:59Z
dc.date.issued2017-07-20
dc.description.abstractThe spaceborne advanced very high resolution radiometer (AVHRR) sensor data record is approaching 40 years, providing a crucial asset for studying long-term trends of aerosol properties regionally and globally. However, due to limitations of its channels' information content, aerosol optical depth (AOD) data from AVHRR over land are still largely lacking. In this paper, we describe a new physics-based algorithm to retrieve aerosol loading over both land and ocean from AVHRR for the first time. The over-land algorithm is an extension of our Sea-viewing Wide Field-of-view Sensor and Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue algorithm, while a simplified version of our Satellite Ocean Aerosol Retrieval algorithm is used over ocean. We compare retrieved AVHRR AOD with that from MODIS on a daily and seasonal basis and find, in general, good agreement between the two. For the satellites with equatorial crossing times within 2 h of solar noon, the spatial coverage of the AVHRR aerosol product is comparable to that of MODIS, except over very bright arid regions (such as the Sahara), where the underlying surface reflectance at 630 nm reaches the critical surface reflectance. Based upon comparisons of the AVHRR AOD against Aerosol Robotic Network data, preliminary results indicate that the expected error confidence interval envelope is around ±(0.03 + 15%) over ocean and ±(0.05 + 25%) over land for this first version of the AVHRR aerosol products. Consequently, these new AVHRR aerosol products can contribute important building blocks for constructing a consistent long-term data record for climate studies.
dc.description.sponsorshipThis work was supported by the NASA Radiation Sciences Program, managed by Hal Maring. The AVHRR Deep Blue data described in this work are freely available to download from https://portal.nccs.nasa.gov/datashare/AVHRRDeepBlue/. Data hosting resources were provided by the NASA High-End Computing (HEC) Program through the NASA Center for Climate Simulation (NCCS) at Goddard Space Flight Center. NOAA L1B GAC data were obtained from https://www.class.ncdc.noaa.gov. MERRA2 data were obtained from NASA's Goddard Earth Sciences Data and Information Services Center (https://disc.gsfc.nasa.gov). We would also like to express our gratitude to AERONET site PIs (https://aeronet.gsfc.nasa.gov) in establishing and maintaining the long-term stations used in this investigation. The authors thank three anonymous reviewers for their helpful suggestions.
dc.description.urihttps://onlinelibrary.wiley.com/doi/abs/10.1002/2017JD026932
dc.format.extent22 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2ju8l-hidm
dc.identifier.citationHsu, N. C., J. Lee, A. M. Sayer, N. Carletta, S.-H. Chen, C. J. Tucker, B. N. Holben, and S.-C. Tsay. “Retrieving Near-Global Aerosol Loading over Land and Ocean from AVHRR.” Journal of Geophysical Research: Atmospheres 122, no. 18 (2017): 9968–89. https://doi.org/10.1002/2017JD026932.
dc.identifier.urihttps://doi.org/10.1002/2017JD026932
dc.identifier.urihttp://hdl.handle.net/11603/33386
dc.language.isoen_US
dc.publisherAGU
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC GESTAR II
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.subjectaerosol
dc.subjectAVHRR
dc.subjectretrieval
dc.subjectsatellite
dc.titleRetrieving near-global aerosol loading over land and ocean from AVHRR
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0001-9149-1789

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