NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 2 Aerosol Detection (ADP)


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            title:  NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 2 Aerosol Detection (ADP)
            alternateTitle:  ABI-L2-ADP
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                date:  2017-12-12
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        abstract:  The Aerosol Detection product contains three images in the form of binary masks that identify the presence of aerosols, dust, and smoke. The aerosol mask indicates the presence of either smoke or dust. The dust and smoke masks indicate the presence of dust and smoke, respectively. Because the presence of smoke and dust are independently derived, a given pixel can be identified with both dust and smoke. The product includes data quality information for on-earth pixels. The binary aerosol, dust, and smoke mask values are dimensionless quantities. The Aerosol Detection product images are produced on the ABI fixed grid at 2 km resolution for Full Disk, CONUS and Mesoscale coverage regions. Product data is produced under the following conditions: Clear sky; Snow-free; Geolocated source data to local zenith angles of 90 degrees and to solar zenith angles of 87 degrees.
        purpose:  The Aerosol Detection product will use several spectral bands made available on the GOES-R imager. The algorithm will use known spectral absorption and scattering properties of different aerosols to detect their presence in the atmosphere. The Aerosol Detection product will enable forecasters to better monitor areas of smoke and dust, which can be critical factors in visibility and air quality forecasts. In addition to short-term prediction, this product will also enable better monitoring of the long-term trends in aerosol quantities and distribution throughout the atmosphere.
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            fileDescription:  MODIS visible color composite image (left) of a British Columbia, Canada fire event on 19 August 2003 and the resulting smoke flag product generated by the GOES-R Aerosol Detection algorithm (right).
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            otherConstraints:  Cite as: GOES-R Algorithm Working Group and GOES-R Series Program, (2017): NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 2 Aerosol Detection (ADP). [indicate subset used]. NOAA National Centers for Environmental Information. [access date].
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                            name:  Journal article published July 2007 by Elsevier (Advnaces in Space Research)
                            description:  Laszlo, I., Ciren, P., et al, (2007), Remote sensing of aerosol and radiation from geostationary satellites, Adv. Spc. Res., 41(11), 1882–1893, doi:10.1016/j.asr.2007.06.047.
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                title:  A closer look at the ABI on the GOES-R series
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                            name:  Journal article published April 2017 by the AMS (Bulletin of the American Meteorological Society)
                            description:  Schmit, T., Griffith, P., et al, (2017), A closer look at the ABI on the GOES-R series, Bull. Amer. Meteor. Soc., 98(4), 681–698, doi:10.1175/BAMS-D-15-00230.1.
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        language:  eng; USA
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                    description:  ground condition
                    beginPosition:  2017-12-12
                    endPosition:
                    timeInterval:  15
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    distributionInfo:  (MD_Distribution)
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                organisationName:  DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
                positionName:  Customer Engagement Branch
                contactInfo:  (CI_Contact)
                    phone:  (CI_Telephone)
                        voice:  1-828-271-4800
                        facsimile:  1-828-271-4876
                    address:  (CI_Address)
                        deliveryPoint:  151 Patton Avenue
                        deliveryPoint:  Veach-Baley Federal Building, Room 468
                        city:  Asheville
                        administrativeArea:  NC
                        postalCode:  28801-5001
                        country:  USA
                        electronicMailAddress:  ncei.orders@noaa.gov
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                fees:  In most cases, electronic downloads of the data are free, however fees may apply for data certifications, copies of analog materials, and data distribution on physical media.
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                    protocol:  HTTPS
                    applicationProfile:  Information
                    name:  NCEI GOES-R Program Webpage
                    description:  Webpage with product README files, general information, and data access links.
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                    linkage: http://www.goes-r.gov/resources/docs.html
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                    linkage: http://www.goes-r.gov/users/docs/PUG-main-vol1.pdf
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                    linkage: http://www.goes-r.gov/products/docs/PUG-L2+-vol5.pdf
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                    linkage: http://www.goes-r.gov/education/ABI-bands-quick-info.html
                    applicationProfile:  Information
                    name:  ABI Bands Quick Information Guides
                    description:  The fact sheets are designed as quick reference guides to provide users with information on each of the GOES-R series Advanced Baseline Imager's 16 spectral bands.
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            statement:  The data were produced by the NOAA Office of Satellite and Product Operations (OSPO) and are archived at the NOAA National Centers for Environmental Information (NCEI).
            processStep:  (LE_ProcessStep)
                description:  The Aerosol Detection product is generated by the GOES-R ABI Aerosol Detection ground processing algorithm. The algorithm applies threshold tests to ABI reflectance bands and thermal bands over land and ocean backgrounds to obtain results. Clear sky is determined using clear and probably clear pixels indicated in the temporally coincident intermediate 4-level cloud mask generated by the Cloud Mask algorithm. Snow-free is determined using snow-free pixels indicated in the most recent intermediate binary snow mask generated by the Snow Cover algorithm.
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                    identifier: (missing)
                    algorithm:  (LE_Algorithm)
                        citation:  (CI_Citation)
                            title:  GOES-R Algorithm Theoretical Basis Documents
                            date:  (CI_Date)
                                date:  2017-06-01
                                dateType:  (CI_DateTypeCode) publication
                            edition:  Version 2.0
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                                organisationName:  DOC/NOAA/NESDIS/STAR > Center for Satellite Applications and Research, NESDIS, NOAA, U.S. Department of Commerce
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                                        linkage: http://www.goes-r.gov/products/ATBDs/baseline/AAA_AIP_v2.0_no_color.pdf
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                                        name:  GOES-R Algorithm Theoretical Basis Document for Aerosol Detection
                                        description:  Algorithm documentation for GOES-16 ABI Aerosol Detection.
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                                role: (missing)
                        description:  See Algorithm Citation
            processStep:  (LE_ProcessStep)
                description:  The GOES-16 ABI aerosol detection algorithm reached beta maturity.
                dateTime:
                  DateTime:  2017-05-24T20:30:00Z
                processor:  (CI_ResponsibleParty)
                    organisationName: (missing)
                    role:  (CI_RoleCode) processor
            processStep:  (LE_ProcessStep)
                description:  The GOES-16 ABI aerosol detection algorithm reached provisional maturity.
                dateTime:
                  DateTime:  2018-12-06T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName: (missing)
                    role:  (CI_RoleCode) processor
            processStep:  (LE_ProcessStep)
                description:  The GOES-16 ABI aerosol detection algorithm reached full validation maturity.
                dateTime: (missing)
                processor:  (CI_ResponsibleParty)
                    organisationName: (missing)
                    role:  (CI_RoleCode) processor
            processStep:  (LE_ProcessStep)
                description:  The GOES-17 ABI aerosol detection algorithm reached beta maturity.
                dateTime:
                  DateTime:  2018-08-27T20:30:00Z
                processor:  (CI_ResponsibleParty)
                    organisationName: (missing)
                    role:  (CI_RoleCode) processor
            processStep:  (LE_ProcessStep)
                description:  The GOES-17 ABI aerosol detection algorithm reached provisional maturity.
                dateTime:
                  DateTime:  2019-06-27T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName: (missing)
                    role:  (CI_RoleCode) processor
            processStep:  (LE_ProcessStep)
                description:  The GOES-17 ABI aerosol detection algorithm reached full validation maturity.
                dateTime: (missing)
                processor:  (CI_ResponsibleParty)
                    organisationName: (missing)
                    role:  (CI_RoleCode) processor
            source:  (LE_Source)
                description:  Level 1b radiances
                sourceCitation:  (CI_Citation)
                    title:  NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 1b Radiances
                    date:  (CI_Date)
                        date:  2017-06-01
                        dateType:  (CI_DateTypeCode) publication
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                        code:  doi:10.7289/V5BV7DSR
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                                linkage: https://doi.org/10.7289/V5BV7DSR
                                protocol:  HTTPS
                                applicationProfile:  Web Browser
                                name:  NCEI landing page for ABI-L1B-RAD
                                description:  Source dataset landing page with general information and access links for the dataset.
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                            beginPosition:  2017-06-01
                            endPosition:
                sourceStep:  ps001
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) repository
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                other:  NOAA National Centers for Environmental Information
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                description:  NOAA created the National Centers for Environmental Information (NCEI) by merging NOAA's National Climatic Data Center (NCDC), National Geophysical Data Center (NGDC), and National Oceanographic Data Center (NODC), including the National Coastal Data Development Center (NCDDC), per the Consolidated and Further Continuing Appropriations Act, 2015, Public Law 113-235. NCEI launched publicly on April 22, 2015.
                dateTime:
                  DateTime:  2015-04-22T00:00:00
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        maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) asNeeded
        maintenanceNote:  Bulk metadata change applied on 2018-11-05. See version control repository history for metadata change details.