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)
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date: 2017-12-12
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abstract: The GOES-R Advanced Baseline Imager (ABI) 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 from GOES East and West. 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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keyword: GOES > Geostationary Operational Environmental Satellites
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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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otherConstraints: Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
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otherConstraints: Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
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beginPosition: 2017-12-12
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dataQualityInfo: (DQ_DataQuality)
scope: (DQ_Scope)
level: (MD_ScopeCode) dataset
extent: #boundingExtent
lineage: (LI_Lineage)
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.
dateTime: (missing)
processor: (CI_ResponsibleParty)
organisationName: DOC/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA, U.S. Department of Commerce
role: (CI_RoleCode) processor
source: sd001
processingInformation: (LE_Processing)
identifier: (missing)
documentation: (CI_Citation)
title: GOES-R Algorithm Working Group
date: (missing)
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: DOC/NOAA/NESDIS/STAR > Center for Satellite Applications and Research, NESDIS, NOAA, U.S. Department of Commerce
role: (CI_RoleCode) publisher
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: (missing)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: https://www.star.nesdis.noaa.gov/goesr/
protocol: HTTPS
applicationProfile: Web Browser
name: GOES-R Algorithm Working Group
description: The GOES-R Algorithm Working Group creates the algorithms that process the quality controlled satellite instrument data and produces resulting data products.
function: (CI_OnLineFunctionCode) information
role: (missing)
documentation: (CI_Citation)
title: NOAA Satellite Information System Product Quality
date: (missing)
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: (missing)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: https://www.noaasis.noaa.gov/GOES/PS_PVR2.html
protocol: HTTPS
applicationProfile: Web Browser
name: NOAA Satellite Information System Product Quality
description: Peer/Stakeholder Product Validation Reviews by satellite and product.
function: (CI_OnLineFunctionCode) information
role: (missing)
algorithm: (LE_Algorithm)
citation: (CI_Citation)
title: GOES-R Algorithm Theoretical Basis Documents
date: (missing)
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: DOC/NOAA/NESDIS/STAR > Center for Satellite Applications and Research, NESDIS, NOAA, U.S. Department of Commerce
role: (CI_RoleCode) publisher
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: (missing)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
linkage: https://www.star.nesdis.noaa.gov/goesr/documentation_ATBDs.php
applicationProfile: Web Browser
name: GOES-R Algorithm Theoretical Basis Documents
description: Descriptions of how the algorithms work, their underlying designs, and initial comparison with prior algorithms and results.
function: (CI_OnLineFunctionCode) information
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
identifier: (MD_Identifier)
code: doi:10.7289/V5BV7DSR
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
role: (CI_RoleCode) distributor
citedResponsibleParty: (CI_ResponsibleParty)
organisationName: (missing)
contactInfo: (CI_Contact)
onlineResource: (CI_OnlineResource)
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.
function: (CI_OnLineFunctionCode) information
role: (missing)
sourceExtent: (EX_Extent)
geographicElement: (EX_GeographicBoundingBox)
extentTypeCode: 1
westBoundLongitude: -156.2995
eastBoundLongitude: 6.2995
southBoundLatitude: -81.3282
northBoundLatitude: 81.3282
temporalElement: (EX_TemporalExtent)
extent:
TimePeriod:
beginPosition: 2017-06-01
endPosition:
sourceStep: ps001
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dataQualityInfo: (DQ_DataQuality)
scope: (DQ_Scope)
level: (MD_ScopeCode) repository
levelDescription: (MD_ScopeDescription)
other: NOAA National Centers for Environmental Information
lineage: (LI_Lineage)
processStep: (LE_ProcessStep)
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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metadataMaintenance: (MD_MaintenanceInformation)
maintenanceAndUpdateFrequency: (MD_MaintenanceFrequencyCode) asNeeded
maintenanceNote: Bulk metadata change applied on 2023-07-12. See version control repository history for metadata change details.
