NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 2 Aerosol Detection (ADP)
ABI-L2-ADP
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).
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.
- 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].
- doi:
- ABI-L2-ADP
- gov.noaa.ncdc:C01510
- gov.noaa.class:GRABIPRD
| Download Data |
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| Order Data |
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| Distribution Formats |
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| Ordering Instructions |
Contact NCEI for other distribution options and instructions. |
| Distributor |
NOAA National Centers for Environmental Information
ncei.info@noaa.gov
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| Dataset Point of Contact |
Customer Engagement Branch
DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
ncei.sat.info@noaa.gov
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| Time Period |
2017-12-12 to Present (time interval: 10-minute) |
| Spatial Reference System |
urn:ogc:def:crs:EPSG::4326 |
| Spatial Bounding Box Coordinates |
West: -156.2995
East: 6.2995
South: -81.3282
North: 81.3282
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| Spatial Coverage Map |
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| General Documentation |
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| Processing Documents |
- GOES-R Algorithm Working Group
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GOES-R Algorithm Working Group
The GOES-R Algorithm Working Group creates the algorithms that process the quality controlled satellite instrument data and produces resulting data products.
- NOAA Satellite Information System Product Quality
- GOES-R Algorithm Theoretical Basis Documents
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| Associated Resources |
- GOES-R Program Document Library
- GOES Operational Status - NOAA Office of Satellite and Product Operations
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| Publication Dates |
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| Edition |
Provisional |
| Data Presentation Form |
Digital image
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| Dataset Progress Status |
Ongoing - data is continually being updated |
| Data Update Frequency |
Continual |
| 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. |
| Use Limitations |
- For a complete description of use limitations for this baseline product, see the Algorithm Theoretical Basis Document (ATBD).
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| Dataset Citation |
- 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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| Cited Authors |
- GOES-R Algorithm Working Group
- GOES-R Series Program
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| Principal Investigators |
- GOES-R Algorithm Working Group
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| Resource Providers |
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| Publishers |
- NOAA National Centers for Environmental Information
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| Theme keywords |
Global Change Master Directory (GCMD) Science Keywords- Earth Science > Atmosphere > Aerosols > Dust/Ash/Smoke
Global Climate Observing System (GCOS) Essential Climate Variables (ECVs)- Atmospheric - Composition - Aerosol Properties
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| Data Center keywords |
Global Change Master Directory (GCMD) Data Center Keywords
- DOC/NOAA/NESDIS/NCDC > National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce
- DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
- DOC/NOAA/NESDIS/STAR > Center for Satellite Applications and Research, NESDIS, NOAA, U.S. Department of Commerce
- DOC/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA, U.S. Department of Commerce
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| Platform keywords |
Global Change Master Directory (GCMD) Platform Keywords
- GOES-16 > Geostationary Operational Environmental Satellite 16
- GOES-17 > Geostationary Operational Environmental Satellite 17
- GOES-18 > Geostationary Operational Environmental Satellite 18
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| Instrument keywords |
Global Change Master Directory (GCMD) Instrument Keywords- ABI > Advanced Baseline Imager
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| Place keywords |
Global Change Master Directory (GCMD) Location Keywords
- Geographic Region > Equatorial
- Geographic Region > Mid-Latitude
- Geographic Region > Northern Hemisphere
- Geographic Region > Southern Hemisphere
- Geographic Region > Tropics
- Geographic Region > Western Hemisphere
- Continent > North America > United States Of America
- Continent > North America > Central America
- Continent > South America
- Ocean > Atlantic Ocean
- Ocean > Pacific Ocean
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| Project keywords |
Global Change Master Directory (GCMD) Project Keywords
- GOES > Geostationary Operational Environmental Satellites
- ABI-L2-ADP
- gov.noaa.class:GRABIPRD
- GRABIPRD
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| Data Resolution keywords |
Global Change Master Directory (GCMD) Horizontal Data Resolution Keywords- 1 km - < 10 km or approximately .01 degree - < .09 degree
Global Change Master Directory (GCMD) Temporal Data Resolution Keywords
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| Stratum keywords |
Global Change Master Directory (GCMD) Location Keywords- Vertical Location > Troposphere
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| Use Constraints |
- 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].
- 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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| Access Constraints |
- 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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| Fees |
- In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
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| Lineage information for: dataset |
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| 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). |
| Processor |
- DOC/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA, U.S. Department of Commerce
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| Processing Steps |
- 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.
- 2017-05-24T20:30:00Z - The GOES-16 ABI aerosol detection algorithm reached beta maturity.
- 2018-12-06T00:00:00 - The GOES-16 ABI aerosol detection algorithm reached provisional maturity.
- The GOES-16 ABI aerosol detection algorithm reached full validation maturity.
- 2018-08-27T20:30:00Z - The GOES-17 ABI aerosol detection algorithm reached beta maturity.
- 2019-06-27T00:00:00 - The GOES-17 ABI aerosol detection algorithm reached provisional maturity.
- The GOES-17 ABI aerosol detection algorithm reached full validation maturity.
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| Processing Documents |
- GOES-R Algorithm Working Group
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GOES-R Algorithm Working Group
The GOES-R Algorithm Working Group creates the algorithms that process the quality controlled satellite instrument data and produces resulting data products.
- NOAA Satellite Information System Product Quality
- GOES-R Algorithm Theoretical Basis Documents
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| Source Datasets |
- NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 1b Radiances
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NCEI landing page for ABI-L1B-RAD
Source dataset landing page with general information and access links for the dataset.
- Description of Source: Level 1b radiances
- Temporal extent used: 2017-06-01 to Present
- Spatial extent used: N:81.3282 S:-81.3282 E:6.2995 W:-156.2995
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| Lineage information for: repository |
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| Processing Steps |
- 2015-04-22T00:00:00 - 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.
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Last Modified: 2023-09-18
For questions about the information on this page, please email:
ncei.info@noaa.gov
