NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 2 Volcanic Ash: Detection and Height (VAA)
ABI-L2-VAA
Ash Detection product (left), as indicated by white contour (i.e., all pixels within contour deemed to contain volcanic ash) overlaid on false color Meteosat-9/SEVIRI image as generated by the GOES-R Volcanic Ash algorithm. The associated ash loading retrievals are also shown (right).
The Volcanic Ash: Detection and Height product contains two images with pixel values identifying volcanic ash cloud height and volcanic ash mass loading. The ash cloud top height is the geopotential height of the ash cloud top. The ash mass loading in the mass of volcanic ash per unit of area. The product includes two types of data quality information. One type of data quality indicator describes the quality of the volcanic ash detection, providing an assessment of the presence of volcanic ash for on-earth pixels including an indication of good or degraded quality, or invalid pixels, and the confidence in the detection of volcanic ash existing in single and multiple layers. The second type of data quality indicator provides information about the quality and ash characteristics of the retrieval for on-earth pixels, identifying failure conditions, cloud top temperature, cloud emissivity, and absorbed optical depth ratio retrieval quality, and the volcanic ash particle size. The units of measure for the ash cloud top height value is meters. The units of measure for the ash mass loading value is metric tons (tonnes) per square kilometer. The Volcanic Ash: Detection and Height product images are produced on the ABI fixed grid at 2 km resolution for the Full Disk coverage region. Product data is produced for geolocated source data to local zenith angles of 90 degrees for both daytime and nighttime conditions.
- Cite as: GOES-R Algorithm Working Group and GOES-R Series Program, (2018): NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 2 Volcanic Ash: Detection and Height (VAA). [indicate subset used]. NOAA National Centers for Environmental Information. doi:10.25921/nrnm-cm63 [access date].
| 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 |
2017-09-13 to Present (time interval: 15-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 Theoretical Basis Documents
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| Associated Resources |
- Automated retrievals of volcanic ash and dust cloud properties from upwelling infrared measurements.
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Journal article published February 2013 by Wiley (Journal of Geophysical Research Atmospheres)
Pavolonis, M., Heidinger, A., et al, (2013), Automated retrievals of volcanic ash and dust cloud properties from upwelling infrared measurements, J. Geo. Res. Atmo., 118(3), 1436–1458, doi:10.1002/jgrd.50173.
- A closer look at the ABI on the GOES-R series.
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Journal article published April 2017 by the AMS (American Meteorological Society)
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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| 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 Volcanic Ash product algorithm utilizes five GOES-R ABI infrared channels to automatically determine the height and mass loading properties of any pixel found to contain volcanic ash. Forecasters will be able to use the Volcanic Ash product to identify areas where volcanic ash is present and potentially hazardous, and ultimately, issue more accurate aviation, air quality, and public health warnings. It is also expected that the Volcanic Ash product will be useful for initializing dispersion models and volcanic ash trajectory prediction models. The more accurate mass loading detection may also aid in forecasting short-term climate changes due to volcanic eruptions. |
| Use Limitations |
- For a complete list of limitations of this dataset, 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, (2018): NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 2 Volcanic Ash: Detection and Height (VAA). [indicate subset used]. NOAA National Centers for Environmental Information. doi:10.25921/nrnm-cm63 [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
- Earth Science > Human Dimensions > Natural Hazards > Volcanic Eruptions
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
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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 > Tropics
- Geographic Region > Northern Hemisphere
- Geographic Region > Southern Hemisphere
- 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
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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, (2018): NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 2 Volcanic Ash: Detection and Height (VAA). [indicate subset used]. NOAA National Centers for Environmental Information. doi:10.25921/nrnm-cm63 [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 Volcanic Ash: Detection and Height product is generated by the GOES-R ABI Volcanic Ash: Detection and Height ground processing algorithm. Volcanic ash cloud top height and mass loading are determined by retrieving ash cloud effective temperature, 11 micron cloud emissivity, and the 12/11 micron effective absorption optical depth ratio (β-ratio). The algorithm uses a physical retrieval utilizing an in-line radiative transfer model to compute clear sky TOA radiances, clear sky transmittance and radiance profiles, and black cloud radiance profiles. The algorithm is optimized by first detecting volcanic ash, and then performing the volcanic ash cloud top height and mass loading retrievals satisfying an ash confidence level threshold. The algorithm identifies volcanic ash confidence levels for both single and multiple layer cloud conditions. Pixels in the product images with out of range values are assigned the minimum or maximum value in the valid range.
- 2017-09-13T19:16:00 - The GOES-16 ABI Volcanic Ash: Detection and Height algorithm reached beta maturity.
- 2018-06-15T00:00:00 - The GOES-16 ABI Volcanic Ash: Detection and Height algorithm reached provisional maturity.
- 2018-11-03T00:00:00 - The GOES-16 ABI Volcanic Ash: Detection and Height algorithm reached full validation maturity.
- 2018-08-27T00:00:00 - The GOES-17 ABI Volcanic Ash: Detection and Height algorithm reached beta maturity.
- The GOES-17 ABI Volcanic Ash: Detection and Height algorithm reached provisional maturity.
- The GOES-17 ABI Volcanic Ash: Detection and Height algorithm reached full validation maturity.
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| Processing Documents |
- 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: 2023-07-12
For questions about the information on this page, please email:
ncei.info@noaa.gov
