Retrieval of ash properties from IASI measurements

A new optimal estimation algorithm for the retrieval of volcanic ash properties has been developed for use with the Infrared Atmospheric Sounding Interferometer (IASI). The retrieval method uses the wave number range 680–1200 cm −1 , which contains window channels, the CO 2 ν 2 band (used for the he...

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Published in:Atmospheric Measurement Techniques
Main Authors: L. J. Ventress, G. McGarragh, E. Carboni, A. J. Smith, R. G. Grainger
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2016
Subjects:
Online Access:https://doi.org/10.5194/amt-9-5407-2016
https://doaj.org/article/ced1a785cd9f4a21b5c19ae0c72359bc
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author L. J. Ventress
G. McGarragh
E. Carboni
A. J. Smith
R. G. Grainger
author_facet L. J. Ventress
G. McGarragh
E. Carboni
A. J. Smith
R. G. Grainger
author_sort L. J. Ventress
collection Directory of Open Access Journals: DOAJ Articles
container_issue 11
container_start_page 5407
container_title Atmospheric Measurement Techniques
container_volume 9
description A new optimal estimation algorithm for the retrieval of volcanic ash properties has been developed for use with the Infrared Atmospheric Sounding Interferometer (IASI). The retrieval method uses the wave number range 680–1200 cm −1 , which contains window channels, the CO 2 ν 2 band (used for the height retrieval), and the O 3 ν 3 band. Assuming a single infinitely (geometrically) thin ash plume and combining this with the output from the radiative transfer model RTTOV, the retrieval algorithm produces the most probable values for the ash optical depth (AOD), particle effective radius, plume top height, and effective radiating temperature. A comprehensive uncertainty budget is obtained for each pixel. Improvements to the algorithm through the use of different measurement error covariance matrices are explored, comparing the results from a sensitivity study of the retrieval process using covariance matrices trained on either clear-sky or cloudy scenes. The result showed that, due to the smaller variance contained within it, the clear-sky covariance matrix is preferable. However, if the retrieval fails to pass the quality control tests, the cloudy covariance matrix is implemented. The retrieval algorithm is applied to scenes from the Eyjafjallajökull eruption in 2010, and the retrieved parameters are compared to ancillary data sources. The ash optical depth gives a root mean square error (RMSE) difference of 0.46 when compared to retrievals from the MODerate-resolution Imaging Spectroradiometer (MODIS) instrument for all pixels and an improved RMSE of 0.2 for low optical depths (AOD < 0.1). Measurements from the Facility for Airborne Atmospheric Measurements (FAAM) and Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) flight campaigns are used to verify the retrieved particle effective radius, with the retrieved distribution of sizes for the scene showing excellent consistency. Further, the plume top altitudes are compared to derived cloud-top altitudes from the Cloud-Aerosol Lidar with Orthogonal ...
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spelling ftdoajarticles:oai:doaj.org/article:ced1a785cd9f4a21b5c19ae0c72359bc 2025-01-16T21:48:00+00:00 Retrieval of ash properties from IASI measurements L. J. Ventress G. McGarragh E. Carboni A. J. Smith R. G. Grainger 2016-11-01T00:00:00Z https://doi.org/10.5194/amt-9-5407-2016 https://doaj.org/article/ced1a785cd9f4a21b5c19ae0c72359bc EN eng Copernicus Publications https://www.atmos-meas-tech.net/9/5407/2016/amt-9-5407-2016.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-9-5407-2016 1867-1381 1867-8548 https://doaj.org/article/ced1a785cd9f4a21b5c19ae0c72359bc Atmospheric Measurement Techniques, Vol 9, Pp 5407-5422 (2016) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2016 ftdoajarticles https://doi.org/10.5194/amt-9-5407-2016 2022-12-31T14:32:56Z A new optimal estimation algorithm for the retrieval of volcanic ash properties has been developed for use with the Infrared Atmospheric Sounding Interferometer (IASI). The retrieval method uses the wave number range 680–1200 cm −1 , which contains window channels, the CO 2 ν 2 band (used for the height retrieval), and the O 3 ν 3 band. Assuming a single infinitely (geometrically) thin ash plume and combining this with the output from the radiative transfer model RTTOV, the retrieval algorithm produces the most probable values for the ash optical depth (AOD), particle effective radius, plume top height, and effective radiating temperature. A comprehensive uncertainty budget is obtained for each pixel. Improvements to the algorithm through the use of different measurement error covariance matrices are explored, comparing the results from a sensitivity study of the retrieval process using covariance matrices trained on either clear-sky or cloudy scenes. The result showed that, due to the smaller variance contained within it, the clear-sky covariance matrix is preferable. However, if the retrieval fails to pass the quality control tests, the cloudy covariance matrix is implemented. The retrieval algorithm is applied to scenes from the Eyjafjallajökull eruption in 2010, and the retrieved parameters are compared to ancillary data sources. The ash optical depth gives a root mean square error (RMSE) difference of 0.46 when compared to retrievals from the MODerate-resolution Imaging Spectroradiometer (MODIS) instrument for all pixels and an improved RMSE of 0.2 for low optical depths (AOD < 0.1). Measurements from the Facility for Airborne Atmospheric Measurements (FAAM) and Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) flight campaigns are used to verify the retrieved particle effective radius, with the retrieved distribution of sizes for the scene showing excellent consistency. Further, the plume top altitudes are compared to derived cloud-top altitudes from the Cloud-Aerosol Lidar with Orthogonal ... Article in Journal/Newspaper Eyjafjallajökull Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 9 11 5407 5422
spellingShingle Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
L. J. Ventress
G. McGarragh
E. Carboni
A. J. Smith
R. G. Grainger
Retrieval of ash properties from IASI measurements
title Retrieval of ash properties from IASI measurements
title_full Retrieval of ash properties from IASI measurements
title_fullStr Retrieval of ash properties from IASI measurements
title_full_unstemmed Retrieval of ash properties from IASI measurements
title_short Retrieval of ash properties from IASI measurements
title_sort retrieval of ash properties from iasi measurements
topic Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
topic_facet Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
url https://doi.org/10.5194/amt-9-5407-2016
https://doaj.org/article/ced1a785cd9f4a21b5c19ae0c72359bc