MISR empirical stray light corrections in high-contrast scenes

We diagnose the potential causes for the Multi-angle Imaging SpectroRadiometer's (MISR) persistent high aerosol optical depth (AOD) bias at low AOD with the aid of coincident MODerate-resolution Imaging Spectroradiometer (MODIS) imagery from NASA's Terra satellite. Stray light in the MISR...

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Published in:Atmospheric Measurement Techniques
Main Authors: J. A. Limbacher, R. A. Kahn
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2015
Subjects:
Online Access:https://doi.org/10.5194/amt-8-2927-2015
https://doaj.org/article/1c4a4c0e589944fb9a99aab7974b587e
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spelling ftdoajarticles:oai:doaj.org/article:1c4a4c0e589944fb9a99aab7974b587e 2023-05-15T13:06:26+02:00 MISR empirical stray light corrections in high-contrast scenes J. A. Limbacher R. A. Kahn 2015-07-01T00:00:00Z https://doi.org/10.5194/amt-8-2927-2015 https://doaj.org/article/1c4a4c0e589944fb9a99aab7974b587e EN eng Copernicus Publications http://www.atmos-meas-tech.net/8/2927/2015/amt-8-2927-2015.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 1867-1381 1867-8548 doi:10.5194/amt-8-2927-2015 https://doaj.org/article/1c4a4c0e589944fb9a99aab7974b587e Atmospheric Measurement Techniques, Vol 8, Iss 7, Pp 2927-2943 (2015) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2015 ftdoajarticles https://doi.org/10.5194/amt-8-2927-2015 2022-12-30T22:49:03Z We diagnose the potential causes for the Multi-angle Imaging SpectroRadiometer's (MISR) persistent high aerosol optical depth (AOD) bias at low AOD with the aid of coincident MODerate-resolution Imaging Spectroradiometer (MODIS) imagery from NASA's Terra satellite. Stray light in the MISR instrument is responsible for a large portion of the high AOD bias in high-contrast scenes, such as broken-cloud scenes that are quite common over ocean. Discrepancies among MODIS and MISR nadir-viewing blue, green, red, and near-infrared images are used to optimize seven parameters individually for each wavelength, along with a background reflectance modulation term that is modeled separately, to represent the observed features. Independent surface-based AOD measurements from the AErosol RObotic NETwork (AERONET) and the Marine Aerosol Network (MAN) are compared with MISR research aerosol retrieval algorithm (RA) AOD retrievals for 1118 coincidences to validate the corrections when applied to the nadir and off-nadir cameras. With these corrections, plus the baseline RA corrections and enhanced cloud screening applied, the median AOD bias for all data in the mid-visible (green, 558 nm) band decreases from 0.006 (0.020 for the MISR standard algorithm (SA)) to 0.000, and the RMSE decreases by 5 % (27 % compared to the SA). For AOD 558 nm < 0.10, which includes about half the validation data, 68th percentile absolute AOD 558 nm errors for the RA have dropped from 0.022 (0.034 for the SA) to < 0.02 (~ 0.018). Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 8 7 2927 2943
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
spellingShingle Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
J. A. Limbacher
R. A. Kahn
MISR empirical stray light corrections in high-contrast scenes
topic_facet Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
description We diagnose the potential causes for the Multi-angle Imaging SpectroRadiometer's (MISR) persistent high aerosol optical depth (AOD) bias at low AOD with the aid of coincident MODerate-resolution Imaging Spectroradiometer (MODIS) imagery from NASA's Terra satellite. Stray light in the MISR instrument is responsible for a large portion of the high AOD bias in high-contrast scenes, such as broken-cloud scenes that are quite common over ocean. Discrepancies among MODIS and MISR nadir-viewing blue, green, red, and near-infrared images are used to optimize seven parameters individually for each wavelength, along with a background reflectance modulation term that is modeled separately, to represent the observed features. Independent surface-based AOD measurements from the AErosol RObotic NETwork (AERONET) and the Marine Aerosol Network (MAN) are compared with MISR research aerosol retrieval algorithm (RA) AOD retrievals for 1118 coincidences to validate the corrections when applied to the nadir and off-nadir cameras. With these corrections, plus the baseline RA corrections and enhanced cloud screening applied, the median AOD bias for all data in the mid-visible (green, 558 nm) band decreases from 0.006 (0.020 for the MISR standard algorithm (SA)) to 0.000, and the RMSE decreases by 5 % (27 % compared to the SA). For AOD 558 nm < 0.10, which includes about half the validation data, 68th percentile absolute AOD 558 nm errors for the RA have dropped from 0.022 (0.034 for the SA) to < 0.02 (~ 0.018).
format Article in Journal/Newspaper
author J. A. Limbacher
R. A. Kahn
author_facet J. A. Limbacher
R. A. Kahn
author_sort J. A. Limbacher
title MISR empirical stray light corrections in high-contrast scenes
title_short MISR empirical stray light corrections in high-contrast scenes
title_full MISR empirical stray light corrections in high-contrast scenes
title_fullStr MISR empirical stray light corrections in high-contrast scenes
title_full_unstemmed MISR empirical stray light corrections in high-contrast scenes
title_sort misr empirical stray light corrections in high-contrast scenes
publisher Copernicus Publications
publishDate 2015
url https://doi.org/10.5194/amt-8-2927-2015
https://doaj.org/article/1c4a4c0e589944fb9a99aab7974b587e
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Atmospheric Measurement Techniques, Vol 8, Iss 7, Pp 2927-2943 (2015)
op_relation http://www.atmos-meas-tech.net/8/2927/2015/amt-8-2927-2015.pdf
https://doaj.org/toc/1867-1381
https://doaj.org/toc/1867-8548
1867-1381
1867-8548
doi:10.5194/amt-8-2927-2015
https://doaj.org/article/1c4a4c0e589944fb9a99aab7974b587e
op_doi https://doi.org/10.5194/amt-8-2927-2015
container_title Atmospheric Measurement Techniques
container_volume 8
container_issue 7
container_start_page 2927
op_container_end_page 2943
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