Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: a case study

MODIS (MOderate-resolution Imaging Spectroradiometer) retrievals of aerosol optical depth (AOD) are biased over urban areas, primarily because the reflectance characteristics of urban surfaces are different than that assumed by the retrieval algorithm. Specifically, the operational "dark-target...

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Published in:Atmospheric Measurement Techniques
Main Authors: Jäkel, E., Mey, B., Levy, R., Gu, X., Yu, T., Li, Z., Althausen, D., Heese, B., Wendisch, M.
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/amt-8-5237-2015
https://amt.copernicus.org/articles/8/5237/2015/
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spelling ftcopernicus:oai:publications.copernicus.org:amt30438 2023-05-15T13:07:09+02:00 Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: a case study Jäkel, E. Mey, B. Levy, R. Gu, X. Yu, T. Li, Z. Althausen, D. Heese, B. Wendisch, M. 2018-01-15 application/pdf https://doi.org/10.5194/amt-8-5237-2015 https://amt.copernicus.org/articles/8/5237/2015/ eng eng doi:10.5194/amt-8-5237-2015 https://amt.copernicus.org/articles/8/5237/2015/ eISSN: 1867-8548 Text 2018 ftcopernicus https://doi.org/10.5194/amt-8-5237-2015 2020-07-20T16:24:20Z MODIS (MOderate-resolution Imaging Spectroradiometer) retrievals of aerosol optical depth (AOD) are biased over urban areas, primarily because the reflectance characteristics of urban surfaces are different than that assumed by the retrieval algorithm. Specifically, the operational "dark-target" retrieval is tuned towards vegetated (dark) surfaces and assumes a spectral relationship to estimate the surface reflectance in blue and red wavelengths. From airborne measurements of surface reflectance over the city of Zhongshan, China, were collected that could replace the assumptions within the MODIS retrieval algorithm. The subsequent impact was tested upon two versions of the operational algorithm, Collections 5 and 6 (C5 and C6). AOD retrieval results of the operational and modified algorithms were compared for a specific case study over Zhongshan to show minor differences between them all. However, the Zhongshan-based spectral surface relationship was applied to a much larger urban sample, specifically to the MODIS data taken over Beijing between 2010 and 2014. These results were compared directly to ground-based AERONET (AErosol RObotic NETwork) measurements of AOD. A significant reduction of the differences between the AOD retrieved by the modified algorithms and AERONET was found, whereby the mean difference decreased from 0.27±0.14 for the operational C5 and 0.19±0.12 for the operational C6 to 0.10±0.15 and -0.02±0.17 by using the modified C5 and C6 retrievals. Since the modified algorithms assume a higher contribution by the surface to the total measured reflectance from MODIS, consequently the overestimation of AOD by the operational methods is reduced. Furthermore, the sensitivity of the MODIS AOD retrieval with respect to different surface types was investigated. Radiative transfer simulations were performed to model reflectances at top of atmosphere for predefined aerosol properties. The reflectance data were used as input for the retrieval methods. It was shown that the operational MODIS AOD retrieval over land reproduces the AOD reference input of 0.85 for dark surface types (retrieved AOD = 0.87 (C5)). An overestimation of AOD = 0.99 is found for urban surfaces, whereas the modified C5 algorithm shows a good performance with a retrieved value of AOD = 0.86. Text Aerosol Robotic Network Copernicus Publications: E-Journals Zhongshan ENVELOPE(76.371,76.371,-69.373,-69.373) Atmospheric Measurement Techniques 8 12 5237 5249
institution Open Polar
collection Copernicus Publications: E-Journals
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language English
description MODIS (MOderate-resolution Imaging Spectroradiometer) retrievals of aerosol optical depth (AOD) are biased over urban areas, primarily because the reflectance characteristics of urban surfaces are different than that assumed by the retrieval algorithm. Specifically, the operational "dark-target" retrieval is tuned towards vegetated (dark) surfaces and assumes a spectral relationship to estimate the surface reflectance in blue and red wavelengths. From airborne measurements of surface reflectance over the city of Zhongshan, China, were collected that could replace the assumptions within the MODIS retrieval algorithm. The subsequent impact was tested upon two versions of the operational algorithm, Collections 5 and 6 (C5 and C6). AOD retrieval results of the operational and modified algorithms were compared for a specific case study over Zhongshan to show minor differences between them all. However, the Zhongshan-based spectral surface relationship was applied to a much larger urban sample, specifically to the MODIS data taken over Beijing between 2010 and 2014. These results were compared directly to ground-based AERONET (AErosol RObotic NETwork) measurements of AOD. A significant reduction of the differences between the AOD retrieved by the modified algorithms and AERONET was found, whereby the mean difference decreased from 0.27±0.14 for the operational C5 and 0.19±0.12 for the operational C6 to 0.10±0.15 and -0.02±0.17 by using the modified C5 and C6 retrievals. Since the modified algorithms assume a higher contribution by the surface to the total measured reflectance from MODIS, consequently the overestimation of AOD by the operational methods is reduced. Furthermore, the sensitivity of the MODIS AOD retrieval with respect to different surface types was investigated. Radiative transfer simulations were performed to model reflectances at top of atmosphere for predefined aerosol properties. The reflectance data were used as input for the retrieval methods. It was shown that the operational MODIS AOD retrieval over land reproduces the AOD reference input of 0.85 for dark surface types (retrieved AOD = 0.87 (C5)). An overestimation of AOD = 0.99 is found for urban surfaces, whereas the modified C5 algorithm shows a good performance with a retrieved value of AOD = 0.86.
format Text
author Jäkel, E.
Mey, B.
Levy, R.
Gu, X.
Yu, T.
Li, Z.
Althausen, D.
Heese, B.
Wendisch, M.
spellingShingle Jäkel, E.
Mey, B.
Levy, R.
Gu, X.
Yu, T.
Li, Z.
Althausen, D.
Heese, B.
Wendisch, M.
Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: a case study
author_facet Jäkel, E.
Mey, B.
Levy, R.
Gu, X.
Yu, T.
Li, Z.
Althausen, D.
Heese, B.
Wendisch, M.
author_sort Jäkel, E.
title Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: a case study
title_short Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: a case study
title_full Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: a case study
title_fullStr Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: a case study
title_full_unstemmed Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: a case study
title_sort adaption of the modis aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: a case study
publishDate 2018
url https://doi.org/10.5194/amt-8-5237-2015
https://amt.copernicus.org/articles/8/5237/2015/
long_lat ENVELOPE(76.371,76.371,-69.373,-69.373)
geographic Zhongshan
geographic_facet Zhongshan
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source eISSN: 1867-8548
op_relation doi:10.5194/amt-8-5237-2015
https://amt.copernicus.org/articles/8/5237/2015/
op_doi https://doi.org/10.5194/amt-8-5237-2015
container_title Atmospheric Measurement Techniques
container_volume 8
container_issue 12
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