Validation and Accuracy Analysis of the Collection 6.1 MODIS Aerosol Optical Depth Over the Westernmost City in China Based on the Sun‐Sky Radiometer Observations From SONET
Abstract Toward the Kashi region in northwest of China, the Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) retrievals from Collection 6 (C6) MYD, Collection 6.1 (C6.1) MOD, and C6.1 MYD during 2016–2017 are compared with ground‐based measurements from the Sun‐sky R...
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doaj-342fe805dc9f4e6b8ffb54c8aec201152020-11-25T02:39:38ZengAmerican Geophysical Union (AGU)Earth and Space Science2333-50842020-03-0173n/an/a10.1029/2019EA001041Validation and Accuracy Analysis of the Collection 6.1 MODIS Aerosol Optical Depth Over the Westernmost City in China Based on the Sun‐Sky Radiometer Observations From SONETGuan Huang0Yonghang Chen1Zhengqiang Li2Qiong Liu3Yanyu Wang4Qianshan He5Tongqiang Liu6Xin Liu7Yang Zhang8Jiacheng Gao9Yifeng Yao10College of Evironmental Science and Engineering Donghua University Shanghai ChinaCollege of Evironmental Science and Engineering Donghua University Shanghai ChinaState Environmental Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing ChinaCollege of Evironmental Science and Engineering Donghua University Shanghai ChinaShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Institute of Atmospheric Sciences Fudan University Shanghai ChinaShanghai Meteorological Service Shanghai ChinaCollege of Evironmental Science and Engineering Donghua University Shanghai ChinaCollege of Evironmental Science and Engineering Donghua University Shanghai ChinaCollege of Resources and Environment Chengdu University of Information Technology Chengdu ChinaCollege of Resource and Environment Science Xinjiang University Urumqi ChinaCollege of Environment and Architecture University of Shanghai for Science and Technology Shanghai ChinaAbstract Toward the Kashi region in northwest of China, the Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) retrievals from Collection 6 (C6) MYD, Collection 6.1 (C6.1) MOD, and C6.1 MYD during 2016–2017 are compared with ground‐based measurements from the Sun‐sky Radiometer Network (SONET), and the first comprehensive evaluation of the Dark Target (DT) and Deep Blue (DB) retrievals with a 10‐km spatial resolution in the latest C6.1 MYD AOD data set during 2016–2018 is presented. In general, C6.1 MYD AOD products (both of DT and DB algorithm) are the most effective in Kashi of the three collections, and there is an overall underestimation of DB AOD, while DT AOD that slightly outperformed DB AOD in Kashi is overestimated on the whole. As to the factors that influence the accuracy of MODIS AOD, for DB algorithm, the overestimations of the surface reflectance and Single Scattering Albedo that DB aerosol model assumed can cause underestimation of DB AOD retrievals over Kashi, while the ones for DT algorithm are opposite. Besides, the coarse dust particles with lower veracity are predominant in Kashi region, which illustrated that the errors of particle size assumption in C6.1 MYD DT and DB algorithms will make large inversion error of MODIS AOD. Moreover, whatever DB or DT algorithm, the accuracy of AOD is diminished as the aerosol loading increases. The more realistic aerosol models and surface characterizations are necessary during the process of generating the MODIS aerosol retrievals in Kashi region.https://doi.org/10.1029/2019EA001041MODISCollection 6.1aerosol optical depthSONETvalidationKashi |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Guan Huang Yonghang Chen Zhengqiang Li Qiong Liu Yanyu Wang Qianshan He Tongqiang Liu Xin Liu Yang Zhang Jiacheng Gao Yifeng Yao |
spellingShingle |
Guan Huang Yonghang Chen Zhengqiang Li Qiong Liu Yanyu Wang Qianshan He Tongqiang Liu Xin Liu Yang Zhang Jiacheng Gao Yifeng Yao Validation and Accuracy Analysis of the Collection 6.1 MODIS Aerosol Optical Depth Over the Westernmost City in China Based on the Sun‐Sky Radiometer Observations From SONET Earth and Space Science MODIS Collection 6.1 aerosol optical depth SONET validation Kashi |
author_facet |
Guan Huang Yonghang Chen Zhengqiang Li Qiong Liu Yanyu Wang Qianshan He Tongqiang Liu Xin Liu Yang Zhang Jiacheng Gao Yifeng Yao |
author_sort |
Guan Huang |
title |
Validation and Accuracy Analysis of the Collection 6.1 MODIS Aerosol Optical Depth Over the Westernmost City in China Based on the Sun‐Sky Radiometer Observations From SONET |
title_short |
Validation and Accuracy Analysis of the Collection 6.1 MODIS Aerosol Optical Depth Over the Westernmost City in China Based on the Sun‐Sky Radiometer Observations From SONET |
title_full |
Validation and Accuracy Analysis of the Collection 6.1 MODIS Aerosol Optical Depth Over the Westernmost City in China Based on the Sun‐Sky Radiometer Observations From SONET |
title_fullStr |
Validation and Accuracy Analysis of the Collection 6.1 MODIS Aerosol Optical Depth Over the Westernmost City in China Based on the Sun‐Sky Radiometer Observations From SONET |
title_full_unstemmed |
Validation and Accuracy Analysis of the Collection 6.1 MODIS Aerosol Optical Depth Over the Westernmost City in China Based on the Sun‐Sky Radiometer Observations From SONET |
title_sort |
validation and accuracy analysis of the collection 6.1 modis aerosol optical depth over the westernmost city in china based on the sun‐sky radiometer observations from sonet |
publisher |
American Geophysical Union (AGU) |
series |
Earth and Space Science |
issn |
2333-5084 |
publishDate |
2020-03-01 |
description |
Abstract Toward the Kashi region in northwest of China, the Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) retrievals from Collection 6 (C6) MYD, Collection 6.1 (C6.1) MOD, and C6.1 MYD during 2016–2017 are compared with ground‐based measurements from the Sun‐sky Radiometer Network (SONET), and the first comprehensive evaluation of the Dark Target (DT) and Deep Blue (DB) retrievals with a 10‐km spatial resolution in the latest C6.1 MYD AOD data set during 2016–2018 is presented. In general, C6.1 MYD AOD products (both of DT and DB algorithm) are the most effective in Kashi of the three collections, and there is an overall underestimation of DB AOD, while DT AOD that slightly outperformed DB AOD in Kashi is overestimated on the whole. As to the factors that influence the accuracy of MODIS AOD, for DB algorithm, the overestimations of the surface reflectance and Single Scattering Albedo that DB aerosol model assumed can cause underestimation of DB AOD retrievals over Kashi, while the ones for DT algorithm are opposite. Besides, the coarse dust particles with lower veracity are predominant in Kashi region, which illustrated that the errors of particle size assumption in C6.1 MYD DT and DB algorithms will make large inversion error of MODIS AOD. Moreover, whatever DB or DT algorithm, the accuracy of AOD is diminished as the aerosol loading increases. The more realistic aerosol models and surface characterizations are necessary during the process of generating the MODIS aerosol retrievals in Kashi region. |
topic |
MODIS Collection 6.1 aerosol optical depth SONET validation Kashi |
url |
https://doi.org/10.1029/2019EA001041 |
work_keys_str_mv |
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