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Evaluation and analysis of long-term MODIS MAIAC aerosol products in China.
Huang, Ge; Su, Xin; Wang, Lunche; Wang, Yi; Cao, Mengdan; Wang, Lin; Ma, Xiaoyu; Zhao, Yueji; Yang, Leiku.
Affiliation
  • Huang G; Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China.
  • Su X; School of Future Technology (SFT), China University of Geosciences, Wuhan 430074, China. Electronic address: xxin@cug.edu.cn.
  • Wang L; Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China; School of Future Technology (SFT), China University of Geosciences, Wuhan 430074, China; Hubei Luojia Laboratory, Wuhan 430079, Ch
  • Wang Y; Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China.
  • Cao M; Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China.
  • Wang L; Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
  • Ma X; Department of Materials and Food, University of Electronic Science and Technology of China Zhongshan Institute, Zhongshan 528402, China.
  • Zhao Y; Hulun Buir Meteorological Bureau, Hulun Buir, Inner Mongolia 021008, China.
  • Yang L; School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China.
Sci Total Environ ; 948: 174983, 2024 Jul 22.
Article in En | MEDLINE | ID: mdl-39047834
ABSTRACT
NASA has released the latest Moderate Resolution Imaging Spectroradiometer (MODIS) Multi-Angle Implementation of Atmospheric Correction (MAIAC) Collection 6 (C6) and Collection 6.1 (C6.1) aerosol optical depth (AOD) products with 1 km spatial resolution. This study validated and compared C6 and C6.1 MAIAC AOD products with AERONET observations in terms of accuracy and stability, and analyzed the spatiotemporal characteristics of AOD at different scales in China. The results show that the overall accuracy of MAIAC products is good, with correlation coefficient (R) > 0.9, mean bias (BIAS) < 0.015, and the fraction within the expected error (EE) > 68 %. However, after the algorithm update, the accuracy of Terra MAIAC aerosol products C6.1 has significantly decreased. The accuracy of the products varies with the region. The accuracy of C6.1 in North China, Central East China, and West China, is comparable to or even exceeds that of C6, but performs poorly in South China. In addition, the stability of the updated C6.1 MAIAC aerosol products has not seen significantly improvement. The metrics of no product can all meet the stability goals of the Global Climate Observing System (GCOS, 0.02 per decade) in China. C6.1 improves the retrieval frequency in many regions and temporarily solves the problem of AOD discontinuity at the boundaries of different aerosol models in C6, but there are some fixed climatological AOD blocks (AOD = 0.014) in the eastern Tibetan Plateau region. Both C6 and C6.1 can capture similar annual variation characteristics of AOD to those observed at the AERONET sites. The study provides possible references for improving the MAIAC algorithm and building long-term stable aerosol records.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Total Environ Year: 2024 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Total Environ Year: 2024 Document type: Article Affiliation country: China