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How is the spatiotemporal representativeness of ground- and satellite-based aerosol optical depth (AOD) measurements over Asia?
被引:1
作者:

Chen, Li
论文数: 0 引用数: 0
h-index: 0
机构:
Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Aerosol Cloud Precipitat Key Lab, China Meteorol Adm, Nanjing, Peoples R China
Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Nanjing, Peoples R China Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Aerosol Cloud Precipitat Key Lab, China Meteorol Adm, Nanjing, Peoples R China

Liu, Chao
论文数: 0 引用数: 0
h-index: 0
机构:
Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Aerosol Cloud Precipitat Key Lab, China Meteorol Adm, Nanjing, Peoples R China
Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Nanjing, Peoples R China Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Aerosol Cloud Precipitat Key Lab, China Meteorol Adm, Nanjing, Peoples R China

Wang, Jiandong
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h-index: 0
机构:
Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Aerosol Cloud Precipitat Key Lab, China Meteorol Adm, Nanjing, Peoples R China
Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Nanjing, Peoples R China Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Aerosol Cloud Precipitat Key Lab, China Meteorol Adm, Nanjing, Peoples R China

Chen, Ganzhen
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Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Aerosol Cloud Precipitat Key Lab, China Meteorol Adm, Nanjing, Peoples R China
Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Nanjing, Peoples R China Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Aerosol Cloud Precipitat Key Lab, China Meteorol Adm, Nanjing, Peoples R China

Zhao, You
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h-index: 0
机构:
Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Aerosol Cloud Precipitat Key Lab, China Meteorol Adm, Nanjing, Peoples R China
Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Nanjing, Peoples R China Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Aerosol Cloud Precipitat Key Lab, China Meteorol Adm, Nanjing, Peoples R China

Jin, Yuzhi
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h-index: 0
机构:
Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Aerosol Cloud Precipitat Key Lab, China Meteorol Adm, Nanjing, Peoples R China
Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Nanjing, Peoples R China Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Aerosol Cloud Precipitat Key Lab, China Meteorol Adm, Nanjing, Peoples R China

Jin, Hongchun
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h-index: 0
机构:
KuWeather Sci & Technol Co Ltd, Qingdao, Peoples R China Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Aerosol Cloud Precipitat Key Lab, China Meteorol Adm, Nanjing, Peoples R China
机构:
[1] Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Aerosol Cloud Precipitat Key Lab, China Meteorol Adm, Nanjing, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Nanjing, Peoples R China
[3] KuWeather Sci & Technol Co Ltd, Qingdao, Peoples R China
关键词:
AOD;
Spatiotemporal representativeness;
AERONET;
MODIS;
AHI;
MODIS;
VALIDATION;
NETWORK;
PRODUCTS;
AERONET;
CHINA;
LAND;
HIMAWARI-8;
RETRIEVAL;
MISR;
D O I:
10.1016/j.atmosres.2024.107857
中图分类号:
P4 [大气科学(气象学)];
学科分类号:
0706 ;
070601 ;
摘要:
Aerosol optical depth (AOD) is a crucial variable in monitoring air quality and the study of climate change. Although considerable researches have been conducted on the cross-validation between ground-based and satellite measurements, the spatiotemporal representativeness of each measurement method during such validation process requires further investigation. Here, we investigate the spatiotemporal representativeness of AOD measurements from ground-based AERONET (Aerosol Robotic Network) and satellites, including Terra/Aqua MODIS (Moderate Resolution Imaging Spectroradiometer) and Himawari-8 AHI (Advanced Himawari Imager). Results from six typical Asian sites are considered. The annual and seasonal assessment metrics between AERONET and satellites (Terra/Aqua MODIS and Himawari-8 AHI) AOD, including R (correlation coefficient), RMB (relative mean bias), RMSE (root mean square error), and %within EE (percentage of matchups falling within the expected error envelope), show slight variations with changing spatial ranges, and the influence of the seasonal variation on the spatial representativeness has similar conclusions as well. From 10 x 10 km2 to 100 x 100 km2 (interval: 10 x 10 km2), the R, RMB, and RMSE are 0.89-0.87, 1.07-0.87, and 0.20-0.22 for Terra MODIS AOD; 0.91-0.85, 1.04-0.91, and 0.17-0.23 for Aqua MODIS AOD; 0.87-0.78, 0.77-0.83, and 0.20-0.26 for AHI AOD and the MODIS measurements have a higher %within EE than AHI AOD. These suggest that, although MODIS only measures AOD during the satellite overpass, not the temporal variations, their results show a reasonable correlation with the daily average AOD given by AERONET measurements. The diurnal fluctuations of AOD are detectable in both AERONET and AHI measurements, with AHI showing larger diurnal fluctuations (over 40 %) and annual deviations from the daily average within +/- 10 %. This study offers insights into the spatial representative range of AERONET measurements and the temporal/daily representative capability of satellite measurements.
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