scholarly journals Spatio-Temporal Variations in the Associations between Hourly PM<sub>2.5</sub> and Aerosol Optical Depth (AOD) from MODIS Sensors on Terra and Aqua

Health ◽  
2013 ◽  
Vol 05 (10) ◽  
pp. 8-13 ◽  
Author(s):  
Minho Kim ◽  
Xingyou Zhang ◽  
James B. Holt ◽  
Yang Liu
2019 ◽  
Vol 248 ◽  
pp. 526-535 ◽  
Author(s):  
Qianqian Yang ◽  
Qiangqiang Yuan ◽  
Linwei Yue ◽  
Tongwen Li ◽  
Huanfeng Shen ◽  
...  

2014 ◽  
Vol 997 ◽  
pp. 843-846 ◽  
Author(s):  
Hao Liu ◽  
Xin Ming Tang ◽  
Wei Cao ◽  
Zhi Ying Xie ◽  
Jing Han Lei ◽  
...  

Based on the monthly data of MODIS Level 3, the spatio-temporal variabilities of Aerosol Optical Depth (AOD) over areas around Beijing have been analyzed from March 2000 to December 2013. The results presented that: (1) In the past 14 years , the annual mean AODs vary between 0.428 and 0.550; The recent 14 years can be divided into two stages, the first stage is 2000-2007, which shows an increasing trend with an increase rate of 1.349%, while the second stage is 2008-2013, which shows an decreasing trend with a decrease rate of 1.483%; Summer has the maximum AOD, but shows a decreasing trend, while winter has the minimum AOD, but shows an increasing trend. (2) AODs over the south are higher than the north, high AODs are mainly distributed along the southwest of Hebei and southwest of Shandong with an AOD of 0.72, while low AODs are mainly distributed along the north of Hebei and the north of Shanxi with an AOD of 0.23; The spatial distribution of AOD varies with the seasons, AODs are high in spring, and are maximized in summer, then show a significant decrease from summer to autumn, while are minimized in winter.


2022 ◽  
Author(s):  
Samuel E. LeBlanc ◽  
Michal Segal-Rozenhaimer ◽  
Jens Redemann ◽  
Connor J. Flynn ◽  
Roy R. Johnson ◽  
...  

Abstract. Aerosol particles can be emitted, transported, removed, or transformed, leading to aerosol variability at scales impacting the climate (days to years and over hundreds of kilometers) or the air quality (hours to days and from meters to hundreds of kilometers). We present the temporal and spatial scales of changes in AOD (Aerosol Optical Depth), and aerosol size (using Angstrom Exponent; AE, and Fine-Mode-Fraction; FMF) over Korea during the 2016 KORUS-AQ (KORea-US Air Quality) atmospheric experiment. We use measurements and retrievals of aerosol optical properties from airborne instruments for remote sensing (4STAR; Spectrometers for Sky-Scanning Sun Tracking Atmospheric Research) and in situ (LARGE; NASA Langley Aerosol Research Group Experiment) on board the NASA DC-8, geostationary satellite (GOCI; Geostationary Ocean Color Imager; Yonsei aerosol retrieval (YAER) version 2) and reanalysis (MERRA-2; Modern-Era Retrospective Analysis for Research and Applications, version 2). Measurements from 4STAR when flying below 500 m, show an average AOD at 501 nm of 0.43 and an average AE of 1.15 with large standard deviation (0.32 and 0.26 for AOD and AE respectively) likely due to mixing of different aerosol types (fine and coarse mode). The majority of AODs due to fine mode aerosol is observed at altitudes lower than 2 km. Even though there are large variations, for 18 out of the 20 flight days, the column AOD measurements by 4STAR along the NASA DC-8 flight trajectories matches the south-Korean regional average derived from GOCI. We also observed that, contrary to prevalent understanding, AE and FMF are more spatially variable than AOD during KORUS-AQ, even when accounting for potential sampling biases by using Monte Carlo resampling. Averaging between measurements and model for the entire KORUS-AQ period, a reduction in correlation by 15 % is 65.0 km for AOD and shorter at 22.7 km for AE. While there are observational and model differences, the predominant factor influencing spatial-temporal homogeneity is the meteorological period. High spatio-temporal variability occur during the dynamic period (25–31 May), and low spatio-temporal variability occur during blocking Rex pattern (01–07 June). The changes in spatial variability scales between AOD and FMF/AE, while inter-related, indicate that microphysical processes that impact mostly the dominant aerosol size, like aerosol particle formation, growth, and coagulation, vary at shorter scales than the aerosol concentration processes that mostly impact AOD, like aerosol emission, transport, and removal.


Sign in / Sign up

Export Citation Format

Share Document