Comparison of Aerosol Properties in the Korean Peninsula Between AERONET Version 2 and 3 Data Set

Koo, Ja Ho; Kim, Sang Min; Lee, Taegyung; Lee, Yun Gon

doi:10.1007/s13143-020-00221-2

Cited by 7 publications

(2 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The CA fraction in Korea was highest in winter, and the high CA in winter may have influenced the LOW fraction. Lee et al (2021) reported that most AERONET sites in Korea had a low mean SSA 440 in winter, which could be explained by our results regarding the CA fraction in Korea.…”

Section: Seasonal Characteristicssupporting

confidence: 57%

Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012–2019)

Eom

Kim²,

Lee³

et al. 2022

Atmospheric Research

View full text Add to dashboard Cite

Section: Seasonal Characteristicssupporting

confidence: 57%

Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012–2019)

Eom

Kim²,

Lee³

et al. 2022

Atmospheric Research

View full text Add to dashboard Cite

“…This feature reveals the importance of channel selection in the simple application of the relationship between AOD and PM 2.5 for the investigation of regional aerosol pollution. Considering the large wavelength dependence of ground-based AOD measurement [47], exact examination of the relationship between AOD and PM 2.5 cannot be guaranteed without the appropriate channel selection. This lesson should be significantly considered for the usage of AOD to connect with the level of PM 2.5 directly [37].…”

Section: Resultsmentioning

confidence: 99%

Comparison of PM2.5 in Seoul, Korea Estimated from the Various Ground-Based and Satellite AOD

et al. 2021

Self Cite

View full text Add to dashboard Cite

Based on multiple linear regression (MLR) models, we estimated the PM2.5 at Seoul using a number of aerosol optical depth (AOD) values obtained from ground-based and satellite remote sensing observations. To construct the MLR model, we consider various parameters related to the ambient meteorology and air quality. In general, all AOD values resulted in the high quality of PM2.5 estimation through the MLR method: mostly correlation coefficients >~0.8. Among various polar-orbit satellite AODs, AOD values from the MODIS measurement contribute to better PM2.5 estimation. We also found that the quality of estimated PM2.5 shows some seasonal variation; the estimated PM2.5 values consistently have the highest correlation with in situ PM2.5 in autumn, but are not well established in winter, probably due to the difficulty of AOD retrieval in the winter condition. MLR modeling using spectral AOD values from the ground-based measurements revealed that the accuracy of PM2.5 estimation does not depend on the selected wavelength. Although all AOD values used in this study resulted in a reasonable accuracy range of PM2.5 estimation, our analyses of the difference in estimated PM2.5 reveal the importance of utilizing the proper AOD for the best quality of PM2.5 estimation.

show abstract

Spatio-temporal variations of aerosol optical depth over Ukraine under the Russia-Ukraine war

Jiadan,

Liqiao,

Fang

et al. 2023

Atmospheric Environment

View full text Add to dashboard Cite

Comparison of Aerosol Properties in the Korean Peninsula Between AERONET Version 2 and 3 Data Set

Cited by 7 publications

References 44 publications

Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012–2019)

Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012–2019)

Comparison of PM2.5 in Seoul, Korea Estimated from the Various Ground-Based and Satellite AOD

Spatio-temporal variations of aerosol optical depth over Ukraine under the Russia-Ukraine war

Contact Info

Product

Resources

About