Monsoonal variations in aerosol optical properties and estimation of aerosol optical depth using ground-based meteorological and air quality data in Peninsular Malaysia
Obtaining continuous aerosol-optical-depth (AOD) measurements is a difficult task due to the cloud-cover problem. With the main motivation of overcoming this problem, an AOD-predicting model is proposed. In this study, the optical properties of aerosols in Penang, Malaysia were analyzed for four mon...
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00044446 2023-05-15T13:06:42+02:00 Monsoonal variations in aerosol optical properties and estimation of aerosol optical depth using ground-based meteorological and air quality data in Peninsular Malaysia Tan, F. Lim, H. S. Abdullah, K. Yoon, T. L. Holben, B. 2015-04 electronic https://doi.org/10.5194/acp-15-3755-2015 https://noa.gwlb.de/receive/cop_mods_00044446 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00044066/acp-15-3755-2015.pdf https://acp.copernicus.org/articles/15/3755/2015/acp-15-3755-2015.pdf eng eng Copernicus Publications Atmospheric Chemistry and Physics -- http://www.atmos-chem-phys.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2069847 -- 1680-7324 https://doi.org/10.5194/acp-15-3755-2015 https://noa.gwlb.de/receive/cop_mods_00044446 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00044066/acp-15-3755-2015.pdf https://acp.copernicus.org/articles/15/3755/2015/acp-15-3755-2015.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2015 ftnonlinearchiv https://doi.org/10.5194/acp-15-3755-2015 2022-02-08T22:40:03Z Obtaining continuous aerosol-optical-depth (AOD) measurements is a difficult task due to the cloud-cover problem. With the main motivation of overcoming this problem, an AOD-predicting model is proposed. In this study, the optical properties of aerosols in Penang, Malaysia were analyzed for four monsoonal seasons (northeast monsoon, pre-monsoon, southwest monsoon, and post-monsoon) based on data from the AErosol RObotic NETwork (AERONET) from February 2012 to November 2013. The aerosol distribution patterns in Penang for each monsoonal period were quantitatively identified according to the scattering plots of the Ångström exponent against the AOD. A new empirical algorithm was proposed to predict the AOD data. Ground-based measurements (i.e., visibility and air pollutant index) were used in the model as predictor data to retrieve the missing AOD data from AERONET due to frequent cloud formation in the equatorial region. The model coefficients were determined through multiple regression analysis using selected data set from in situ data. The calibrated model coefficients have a coefficient of determination, R2, of 0.72. The predicted AOD of the model was generated based on these calibrated coefficients and compared against the measured data through standard statistical tests, yielding a R2 of 0.68 as validation accuracy. The error in weighted mean absolute percentage error (wMAPE) was less than 0.40% compared with the real data. The results revealed that the proposed model efficiently predicted the AOD data. Performance of our model was compared against selected LIDAR data to yield good correspondence. The predicted AOD can enhance measured short- and long-term AOD and provide supplementary information for climatological studies and monitoring aerosol variation. Article in Journal/Newspaper Aerosol Robotic Network Niedersächsisches Online-Archiv NOA Atmospheric Chemistry and Physics 15 7 3755 3771 |
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article Verlagsveröffentlichung Tan, F. Lim, H. S. Abdullah, K. Yoon, T. L. Holben, B. Monsoonal variations in aerosol optical properties and estimation of aerosol optical depth using ground-based meteorological and air quality data in Peninsular Malaysia |
topic_facet |
article Verlagsveröffentlichung |
description |
Obtaining continuous aerosol-optical-depth (AOD) measurements is a difficult task due to the cloud-cover problem. With the main motivation of overcoming this problem, an AOD-predicting model is proposed. In this study, the optical properties of aerosols in Penang, Malaysia were analyzed for four monsoonal seasons (northeast monsoon, pre-monsoon, southwest monsoon, and post-monsoon) based on data from the AErosol RObotic NETwork (AERONET) from February 2012 to November 2013. The aerosol distribution patterns in Penang for each monsoonal period were quantitatively identified according to the scattering plots of the Ångström exponent against the AOD. A new empirical algorithm was proposed to predict the AOD data. Ground-based measurements (i.e., visibility and air pollutant index) were used in the model as predictor data to retrieve the missing AOD data from AERONET due to frequent cloud formation in the equatorial region. The model coefficients were determined through multiple regression analysis using selected data set from in situ data. The calibrated model coefficients have a coefficient of determination, R2, of 0.72. The predicted AOD of the model was generated based on these calibrated coefficients and compared against the measured data through standard statistical tests, yielding a R2 of 0.68 as validation accuracy. The error in weighted mean absolute percentage error (wMAPE) was less than 0.40% compared with the real data. The results revealed that the proposed model efficiently predicted the AOD data. Performance of our model was compared against selected LIDAR data to yield good correspondence. The predicted AOD can enhance measured short- and long-term AOD and provide supplementary information for climatological studies and monitoring aerosol variation. |
format |
Article in Journal/Newspaper |
author |
Tan, F. Lim, H. S. Abdullah, K. Yoon, T. L. Holben, B. |
author_facet |
Tan, F. Lim, H. S. Abdullah, K. Yoon, T. L. Holben, B. |
author_sort |
Tan, F. |
title |
Monsoonal variations in aerosol optical properties and estimation of aerosol optical depth using ground-based meteorological and air quality data in Peninsular Malaysia |
title_short |
Monsoonal variations in aerosol optical properties and estimation of aerosol optical depth using ground-based meteorological and air quality data in Peninsular Malaysia |
title_full |
Monsoonal variations in aerosol optical properties and estimation of aerosol optical depth using ground-based meteorological and air quality data in Peninsular Malaysia |
title_fullStr |
Monsoonal variations in aerosol optical properties and estimation of aerosol optical depth using ground-based meteorological and air quality data in Peninsular Malaysia |
title_full_unstemmed |
Monsoonal variations in aerosol optical properties and estimation of aerosol optical depth using ground-based meteorological and air quality data in Peninsular Malaysia |
title_sort |
monsoonal variations in aerosol optical properties and estimation of aerosol optical depth using ground-based meteorological and air quality data in peninsular malaysia |
publisher |
Copernicus Publications |
publishDate |
2015 |
url |
https://doi.org/10.5194/acp-15-3755-2015 https://noa.gwlb.de/receive/cop_mods_00044446 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00044066/acp-15-3755-2015.pdf https://acp.copernicus.org/articles/15/3755/2015/acp-15-3755-2015.pdf |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
Atmospheric Chemistry and Physics -- http://www.atmos-chem-phys.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2069847 -- 1680-7324 https://doi.org/10.5194/acp-15-3755-2015 https://noa.gwlb.de/receive/cop_mods_00044446 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00044066/acp-15-3755-2015.pdf https://acp.copernicus.org/articles/15/3755/2015/acp-15-3755-2015.pdf |
op_rights |
uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/acp-15-3755-2015 |
container_title |
Atmospheric Chemistry and Physics |
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15 |
container_issue |
7 |
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3755 |
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3771 |
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1766016833222082560 |