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dc.contributor.authorLorenzo, G.R.
dc.contributor.authorArellano, A.F.
dc.contributor.authorCambaliza, M.O.
dc.contributor.authorCastro, C.
dc.contributor.authorCruz, M.T.
dc.contributor.authorDi, Girolamo, L.
dc.contributor.authorGacal, G.F.
dc.contributor.authorHilario, M.R.A.
dc.contributor.authorLagrosas, N.
dc.contributor.authorOng, H.J.
dc.contributor.authorSimpas, J.B.
dc.contributor.authorUy, S.N.
dc.contributor.authorSorooshian, A.
dc.date.accessioned2024-03-20T00:46:06Z
dc.date.available2024-03-20T00:46:06Z
dc.date.issued2023-09-26
dc.identifier.citationLorenzo, G. R., Arellano, A. F., Cambaliza, M. O., Castro, C., Cruz, M. T., Di Girolamo, L., Gacal, G. F., Hilario, M. R. A., Lagrosas, N., Ong, H. J., Simpas, J. B., Uy, S. N., and Sorooshian, A.: An emerging aerosol climatology via remote sensing over Metro Manila, the Philippines, Atmos. Chem. Phys., 23, 10579–10608, https://doi.org/10.5194/acp-23-10579-2023, 2023.
dc.identifier.issn1680-7316
dc.identifier.doi10.5194/acp-23-10579-2023
dc.identifier.urihttp://hdl.handle.net/10150/671412
dc.description.abstractAerosol particles in Southeast Asia are challenging to characterize due to their complex life cycle within the diverse topography and weather of the region. An emerging aerosol climatology was established based on AErosol RObotic NETwork (AERONET) data (December 2009 to October 2018) for clear-sky days in Metro Manila, the Philippines. Aerosol optical depth (AOD) values were highest from August to October, partly from fine urban aerosol particles, including soot, coinciding with the burning season in insular Southeast Asia when smoke is often transported to Metro Manila during the southwest monsoon. Clustering of AERONET volume size distributions (VSDs) resulted in five aerosol particle sources based on the position and magnitude of their peaks in the VSD and the contributions of specific particle species to AOD per cluster based on MERRA-2. The clustering showed that the majority of aerosol particles above Metro Manila were from a clean marine source (58%), which could be related to AOD values there being relatively low compared to other cities in the region. The following are the other particle sources over Metro Manila: fine polluted sources (20%), mixed-dust sources (12%), urban and industrial sources (5%), and cloud processing sources (5%). Furthermore, MERRA-2 AOD data over Southeast Asia were analyzed using empirical orthogonal functions. Along with AOD fractional compositional contributions and wind regimes, four dominant aerosol particle air masses emerged: two sulfate air masses from East Asia, an organic carbon source from Indonesia, and a sulfate source from the Philippines. Knowing the local and regional aerosol particle air masses that impact Metro Manila is useful in identifying the sources while gaining insight into how aerosol particles are affected by long-range transport and their impact on regional weather. © 2023 Genevieve Rose Lorenzo et al.
dc.language.isoen
dc.publisherCopernicus Publications
dc.rights© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleAn emerging aerosol climatology via remote sensing over Metro Manila, the Philippines
dc.typeArticle
dc.typetext
dc.contributor.departmentDepartment of Hydrology and Atmospheric Sciences, University of Arizona
dc.contributor.departmentDepartment of Chemical and Environmental Engineering, University of Arizona
dc.identifier.journalAtmospheric Chemistry and Physics
dc.description.noteOpen access journal
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal Published Version
dc.source.journaltitleAtmospheric Chemistry and Physics
refterms.dateFOA2024-03-20T00:46:06Z


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© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.
Except where otherwise noted, this item's license is described as © Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.