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An annual time series of weekly size-resolved aerosol properties in the megacity of Metro Manila, Philippines.

Connor StahlMelliza Templonuevo CruzPaola Angela BañagaGrace BetitoRachel A BraunMojtaba Azadi AghdamMaria Obiminda CambalizaGenevieve Rose LorenzoAlexander B MacDonaldPreciosa Corazon PabroaJohn Robin YeeJames Bernard SimpasArmin Sorooshian
Published in: Scientific data (2020)
Size-resolved aerosol samples were collected in Metro Manila between July 2018 and October 2019. Two Micro-Orifice Uniform Deposit Impactors (MOUDI) were deployed at Manila Observatory in Quezon City, Metro Manila with samples collected on a weekly basis for water-soluble speciation and mass quantification. Additional sets were collected for gravimetric and black carbon analysis, including during special events such as holidays. The unique aspect of the presented data is a year-long record with weekly frequency of size-resolved aerosol composition in a highly populated megacity where there is a lack of measurements. The data are suitable for research to understand the sources, evolution, and fate of atmospheric aerosols, as well as studies focusing on phenomena such as aerosol-cloud-precipitation-meteorology interactions, regional climate, boundary layer processes, and health effects. The dataset can be used to initialize, validate, and/or improve models and remote sensing algorithms.
Keyphrases
  • water soluble
  • electronic health record
  • machine learning
  • big data
  • climate change
  • drinking water
  • deep learning
  • case control