Hans Jarett Ong

Hans Jarett Ong

PhD candidate at NAIST specializing in Causal AI. My research connects theory with practical applications to build robust and fair AI systems, drawing on my experience deploying ML models.

Determination of Monthly Aerosol Types in Manila Observatory and Notre Dame of Marbel University from Aerosol Robotic Network (AERONET) measurements

Published in AGU Fall Meeting, San Francisco, California, USA, 2016

This study classified aerosol types in Manila Observatory and Notre Dame of Marbel University using AERONET Level 2.0 inversion data and a 5D Mahalanobis classification based on extinction, absorption, SSA, and refractive indices.

Findings:

  • Polluted dust (PD) was the dominant type at both sites (~75–77%)
  • Urban industrial developing (UID) and biomass burning white smoke (BBW) appeared seasonally
  • PD concentrations peaked from February to May, aligning with dry seasons and loose environmental regulation

The results demonstrate a link between aerosol types and seasonal/regulatory factors in urban Philippine sites.

Recommended citation: Ong, Hans Jarett J., et al. (2016). "Determination of Monthly Aerosol Types in Manila Observatory and Notre Dame of Marbel University from Aerosol Robotic Network (AERONET) measurements." Oral Presentation, AGU Fall Meeting.