EGU23-3150
https://doi.org/10.5194/egusphere-egu23-3150
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Prediction of PM2.5 concentrations during winter in East Asia using climate indices

Jaein Jeong and Rokjin Park
Jaein Jeong and Rokjin Park
  • Seoul National University, Seoul, Korea, Republic of (ss99@snu.ac.kr)

The synoptic meteorological field plays an important role in the daily-scale PM2.5 variability in East Asia. Since East Asia is located on the eastern boundary of the Eurasian continent, the expansion and contraction of the Siberian high-pressure system act as an essential mechanism for determining surface PM2.5 concentrations in the winter season. Here, we select four climate indices representing the variability of the Siberian high-pressure system and analyze the correlation with the daily variability of the observed winter PM2.5 concentrations in China and South Korea over the past six years. Siberian High Intensity and East Asian Winter Monsoon indices showed a more pronounced correlation with the daily surface PM2.5 concentration changes, and the daily surface PM2.5 concentrations in North China Plain showed a maximum change of ±40 μg m-3 after exceeding the threshold (+1 or −1). The climate indices associated with the Siberian high-pressure system can effectively predict daily PM2.5 concentrations in East Asia within a week.

How to cite: Jeong, J. and Park, R.: Prediction of PM2.5 concentrations during winter in East Asia using climate indices, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-3150, https://doi.org/10.5194/egusphere-egu23-3150, 2023.