Articles | Volume 13, issue 3
Geosci. Model Dev., 13, 1055–1073, 2020
https://doi.org/10.5194/gmd-13-1055-2020
Geosci. Model Dev., 13, 1055–1073, 2020
https://doi.org/10.5194/gmd-13-1055-2020
Development and technical paper
10 Mar 2020
Development and technical paper | 10 Mar 2020

Development of Korean Air Quality Prediction System version 1 (KAQPS v1) with focuses on practical issues

Kyunghwa Lee et al.

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Latest update: 08 Dec 2022
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Short summary
For the purpose of providing reliable and robust air quality predictions, an operational air quality prediction system was developed for the main air quality criteria species in South Korea (PM10, PM2.5, CO, O3 and SO2) by preparing the initial conditions for model simulations via data assimilation using satellite- and ground-based observations. The performance of the developed air quality prediction system was evaluated using ground in situ data during the KORUS-AQ campaign period.