Articles | Volume 13, issue 3
https://doi.org/10.5194/gmd-13-1055-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-1055-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development of Korean Air Quality Prediction System version 1 (KAQPS v1) with focuses on practical issues
Kyunghwa Lee
Environmental Satellite Center, Climate and Air Quality Research Department,
National Institute of Environmental Research (NIER), Incheon, Republic of
Korea
School of Earth Sciences and Environmental Engineering, Gwangju Institute of
Science and Technology (GIST), Gwangju, Republic of Korea
Jinhyeok Yu
School of Earth Sciences and Environmental Engineering, Gwangju Institute of
Science and Technology (GIST), Gwangju, Republic of Korea
Sojin Lee
Department of Earth and Atmospheric Sciences, University of Houston, Texas,
USA
Mieun Park
Air Quality Forecasting Center, Climate and Air Quality Research Department,
National Institute of Environmental Research (NIER), Incheon, Republic of
Korea
Environmental Meteorology Research Division, National Institute of
Meteorological Sciences (NIMS), Jeju, Republic of Korea
Hun Hong
School of Earth Sciences and Environmental Engineering, Gwangju Institute of
Science and Technology (GIST), Gwangju, Republic of Korea
Soon Young Park
School of Earth Sciences and Environmental Engineering, Gwangju Institute of
Science and Technology (GIST), Gwangju, Republic of Korea
Myungje Choi
Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of
Korea
Jhoon Kim
Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of
Korea
Younha Kim
Department of Advanced Technology Fusion, Konkuk University, Seoul, Republic
of Korea
Jung-Hun Woo
Department of Advanced Technology Fusion, Konkuk University, Seoul, Republic
of Korea
Sang-Woo Kim
School of Earth and Environmental Sciences, Seoul National University,
Seoul, Republic of Korea
Chul H. Song
CORRESPONDING AUTHOR
School of Earth Sciences and Environmental Engineering, Gwangju Institute of
Science and Technology (GIST), Gwangju, Republic of Korea
Model code and software
Korean Air Quality Prediction System (KAQPS) v1 K.LEE https://doi.org/10.5281/zenodo.3659551
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.
For the purpose of providing reliable and robust air quality predictions, an operational air...