연구성과
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수치예보의 발전을 위해 쌓아 온 KIAPS의 연구성과를 소개합니다.
논문부터 기술과 소프트웨어까지, 더 정확한 예측을 위한 지식과
경험을 나눕니다.
[논문] Data assimilation of AOD and estimation of surface particulate matters over the Arctic
- 작성자
- 마스터관리자
- 작성일
- 조회수
- 80
Abstract:
In this study, more accurate information on the levels of aerosol optical depth (AOD) was calculated from the assimilation of the modeled AOD based on the optimal interpolation method. Additionally, more realistic levels of surface particulate matters over the Arctic were estimated using the assimilated AOD based on the linear relationship between the particulate matters and AODs. In comparison to the MODIS observation, the assimilated AOD was much improved compared with the modeled AOD (e.g., increase in correlation coefficients from −0.15–0.26 to 0.17–0.76 over the Arctic). The newly inferred monthly averages of PM10 and PM2.5 for April–September 2008 were 2.18–3.70 µg m−3 and 0.85–1.68 µg m−3 over the Arctic, respectively. These corresponded to an increase of 140–180%, compared with the modeled PMs. In comparison to in-situ observation, the inferred PMs showed better performances than those from the simulations, particularly at Hyytiala station. Therefore, combining the model simulation and data assimilation provided more accurate concentrations of AOD, PM10, and PM2.5 than those only calculated from the model simulations.
Keywords:
CMAQ model; MODIS; AERONET; aerosol optical depth (τ); optimal interpolation; Arctic; data assimilation; PMs
Citation:
Han, K.M.; Jung, C.H.; Park, R.-S.; Park, S.-Y.; Lee, S.; Kulmala, M.; Petäjä, T.; Karasi ´nski, G.; Sobolewski, P.; Yoon, Y.J.; et al. Data Assimilation of AOD and Estimation of Surface Particulate Matters over the Arctic. Appl. Sci. 2021, 11, 1959.
In this study, more accurate information on the levels of aerosol optical depth (AOD) was calculated from the assimilation of the modeled AOD based on the optimal interpolation method. Additionally, more realistic levels of surface particulate matters over the Arctic were estimated using the assimilated AOD based on the linear relationship between the particulate matters and AODs. In comparison to the MODIS observation, the assimilated AOD was much improved compared with the modeled AOD (e.g., increase in correlation coefficients from −0.15–0.26 to 0.17–0.76 over the Arctic). The newly inferred monthly averages of PM10 and PM2.5 for April–September 2008 were 2.18–3.70 µg m−3 and 0.85–1.68 µg m−3 over the Arctic, respectively. These corresponded to an increase of 140–180%, compared with the modeled PMs. In comparison to in-situ observation, the inferred PMs showed better performances than those from the simulations, particularly at Hyytiala station. Therefore, combining the model simulation and data assimilation provided more accurate concentrations of AOD, PM10, and PM2.5 than those only calculated from the model simulations.
Keywords:
CMAQ model; MODIS; AERONET; aerosol optical depth (τ); optimal interpolation; Arctic; data assimilation; PMs
Citation:
Han, K.M.; Jung, C.H.; Park, R.-S.; Park, S.-Y.; Lee, S.; Kulmala, M.; Petäjä, T.; Karasi ´nski, G.; Sobolewski, P.; Yoon, Y.J.; et al. Data Assimilation of AOD and Estimation of Surface Particulate Matters over the Arctic. Appl. Sci. 2021, 11, 1959.