발행물

전체 논문

88

1

Prediction of enthalpy of vaporization for particulate matter through molecular dynamics using OPLS force field
Song, CH[Song, Chul Han], Jeong, SW[Jeong, Seung Weon], Kim, Y[Kim, Yeonseo], Lim, HK[Lim, Hyung-Kyu], Kim, MC[Kim, Min Chan], Lee, S[Lee, Sangheon]
JOURNAL OF AEROSOL SCIENCE, 202508

2

Improved estimation of new particle formation rate for air quality model in a polluted region of South Korea
Song, C.H.[Song, Chul Han], Kim, Y.[Kim, Yusin], Shim, S.[Shim, Sangdeok], Cho, S.[Cho, Seogju], Yum, S.S.[Yum, Seong Soo], Park, S.H.[Park, Sung Hoon]
Atmospheric Environment, 202507

3

Trends and classification of aerosol observed from MODIS sensor over Northern Europe and the Arctic
Song, CH[Song, Chul Han], Han, K.M.[Han, Kyung M.], Jung, C.H.[Jung, Chang H.], Koo, J.H.[Koo, Ja H.], Yoon, Y.J.[Yoon, Young J.], Lee, B.Y.[Lee, Bang Y.], Kim, H.S.[Kim, Hyun S.], Seo, S.[Seo, S.]
Atmospheric Pollution Research, 202501

4

Investigating uncertainties in air quality models used in GMAP/SIJAQ 2021 field campaign: General performance of different models and ensemble results
Song, C.H.[Song, Chul Han], Cha, Y.[Cha, Yesol], Lee, J.-J.[Lee, Jong-Jae], Kim, S.[Kim, Soontae], Park, R.J.[Park, Rokjin J.], Lee, M.-I.[Lee, Myong-In], Woo, J.-H.[Woo, Jung-Hun], Choi, J.-H.[Choi, Jae-Ho], Bae, K.[Bae, Kangho], Yu, J.[Yu, Jinhyeok], Kim, E.[Kim, Eunhye], Kim, H.[Kim, Hyeonmin], Lee, S.-H.[Lee, Seung-Hee], Kim, J.[Kim, Jinseok], Jeon, K.-H.[Jeon, Kwon-ho], Song, C.-K.[Song, Chang-Keun, Chang, L.-S.[Chang, Lim-Seok
Atmospheric Environment, 202501

5

An investigation into atmospheric nitrous acid (HONO) processes in South Korea
Song, C.H.[Song, Chul Han], Kim, K.[Kim, Kiyeon], Han, K.M.[Han, Kyung Man], Lee, H.[Lee, Hyojun], Beardsley, R.[Beardsley, Ros, Yu, J.[Yu, Jinhyeok], Yarwood, G.[Yarwood, Greg], Koo, B.[Koo, Bonyoung], Madalipay, J.[Madalipay, Jas, Woo, J.-H.[Woo, Jung-Hun], Cho, S.[Cho, Seogju]
Atmospheric Chemistry and Physics, 202411

6

Deep-BCSI: A deep learning-based framework for bias correction and spatial imputation of PM2.5 concentrations in South Korea
Song, C.H.[Song, Chul Han], Singh, D.[Singh, Deveshwar], Choi, Y.[Choi, Yunsoo], Park, J.[Park, Jincheol], Salman, A.K.[Salman, Ahmed K, Sayeed, A.[Sayeed, Alqamah]
Atmospheric Research, 202405

7

Synergistic combination of information from ground observations, geostationary satellite, and air quality modeling towards improved PM2.5 predictability
Song, C.H.[Song, Chul H.], Jeon, M.[Jeon, Moongu], Yu, J.[Yu, Jinhyeok], Lee, D.[Lee, Dogyeong], Lee, S.[Lee, Sojin], Kim, H.S.[Kim, Hyun S.], Han, K.M.[Han, Kyung M.], Park, S.[Park, Seohui], Im, J.[Im, Jungho], Park, S.-Y.[Park, Soon-Young, Peuch, V.-H.[Peuch, Vincent-, Saide, P.E.[Saide, Pablo E.], Carmichael, G.R.[Carmichael,, Kim, J.[Kim, Jeeho], Kim, J.[Kim, Jhoon], Song, C.-K.[Song, Chang-Keun, Woo, J.-H.[Woo, Jung-Hun], Ryu, S.-H.[Ryu, Seong-Hyun]
npj Climate and Atmospheric Science, 202305

8

Performance comparisons of the three data assimilation methods for improved predictability of PM2·5: Ensemble Kalman filter, ensemble square root filter, and three-dimensional variational methods
Song, C.H.[Song, C.H.], Dash, U.K.[Dash, U.K.], Park, S.-Y.[Park, S.-Y.], Yu, J.[Yu, J.], Yumimoto, K.[Yumimoto, K.], Uno, I.[Uno, I.]
Environmental Pollution, 202304

9

Evaluation of biogenic emissions from three different vegetation distributions in South Korea
Song, C.H.[Song, C.H.], Yu, J.[Yu, J.], Han, K.M.[Han, K.M.], Lee, K.[Lee, K.], Lee, S.[Lee, S.], Kim, Y.[Kim, Y.], Woo, J.-H.[Woo, J.-H.], Kim, S.[Kim, S.], Wisthaler, A.[Wisthaler, A.]
Atmospheric Environment, 202303

10

The Comprehensive Automobile Research System (CARS) - a Python-based automobile emissions inventory model
Song, CH[Song, Chul-Han], Wang, CT[Wang, Chi-Tsan], Kim, Y[Kim, Younha], Woo, JH[Woo, Jung-Hun], Baek, BH[Baek, Bok H.], Pedruzzi, R[Pedruzzi, Rizzie, Park, M[Park, Minwoo]
GEOSCIENTIFIC MODEL DEVELOPMENT, 202206