Articles | Volume 20, issue 21
https://doi.org/10.5194/acp-20-13655-2020
© 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/acp-20-13655-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Nov 2020
Research article |
| 13 Nov 2020
| 13 Nov 2020
Investigation of the wet removal rate of black carbon in East Asia: validation of a below- and in-cloud wet removal scheme in FLEXible PARTicle (FLEXPART) model v10.4
Research Institute for Global Change, Japan Agency for Marine-Earth
Science and Technology (JAMSTEC), Yokohama, 236-0001, Japan
Yugo Kanaya
Research Institute for Global Change, Japan Agency for Marine-Earth
Science and Technology (JAMSTEC), Yokohama, 236-0001, Japan
Masayuki Takigawa
Research Institute for Global Change, Japan Agency for Marine-Earth
Science and Technology (JAMSTEC), Yokohama, 236-0001, Japan
Chunmao Zhu
Research Institute for Global Change, Japan Agency for Marine-Earth
Science and Technology (JAMSTEC), Yokohama, 236-0001, Japan
Seung-Myung Park
Division of Climate and Air Quality Research, National Institute
of Environmental Research, Kyungseo-dong, Seo-Gu, Incheon 404170, Korea
Atsushi Matsuki
Institute of Nature and Environmental Technology, Kanazawa
University, Kanazawa 920-1192, Japan
Yasuhiro Sadanaga
Department of Applied Chemistry, Graduate School of Engineering,
Osaka Prefecture University, Osaka 599-8531, Japan
Sang-Woo Kim
School of Earth and Environmental Sciences, Seoul National
University, Seoul 08826, Korea
Xiaole Pan
Institute of Atmospheric Physics, Chinese Academy of Sciences,
Beijing 100029, China
Ignacio Pisso
Norwegian Institute for Air Research (NILU), Kjeller 2027, Norway
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Cited
14 citations as recorded by crossref.
- Parameterization of below-cloud scavenging for polydisperse fine mode aerosols as a function of rain intensity C. Jung et al. 10.1016/j.jes.2022.07.031
- Trace elements in PM2.5 aerosols in East Asian outflow in the spring of 2018: emission, transport, and source apportionment T. Miyakawa et al. 10.5194/acp-23-14609-2023
- Development and evaluation of the Aerosol Forecast Member in the National Center for Environment Prediction (NCEP)'s Global Ensemble Forecast System (GEFS-Aerosols v1) L. Zhang et al. 10.5194/gmd-15-5337-2022
- Empirical estimation of size-resolved scavenging coefficients derived from in-situ measurements at background sites in Korea during 2013–2020 Y. Choi et al. 10.1016/j.atmosres.2023.106971
- Wetting properties of fresh urban soot particles: Evaluation based on critical supersaturation and observation of surface trace materials S. Ueda et al. 10.1016/j.scitotenv.2021.152274
- Dominance of the residential sector in Chinese black carbon emissions as identified from downwind atmospheric observations during the COVID-19 pandemic Y. Kanaya et al. 10.1038/s41598-021-02518-2
- One-Year Real-Time Measurement of Black Carbon in the Rural Area of Qingdao, Northeastern China: Seasonal Variations, Meteorological Effects, and the COVID-19 Case Analysis S. Cui et al. 10.3390/atmos12030394
- Pollen Dispersion and Deposition in Real-World Urban Settings: A Computational Fluid Dynamic Study P. Roy et al. 10.1007/s41810-023-00198-1
- Refractory black carbon aerosols in rainwater in the summer of 2019 in Beijing: Mass concentration, size distribution and wet scavenging ratio S. Lei et al. 10.1016/j.jes.2022.07.039
- A Study on the Wet Scavenging Characteristics of Atmospheric Aerosol in the Korean Peninsula Using NAMIS (National Ambient Air Quality Monitoring Information System) Data and Its Application to Air Quality Modeling System D. Park et al. 10.5572/KOSAE.2023.39.4.437
- Coupled modeling of in- and below-cloud wet deposition for atmospheric 137Cs transport following the Fukushima Daiichi accident using WRF-Chem: A self-consistent evaluation of 25 scheme combinations S. Fang et al. 10.1016/j.envint.2021.106882
- Improving Below‐Cloud Scavenging Coefficients of Sulfate, Nitrate, and Ammonium in PM2.5 and Implications for Numerical Simulation and Air Pollution Control L. Yao et al. 10.1029/2023JD039487
- Assessing potential indicators of aerosol wet scavenging during long-range transport M. Hilario et al. 10.5194/amt-17-37-2024
- Estimation of Surface Concentrations of Black Carbon from Long-Term Measurements at Aeronet Sites over Korea Y. Choi et al. 10.3390/rs12233904
13 citations as recorded by crossref.
- Parameterization of below-cloud scavenging for polydisperse fine mode aerosols as a function of rain intensity C. Jung et al. 10.1016/j.jes.2022.07.031
- Trace elements in PM2.5 aerosols in East Asian outflow in the spring of 2018: emission, transport, and source apportionment T. Miyakawa et al. 10.5194/acp-23-14609-2023
- Development and evaluation of the Aerosol Forecast Member in the National Center for Environment Prediction (NCEP)'s Global Ensemble Forecast System (GEFS-Aerosols v1) L. Zhang et al. 10.5194/gmd-15-5337-2022
- Empirical estimation of size-resolved scavenging coefficients derived from in-situ measurements at background sites in Korea during 2013–2020 Y. Choi et al. 10.1016/j.atmosres.2023.106971
- Wetting properties of fresh urban soot particles: Evaluation based on critical supersaturation and observation of surface trace materials S. Ueda et al. 10.1016/j.scitotenv.2021.152274
- Dominance of the residential sector in Chinese black carbon emissions as identified from downwind atmospheric observations during the COVID-19 pandemic Y. Kanaya et al. 10.1038/s41598-021-02518-2
- One-Year Real-Time Measurement of Black Carbon in the Rural Area of Qingdao, Northeastern China: Seasonal Variations, Meteorological Effects, and the COVID-19 Case Analysis S. Cui et al. 10.3390/atmos12030394
- Pollen Dispersion and Deposition in Real-World Urban Settings: A Computational Fluid Dynamic Study P. Roy et al. 10.1007/s41810-023-00198-1
- Refractory black carbon aerosols in rainwater in the summer of 2019 in Beijing: Mass concentration, size distribution and wet scavenging ratio S. Lei et al. 10.1016/j.jes.2022.07.039
- A Study on the Wet Scavenging Characteristics of Atmospheric Aerosol in the Korean Peninsula Using NAMIS (National Ambient Air Quality Monitoring Information System) Data and Its Application to Air Quality Modeling System D. Park et al. 10.5572/KOSAE.2023.39.4.437
- Coupled modeling of in- and below-cloud wet deposition for atmospheric 137Cs transport following the Fukushima Daiichi accident using WRF-Chem: A self-consistent evaluation of 25 scheme combinations S. Fang et al. 10.1016/j.envint.2021.106882
- Improving Below‐Cloud Scavenging Coefficients of Sulfate, Nitrate, and Ammonium in PM2.5 and Implications for Numerical Simulation and Air Pollution Control L. Yao et al. 10.1029/2023JD039487
- Assessing potential indicators of aerosol wet scavenging during long-range transport M. Hilario et al. 10.5194/amt-17-37-2024
1 citations as recorded by crossref.
Latest update: 17 Jul 2024
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