Articles | Volume 14, issue 4
https://doi.org/10.5194/gmd-14-2235-2021
© Author(s) 2021. 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-14-2235-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Comparison of three aerosol representations of NHM-Chem (v1.0) for the simulations of air quality and climate-relevant variables
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 305-0052, Japan
Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba, 305-8572, Japan
Makoto Deushi
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 305-0052, Japan
Tsuyoshi Thomas Sekiyama
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 305-0052, Japan
Naga Oshima
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 305-0052, Japan
Keiya Yumimoto
Research Institute for Applied Mechanics, Kyushu University, Kasuga, 816-8580, Japan
Taichu Yasumichi Tanaka
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 305-0052, Japan
Joseph Ching
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 305-0052, Japan
Akihiro Hashimoto
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 305-0052, Japan
Tetsuya Yamamoto
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 305-0052, Japan
Masaaki Ikegami
Japan Meteorological Agency, Minato, 105-8431, Japan
Akane Kamada
Japan Meteorological Agency, Minato, 105-8431, Japan
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 305-0052, Japan
Makoto Miyashita
Japan Meteorological Agency, Minato, 105-8431, Japan
Yayoi Inomata
Institute of Nature and Environmental Technology, Kanazawa University, Kanazawa, 920-1192, Japan
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 305-0052, Japan
Shin-ichiro Shima
Graduate School of Information Science, University of Hyogo, Kobe, 650-0047, Japan
Pradeep Khatri
Center for Atmospheric and Oceanic Studies, Graduate School of Science, Tohoku University, Sendai, 980-8578, Japan
Atsushi Shimizu
National Institute for Environmental Studies, Tsukuba, 305-8506, Japan
Hitoshi Irie
Center for Environmental Remote Sensing, Chiba University, Chiba, 263-8522, Japan
Kouji Adachi
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 305-0052, Japan
Yuji Zaizen
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 305-0052, Japan
Yasuhito Igarashi
Institute for Integrated Radiation and Nuclear Science, Kyoto University, Kumatori, 590-0494, Japan
College of Science, Ibaraki University, Mito, 310-8512, Japan
Hiromasa Ueda
Disaster Prevention Research Institute, Kyoto University, Uji, 611-0011, Japan
Takashi Maki
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 305-0052, Japan
Masao Mikami
Japan Meteorological Business Support Center, Chiyoda, 101-0054, Japan
Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, 305-0052, Japan
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Cited
13 citations as recorded by crossref.
- Corrigendum to “A numerical study of lightning-induced NOx and formation of NOy observed at the summit of Mt. Fuji using an explicit bulk lightning and photochemistry model” [Atmos. Environ. X 18 (2023) 100218] Y. Sato et al. 10.1016/j.aeaoa.2023.100231
- Potential Impact of Battery Electric Vehicle Penetration and Changes in Upstream Process Emissions Assuming Night‐Charging on Summer O3 Concentrations in Japan S. Kayaba & M. Kajino 10.1029/2022JD037578
- Potential Impacts of Energy and Vehicle Transformation Through 2050 on Oxidative Stress‐Inducing PM2.5 Metals Concentration in Japan S. Kayaba & M. Kajino 10.1029/2023GH000789
- Spatiotemporal Variations in Summertime Arctic Aerosol Optical Depth Caused by Synoptic‐Scale Atmospheric Circulation in Three Reanalyses A. Yamagami et al. 10.1029/2022JD038007
- Numerical simulation of IL-8-based relative inflammation potentials of aerosol particles from vehicle exhaust and non-exhaust emission sources in Japan M. Kajino et al. 10.1016/j.aeaoa.2024.100237
- Decreasing trends in PM2.5 and BC concentrations observed on central and southwestern Japanese Islands Y. Inomata et al. 10.1016/j.apr.2024.102258
- Improvement in Dust Storm Simulation by Considering Stone Coverage Effects for Stony Deserts in East Asia T. Sekiyama et al. 10.1029/2022JD037295
- Quantitative influences of interannual variations in meteorological factors on surface ozone concentration in the hot summer of 2018 in Japan M. Kajino et al. 10.1016/j.aeaoa.2022.100191
- Biomass Burning Plume from Simultaneous Observations of Polarization and Radiance at Different Viewing Directions with SGLI S. Mukai et al. 10.3390/rs15225405
- A numerical study of lightning-induced NOx and formation of NOy observed at the summit of Mt. Fuji using an explicit bulk lightning and photochemistry model Y. Sato et al. 10.1016/j.aeaoa.2023.100218
- Effects of Mountains on Aerosols Determined by AERONET/DRAGON/J‐ALPS Measurements and Regional Model Simulations M. Nakata et al. 10.1029/2021EA001972
- Review: Exchanges of O<sub>3</sub>, NO, and NO<sub>2</sub> between forest ecosystems and the atmosphere R. WADA et al. 10.2480/agrmet.D-22-00023
- Statistical Evaluation of the Temperature Forecast Error in the Lower‐Level Troposphere on Short‐Range Timescales Induced by Aerosol Variability A. Yamagami et al. 10.1029/2022JD036595
13 citations as recorded by crossref.
- Corrigendum to “A numerical study of lightning-induced NOx and formation of NOy observed at the summit of Mt. Fuji using an explicit bulk lightning and photochemistry model” [Atmos. Environ. X 18 (2023) 100218] Y. Sato et al. 10.1016/j.aeaoa.2023.100231
- Potential Impact of Battery Electric Vehicle Penetration and Changes in Upstream Process Emissions Assuming Night‐Charging on Summer O3 Concentrations in Japan S. Kayaba & M. Kajino 10.1029/2022JD037578
- Potential Impacts of Energy and Vehicle Transformation Through 2050 on Oxidative Stress‐Inducing PM2.5 Metals Concentration in Japan S. Kayaba & M. Kajino 10.1029/2023GH000789
- Spatiotemporal Variations in Summertime Arctic Aerosol Optical Depth Caused by Synoptic‐Scale Atmospheric Circulation in Three Reanalyses A. Yamagami et al. 10.1029/2022JD038007
- Numerical simulation of IL-8-based relative inflammation potentials of aerosol particles from vehicle exhaust and non-exhaust emission sources in Japan M. Kajino et al. 10.1016/j.aeaoa.2024.100237
- Decreasing trends in PM2.5 and BC concentrations observed on central and southwestern Japanese Islands Y. Inomata et al. 10.1016/j.apr.2024.102258
- Improvement in Dust Storm Simulation by Considering Stone Coverage Effects for Stony Deserts in East Asia T. Sekiyama et al. 10.1029/2022JD037295
- Quantitative influences of interannual variations in meteorological factors on surface ozone concentration in the hot summer of 2018 in Japan M. Kajino et al. 10.1016/j.aeaoa.2022.100191
- Biomass Burning Plume from Simultaneous Observations of Polarization and Radiance at Different Viewing Directions with SGLI S. Mukai et al. 10.3390/rs15225405
- A numerical study of lightning-induced NOx and formation of NOy observed at the summit of Mt. Fuji using an explicit bulk lightning and photochemistry model Y. Sato et al. 10.1016/j.aeaoa.2023.100218
- Effects of Mountains on Aerosols Determined by AERONET/DRAGON/J‐ALPS Measurements and Regional Model Simulations M. Nakata et al. 10.1029/2021EA001972
- Review: Exchanges of O<sub>3</sub>, NO, and NO<sub>2</sub> between forest ecosystems and the atmosphere R. WADA et al. 10.2480/agrmet.D-22-00023
- Statistical Evaluation of the Temperature Forecast Error in the Lower‐Level Troposphere on Short‐Range Timescales Induced by Aerosol Variability A. Yamagami et al. 10.1029/2022JD036595
Latest update: 22 Nov 2024
Short summary
This study compares performance of aerosol representation methods of the Japan Meteorological Agency's regional-scale nonhydrostatic meteorology–chemistry model (NHM-Chem). It indicates separate treatment of sea salt and dust in coarse mode and that of light-absorptive and non-absorptive particles in fine mode could provide accurate assessments on aerosol feedback processes.
This study compares performance of aerosol representation methods of the Japan Meteorological...