16:00 〜 16:15
[AAS07-17] A numerical study of the lightning-induced nitrogen oxides by using a meteorological model coupled with a bulk lightning model and an offline chemical transport model, Part II : Suggestion from the simulation
キーワード：雷起源窒素酸化物、気象雷モデル、化学輸送モデル
This study investigated the impacts of lightning-induced nitrogen (LNOx) on nitrogen monoxide (NO), nitrogen dioxide (NO2), total reactive nitrogen (NOy), and NOx oxidation product observed at the top of Mt. Fuji, on August 22, 2017 (Wada et al., 2019). The meteorological model (Nishizawa et al., 2015; Sato et al., 2015) coupled with an explicit bulk lightning model (Sato et al., 2019, 2022a) and a chemical transport model (Kajino et al., 2019), which introduced by Sato et al. (2022b), enabled us to investigate the impacts. The simulation by the model elucidated that the NOy measured at the top of Mt. Fuji were emitted below 6 km around Wakasa Bay as LNOx. A comparison of the simulated NOx and measured NOx at Mt. Fuji indicated that the reaction rates of the NO and NO2 cycles were well reproduced in our model. Our simulation also suggests that the simultaneous observation of NOy and NOx is important for understanding the emission of LNOx and subsequent atmospheric chemical reactions and validating chemical transport models.
Reference
Kajino, M., Deushi, M., Sekiyama, T. T., Oshima, N., Yumimoto, K., Tanaka, T. Y., et al. (2019). NHM-Chem, the Japan meteorological agency’s regional meteorology – chemistry model: Model evaluations toward the consistent predictions of the chemical, physical, and optical properties of aerosols. Journal of the Meteorological Society of Japan, 97(2), 337–374. https://doi.org/10.2151/JMSJ.2019-020
Nishizawa, S., Yashiro, H., Sato, Y., Miyamoto, Y., & Tomita, H. (2015). Influence of grid aspect ratio on planetary boundary layer turbulence in large-eddy simulations. Geoscientific Model Development, 8(10), 3393–3419. https://doi.org/10.5194/gmd-8-3393-2015
Sato, Y., Nishizawa, S., Yashiro, H., Miyamoto, Y., Kajikawa, Y., & Tomita, H. (2015). Impacts of cloud microphysics on trade wind cumulus: which cloud microphysics processes contribute to the diversity in a large eddy simulation? Progress in Earth and Planetary Science, 2(1), 23. https://doi.org/10.1186/s40645-015-0053-6
Sato, Y., Miyamoto, Y., & Tomita, H. (2019). Large dependency of charge distribution in a tropical cyclone inner core upon aerosol number concentration. Progress in Earth and Planetary Science, 6(1), 62. https://doi.org/10.1186/s40645-019-0309-7
Sato, Y., Hayashi, S., & Hashimoto, A. (2022a). Difference in the lightning frequency between the July 2018 heavy rainfall event over central Japan and the 2017 northern Kyushu heavy rainfall event in Japan. Atmospheric Science Letters, 23(1). https://doi.org/10.1002/asl.1067
Sato, Y., Kajino, M., Hayashi, S., & Wada, R., (2022b). A numerical study of the lightning-induced nitrogen oxides by using a meteorological model coupled with a bulk lightning model and an offline chemical transport model, Japan Geoscience Union Meeting 2022, AAS11-15, Makuhari, Chiba, Japan
Wada, R., Sadanaga, Y., Kato, S., Katsumi, N., Okochi, H., Iwamoto, Y., et al. (2019). Ground-based observation of lightning-induced nitrogen oxides at a mountaintop in free troposphere. Journal of Atmospheric Chemistry, 76(2), 133–150. https://doi.org/10.1007/s10874-019-09391-4
Reference
Kajino, M., Deushi, M., Sekiyama, T. T., Oshima, N., Yumimoto, K., Tanaka, T. Y., et al. (2019). NHM-Chem, the Japan meteorological agency’s regional meteorology – chemistry model: Model evaluations toward the consistent predictions of the chemical, physical, and optical properties of aerosols. Journal of the Meteorological Society of Japan, 97(2), 337–374. https://doi.org/10.2151/JMSJ.2019-020
Nishizawa, S., Yashiro, H., Sato, Y., Miyamoto, Y., & Tomita, H. (2015). Influence of grid aspect ratio on planetary boundary layer turbulence in large-eddy simulations. Geoscientific Model Development, 8(10), 3393–3419. https://doi.org/10.5194/gmd-8-3393-2015
Sato, Y., Nishizawa, S., Yashiro, H., Miyamoto, Y., Kajikawa, Y., & Tomita, H. (2015). Impacts of cloud microphysics on trade wind cumulus: which cloud microphysics processes contribute to the diversity in a large eddy simulation? Progress in Earth and Planetary Science, 2(1), 23. https://doi.org/10.1186/s40645-015-0053-6
Sato, Y., Miyamoto, Y., & Tomita, H. (2019). Large dependency of charge distribution in a tropical cyclone inner core upon aerosol number concentration. Progress in Earth and Planetary Science, 6(1), 62. https://doi.org/10.1186/s40645-019-0309-7
Sato, Y., Hayashi, S., & Hashimoto, A. (2022a). Difference in the lightning frequency between the July 2018 heavy rainfall event over central Japan and the 2017 northern Kyushu heavy rainfall event in Japan. Atmospheric Science Letters, 23(1). https://doi.org/10.1002/asl.1067
Sato, Y., Kajino, M., Hayashi, S., & Wada, R., (2022b). A numerical study of the lightning-induced nitrogen oxides by using a meteorological model coupled with a bulk lightning model and an offline chemical transport model, Japan Geoscience Union Meeting 2022, AAS11-15, Makuhari, Chiba, Japan
Wada, R., Sadanaga, Y., Kato, S., Katsumi, N., Okochi, H., Iwamoto, Y., et al. (2019). Ground-based observation of lightning-induced nitrogen oxides at a mountaintop in free troposphere. Journal of Atmospheric Chemistry, 76(2), 133–150. https://doi.org/10.1007/s10874-019-09391-4