Introducing new lightning schemes into the CHASER (MIROC) chemistry–climate model

He, Yanfeng; Hoque, Hossain Mohammed Syedul; Sudo, Kengo

doi:https://doi.org/10.5194/gmd-15-5627-2022

Articles | Volume 15, issue 14

https://doi.org/10.5194/gmd-15-5627-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-5627-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 14

Development and technical paper

|

21 Jul 2022

Development and technical paper |

| 21 Jul 2022

Introducing new lightning schemes into the CHASER (MIROC) chemistry–climate model

Yanfeng He, Hossain Mohammed Syedul Hoque, and Kengo Sudo

Supplement

https://doi.org/10.5194/gmd-15-5627-2022-supplement

Data sets

OMI/Aura NO2 Cloud-Screened Total and Tropospheric Column L3 Global Gridded 0.25 degree x 0.25 degree V3 Nickolay A. Krotkov, Lok N. Lamsal, Sergey V. Marchenko, Edward A. Celarier, Eric J.Bucsela, William H. Swartz, Joanna Joiner, and the OMI core team https://doi.org/10.5067/Aura/OMI/DATA3007

Model code and software

Introducing new lightning schemes into the CHASER (MIROC) chemistry climate model Yanfeng He, M. S. Hossain Hoque, and Kengo Sudo https://doi.org/10.5281/ZENODO.5835796

Short summary

Lightning-produced NO_x (LNO_x) is a major source of NO_x. Hence, it is crucial to improve the prediction accuracy of lightning and LNO_x in chemical climate models. By modifying existing lightning schemes and testing them in the chemical climate model CHASER, we improved the prediction accuracy of lightning in CHASER. Different lightning schemes respond very differently under global warming, which indicates further research is needed considering the reproducibility of long-term trends of lightning.