Global aerosol simulations using NICAM.16 on a 14&thinsp;km grid spacing for a climate study: improved and remaining issues  relative to a lower-resolution model

Goto, Daisuke; Sato, Yousuke; Yashiro, Hisashi; Suzuki, Kentaroh; Oikawa, Eiji; Kudo, Rei; Nagao, Takashi M.; Nakajima, Teruyuki

doi:https://doi.org/10.5194/gmd-13-3731-2020

Articles | Volume 13, issue 8

https://doi.org/10.5194/gmd-13-3731-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-13-3731-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 8

Model evaluation paper

|

25 Aug 2020

Model evaluation paper |

| 25 Aug 2020

Global aerosol simulations using NICAM.16 on a 14 km grid spacing for a climate study: improved and remaining issues relative to a lower-resolution model

Daisuke Goto, Yousuke Sato, Hisashi Yashiro, Kentaroh Suzuki, Eiji Oikawa, Rei Kudo, Takashi M. Nagao, and Teruyuki Nakajima

Supplement

https://doi.org/10.5194/gmd-13-3731-2020-supplement

Data sets

. A data for aerosol simulations by NICAM.16 with 14-km and 56-km grid spacings Daisuke Goto, Yousuke Sato, Hisashi Yashiro, Kentaroh Suzuki, Eiji Oikawa, Rei Kudo, and Teruyuki Nakajima https://doi.org/10.5281/zenodo.3687323

Short summary

We executed a global aerosol model over 3 years with the finest grid size in the world. The results elucidated that global annual averages of parameters associated with the aerosols were generally comparable to those obtained from a low-resolution model (LRM), but spatiotemporal variabilities of the aerosol components and their associated parameters provided better results closer to the observations than those from the LRM. This study clarified the advantages of the high-resolution model.