TOP Research Research Teams Computational Climate Science Research Team
Team Leader Hirofumi Tomita
- htomita[at]riken.jp (Lab location: Kobe)
- Please change [at] to @
- Team Leader, Computational ClimateScience Research Team, AICS (renamed R-CCS in 2018), RIKEN (-present)
- Senior Scientist, Research Institute of Global Change, JAMSTEC (fka Frontier Research Center for Global Change)
- Researcher, Frontier Research Center for Global Change (fka Frontier Research System for Global Change)
- Graduated from Graduate school of engineering, The University of Tokyo
- High performance computing
- Climate modeling
In climate simulations, combinations of numerical methods in models lead to large uncertainties of results. The necessary issues are to identify which part does cause the uncertainties and to estimate the inevitable uncertainties. To make such issues be easily resolved, our team develops the common library for computational climate science with high efficiency on high performance computers. The library systematizes various schemes, providing with model itself and analysis tools. At the same time, we will carry out pioneering works of large-scale climate computing. To do them, we are constructing the numerical schemes and reconsidering their theories by more principle than that in conventional models.
Main research results
- Yanase, T., S. Nishizawa, H. Miura, and H. Tomita:
“Characteristic form and distance in high-level hierarchical structure of self-aggregated clouds in radiative-convective equilibrium”
Geophysical Research Letters, Vol. 49, Issue 18, e2022GL100000 (2022).
- Kawai, Y., and Tomita, H.:
"Numerical Accuracy of Advection Scheme Necessary for Large-Eddy Simulation of Planetary Boundary Layer Turbulence"
Mon. Weather. Rev., 149(9), 2993-3012 (2021).
- Yanase, T., Nishizawa, S., Miura, H., Takemi, T., and Tomita, H.:
"New critical lenght for the onset of self-aggregation of moist convection"
Geophys. Res. Lett., 47, e2020GL088763 (2020).
- Adachi, S. A. and Tomita, H.:
"Methodology of the constraint condition in dynamical downscaling for regional climate evaluation: A review"
J. Geophys. Res., 125 (11), e2019JD032166 (2020).
- Sueki, K., Yamaura, T., Yashiro, H., Nishizawa, S., Yoshida, R., Kajikawa, Y., and Tomita, H.:
"Convergence of convective updraft emsembles with respect to the grid spacing of atmospheric models"
Geophys. Res. Lett., 46, 14817-14825 (2019).
- Sato, Y., Goto, D., Michibata, T., Suzuki, K., Takemura, T., Tomita, H. and Nakajima, T.:
"Aerosol effects on cloud water amounts were successfully simulated by a global cloud-system resolving model"
Nature Communications, 9, 985 (2018).
- Adachi, S. A., Nishizawa, S., Yoshida, R., Yamaura, T., Ando, K., Yashiro, H., Kajikawa, Y., and Tomita, H.:
"Contributions of changes in climatology and perturbation and the resulting nonlinearity to regional climate change"
Nature Communications, 8, 2224 (2017).
- Sato, Y., Miura, H., Yashiro, H., Goto, D., Takemura, T., Tomita, H., and Nakajima, T.:
"Unrealistically pristine air in the Arctic produced by current global scale models"
Scientific Reports, 6, Article number: 26561 (2016).
- Nishizawa, S., Yashiro, H., Sato, Y., Miyamoto, Y., and Tomita, H.:
"Influence of grid aspect ratio on planetary boundary layer turbulence in large-eddy simulations"
Geosci. Model Dev., 8, 3393-3419 (2015).
- Miyamoto, Y., Kajikawa, Y., Yoshida, R., Yamaura, T., Yashiro, H., and Tomita, H.:
"Deep moist atmospheric convection in a sub-kilometer global simulation"
Geophys. Res. Lett., pp.4922–4926 (2013).