Member

IMADA, Yukiko Associate Professor Atmosphere and Ocean Research Institute Office: -304 E-mail: HP:
Research Field Climate Dynamics, Climate modeling, Air-sea interaction Current Research We study the mechanisms of climate variability on annual to multi-decadal timescale using an atmospheric GCM (general circulation model) and a coupled GCM. We also focus on predictability of climate variations based on a climate prediction system. There are various types of forecasts, ranging from daily weather forecasts, seasonal forecasts, decadal-scale forecasts, and even global warming projection, and the way climate models are combined and the way initial and boundary conditions are created differ according to the characteristics of each. By successfully using these different types of models, we aim to identify the mechanisms of the phenomena that are the key to forecasting. It is hoped that these findings will lead to improved forecasting systems in the future. We are also engaged in research focused on extreme phenomena (extreme events). We are also challenging to study the relationship between the probability of extreme weather events and climate change, as well as their predictability several years to several decades in the future, by utilizing large ensemble experiments. Representative Publications 1. Imada, Y. and H. Kawase, 2021: Potential seasonal predictability of the risk of local rainfall extremes estimated using high-resolution large ensemble simulations. Geophys. Res. Lett., 48, e2021GL096236. 2. Imada, Y., H. Kawase, M. Watanabe, M. Arai, and I. Takayabu, 2020:　Advanced event attribution for the regional heavy rainfall events. npj Climate and Atmospheric Science, 3, 35. 3. Imada, Y., H. Kawase, M. Watanabe, H. Shiogama, and M. Arai, 2019: The July 2018 high temperature event in Japan could not have happened without human-induced global warming. SOLA, 15A, 8-12.

IMADA, Yukiko

Associate Professor
Atmosphere and Ocean Research Institute

Office: -304
E-mail:
HP:

Research Field

Climate Dynamics, Climate modeling, Air-sea interaction

Current Research

We study the mechanisms of climate variability on annual to multi-decadal timescale using an atmospheric GCM (general circulation model) and a coupled GCM. We also focus on predictability of climate variations based on a climate prediction system. There are various types of forecasts, ranging from daily weather forecasts, seasonal forecasts, decadal-scale forecasts, and even global warming projection, and the way climate models are combined and the way initial and boundary conditions are created differ according to the characteristics of each. By successfully using these different types of models, we aim to identify the mechanisms of the phenomena that are the key to forecasting. It is hoped that these findings will lead to improved forecasting systems in the future.
We are also engaged in research focused on extreme phenomena (extreme events). We are also challenging to study the relationship between the probability of extreme weather events and climate change, as well as their predictability several years to several decades in the future, by utilizing large ensemble experiments.

Representative Publications

1. Imada, Y. and H. Kawase, 2021: Potential seasonal predictability of the risk of local rainfall extremes estimated using high-resolution large ensemble simulations. Geophys. Res. Lett., 48, e2021GL096236.
2. Imada, Y., H. Kawase, M. Watanabe, M. Arai, and I. Takayabu, 2020:　Advanced event attribution for the regional heavy rainfall events. npj Climate and Atmospheric Science, 3, 35.
3. Imada, Y., H. Kawase, M. Watanabe, H. Shiogama, and M. Arai, 2019: The July 2018 high temperature event in Japan could not have happened without human-induced global warming. SOLA, 15A, 8-12.