Amane Kubo
Ph.D. Student, Civil Engineering · The University of Tokyo
Advisor: Yohei Sawada
I am a Ph.D. student in Civil Engineering at the University of Tokyo, advised by Yohei Sawada.
Research Interests
My research aims to establish the conditions under which mathematical models and observations can be optimally combined for better climate prediction — particularly around climate tipping points — and to inform policy-making for climate mitigation that directly reflects state-of-the-art scientific progress.
- Climate Tipping
- Climate Prediction
- Earth System Model
- Mathematical Statistics
- Dynamical Systems
- Quantum Computing
Recent Research
Uncertainty Quantification of an Earth System Model for Climate Tipping Risk
Risk assessment of climate tipping including parametric uncertainty in Earth system model projections of AMOC weakening. This study is the first study which used one of the Earth System Model, LOVECLIM, to conceptualize the predictability of Climate Tipping.
Quantum Lattice Boltzmann Method: Approximating the Nonlinear Collision Term
A quantum-computing version of the Lattice Boltzmann method, implementing a linearly-approximated nonlinear collision term in two dimensions and evaluating its performance.
Manifold Learning-Aided Offline Parameter Estimation of an Earth System Model
Offline parameter uncertainty quantification of an Earth system model, using manifold learning to make efficient use of observations of a changing climate for parameter estimation.