Research
Representative research topics, with slide decks and short summaries. New entries are added incrementally as new work is presented.
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.
Predictability of Climate Tipping: A Data Assimilation Approach
How predictable are climate tipping events once internal variability of the Earth system is accounted for? A data assimilation framework is used to quantify the predictability of tipping induced by internal variability rather than external forcing alone.