Gaussian Processes to emulate climate models

Location of Research: Remote

This project is aimed at using Gaussian processes to emulate climate processes (specifically the formation of clouds - microphyisics).

Lab: Pierre Gentine

Direct Supervisor: Pierre Gentine

Position Dates: 11/15/2020 - 6/30/2021

Hours per Week: 10

Qualifications: Statistics, machine learning, some climate understanding

Eligibility: Junior, Senior, Master's 

Pierre Gentine, [email protected]