IMAGe Brown Bag- Multivariate Space-time Modelling of Global Climate Ensembles

07/22/2016 - 12:00pm to 1:00pm
ML Chapman Room

Matt Edwards
Newcastle University

Ensembles are generated from global climate models in order to study the state of the earth's system. These ensembles often require tens of Terabytes of storage and effort to control and coordinate access. This project explores data compression of ensembles via multivariate global space-time models. The methodology extends an existing scalar multi-step conditional approach, for axially symmetric processes, to the multivariate setting. This is achieved with the specification of non-stationary vector autoregressive spectral processes that provide computationally feasible algorithms in high-dimensions. Ultimately, this paradigm provides earth system investigators with the ability to generate new ensemble members through conditional statistical model simulations.

Friday, July 22, 2016
12:00 pm - 1:00 pm
Mesa Lab, Chapman Room
(Bring your lunch)