RegEM: Regularized Expectation Maximization
RegEM is a software package that provides regularized variants of the classical expectation maximization algorithm for estimating statistics from and filling in missing values in incomplete (Gaussian) datasets. It is used, for example, for imputing missing values in climate and other datasets and for estimating information about past climates from proxies such as tree-ring widths.
ARfit: Multivariate Autoregressive Model Fitting
ARfit is a software package for autoregressive (AR) time series modeling. It can estimate multivariate AR models from time series data, analyze spectral information (eigenmodes) of fitted models, and simulate time series. It is used, for example, for modeling and analyzing climate and finance time series and electroencephalograms.
GCMs: General Circulation Models
We use a variety of GCMs for our research, from dry atmosphere models to relatively complex coupled atmosphere-ocean models. Our model codes are freely available.