28 citations · 74 across the 4 of their papers we have counts for
4 papers
A Bayesian approach to regional decadal predictability: Sparse parameter estimation in high-dimensional linear inverse models of high-latitude sea surface temperature variability
Dallas Foster, Darin Comeau, Nathan M. Urban
Stochastic reduced models are an important tool in climate systems whose many spatial and temporal scales cannot be fully discretized or underlying physics may not be fully account…
Predicting regional and pan-Arctic sea ice anomalies with kernel analog forecasting
Darin Comeau, Dimitrios Giannakis, Zhizhen Zhao +1
Predicting Arctic sea ice extent is a notoriously difficult forecasting problem, even for lead times as short as one month. Motivated by Arctic intraannual variability phenomena su…
Data-driven prediction strategies for low-frequency patterns of North Pacific climate variability
Darin Comeau, Zhizhen Zhao, Dimitrios Giannakis +1
The North Pacific exhibits patterns of low-frequency variability on the intra-annual to decadal time scales, which manifest themselves in both model data and the observational reco…
Defining a Trend for a Time Series Which Makes Use of the Intrinsic Time-Scale Decomposition
Juan M. Restrepo, Shankar C. Venkataramani, Darin Comeau +1
We propose criteria that define a trend for time series with inherent multi-scale features. We call this trend the {\it tendency} of a time series. The tendency is defined empirica…