most citedAccounting for Skill in Trend, Variability, and Autocorrelation Facilitates Better Multi-Model Projections: Application to the AMOC and Temperature Time Series

14 citations · 14 across the 1 of their papers we have counts for

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1 paper

stat.AP2018★ 14 cited

Accounting for Skill in Trend, Variability, and Autocorrelation Facilitates Better Multi-Model Projections: Application to the AMOC and Temperature Time Series

Roman Olson, Soon-Il An, Yanan Fan +1

We present a novel quasi-Bayesian method to weight multiple dynamical models by their skill at capturing both potentially non-linear trends and first-order autocorrelated variabili…