41 citations · 57 across the 3 of their papers we have counts for
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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…
stat.AP2013★ 41 cited
Fast dimension-reduced climate model calibration and the effect of data aggregation
Won Chang, Murali Haran, Roman Olson +1
How will the climate system respond to anthropogenic forcings? One approach to this question relies on climate model projections. Current climate projections are considerably uncer…