Simulating regime structures in weather and climate prediction models

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Low‐frequency nonlinearity and regime behavior in the Northern Hemisphere extratropical atmosphere (2017, methodology): “Last but not least, weather regimes have also been used in model evaluation [e.g., Dawson et al., 2012; Dawson and Palmer, 2014].”
Stochastic climate theory and modeling (2015, unknown): “For instance, Dawson et al. 24 have demonstrated using the ECMWF integrated forecast system that extremely high resolutions (T1279, which corresponds to a grid spacing of about 16km) are required to accurately simulate the observed Northern hemispheric circulation regime structure.”
Machine learning and artificial intelligence to aid climate change research and preparedness (2019, background): “An application in climate sciences of this unsupervised approach would be estimating the number of distinct North Atlantic weather regimes (Dawson et al 2012).”
Decadal climate prediction: an update from the trenches (2014, background): “For example, a great improvement in the representation of the quasipersistent Euro-Atlantic flow regimes is found with increasing model resolution (Dawson et al. 2012).”