Multimodel Ensemble ENSO Prediction with CCSM and CFS
By B. Kirtman, Dughong Min. 2009
158 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/bd70670b24a5f676998f75917367a72d089e2385
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In Atmospheric Science
In Global and Planetary Change
Citations in the corpus
- Probabilistic Seasonal Forecasts in the North American Multimodel Ensemble: A Baseline Skill Assessment (2016, background): “sample forecast uncertainty due to model diversity (Palmer et al. 2004; Hagedorn et al. 2005; Doblas-Reyes et al. 2005; Kirtman and Min 2009).”
- What is the current state of scientific knowledge with regard to seasonal and decadal forecasting? (2012, methodology): “Modelling uncertainties are sampled either by perturbing model parameters to create an ensemble of variants of a particular model (Smith et al 2010), or by combining forecasts from different centres to create a multi-model ensemble (Palmer et al 2004, Wang et al 2009, Kirtman and Min 2009).”
- Skill improvement from increased ensemble size and model diversity (2014, background): “This enhancement due to adding new signals is called complementary skill [Kirtman and Min, 2009].”