An ensemble quadratic echo state network for non-linear spatio-temporal forecasting-Reference-Cited by-同舟云学术

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An ensemble quadratic echo state network for non-linear spatio-temporal forecasting

Published:2017 Issue:1 Volume:6 Page:315-330
ISSN:2049-1573
Container-title:Stat
language:en
Short-container-title:Stat

Author:

McDermott Patrick L.¹^ORCID,Wikle Christopher K.¹^ORCID

Affiliation:

1. Department of Statistics; University of Missouri; 146 Middlebush Hall Columbia 65211 MO USA

Funder

US National Science Foundation (NSF)

U.S. Census Bureau

NSF-Census Research Network (NCRN)

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference31 articles.

1. Predictive skill of statistical and dynamical climate models in SST forecasts during the 1997-1998 El Niño episode and the 1998 La Niña onset;Barnston;Bulletin of the American Meteorological Society,1999

2. Skill of real-time seasonal ENSO model predictions during 2002-2011: is our capability increasing?;Barnston;Bulletin of the American Meteorological Society,2012

3. Long-lead prediction of Pacific SSTs via Bayesian dynamic modeling;Berliner;Journal of Climate,2000

4. Analog (nonlinear) forecasts of the Southern Oscillation index time series;Drosdowsky;Weather and Forecasting,1994

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