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Journal ArticleDOI

The North American multimodel ensemble: Phase-1 seasonal-to-interannual prediction; phase-2 toward developing intraseasonal prediction

TLDR
The recent U.S. National Academies report, Assessment of Intraseasonal to Interannual Climate Prediction and Predictability, was unequivocal in recommending the need for the development of a North American Multimodel Ensemble (NMME) operational predictive capability.
Abstract
The recent U.S. National Academies report, Assessment of Intraseasonal to Interannual Climate Prediction and Predictability, was unequivocal in recommending the need for the development of a North American Multimodel Ensemble (NMME) operational predictive capability. Indeed, this effort is required to meet the specific tailored regional prediction and decision support needs of a large community of climate information users. The multimodel ensemble approach has proven extremely effective at quantifying prediction uncertainty due to uncertainty in model formulation and has proven to produce better prediction quality (on average) than any single model ensemble. This multimodel approach is the basis for several international collaborative prediction research efforts and an operational European system, and there are numerous examples of how this multimodel ensemble approach yields superior forecasts compared to any single model. Based on two NOAA Climate Test bed (CTB) NMME workshops (18 February and 8 April 2...

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Journal ArticleDOI

The NCEP climate forecast system version 2

TL;DR: The second version of the NCEP Climate Forecast System (CFSv2) was made operational at the National Center for Environmental Prediction (NCEP) in 2011 as discussed by the authors.
Journal ArticleDOI

Deep learning for multi-year ENSO forecasts

TL;DR: It is shown that a statistical forecast model employing a deep-learning approach produces skilful ENSO forecasts for lead times of up to one and a half years, overcoming a weakness of dynamical forecast models.
Journal ArticleDOI

Divergent consensuses on Arctic amplification influence on midlatitude severe winter weather

TL;DR: The Arctic has warmed more than twice as fast as the global average since the late twentieth century, a phenomenon known as Arctic amplification (AA), and progress has been made in understanding the mechanisms that link it to midlatitude weather variability as discussed by the authors.
References
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Journal ArticleDOI

The NCEP climate forecast system version 2

TL;DR: The second version of the NCEP Climate Forecast System (CFSv2) was made operational at the National Center for Environmental Prediction (NCEP) in 2011 as discussed by the authors.
Journal ArticleDOI

The NCEP Climate Forecast System

TL;DR: The Climate Forecast System (CFS) as discussed by the authors is a fully coupled ocean-land-atmosphere dynamical seasonal prediction system, which became operational at NCEP in August 2004.
Journal ArticleDOI

Development of a european multimodel ensemble system for seasonal-to-interannual prediction (demeter)

TL;DR: In this article, a multi-model ensemble-based system for seasonal-to-interannual prediction has been developed in a joint European project known as DEMETER (Development of a European Multimodel Ensemble Prediction System for Seasonal to Interannual Prediction).
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