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Application of a Hybrid Statistical–Dynamical System to Seasonal Prediction of North American Temper...

Application of a Hybrid Statistical–Dynamical System to Seasonal Prediction of North American Temper...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2395692792

Application of a Hybrid Statistical–Dynamical System to Seasonal Prediction of North American Temperature and Precipitation

About this item

Full title

Application of a Hybrid Statistical–Dynamical System to Seasonal Prediction of North American Temperature and Precipitation

Publisher

Washington: American Meteorological Society

Journal title

Monthly weather review, 2019-02, Vol.147 (2), p.607-625

Language

English

Formats

Publication information

Publisher

Washington: American Meteorological Society

More information

Scope and Contents

Contents

Recent research demonstrates that dynamical models sometimes fail to represent observed teleconnection patterns associated with predictable modes of climate variability. As a result, model forecast skill may be reduced. We address this gap in skill through the application of a Bayesian postprocessing technique—the calibration, bridging, and merging...

Alternative Titles

Full title

Application of a Hybrid Statistical–Dynamical System to Seasonal Prediction of North American Temperature and Precipitation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2395692792

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2395692792

Other Identifiers

ISSN

0027-0644

E-ISSN

1520-0493

DOI

10.1175/MWR-D-18-0156.1

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