Statistical adjustment of decadal predictions in a changing climate

A method for post‐processing decadal predictions from global climate models that accounts for model deficiencies in representing climate trends is proposed and applied to decadal predictions of annual global mean temperature from the Canadian Centre for Climate Modelling and Analysis climate model....

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Vydáno v:	Geophysical research letters Ročník 39; číslo 19
Hlavní autoři:	Kharin, V. V., Boer, G. J., Merryfield, W. J., Scinocca, J. F., Lee, W.-S.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Washington, DC Blackwell Publishing Ltd 16.10.2012 American Geophysical Union John Wiley & Sons, Inc
Témata:	Atmospheric sciences bias correction Climate Climate change Climate models Climate science Computer simulation Data processing decadal predictions Earth sciences Earth, ocean, space Exact sciences and technology Geobiology Geophysics Global climate Global climate models Global temperatures Mathematical models Mathematics skill statistical post-processing trend correction Trends Canada Initialization trend-surface analysis simulation Climate models global Long term variation climate North America standard samples Forecast skill prediction temperature Error correction Forcing errors
ISSN:	0094-8276, 1944-8007
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