Forecasting the number of extreme daily events on seasonal timescales
Forecasting the number of extreme daily events on seasonal timescales
About this item
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Publisher
Washington, DC: Blackwell Publishing Ltd
Journal title
Language
English
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Publisher
Washington, DC: Blackwell Publishing Ltd
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Scope and Contents
Contents
We investigate the potential for skillfully predicting the number of daily temperature extremes over 3 month (seasonal) periods. We use retrospective forecasts from the Met Office seasonal forecasting system, GloSea4, nominally initialized 1 month ahead of the target season. Initially, we define daily extremes to be events outside either the upper...
Alternative Titles
Full title
Forecasting the number of extreme daily events on seasonal timescales
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Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_1024664854
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1024664854
Other Identifiers
ISSN
0148-0227,2169-897X
E-ISSN
2156-2202,2169-8996
DOI
10.1029/2011JD016541
