Journal article
Forecast Skill and Predictability of Observed Atlantic Sea Surface Temperatures
- Abstract:
-
An empirical statistical model is constructed to assess the forecast skill and the linear predictability of Atlantic Ocean sea surface temperature (SST) variability. Linear inverse modeling (LIM) is used to build a dynamically based statistical model using observed Atlantic SST anomalies between latitudes 20 degrees S and 66 degrees N from 1870 to 2009. LIM allows one to fit a multivariate red-noise model to the observed annually averaged SST anomalies and to test it. Forecast skill is assess...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Funding
Oxford Martin School
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Balliol College, Oxford
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Bibliographic Details
- Publisher:
- American Meteorological Society Publisher's website
- Journal:
- Journal of Climate Journal website
- Volume:
- 25
- Issue:
- 14
- Pages:
- 5047-5056
- Publication date:
- 2012-01-01
- DOI:
- EISSN:
-
1520-0442
- ISSN:
-
0894-8755
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:199395
- UUID:
-
uuid:0d66f862-0dd3-4e63-b82e-975541514de8
- Local pid:
- pubs:199395
- Source identifiers:
-
199395
- Deposit date:
- 2012-12-19
Terms of use
- Copyright holder:
- American Meteorological Society
- Copyright date:
- 2012
- Notes:
- Copyright 2012 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be "fair use" under Section 107 of the U.S. Copyright Act September 2010 Page 2 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC section 108, as revised by P.L. 94-553) does not require the AMS's permission. Republication, systematic reproduction, posting in electronic form, such as on a web site or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. Additional details are provided in the AMS Copyright Policy, available on the AMS Web site located at (http://www.ametsoc.org/) or from the AMS at 617-227-2425 or copyrights@ametsoc.org.
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