An expert system-based approach to prediction of year-to-year climatic variations in the North Atlantic region
A novel approach to climate forecasting on an interannual time scale is described. The approach is based on concepts and techniques from artificial intelligence and expert systems. The suitability of this approach to climate diagnostics and forecasting problems and its advantages compared with conve...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.331.3789 2023-05-15T17:29:07+02:00 An expert system-based approach to prediction of year-to-year climatic variations in the North Atlantic region S. N. Rodionov J. H. Martin The Pennsylvania State University CiteSeerX Archives 1999 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.3789 http://www.cs.colorado.edu/~martin/Papers/climate99.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.3789 http://www.cs.colorado.edu/~martin/Papers/climate99.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.cs.colorado.edu/~martin/Papers/climate99.pdf temperature surface text 1999 ftciteseerx 2016-09-11T00:02:08Z A novel approach to climate forecasting on an interannual time scale is described. The approach is based on concepts and techniques from artificial intelligence and expert systems. The suitability of this approach to climate diagnostics and forecasting problems and its advantages compared with conventional forecasting techniques are discussed. The article highlights some practical aspects of the development of climatic expert systems (CESs) and describes an implementation of such a system for the North Atlantic (CESNA). Particular attention is paid to the content of CESNA’s knowledge base and those conditions that make climatic forecasts one to several years in advance possible. A detailed evaluation of the quality of the experimental real-time forecasts made by CESNA for the winters of 1995–1996, 1996–1997 and 1997–1998 are presented. Copyright © 1999 Royal Meteorological Society. Text North Atlantic Unknown |
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ftciteseerx |
language |
English |
topic |
temperature surface |
spellingShingle |
temperature surface S. N. Rodionov J. H. Martin An expert system-based approach to prediction of year-to-year climatic variations in the North Atlantic region |
topic_facet |
temperature surface |
description |
A novel approach to climate forecasting on an interannual time scale is described. The approach is based on concepts and techniques from artificial intelligence and expert systems. The suitability of this approach to climate diagnostics and forecasting problems and its advantages compared with conventional forecasting techniques are discussed. The article highlights some practical aspects of the development of climatic expert systems (CESs) and describes an implementation of such a system for the North Atlantic (CESNA). Particular attention is paid to the content of CESNA’s knowledge base and those conditions that make climatic forecasts one to several years in advance possible. A detailed evaluation of the quality of the experimental real-time forecasts made by CESNA for the winters of 1995–1996, 1996–1997 and 1997–1998 are presented. Copyright © 1999 Royal Meteorological Society. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
S. N. Rodionov J. H. Martin |
author_facet |
S. N. Rodionov J. H. Martin |
author_sort |
S. N. Rodionov |
title |
An expert system-based approach to prediction of year-to-year climatic variations in the North Atlantic region |
title_short |
An expert system-based approach to prediction of year-to-year climatic variations in the North Atlantic region |
title_full |
An expert system-based approach to prediction of year-to-year climatic variations in the North Atlantic region |
title_fullStr |
An expert system-based approach to prediction of year-to-year climatic variations in the North Atlantic region |
title_full_unstemmed |
An expert system-based approach to prediction of year-to-year climatic variations in the North Atlantic region |
title_sort |
expert system-based approach to prediction of year-to-year climatic variations in the north atlantic region |
publishDate |
1999 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.3789 http://www.cs.colorado.edu/~martin/Papers/climate99.pdf |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
http://www.cs.colorado.edu/~martin/Papers/climate99.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.3789 http://www.cs.colorado.edu/~martin/Papers/climate99.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
_version_ |
1766122728328265728 |