Combining point correlation maps with self-organising maps to compare observed and simulated atmospheric teleconnection patterns
We use a new method based on point correlation maps and self-organising maps (SOMs) to identify teleconnection patterns in 60 yr of National Centres for Environmental Prediction/National Centre for Atmospheric Research (NCEP/NCAR) sea level pressure (SLP) re-analysis data. The most prevalent pattern...
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ftnerc:oai:nora.nerc.ac.uk:502727 2023-05-15T15:10:54+02:00 Combining point correlation maps with self-organising maps to compare observed and simulated atmospheric teleconnection patterns Hunt, Freja K. Hirschi, Joël J.-M. Sinha, Bablu Oliver, Kevin Wells, Neil 2013-07-23 text http://nora.nerc.ac.uk/id/eprint/502727/ https://nora.nerc.ac.uk/id/eprint/502727/1/Hirschi_20822-98021-1-PB.pdf https://doi.org/10.3402/tellusa.v65i0.20822 en eng https://nora.nerc.ac.uk/id/eprint/502727/1/Hirschi_20822-98021-1-PB.pdf Hunt, Freja K.; Hirschi, Joël J.-M.; Sinha, Bablu; Oliver, Kevin; Wells, Neil. 2013 Combining point correlation maps with self-organising maps to compare observed and simulated atmospheric teleconnection patterns. Tellus A, 65. 20822. https://doi.org/10.3402/tellusa.v65i0.20822 <https://doi.org/10.3402/tellusa.v65i0.20822> Publication - Article PeerReviewed 2013 ftnerc https://doi.org/10.3402/tellusa.v65i0.20822 2023-02-04T19:37:25Z We use a new method based on point correlation maps and self-organising maps (SOMs) to identify teleconnection patterns in 60 yr of National Centres for Environmental Prediction/National Centre for Atmospheric Research (NCEP/NCAR) sea level pressure (SLP) re-analysis data. The most prevalent patterns are the El Nino Southern Oscillation (ENSO), the North Atlantic Oscillation (NAO) and the Southern Annular Mode (SAM). Asymmetries are found between base points in opposite centres of action of the NAO and the Pacific North America pattern (PNA). The SOM-based method is a powerful tool that allows us to efficiently assess how realistically teleconnections are reproduced in any climate model. The degree of agreement between modelled and re-analysis-based teleconnections (or between different models) can be summarised in a single plot. Here, we illustrate this by assessing the skill of the medium complexity climate model FORTE (Fast Ocean Rapid Troposphere Experiment). FORTE reproduces some realistic teleconnections, such as the Arctic Oscillation (AO), the NAO, the PNA, the SAM, the African Monsoon and ENSO, along with several other teleconnections, which resemble to varying degrees the corresponding NCEP patterns. However, FORTE tends to underestimate the strength of the correlation patterns and the patterns tend to be slightly too zonal. The accuracy of frequency of occurrence is variable between patterns. The Indian Ocean is a region where FORTE performs poorly, as it does not reproduce the teleconnection patterns linked to the Indian Monsoon. In contrast, the North and equatorial Pacific and North Atlantic are reasonably well reproduced. Article in Journal/Newspaper Arctic North Atlantic North Atlantic oscillation Natural Environment Research Council: NERC Open Research Archive Arctic Pacific Indian Tellus A: Dynamic Meteorology and Oceanography 65 1 20822 |
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Open Polar |
collection |
Natural Environment Research Council: NERC Open Research Archive |
op_collection_id |
ftnerc |
language |
English |
description |
We use a new method based on point correlation maps and self-organising maps (SOMs) to identify teleconnection patterns in 60 yr of National Centres for Environmental Prediction/National Centre for Atmospheric Research (NCEP/NCAR) sea level pressure (SLP) re-analysis data. The most prevalent patterns are the El Nino Southern Oscillation (ENSO), the North Atlantic Oscillation (NAO) and the Southern Annular Mode (SAM). Asymmetries are found between base points in opposite centres of action of the NAO and the Pacific North America pattern (PNA). The SOM-based method is a powerful tool that allows us to efficiently assess how realistically teleconnections are reproduced in any climate model. The degree of agreement between modelled and re-analysis-based teleconnections (or between different models) can be summarised in a single plot. Here, we illustrate this by assessing the skill of the medium complexity climate model FORTE (Fast Ocean Rapid Troposphere Experiment). FORTE reproduces some realistic teleconnections, such as the Arctic Oscillation (AO), the NAO, the PNA, the SAM, the African Monsoon and ENSO, along with several other teleconnections, which resemble to varying degrees the corresponding NCEP patterns. However, FORTE tends to underestimate the strength of the correlation patterns and the patterns tend to be slightly too zonal. The accuracy of frequency of occurrence is variable between patterns. The Indian Ocean is a region where FORTE performs poorly, as it does not reproduce the teleconnection patterns linked to the Indian Monsoon. In contrast, the North and equatorial Pacific and North Atlantic are reasonably well reproduced. |
format |
Article in Journal/Newspaper |
author |
Hunt, Freja K. Hirschi, Joël J.-M. Sinha, Bablu Oliver, Kevin Wells, Neil |
spellingShingle |
Hunt, Freja K. Hirschi, Joël J.-M. Sinha, Bablu Oliver, Kevin Wells, Neil Combining point correlation maps with self-organising maps to compare observed and simulated atmospheric teleconnection patterns |
author_facet |
Hunt, Freja K. Hirschi, Joël J.-M. Sinha, Bablu Oliver, Kevin Wells, Neil |
author_sort |
Hunt, Freja K. |
title |
Combining point correlation maps with self-organising maps to compare observed and simulated atmospheric teleconnection patterns |
title_short |
Combining point correlation maps with self-organising maps to compare observed and simulated atmospheric teleconnection patterns |
title_full |
Combining point correlation maps with self-organising maps to compare observed and simulated atmospheric teleconnection patterns |
title_fullStr |
Combining point correlation maps with self-organising maps to compare observed and simulated atmospheric teleconnection patterns |
title_full_unstemmed |
Combining point correlation maps with self-organising maps to compare observed and simulated atmospheric teleconnection patterns |
title_sort |
combining point correlation maps with self-organising maps to compare observed and simulated atmospheric teleconnection patterns |
publishDate |
2013 |
url |
http://nora.nerc.ac.uk/id/eprint/502727/ https://nora.nerc.ac.uk/id/eprint/502727/1/Hirschi_20822-98021-1-PB.pdf https://doi.org/10.3402/tellusa.v65i0.20822 |
geographic |
Arctic Pacific Indian |
geographic_facet |
Arctic Pacific Indian |
genre |
Arctic North Atlantic North Atlantic oscillation |
genre_facet |
Arctic North Atlantic North Atlantic oscillation |
op_relation |
https://nora.nerc.ac.uk/id/eprint/502727/1/Hirschi_20822-98021-1-PB.pdf Hunt, Freja K.; Hirschi, Joël J.-M.; Sinha, Bablu; Oliver, Kevin; Wells, Neil. 2013 Combining point correlation maps with self-organising maps to compare observed and simulated atmospheric teleconnection patterns. Tellus A, 65. 20822. https://doi.org/10.3402/tellusa.v65i0.20822 <https://doi.org/10.3402/tellusa.v65i0.20822> |
op_doi |
https://doi.org/10.3402/tellusa.v65i0.20822 |
container_title |
Tellus A: Dynamic Meteorology and Oceanography |
container_volume |
65 |
container_issue |
1 |
container_start_page |
20822 |
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1766341840998498304 |