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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Published in:Tellus A: Dynamic Meteorology and Oceanography
Main Authors: Hunt, Freja K., Hirschi, Joël J.-M., Sinha, Bablu, Oliver, Kevin, Wells, Neil
Format: Article in Journal/Newspaper
Language:English
Published: 2013
Subjects:
Online Access: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
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spelling 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
institution 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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