Predictability of the tropospheric circulation in the southern hemisphere from CHFP models

An assessment of the predictability and prediction skill of the tropospheric circulation in the Southern Hemisphere was done. The analysis is based on seasonal forecasts of geopotential heights at 200, 500 and 850 hPa, for austral summer and winter from 11 models participating in the Climate Histori...

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Autores principales: Osman, Marisol, Vera, Carolina Susana
Publicado: 2016
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09307575_v46_n7-8_p2423_Osman
http://hdl.handle.net/20.500.12110/paper_09307575_v46_n7-8_p2423_Osman
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spelling paper:paper_09307575_v46_n7-8_p2423_Osman2023-06-08T15:52:47Z Predictability of the tropospheric circulation in the southern hemisphere from CHFP models Osman, Marisol Vera, Carolina Susana El niño southern oscillation Geopotential heights Seasonal predictability Southern hemisphere atmospheric circulation climate prediction El Nino-Southern Oscillation geopotential Southern Hemisphere troposphere Amundsen Sea Bellingshausen Sea Southern Ocean An assessment of the predictability and prediction skill of the tropospheric circulation in the Southern Hemisphere was done. The analysis is based on seasonal forecasts of geopotential heights at 200, 500 and 850 hPa, for austral summer and winter from 11 models participating in the Climate Historical Forecast Project. It is found that predictability (signal-to-variance ratio) and prediction skill (anomaly correlation) in the tropics is higher than in the extratropics and is also higher in summer than in winter. Both predictability and skill are higher at high than at low altitudes. Modest values of predictability and skill are found at polar latitudes in the Bellinghausen-Amundsen Seas. The analysis of the changes in predictability and prediction skill in ENSO events reveals that both are slightly higher in the El Niño-Southern Oscillation (ENSO) years than in all years, while the spatial patterns of maxima and minima remain unchanged. Changes in signal-to-noise ratio observed are mainly due to signal changes rather than changes in noise. Composites of geopotential heights anomalies for El Niño and La Niña years are in agreement with observations. © Springer-Verlag Berlin Heidelberg 2015. Fil:Osman, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Vera, C.S. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2016 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09307575_v46_n7-8_p2423_Osman http://hdl.handle.net/20.500.12110/paper_09307575_v46_n7-8_p2423_Osman
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic El niño southern oscillation
Geopotential heights
Seasonal predictability
Southern hemisphere
atmospheric circulation
climate prediction
El Nino-Southern Oscillation
geopotential
Southern Hemisphere
troposphere
Amundsen Sea
Bellingshausen Sea
Southern Ocean
spellingShingle El niño southern oscillation
Geopotential heights
Seasonal predictability
Southern hemisphere
atmospheric circulation
climate prediction
El Nino-Southern Oscillation
geopotential
Southern Hemisphere
troposphere
Amundsen Sea
Bellingshausen Sea
Southern Ocean
Osman, Marisol
Vera, Carolina Susana
Predictability of the tropospheric circulation in the southern hemisphere from CHFP models
topic_facet El niño southern oscillation
Geopotential heights
Seasonal predictability
Southern hemisphere
atmospheric circulation
climate prediction
El Nino-Southern Oscillation
geopotential
Southern Hemisphere
troposphere
Amundsen Sea
Bellingshausen Sea
Southern Ocean
description An assessment of the predictability and prediction skill of the tropospheric circulation in the Southern Hemisphere was done. The analysis is based on seasonal forecasts of geopotential heights at 200, 500 and 850 hPa, for austral summer and winter from 11 models participating in the Climate Historical Forecast Project. It is found that predictability (signal-to-variance ratio) and prediction skill (anomaly correlation) in the tropics is higher than in the extratropics and is also higher in summer than in winter. Both predictability and skill are higher at high than at low altitudes. Modest values of predictability and skill are found at polar latitudes in the Bellinghausen-Amundsen Seas. The analysis of the changes in predictability and prediction skill in ENSO events reveals that both are slightly higher in the El Niño-Southern Oscillation (ENSO) years than in all years, while the spatial patterns of maxima and minima remain unchanged. Changes in signal-to-noise ratio observed are mainly due to signal changes rather than changes in noise. Composites of geopotential heights anomalies for El Niño and La Niña years are in agreement with observations. © Springer-Verlag Berlin Heidelberg 2015.
author Osman, Marisol
Vera, Carolina Susana
author_facet Osman, Marisol
Vera, Carolina Susana
author_sort Osman, Marisol
title Predictability of the tropospheric circulation in the southern hemisphere from CHFP models
title_short Predictability of the tropospheric circulation in the southern hemisphere from CHFP models
title_full Predictability of the tropospheric circulation in the southern hemisphere from CHFP models
title_fullStr Predictability of the tropospheric circulation in the southern hemisphere from CHFP models
title_full_unstemmed Predictability of the tropospheric circulation in the southern hemisphere from CHFP models
title_sort predictability of the tropospheric circulation in the southern hemisphere from chfp models
publishDate 2016
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09307575_v46_n7-8_p2423_Osman
http://hdl.handle.net/20.500.12110/paper_09307575_v46_n7-8_p2423_Osman
work_keys_str_mv AT osmanmarisol predictabilityofthetroposphericcirculationinthesouthernhemispherefromchfpmodels
AT veracarolinasusana predictabilityofthetroposphericcirculationinthesouthernhemispherefromchfpmodels
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