Evaluation of Historical CMIP5 GCM Simulation Results Based on Detected Atmospheric Teleconnections

Atmospheric teleconnections are characteristic to the climate system and exert major impacts on the global and regional climate. Accurate representation of teleconnections by general circulation models (GCMs) is indispensable given their fundamental role in the large scale circulation patterns. In t...

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Main Authors: Erzsébet Kristóf, Zoltán Barcza, Roland Hollós, Judit Bartholy, Rita Pongrácz
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/11/7/723
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author Erzsébet Kristóf
Zoltán Barcza
Roland Hollós
Judit Bartholy
Rita Pongrácz
author_facet Erzsébet Kristóf
Zoltán Barcza
Roland Hollós
Judit Bartholy
Rita Pongrácz
author_sort Erzsébet Kristóf
collection DOAJ
description Atmospheric teleconnections are characteristic to the climate system and exert major impacts on the global and regional climate. Accurate representation of teleconnections by general circulation models (GCMs) is indispensable given their fundamental role in the large scale circulation patterns. In this study a statistical method is introduced to evaluate historical GCM outputs of the fifth phase of the Coupled Model Intercomparison Project (CMIP5) with respect to teleconnection patterns. The introduced method is based on the calculation of correlations between gridded time series of the 500 hPa geopotential height fields in the Northern Hemisphere. GCMs are quantified by a simple diversity index. Additionally, potential action centers of the teleconnection patterns are identified on which the local polynomial regression model is fitted. Diversity fields and regression curves obtained from the GCMs are compared against the NCEP/NCAR Reanalysis 1 and the ERA-20C reanalysis datasets. The introduced method is objective, reproducible, and reduces the number of arbitrary decisions during the analysis. We conclude that major teleconnection patterns are positioned in the GCMs and in the reanalysis datasets similarly, however, spatial differences in their intensities can be severe in some cases that could hamper the applicability of the GCM results for some regions. Based on the evaluation method, best-performing GCMs can be clearly distinguished. Evaluation of the GCMs based on the introduced method might help the modeling community to choose GCMs that are the most applicable for impact studies and for regional downscaling exercises.
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spelling doaj.art-a6a5071b54184467a17da199f504c63d2023-11-20T06:03:35ZengMDPI AGAtmosphere2073-44332020-07-0111772310.3390/atmos11070723Evaluation of Historical CMIP5 GCM Simulation Results Based on Detected Atmospheric TeleconnectionsErzsébet Kristóf0Zoltán Barcza1Roland Hollós2Judit Bartholy3Rita Pongrácz4Department of Meteorology, Eötvös Loránd University, Pázmány P. s. 1/A, H-1117 Budapest, HungaryDepartment of Meteorology, Eötvös Loránd University, Pázmány P. s. 1/A, H-1117 Budapest, HungaryDepartment of Meteorology, Eötvös Loránd University, Pázmány P. s. 1/A, H-1117 Budapest, HungaryDepartment of Meteorology, Eötvös Loránd University, Pázmány P. s. 1/A, H-1117 Budapest, HungaryDepartment of Meteorology, Eötvös Loránd University, Pázmány P. s. 1/A, H-1117 Budapest, HungaryAtmospheric teleconnections are characteristic to the climate system and exert major impacts on the global and regional climate. Accurate representation of teleconnections by general circulation models (GCMs) is indispensable given their fundamental role in the large scale circulation patterns. In this study a statistical method is introduced to evaluate historical GCM outputs of the fifth phase of the Coupled Model Intercomparison Project (CMIP5) with respect to teleconnection patterns. The introduced method is based on the calculation of correlations between gridded time series of the 500 hPa geopotential height fields in the Northern Hemisphere. GCMs are quantified by a simple diversity index. Additionally, potential action centers of the teleconnection patterns are identified on which the local polynomial regression model is fitted. Diversity fields and regression curves obtained from the GCMs are compared against the NCEP/NCAR Reanalysis 1 and the ERA-20C reanalysis datasets. The introduced method is objective, reproducible, and reduces the number of arbitrary decisions during the analysis. We conclude that major teleconnection patterns are positioned in the GCMs and in the reanalysis datasets similarly, however, spatial differences in their intensities can be severe in some cases that could hamper the applicability of the GCM results for some regions. Based on the evaluation method, best-performing GCMs can be clearly distinguished. Evaluation of the GCMs based on the introduced method might help the modeling community to choose GCMs that are the most applicable for impact studies and for regional downscaling exercises.https://www.mdpi.com/2073-4433/11/7/723teleconnection patternsteleconnection methoddiversity indexCMIP5ERA-20Chistorical GCM outputs
spellingShingle Erzsébet Kristóf
Zoltán Barcza
Roland Hollós
Judit Bartholy
Rita Pongrácz
Evaluation of Historical CMIP5 GCM Simulation Results Based on Detected Atmospheric Teleconnections
Atmosphere
teleconnection patterns
teleconnection method
diversity index
CMIP5
ERA-20C
historical GCM outputs
title Evaluation of Historical CMIP5 GCM Simulation Results Based on Detected Atmospheric Teleconnections
title_full Evaluation of Historical CMIP5 GCM Simulation Results Based on Detected Atmospheric Teleconnections
title_fullStr Evaluation of Historical CMIP5 GCM Simulation Results Based on Detected Atmospheric Teleconnections
title_full_unstemmed Evaluation of Historical CMIP5 GCM Simulation Results Based on Detected Atmospheric Teleconnections
title_short Evaluation of Historical CMIP5 GCM Simulation Results Based on Detected Atmospheric Teleconnections
title_sort evaluation of historical cmip5 gcm simulation results based on detected atmospheric teleconnections
topic teleconnection patterns
teleconnection method
diversity index
CMIP5
ERA-20C
historical GCM outputs
url https://www.mdpi.com/2073-4433/11/7/723
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AT rolandhollos evaluationofhistoricalcmip5gcmsimulationresultsbasedondetectedatmosphericteleconnections
AT juditbartholy evaluationofhistoricalcmip5gcmsimulationresultsbasedondetectedatmosphericteleconnections
AT ritapongracz evaluationofhistoricalcmip5gcmsimulationresultsbasedondetectedatmosphericteleconnections