cmip_evaluation

Climate change is expected to affect the frequency of regional atmospheric circulation patterns and, consequently, it will result in changes in meteorological and oceanographic conditions. Here, we present a dataset that consists of the frequency of the main atmospheric patterns (weather types) over...

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Main Authors: Luana Borato (11160873), Antonio Fernando Harter Fetter Filho (11828077), Paula Gomes da Silva (10477242), Fernando Javier Mendez Incera (11828081), Antonio Henrique da Fontoura Klein (4647631)
Format: Text
Language:unknown
Published: 2021
Subjects:
Online Access:https://doi.org/10.6084/m9.figshare.17169116.v1
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spelling ftsmithonian:oai:figshare.com:article/17169116 2023-05-15T18:21:04+02:00 cmip_evaluation Luana Borato (11160873) Antonio Fernando Harter Fetter Filho (11828077) Paula Gomes da Silva (10477242) Fernando Javier Mendez Incera (11828081) Antonio Henrique da Fontoura Klein (4647631) 2021-12-12T23:55:21Z https://doi.org/10.6084/m9.figshare.17169116.v1 unknown https://figshare.com/articles/online_resource/cmip_evaluation/17169116 doi:10.6084/m9.figshare.17169116.v1 CC BY 4.0 CC-BY Atmospheric Sciences Climate Change Processes Meteorology Weather type Global Climate Models South Atlantic Climate change Text Online resource 2021 ftsmithonian https://doi.org/10.6084/m9.figshare.17169116.v1 2021-12-19T19:39:07Z Climate change is expected to affect the frequency of regional atmospheric circulation patterns and, consequently, it will result in changes in meteorological and oceanographic conditions. Here, we present a dataset that consists of the frequency of the main atmospheric patterns (weather types) over the South Atlantic Ocean in the past and future. We used a reanalysis hindcast to identify 25 weather types representing the typical synoptic conditions in the region over the past 32 years. We verified the performance of the CMIP5 and CMIP6 projections on describing the frequency of these main weather types over the South Atlantic and assessed the potential changes in these frequencies in the future. The scenarios project variations of up to 3% in the frequency of some weather types over the 21st century. The data set and the performance analysis presented here can be used to support future statistical analysis, such as statistical downscaling experiments of oceanographic variables and studies on climate variations in the South Atlantic. Text South Atlantic Ocean Unknown
institution Open Polar
collection Unknown
op_collection_id ftsmithonian
language unknown
topic Atmospheric Sciences
Climate Change Processes
Meteorology
Weather type
Global Climate Models
South Atlantic
Climate change
spellingShingle Atmospheric Sciences
Climate Change Processes
Meteorology
Weather type
Global Climate Models
South Atlantic
Climate change
Luana Borato (11160873)
Antonio Fernando Harter Fetter Filho (11828077)
Paula Gomes da Silva (10477242)
Fernando Javier Mendez Incera (11828081)
Antonio Henrique da Fontoura Klein (4647631)
cmip_evaluation
topic_facet Atmospheric Sciences
Climate Change Processes
Meteorology
Weather type
Global Climate Models
South Atlantic
Climate change
description Climate change is expected to affect the frequency of regional atmospheric circulation patterns and, consequently, it will result in changes in meteorological and oceanographic conditions. Here, we present a dataset that consists of the frequency of the main atmospheric patterns (weather types) over the South Atlantic Ocean in the past and future. We used a reanalysis hindcast to identify 25 weather types representing the typical synoptic conditions in the region over the past 32 years. We verified the performance of the CMIP5 and CMIP6 projections on describing the frequency of these main weather types over the South Atlantic and assessed the potential changes in these frequencies in the future. The scenarios project variations of up to 3% in the frequency of some weather types over the 21st century. The data set and the performance analysis presented here can be used to support future statistical analysis, such as statistical downscaling experiments of oceanographic variables and studies on climate variations in the South Atlantic.
format Text
author Luana Borato (11160873)
Antonio Fernando Harter Fetter Filho (11828077)
Paula Gomes da Silva (10477242)
Fernando Javier Mendez Incera (11828081)
Antonio Henrique da Fontoura Klein (4647631)
author_facet Luana Borato (11160873)
Antonio Fernando Harter Fetter Filho (11828077)
Paula Gomes da Silva (10477242)
Fernando Javier Mendez Incera (11828081)
Antonio Henrique da Fontoura Klein (4647631)
author_sort Luana Borato (11160873)
title cmip_evaluation
title_short cmip_evaluation
title_full cmip_evaluation
title_fullStr cmip_evaluation
title_full_unstemmed cmip_evaluation
title_sort cmip_evaluation
publishDate 2021
url https://doi.org/10.6084/m9.figshare.17169116.v1
genre South Atlantic Ocean
genre_facet South Atlantic Ocean
op_relation https://figshare.com/articles/online_resource/cmip_evaluation/17169116
doi:10.6084/m9.figshare.17169116.v1
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.17169116.v1
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