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: Borato, Luana, Fetter Filho, Antonio Fernando Harter, Silva, Paula Gomes da, Mendez Incera, Fernando Javier, Klein, Antonio Henrique da Fontoura
Format: Other/Unknown Material
Language:unknown
Published: figshare 2021
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.17169116
https://figshare.com/articles/online_resource/cmip_evaluation/17169116
id ftdatacite:10.6084/m9.figshare.17169116
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spelling ftdatacite:10.6084/m9.figshare.17169116 2023-05-15T18:21:05+02:00 cmip_evaluation Borato, Luana Fetter Filho, Antonio Fernando Harter Silva, Paula Gomes da Mendez Incera, Fernando Javier Klein, Antonio Henrique da Fontoura 2021 https://dx.doi.org/10.6084/m9.figshare.17169116 https://figshare.com/articles/online_resource/cmip_evaluation/17169116 unknown figshare Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Atmospheric Sciences FOS Earth and related environmental sciences 40104 Climate Change Processes 40107 Meteorology CreativeWork Online resource article Other 2021 ftdatacite https://doi.org/10.6084/m9.figshare.17169116 2022-02-08T16:29:46Z 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. Other/Unknown Material South Atlantic Ocean DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Atmospheric Sciences
FOS Earth and related environmental sciences
40104 Climate Change Processes
40107 Meteorology
spellingShingle Atmospheric Sciences
FOS Earth and related environmental sciences
40104 Climate Change Processes
40107 Meteorology
Borato, Luana
Fetter Filho, Antonio Fernando Harter
Silva, Paula Gomes da
Mendez Incera, Fernando Javier
Klein, Antonio Henrique da Fontoura
cmip_evaluation
topic_facet Atmospheric Sciences
FOS Earth and related environmental sciences
40104 Climate Change Processes
40107 Meteorology
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 Other/Unknown Material
author Borato, Luana
Fetter Filho, Antonio Fernando Harter
Silva, Paula Gomes da
Mendez Incera, Fernando Javier
Klein, Antonio Henrique da Fontoura
author_facet Borato, Luana
Fetter Filho, Antonio Fernando Harter
Silva, Paula Gomes da
Mendez Incera, Fernando Javier
Klein, Antonio Henrique da Fontoura
author_sort Borato, Luana
title cmip_evaluation
title_short cmip_evaluation
title_full cmip_evaluation
title_fullStr cmip_evaluation
title_full_unstemmed cmip_evaluation
title_sort cmip_evaluation
publisher figshare
publishDate 2021
url https://dx.doi.org/10.6084/m9.figshare.17169116
https://figshare.com/articles/online_resource/cmip_evaluation/17169116
genre South Atlantic Ocean
genre_facet South Atlantic Ocean
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.17169116
_version_ 1766200148663205888