Jet feature data from PAMIP model simulations

Author: Yvonne Anderson Contact: ee22ya@leeds.ac.uk Dataset created: 21/08/2023 Paper title: Minimal influence of future Arctic sea ice loss on North Atlantic jet stream morphology Dataset information CSV files contain arrays of daily jet feature data for all ensemble member winters for a given mode...

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Main Author: Anderson, Yvonne
Format: Dataset
Language:English
Published: 2023
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Online Access:https://zenodo.org/record/8279707
https://doi.org/10.5281/zenodo.8279707
id ftzenodo:oai:zenodo.org:8279707
record_format openpolar
spelling ftzenodo:oai:zenodo.org:8279707 2023-09-26T15:15:23+02:00 Jet feature data from PAMIP model simulations Anderson, Yvonne 2023-08-24 https://zenodo.org/record/8279707 https://doi.org/10.5281/zenodo.8279707 eng eng doi:10.5281/zenodo.8279706 https://zenodo.org/record/8279707 https://doi.org/10.5281/zenodo.8279707 oai:zenodo.org:8279707 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/other dataset 2023 ftzenodo https://doi.org/10.5281/zenodo.827970710.5281/zenodo.8279706 2023-08-29T22:59:30Z Author: Yvonne Anderson Contact: ee22ya@leeds.ac.uk Dataset created: 21/08/2023 Paper title: Minimal influence of future Arctic sea ice loss on North Atlantic jet stream morphology Dataset information CSV files contain arrays of daily jet feature data for all ensemble member winters for a given model. Dimensions of the arrays are (number of ensemble members, 90 winter days). Filename structure Filenames of CSV files can be interpreted as: timeperiod_jetfeature_model.csv Example filename structure Time period Jet feature Model Example filename Present-day Latitude AWI-CM-1-1-MR present-day_jet_latitude_AWI-CM-1-1-MR.csv Future Speed HadGEM3-GC31-MM future_jet_speed_HadGEM3-GC31-MM.csv Jet feature description Jet feature data are for the largest mass jet region found on each day of winter, where jet mass is the area weighted jet speed. The jet features and corresponding units contained in the csv files are as follows: Jet feature Units Latitude ° Speed ms-1 Mass ms-1 Tilt ° Area m2 Time periods Time periods are present-day and future, which refer to simulations forced by present-day and future sea ice concentrations, from which the jet features have been extracted. Models Models are AWI-CM-1-1-MR, CanESM5, FGOALS-f3-L, HadGEM3-GC31-MM, IPSL-CM6A-LR and MIROC6 from the Polar Amplification Model Intercomparison Project (PAMIP; https://doi.org/10.5194/gmd-12-1139-2019) Spatial and temporal information Arrays contain daily jet feature data that has been constrained to the North Atlantic region (0-60 ° W, 15-75 ° N) and to the winter period (December, January and February) Prior processing Original dataset: netcdf files of daily zonal wind data from Polar Amplification Model Intercomparison Project simulations forced by present-day and future sea ice concentrations 850 hPa wind speed data was extracted and regridded to 2.81 ° x 2.81 ° resolution Constrained to North Atlantic region and winter period Wind speed data was filtered using a 10-day Lanczos filter with a 61 day window Jet feature data was extracted for each ... Dataset Arctic North Atlantic Sea ice Zenodo Arctic
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
description Author: Yvonne Anderson Contact: ee22ya@leeds.ac.uk Dataset created: 21/08/2023 Paper title: Minimal influence of future Arctic sea ice loss on North Atlantic jet stream morphology Dataset information CSV files contain arrays of daily jet feature data for all ensemble member winters for a given model. Dimensions of the arrays are (number of ensemble members, 90 winter days). Filename structure Filenames of CSV files can be interpreted as: timeperiod_jetfeature_model.csv Example filename structure Time period Jet feature Model Example filename Present-day Latitude AWI-CM-1-1-MR present-day_jet_latitude_AWI-CM-1-1-MR.csv Future Speed HadGEM3-GC31-MM future_jet_speed_HadGEM3-GC31-MM.csv Jet feature description Jet feature data are for the largest mass jet region found on each day of winter, where jet mass is the area weighted jet speed. The jet features and corresponding units contained in the csv files are as follows: Jet feature Units Latitude ° Speed ms-1 Mass ms-1 Tilt ° Area m2 Time periods Time periods are present-day and future, which refer to simulations forced by present-day and future sea ice concentrations, from which the jet features have been extracted. Models Models are AWI-CM-1-1-MR, CanESM5, FGOALS-f3-L, HadGEM3-GC31-MM, IPSL-CM6A-LR and MIROC6 from the Polar Amplification Model Intercomparison Project (PAMIP; https://doi.org/10.5194/gmd-12-1139-2019) Spatial and temporal information Arrays contain daily jet feature data that has been constrained to the North Atlantic region (0-60 ° W, 15-75 ° N) and to the winter period (December, January and February) Prior processing Original dataset: netcdf files of daily zonal wind data from Polar Amplification Model Intercomparison Project simulations forced by present-day and future sea ice concentrations 850 hPa wind speed data was extracted and regridded to 2.81 ° x 2.81 ° resolution Constrained to North Atlantic region and winter period Wind speed data was filtered using a 10-day Lanczos filter with a 61 day window Jet feature data was extracted for each ...
format Dataset
author Anderson, Yvonne
spellingShingle Anderson, Yvonne
Jet feature data from PAMIP model simulations
author_facet Anderson, Yvonne
author_sort Anderson, Yvonne
title Jet feature data from PAMIP model simulations
title_short Jet feature data from PAMIP model simulations
title_full Jet feature data from PAMIP model simulations
title_fullStr Jet feature data from PAMIP model simulations
title_full_unstemmed Jet feature data from PAMIP model simulations
title_sort jet feature data from pamip model simulations
publishDate 2023
url https://zenodo.org/record/8279707
https://doi.org/10.5281/zenodo.8279707
geographic Arctic
geographic_facet Arctic
genre Arctic
North Atlantic
Sea ice
genre_facet Arctic
North Atlantic
Sea ice
op_relation doi:10.5281/zenodo.8279706
https://zenodo.org/record/8279707
https://doi.org/10.5281/zenodo.8279707
oai:zenodo.org:8279707
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.827970710.5281/zenodo.8279706
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