Code and Data to support "Atmospheric circulation-constrained model sensitivity recalibrates Arctic climate projections"

sic.sep.5member.dat contains direct binary data of spatial monthly averaged sea ice concentrations for 1979 January to 2020 December from the CESM2 wind-nudging runs. cism2.exp.smb.01.nc to cism2.exp.smb.05.nc contain netcdf files of annual averaged surface mass balance output from the CESM2-CISM2 w...

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Bibliographic Details
Main Author: Dániel Topál
Format: Dataset
Language:unknown
Published: 2023
Subjects:
Arctic
Sea ice
Online Access:https://zenodo.org/record/7863452
https://doi.org/10.5281/zenodo.7863452
id ftzenodo:oai:zenodo.org:7863452
record_format openpolar
spelling ftzenodo:oai:zenodo.org:7863452 2023-06-11T04:09:05+02:00 Code and Data to support "Atmospheric circulation-constrained model sensitivity recalibrates Arctic climate projections" Dániel Topál 2023-04-25 https://zenodo.org/record/7863452 https://doi.org/10.5281/zenodo.7863452 unknown doi:10.5281/zenodo.7863451 https://zenodo.org/record/7863452 https://doi.org/10.5281/zenodo.7863452 oai:zenodo.org:7863452 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Nature Climate Change https://doi.org/10.1038/s41558-023-01698-1 info:eu-repo/semantics/other dataset 2023 ftzenodo https://doi.org/10.5281/zenodo.786345210.1038/s41558-023-01698-110.5281/zenodo.7863451 2023-05-30T23:01:31Z sic.sep.5member.dat contains direct binary data of spatial monthly averaged sea ice concentrations for 1979 January to 2020 December from the CESM2 wind-nudging runs. cism2.exp.smb.01.nc to cism2.exp.smb.05.nc contain netcdf files of annual averaged surface mass balance output from the CESM2-CISM2 wind-nudging runs between 1979 and 2020. topal&ding_code1.py - data preparation Python code topal&ding_code2.py - creating the main text and supplementary figures. Dataset Arctic Sea ice Zenodo Arctic
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description sic.sep.5member.dat contains direct binary data of spatial monthly averaged sea ice concentrations for 1979 January to 2020 December from the CESM2 wind-nudging runs. cism2.exp.smb.01.nc to cism2.exp.smb.05.nc contain netcdf files of annual averaged surface mass balance output from the CESM2-CISM2 wind-nudging runs between 1979 and 2020. topal&ding_code1.py - data preparation Python code topal&ding_code2.py - creating the main text and supplementary figures.
format Dataset
author Dániel Topál
spellingShingle Dániel Topál
Code and Data to support "Atmospheric circulation-constrained model sensitivity recalibrates Arctic climate projections"
author_facet Dániel Topál
author_sort Dániel Topál
title Code and Data to support "Atmospheric circulation-constrained model sensitivity recalibrates Arctic climate projections"
title_short Code and Data to support "Atmospheric circulation-constrained model sensitivity recalibrates Arctic climate projections"
title_full Code and Data to support "Atmospheric circulation-constrained model sensitivity recalibrates Arctic climate projections"
title_fullStr Code and Data to support "Atmospheric circulation-constrained model sensitivity recalibrates Arctic climate projections"
title_full_unstemmed Code and Data to support "Atmospheric circulation-constrained model sensitivity recalibrates Arctic climate projections"
title_sort code and data to support "atmospheric circulation-constrained model sensitivity recalibrates arctic climate projections"
publishDate 2023
url https://zenodo.org/record/7863452
https://doi.org/10.5281/zenodo.7863452
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_source Nature Climate Change https://doi.org/10.1038/s41558-023-01698-1
op_relation doi:10.5281/zenodo.7863451
https://zenodo.org/record/7863452
https://doi.org/10.5281/zenodo.7863452
oai:zenodo.org:7863452
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.786345210.1038/s41558-023-01698-110.5281/zenodo.7863451
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