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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| Format: | Dataset |
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Zenodo
2023
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| Online Access: | https://dx.doi.org/10.5281/zenodo.7863452 https://zenodo.org/record/7863452 |
| id |
ftdatacite:10.5281/zenodo.7863452 |
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openpolar |
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ftdatacite:10.5281/zenodo.7863452 2023-06-11T04:09:05+02:00 Code and Data to support "Atmospheric circulation-constrained model sensitivity recalibrates Arctic climate projections" ... Topál, Dániel 2023 https://dx.doi.org/10.5281/zenodo.7863452 https://zenodo.org/record/7863452 unknown Zenodo https://dx.doi.org/10.5281/zenodo.7863451 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess Dataset dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.786345210.5281/zenodo.7863451 2023-06-01T12:16:19Z 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 DataCite Metadata Store (German National Library of Science and Technology) Arctic |
| institution |
Open Polar |
| collection |
DataCite Metadata Store (German National Library of Science and Technology) |
| op_collection_id |
ftdatacite |
| 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 |
Topál, Dániel |
| spellingShingle |
Topál, Dániel Code and Data to support "Atmospheric circulation-constrained model sensitivity recalibrates Arctic climate projections" ... |
| author_facet |
Topál, Dániel |
| author_sort |
Topál, Dániel |
| 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" ... |
| publisher |
Zenodo |
| publishDate |
2023 |
| url |
https://dx.doi.org/10.5281/zenodo.7863452 https://zenodo.org/record/7863452 |
| geographic |
Arctic |
| geographic_facet |
Arctic |
| genre |
Arctic Sea ice |
| genre_facet |
Arctic Sea ice |
| op_relation |
https://dx.doi.org/10.5281/zenodo.7863451 |
| op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
| op_doi |
https://doi.org/10.5281/zenodo.786345210.5281/zenodo.7863451 |
| _version_ |
1768382805932244992 |