Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach (control run daily dataset) ...
30-year Control run with MPI-ESM1.2 coupled atmosphere-ocean–land surface model with preindustrial boundary and initial condition (for more information see the paper) ...
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| Format: | Dataset |
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Zenodo
2023
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5281/zenodo.10245983 https://zenodo.org/doi/10.5281/zenodo.10245983 |
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ftdatacite:10.5281/zenodo.10245983 |
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openpolar |
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ftdatacite:10.5281/zenodo.10245983 2024-02-04T09:57:33+01:00 Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach (control run daily dataset) ... Mehrdad, Sina DIPU, SUDHAKAR 2023 https://dx.doi.org/10.5281/zenodo.10245983 https://zenodo.org/doi/10.5281/zenodo.10245983 unknown Zenodo https://dx.doi.org/10.5281/zenodo.10245984 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Dataset dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.1024598310.5281/zenodo.10245984 2024-01-05T01:03:49Z 30-year Control run with MPI-ESM1.2 coupled atmosphere-ocean–land surface model with preindustrial boundary and initial condition (for more information see the paper) ... Dataset Arctic 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 |
30-year Control run with MPI-ESM1.2 coupled atmosphere-ocean–land surface model with preindustrial boundary and initial condition (for more information see the paper) ... |
| format |
Dataset |
| author |
Mehrdad, Sina DIPU, SUDHAKAR |
| spellingShingle |
Mehrdad, Sina DIPU, SUDHAKAR Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach (control run daily dataset) ... |
| author_facet |
Mehrdad, Sina DIPU, SUDHAKAR |
| author_sort |
Mehrdad, Sina |
| title |
Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach (control run daily dataset) ... |
| title_short |
Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach (control run daily dataset) ... |
| title_full |
Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach (control run daily dataset) ... |
| title_fullStr |
Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach (control run daily dataset) ... |
| title_full_unstemmed |
Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach (control run daily dataset) ... |
| title_sort |
arctic climate response to european radiative forcing: a deep learning approach (control run daily dataset) ... |
| publisher |
Zenodo |
| publishDate |
2023 |
| url |
https://dx.doi.org/10.5281/zenodo.10245983 https://zenodo.org/doi/10.5281/zenodo.10245983 |
| geographic |
Arctic |
| geographic_facet |
Arctic |
| genre |
Arctic |
| genre_facet |
Arctic |
| op_relation |
https://dx.doi.org/10.5281/zenodo.10245984 |
| op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
| op_doi |
https://doi.org/10.5281/zenodo.1024598310.5281/zenodo.10245984 |
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1789961876692533248 |