Wind sector analysis of CH4 observations at Barrow, Alaska ...
This repository contains a dataset and Python notebook for the wind sector analysis carried out in the publication "Ward et al., 2024 - Increasing methane emissions and widespread cold-season release from high-Arctic regions detected through atmospheric measurements" in review with JGR:Atm...
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Online Access: | https://dx.doi.org/10.5281/zenodo.10814752 https://zenodo.org/doi/10.5281/zenodo.10814752 |
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ftdatacite:10.5281/zenodo.10814752 2024-04-28T08:08:46+00:00 Wind sector analysis of CH4 observations at Barrow, Alaska ... Ward, Rebecca 2024 https://dx.doi.org/10.5281/zenodo.10814752 https://zenodo.org/doi/10.5281/zenodo.10814752 unknown Zenodo https://dx.doi.org/10.5281/zenodo.10814751 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 ComputationalNotebook article SoftwareSourceCode 2024 ftdatacite https://doi.org/10.5281/zenodo.1081475210.5281/zenodo.10814751 2024-04-02T11:35:43Z This repository contains a dataset and Python notebook for the wind sector analysis carried out in the publication "Ward et al., 2024 - Increasing methane emissions and widespread cold-season release from high-Arctic regions detected through atmospheric measurements" in review with JGR:Atmospheres. To run the code: Download wind_sector_analysis.ipynb and wind_sector_analysis.nc. Ensure you have the following modules installed - numpy xarray pandas matplotlib scipy sklearn Set the user defined data path. ... Article in Journal/Newspaper Arctic Barrow Alaska DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
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description |
This repository contains a dataset and Python notebook for the wind sector analysis carried out in the publication "Ward et al., 2024 - Increasing methane emissions and widespread cold-season release from high-Arctic regions detected through atmospheric measurements" in review with JGR:Atmospheres. To run the code: Download wind_sector_analysis.ipynb and wind_sector_analysis.nc. Ensure you have the following modules installed - numpy xarray pandas matplotlib scipy sklearn Set the user defined data path. ... |
format |
Article in Journal/Newspaper |
author |
Ward, Rebecca |
spellingShingle |
Ward, Rebecca Wind sector analysis of CH4 observations at Barrow, Alaska ... |
author_facet |
Ward, Rebecca |
author_sort |
Ward, Rebecca |
title |
Wind sector analysis of CH4 observations at Barrow, Alaska ... |
title_short |
Wind sector analysis of CH4 observations at Barrow, Alaska ... |
title_full |
Wind sector analysis of CH4 observations at Barrow, Alaska ... |
title_fullStr |
Wind sector analysis of CH4 observations at Barrow, Alaska ... |
title_full_unstemmed |
Wind sector analysis of CH4 observations at Barrow, Alaska ... |
title_sort |
wind sector analysis of ch4 observations at barrow, alaska ... |
publisher |
Zenodo |
publishDate |
2024 |
url |
https://dx.doi.org/10.5281/zenodo.10814752 https://zenodo.org/doi/10.5281/zenodo.10814752 |
genre |
Arctic Barrow Alaska |
genre_facet |
Arctic Barrow Alaska |
op_relation |
https://dx.doi.org/10.5281/zenodo.10814751 |
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.1081475210.5281/zenodo.10814751 |
_version_ |
1797577404688891904 |