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Merge pull request #212 from alan-turing-institute/add-nb-circ23-team7
Notebook - CIRC23 Variational data assimilation with deep prior
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Submodule 39d9c177-11da-41b2-9b64-63f4c1c834b3
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@@ -10,26 +10,27 @@ | |
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| # metadata | ||
| metadata_contribution = { | ||
| 'environment': 'general', | ||
| 'environment': 'ocean', | ||
| 'topic': 'modelling', | ||
| 'reponame': '93463cac-471a-469d-ad52-0514fd9b67f2', | ||
| 'title': "Deep learning and variational inversion to quantify and attribute climate change (CIRC23)", | ||
| 'inputs': {'input1':{'name':'Input dataset for paper', | ||
| 'url':'https://gitlab.com/ConstantinBone/detection-and-attribution-of-climate-change-a-deep-learning-and-variational-approach/-/raw/main/data_pre_ind_2.zip'}, | ||
| 'reponame': '39d9c177-11da-41b2-9b64-63f4c1c834b3', | ||
| 'title': "Variational data assimilation with deep prior (CIRC23)", | ||
| 'inputs': {'input1':{'name':'Codebase of the reproduced paper', | ||
| 'url':'https://github.com/ArFiloche/Deepprior4DVar_CI22'}, | ||
| }, | ||
| 'outputs': {'content': 'figures, models and results', | ||
| 'url': "https://doi.org/10.5281/zenodo.8279574"}, | ||
| 'url': "https://doi.org/10.5281/zenodo.8338556"}, | ||
| 'author_GHuser': 'eds-book-gallery', | ||
| 'references':{'ref1':{'name':'Detection and attribution of climate change: A deep learning and variational approach','url':"http://doi.org/10.1017/eds.2022.17"}}, | ||
| 'sketch': {'title':'Image showing mean and standard deviation of the simulations of 12 climate models', | ||
| 'path':'_temp/rohub/93463cac-471a-469d-ad52-0514fd9b67f2/plot.png'} | ||
| 'references':{'ref1':{'name':'Deep prior in variational assimilation to estimate an ocean circulation without explicit regularization', | ||
| 'url':"http://doi.org/10.1017/eds.2022.31"}}, | ||
| 'sketch': {'title':'Image showing an example of the estimated motion fields with various algorithms', | ||
| 'path':'_temp/rohub/39d9c177-11da-41b2-9b64-63f4c1c834b3/plot.png'} | ||
| } | ||
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| title_nb = metadata_contribution['title'] | ||
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| metadata_rohub = { | ||
| 'title': f'{title_nb} (Jupyter Notebook) published in the Environmental Data Science book', | ||
| 'research_areas': ['Environmental research', 'Climate science', 'Deep learning'], | ||
| 'research_areas': ['Environmental research', 'Oceanography', 'Deep learning'], | ||
| 'description': f'The research object refers to the {title_nb} notebook published in the Environmental Data Science book.', | ||
| 'ros_type': 'Executable Research Object', | ||
| 'ros_template': 'Executable Research Object folders structure', | ||
|
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@@ -47,46 +48,40 @@ | |
| # edition | ||
| authors=[ | ||
| {"agent_type": "user", | ||
| "display_name": "Viktor Domazetoski", | ||
| "name": "Viktor Domazetoski", | ||
| "orcid_id": "0000-0001-9830-7032", | ||
| "email": "[email protected]", | ||
| "affiliation": "University of Göttingen"}, | ||
| {"agent_type": "user", | ||
| "display_name": "Andrés Zúñiga-González ", | ||
| "name": "Andrés Zúñiga-González ", | ||
| "email": "[email protected]", | ||
| "display_name": "Mukulika Pahari", | ||
| "name": "Mukulika Pahari", | ||
| "email": "[email protected]", | ||
| "orcid_id": None, | ||
| "affiliation": "University of Cambridge"}, | ||
| "affiliation": "University of Mumbai"}, | ||
| {"agent_type": "user", | ||
| "display_name": "Owen Allemang", | ||
| "name": "Owen Allemang", | ||
| "email": "[email protected]", | ||
| "display_name": "Rutika Bhoir", | ||
| "name": "Rutika Bhoir", | ||
| "email": "[email protected]", | ||
| "orcid_id": None, | ||
| "affiliation": "University of Cambridge"} | ||
| "affiliation": "University of Mumbai"}, | ||
| ] | ||
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| ro.set_authors(agents=authors) | ||
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| reviewers=[ | ||
| {"agent_type": "user", | ||
| "display_name": "Meghna Asthana", | ||
| "name": "Meghna Asthana", | ||
| "email": "[email protected]", | ||
| "orcid_id": None, | ||
| "affiliation": "The Alan Turing Institute"}, | ||
| "display_name": "Tina Odaka", | ||
| "name": "Tina Odaka", | ||
| "email": "[email protected]", | ||
| "orcid_id": "0000-0002-1500-0156", | ||
| "affiliation": "Ifremer"}, | ||
| {"agent_type": "user", | ||
| "display_name": "Nick Homer", | ||
| "name": "Nick Homer", | ||
| "email": "[email protected]", | ||
| "orcid_id": None, | ||
| "affiliation": "The University of Edinburgh"}, | ||
| "display_name": "Caroline Arnold", | ||
| "name": "Caroline Arnold", | ||
| "email": "[email protected]", | ||
| "orcid_id": "0000-0002-9458-1517", | ||
| "affiliation": "German Climate Computing Center"}, | ||
| {"agent_type": "user", | ||
| "display_name": "Devanjan Bhattacharya", | ||
| "name": "Devanjan Bhattacharya", | ||
| "email": "[email protected]", | ||
| "display_name": "Paolo Pelucchi", | ||
| "name": "Paolo Pelucchi", | ||
| "email": "[email protected]", | ||
| "orcid_id": None, | ||
| "affiliation": "The University of Edinburgh"}, | ||
| "affiliation": "Universitat de València"}, | ||
| ] | ||
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| ro.set_contributors(agents=reviewers) | ||
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