Code for ML reconstruction of surface ocean pCO2 using the Large Ensemble Testbed ...

This repository contains code used for the study "Assessing improvements in global ocean pCO2 machine learning reconstructions with Southern Ocean autonomous sampling" (Heimdal et al., 2023, https://doi.org/10.5194/bg-2023-160). In this paper, we reconstruct surface ocean pCO2 using the La...

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Main Authors: Heimdal, Thea H., McKinley, Galen, Sutton, Adrienne, Fay, Amanda, Gloege, Lucas, BENNINGTON, VAL
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2024
Subjects:
Heimdal
Southern Ocean
Online Access:https://dx.doi.org/10.5281/zenodo.10966977
https://zenodo.org/doi/10.5281/zenodo.10966977
id ftdatacite:10.5281/zenodo.10966977
record_format openpolar
spelling ftdatacite:10.5281/zenodo.10966977 2024-06-09T07:49:41+00:00 Code for ML reconstruction of surface ocean pCO2 using the Large Ensemble Testbed ... Heimdal, Thea H. McKinley, Galen Sutton, Adrienne Fay, Amanda Gloege, Lucas BENNINGTON, VAL 2024 https://dx.doi.org/10.5281/zenodo.10966977 https://zenodo.org/doi/10.5281/zenodo.10966977 unknown Zenodo https://github.com/hatlenheimdalthea/Sampling_experiments_LET_USV/tree/v1.0 https://github.com/hatlenheimdalthea/Sampling_experiments_LET_USV/tree/v1.0 https://dx.doi.org/10.5281/zenodo.10966976 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Software article SoftwareSourceCode 2024 ftdatacite https://doi.org/10.5281/zenodo.1096697710.5281/zenodo.10966976 2024-05-13T12:03:39Z This repository contains code used for the study "Assessing improvements in global ocean pCO2 machine learning reconstructions with Southern Ocean autonomous sampling" (Heimdal et al., 2023, https://doi.org/10.5194/bg-2023-160). In this paper, we reconstruct surface ocean pCO2 using the Large Ensemble Testbed (Gloege et al., 2021) and the pCO2-Residual method (Bennington et al. (2022), and test the effect of additional sampling in the Southern Ocean. ... Article in Journal/Newspaper Southern Ocean DataCite Metadata Store (German National Library of Science and Technology) Heimdal ENVELOPE(12.000,12.000,65.681,65.681) Southern Ocean
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description This repository contains code used for the study "Assessing improvements in global ocean pCO2 machine learning reconstructions with Southern Ocean autonomous sampling" (Heimdal et al., 2023, https://doi.org/10.5194/bg-2023-160). In this paper, we reconstruct surface ocean pCO2 using the Large Ensemble Testbed (Gloege et al., 2021) and the pCO2-Residual method (Bennington et al. (2022), and test the effect of additional sampling in the Southern Ocean. ...
format Article in Journal/Newspaper
author Heimdal, Thea H.
McKinley, Galen
Sutton, Adrienne
Fay, Amanda
Gloege, Lucas
BENNINGTON, VAL
spellingShingle Heimdal, Thea H.
McKinley, Galen
Sutton, Adrienne
Fay, Amanda
Gloege, Lucas
BENNINGTON, VAL
Code for ML reconstruction of surface ocean pCO2 using the Large Ensemble Testbed ...
author_facet Heimdal, Thea H.
McKinley, Galen
Sutton, Adrienne
Fay, Amanda
Gloege, Lucas
BENNINGTON, VAL
author_sort Heimdal, Thea H.
title Code for ML reconstruction of surface ocean pCO2 using the Large Ensemble Testbed ...
title_short Code for ML reconstruction of surface ocean pCO2 using the Large Ensemble Testbed ...
title_full Code for ML reconstruction of surface ocean pCO2 using the Large Ensemble Testbed ...
title_fullStr Code for ML reconstruction of surface ocean pCO2 using the Large Ensemble Testbed ...
title_full_unstemmed Code for ML reconstruction of surface ocean pCO2 using the Large Ensemble Testbed ...
title_sort code for ml reconstruction of surface ocean pco2 using the large ensemble testbed ...
publisher Zenodo
publishDate 2024
url https://dx.doi.org/10.5281/zenodo.10966977
https://zenodo.org/doi/10.5281/zenodo.10966977
long_lat ENVELOPE(12.000,12.000,65.681,65.681)
geographic Heimdal
Southern Ocean
geographic_facet Heimdal
Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_relation https://github.com/hatlenheimdalthea/Sampling_experiments_LET_USV/tree/v1.0
https://github.com/hatlenheimdalthea/Sampling_experiments_LET_USV/tree/v1.0
https://dx.doi.org/10.5281/zenodo.10966976
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.1096697710.5281/zenodo.10966976
_version_ 1801382444787564544

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