Published April 12, 2024
| Version v1.0
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Code for ML reconstruction of surface ocean pCO2 using the Large Ensemble Testbed
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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.
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hatlenheimdalthea/Sampling_experiments_LET_USV-v1.0.zip
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(8.7 MB)
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- Is supplement to
- Software: https://github.com/hatlenheimdalthea/Sampling_experiments_LET_USV/tree/v1.0 (URL)