Published April 12, 2024 | Version v1.0
Software Open

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

Creators

  • 1. ROR icon Lamont-Doherty Earth Observatory
  • 2. ROR icon Columbia University
  • 3. Columbia University and Lamont-Doherty Earth Observatory
  • 4. ROR icon Pacific Marine Environmental Laboratory
  • 5. ROR icon National Oceanic and Atmospheric Administration
  • 6. ROR icon Yale University

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. 

Files

hatlenheimdalthea/Sampling_experiments_LET_USV-v1.0.zip

Files (8.7 MB)

Additional details

Related works

Is supplement to
Software: https://github.com/hatlenheimdalthea/Sampling_experiments_LET_USV/tree/v1.0 (URL)