Articles | Volume 21, issue 3
Research article
12 Feb 2024
Research article |  | 12 Feb 2024

Underestimation of multi-decadal global O2 loss due to an optimal interpolation method

Takamitsu Ito, Hernan E. Garcia, Zhankun Wang, Shoshiro Minobe, Matthew C. Long, Just Cebrian, James Reagan, Tim Boyer, Christopher Paver, Courtney Bouchard, Yohei Takano, Seth Bushinsky, Ahron Cervania, and Curtis A. Deutsch

Data sets

Optimally interpolated dissolved oxygen based on the World Ocean Database 2018 and CMIP6 models T. Ito

Model code and software

CMIP6 model outputs WCRP

Short summary
This study aims to estimate how much oceanic oxygen has been lost and its uncertainties. One major source of uncertainty comes from the statistical gap-filling methods. Outputs from Earth system models are used to generate synthetic observations where oxygen data are extracted from the model output at the location and time of historical oceanographic cruises. Reconstructed oxygen trend is approximately two-thirds of the true trend.
Final-revised paper