Articles | Volume 18, issue 3
https://doi.org/10.5194/os-18-729-2022
https://doi.org/10.5194/os-18-729-2022
Research article
 | 
30 May 2022
Research article |  | 30 May 2022

Tracer and observationally derived constraints on diapycnal diffusivities in an ocean state estimate

David S. Trossman, Caitlin B. Whalen, Thomas W. N. Haine, Amy F. Waterhouse, An T. Nguyen, Arash Bigdeli, Matthew Mazloff, and Patrick Heimbach

Data sets

Tracer and Observationally-Derived Constraints on Diapycnal Diffusivities in an Ocean State Estimate D. S. Trossman, C. Whalen, T. W. N. Haine, A. F. Waterhouse, A. Bigdeli, A. T. Nguyen, M. Mazloff, and P. Heimbach https://doi.org/10.5281/zenodo.6576835

Download
Short summary
How the ocean mixes is not yet adequately represented by models. There are many challenges with representing this mixing. A model that minimizes disagreements between observations and the model could be used to fill in the gaps from observations to better represent ocean mixing. But observations of ocean mixing have large uncertainties. Here, we show that ocean oxygen, which has relatively small uncertainties, and observations of ocean mixing provide information similar to the model.