Published In
Geophysical Research Letters
Document Type
Article
Publication Date
12-2023
Subjects
Ocean Models (Physical sciences)
Abstract
Ensemble Forecast Sensitivity to Observation (EFSO) is a technique that can efficiently identify the beneficial/detrimental impacts of every observation in ensemble-based data assimilation (DA). While EFSO has been successfully employed on atmospheric DA, it has never been applied to ocean or coupled DA due to the lack of a suitable error norm for oceanic variables. This study introduces a new density-based error norm incorporating sea temperature and salinity forecast errors, making EFSO applicable to ocean DA for the first time. We implemented the oceanic EFSO on the CFSv2-LETKF and investigated the impact of ocean observations under a weakly coupled DA framework. By removing the detrimental ocean observations detected by EFSO, the CFSv2 forecasts were significantly improved, showing the validation of impact estimation and the great potential of EFSO to be extended as a data selection criterion.
Rights
© 2023 The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Locate the Document
DOI
10.1029/2023GL103154
Persistent Identifier
https://archives.pdx.edu/ds/psu/41038
Citation Details
Chang, C.-C., Chen, T.-C., Kalnay, E., Da, C., & Mote, S. (2023). Estimating ocean observation impacts on coupled atmosphere-ocean models using Ensemble Forecast Sensitivity to Observation (EFSO). Geophysical Research Letters, 50, e2023GL103154. https://doi.org/10.1029/2023GL103154