Accessibility navigation


Improved high resolution ocean reanalyses using a simple smoother algorithm

Dong, B., Haines, K. ORCID: https://orcid.org/0000-0003-2768-2374 and Martin, M. (2021) Improved high resolution ocean reanalyses using a simple smoother algorithm. Journal of Advances in Modeling Earth Systems, 13 (12). e2021MS002626. ISSN 1942-2466

[img]
Preview
Text (Open Access) - Published Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.

2MB
[img] Text - Accepted Version
· Restricted to Repository staff only
· The Copyright of this document has not been checked yet. This may affect its availability.

1MB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1029/2021MS002626

Abstract/Summary

We present a simple smoother designed for smooth data adjustments in sequentially generated reanalysis products by utilizing knowledge of future assimilation increments. A decay time parameter is applied to the smoother increments to account for memory decay timescales in the ocean. The result is different from simply time smoothing the reanalysis itself as only the increments are smoothed so the reanalysis product can retain high frequency variability that is being internally generated by the model and the atmospheric forcing. The smoother is applied first to the Lorenz 1963 model and then to the daily Met Office GloSea5 Global ¼° ocean reanalysis during 2016. Results show significant improvement over the original reanalysis in the 3D temperature and salinity state and variability, as well as in the sea surface height (SSH). Comparisons are made directly against temperature, salinity and SSH observations, as well as independent 15m drifter velocities. The impact on the time variability of conservative quantities, particularly ocean heat and salt content, as well as Kinetic energy and the Atlantic overturning, is also demonstrated.

Item Type:Article
Refereed:Yes
Divisions:Science > School of Mathematical, Physical and Computational Sciences > National Centre for Earth Observation (NCEO)
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:100805
Publisher:American Geophysical Union

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation