Affiliation:
1. School of Biological and Marine Sciences, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK
2. School of Ocean Sciences, Bangor University, Bangor LL57 2DG, UK
Abstract
This paper examines the efficiency of a recently developed Nesting with Data Assimilation (NDA) method at mitigating errors in heat and momentum fluxes at the ocean surface coming from external forcing. The analysis uses a set of 19 numerical simulations, all using the same ocean model and exactly the same NDA process. One simulation (the reference) uses the original atmospheric data, and the other eighteen simulations are performed with intentionally introduced perturbations in the atmospheric forcing. The NDA algorithm uses model-to-model data assimilation instead of assimilating observations directly. Therefore, it requires a good quality, although a coarser resolution data assimilating parent model. All experiments are carried out in the South East Arabian Sea. The variables under study are sea surface temperature, kinetic energy, relative vorticity and enstrophy. The results show significant improvement in bias, root-mean-square-error, and correlation coefficients between the reference and the perturbed models when they are run in the data assimilating configurations. Residual post-assimilation uncertainties are similar or lower than uncertainties of satellite based observations. Different length of DA cycle within a range from 1 to 8 days has little effect on the accuracy of results.
Subject
Ocean Engineering,Water Science and Technology,Civil and Structural Engineering
Reference33 articles.
1. The impact of a new high-resolution ocean model on the Met Office North-West European Shelf forecasting system;Tonani;Ocean Sci.,2019
2. Zhang, X., Liang, S., Wang, G., Yao, Y., Jiang, B., and Cheng, J. (2016). Evaluation of the Reanalysis Surface Incident Shortwave Radiation Products from NCEP, ECMWF, GSFC, and JMA Using Satellite and Surface Observations. Remote Sens., 8.
3. Evaluating solar radiation forecast uncertainty;Tuononen;Atmos. Chem. Phys.,2019
4. Dussin, R., Barnier, B., Brodeau, L., and Molines, J.M. (2022, October 15). Drakkar Forcing Set DFS5. DRAKKAR /MyOcean Report 05-10-14. Available online: https://www.drakkar-ocean.eu/publications/reports/report_DFS5v3_April2016.pdf.
5. Analysing the uncertainties of reanalysis data used for wind resource assessment: A critical review;Gualtieri;Renew. Sustain. Energy Rev.,2022
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