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Improving Coastal Circulation Using HF-Radar Surface Currents
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DOI：10.1029/2025EA004209.png)
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摘要
En 中文
In an attempt to improve the model-derived coastal circulation around India, we explore three different frameworks to assimilate surface currents from HF-Radars into an ocean model for the Indian Ocean. The first approach involves correcting the winds through Ekman Theory using the discrepancy between the model surface currents and the HF-Radar observations. The second approach entails direct assimilation of the HF-Radar surface currents into the ocean model. The third approach combines the first two frameworks. We show that all three approaches improve coastal circulation but in varying degrees. The improvements in analysis are least in the wind-correction approach and most prominent in the combined approach. We show that the combined approach of wind correction and assimilation of HF-Radar currents significantly improves the coastal circulation around India with root-mean-squared error at par with the precision of the HF-Radar measurements. This approach yields a correlation of similar to 0.8-0.9 between the surface current analysis and the observation. We also show that this approach improves the subsurface currents. The surface current forecasts from the combined approach with a lead time of a day outperforms the free model run by a large margin thereby proving its mettle for operational adoption.
Keyword:
HF-radar
LETKF
ROMS
Indian Ocean
surface currents
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论文数:
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引用论文
Ensemble based regional ocean data assimilation system for the Indian Ocean: Implementation and evaluation基于集合的印度洋区域海洋数据同化系统: 实施和评估.png)
OCEAN MODELLING
OCEAN MODELLINGIF2.9
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