Detection of Rossby waves in multi-parameters in multi-mission satellite observations and HYCOM simulations in the Indian Ocean
Subrahmanyam, Bulusu; Heffner, David M.; Cromwell, David; Shriver, Jay F.. 2009 Detection of Rossby waves in multi-parameters in multi-mission satellite observations and HYCOM simulations in the Indian Ocean. Remote Sensing of Environment, 113 (6). 1293-1303. 10.1016/j.rse.2009.02.017
Full text not available from this repository.Abstract/Summary
Rossby waves are difficult to detect with in situ methods. However, as we show in this paper, they can be clearly identified in multi-parameters in multi-mission satellite observations of sea surface height (SSH), sea surface temperature (SST) and ocean color observations of chlorophyll-a (chl-a), as well as 1/12° global HYbrid Coordinate Ocean Model (HYCOM) simulations of SSH, SST and sea surface salinity (SSS) in the Indian Ocean. While the surface structure of Rossby waves can be elucidated from comparisons of the signal in different sea surface parameters, models are needed to gain direct information about how these waves affect the ocean at depth. The first three baroclinic modes of the Rossby waves are inferred from the Fast Fourier Transform (FFT), and two-dimensional Radon Transform (2D RT). At many latitudes the first and second baroclinic mode Rossby wave phase speeds from satellite observations and model parameters are identified. Wavelet transforms of these multi-parameters from satellite observations and model simulations help to discriminate between the annual and semi-annual signal of these Rossby waves. This comprehensive study reveals that the surface signature of Rossby waves in SSS anomalies is likely to be between 0.05 and 0.3 psu in the South Indian Ocean.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | 10.1016/j.rse.2009.02.017 |
ISSN: | 0034-4257 |
Additional Keywords: | Rossby waves; Indian Ocean; HYCOM; Satellite observations; SSH; SST; Ocean color |
Date made live: | 22 Oct 2009 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/169185 |
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