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Detection of Rossby waves in multi-parameters in multi-mission satellite observations and HYCOM simulations in the Indian Ocean

Detection of Rossby waves in multi-parameters in multi-mission satellite observations and HYCOM simulations in the Indian Ocean
Detection of Rossby waves in multi-parameters in multi-mission satellite observations and HYCOM simulations in the Indian Ocean
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.
Rossby waves, Indian Ocean, HYCOM, Satellite observations, SSH, SST, Ocean color
0034-4257
1293-1303
Subrahmanyam, Bulusu
ca82a499-6a0e-4db2-b31d-2a4a0c2612f4
Heffner, David M.
b2124eb2-97cb-4d3d-993f-2845af1b7fc8
Cromwell, David
0e781623-7ab3-4ee3-b56f-d493258a697a
Shriver, Jay F.
80106075-e876-4bf4-92cd-a21b41ebb574
Subrahmanyam, Bulusu
ca82a499-6a0e-4db2-b31d-2a4a0c2612f4
Heffner, David M.
b2124eb2-97cb-4d3d-993f-2845af1b7fc8
Cromwell, David
0e781623-7ab3-4ee3-b56f-d493258a697a
Shriver, Jay F.
80106075-e876-4bf4-92cd-a21b41ebb574

Subrahmanyam, Bulusu, Heffner, David M., Cromwell, David and 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. (doi:10.1016/j.rse.2009.02.017).

Record type: Article

Abstract

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.

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More information

Published date: 15 June 2009
Keywords: Rossby waves, Indian Ocean, HYCOM, Satellite observations, SSH, SST, Ocean color

Identifiers

Local EPrints ID: 69185
URI: http://eprints.soton.ac.uk/id/eprint/69185
ISSN: 0034-4257
PURE UUID: 736e4bdc-b754-43a4-9144-e36163c24366

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Date deposited: 22 Oct 2009
Last modified: 13 Mar 2024 19:28

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Contributors

Author: Bulusu Subrahmanyam
Author: David M. Heffner
Author: David Cromwell
Author: Jay F. Shriver

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