87th AMS Annual Meeting

Thursday, 18 January 2007: 1:45 PM
Long Baroclinic Rossby Waves Identified in the Tropical North Atlantic from ARGO Profiling Floats Using the Optimal Decomposition Method
212B (Henry B. Gonzalez Convention Center)
Peter C. Chu, NPS, Monterey, CA; and L. M. Ivanov, O. Melnickenko, and N. Wells
ARGO float data (tracks and temperature profiles collected from April 04 through April 05) are used to detect signatures of the long Rossby waves in velocity of the currents at 1000 m depth and temperature between the ocean surface and 950 m in the zonal band of 4N -24N of Tropical North Atlantic. The optimal spectral decomposition (OSD) method is used for analyzing sparse and noisy data. Different types of long Rossby waves (with the characteristic scales between 1000 km and 2500 km) are identified in the western [west of the Mid-Atlantic Ridge (MAR)] and eastern [east of the MAR] sub-basins. Along-shore wind fluctuations and an equatorial-forced coastal Kelvin wave excited the annual and semi-annual propagating Rossby waves in the eastern basin. These waves are transmitted along wave-guide formed by the shallow African shelf and the MAR. The speed of their propagation varies in magnitude and direction due to bottom topography and irregularity of the coastline. Unstable standing Rossby waves with the annual and semiannual periods are shown in both the sub-basins. The decaying waves radiate shorter free Rossby waves propagating westward and northwestward with speeds limited by 10 cm/s. The standing Rossby waves are probably excited by the wind-driven Ekman pumping alone or in combination with linear and nonlinear resonance mechanisms.

References

Chu, P.C., L.M. Ivanov, T.P. Korzhova, T.M. Margolina, and O.M. Melnichenko, 2003: Analysis of sparse and noisy ocean current data using flow decomposition. Part 1: Theory. Journal of Atmospheric and Oceanic Technology, 20 (4), 478-491.

Chu, P.C., L.M. Ivanov, T.P. Korzhova, T.M. Margolina, and O.M. Melnichenko, 2003: Analysis of sparse and noisy ocean current data using flow decomposition. Part 2: Application to Eulerian and Lagrangian data. Journal of Atmospheric and Oceanic Technology, 20 (4), 492-512.

Supplementary URL: