Subrahmanyam, B., Manghanai, V., O'Brien, J. J., Morrison, J. M., & Xie, L. (2001). A study of the Indian Ocean Dipole Mode Dynamics using satellite observations and MICOM simulations.. San Diego, California, USA.
Subrahmanyam, B., Murty, V. S. N., & O'Brien, J. J. (2005). New Sea Surface Salinity Product in the Tropical Indian Ocean . CAS/JSC Working Group on Numerical Experimentation.
Subrahmanyam, B., Rao, K. H., Srinivasa Rao, N., Murty, V. S. N., & Sharp, R. J. (2002). Influence of a tropical cyclone on Chlorophyll-a Concentration in the Arabian Sea. Geophys. Res. Lett. , 29 (22), 22–1-22–4.
Subrahmanyam, B., J.J. O'Brien, V. Manghanani, L. Xie, and J.M. Morrison. (2003). Estimation of Heat Transports in the Indian Ocean uisng Altimetry and MICOMi. In WMO WORLD Climate Research Programme, CAS/JSC Working Group on Numerical Experimentation, Research Activities in Atmospheric and Oceanic Modelling .
Subrahmanyam, S., & Robinson, S. (2000). Sea Surface Height Variability in the Indian Ocean from TOPEX/POSEIDON Altimetry and Model Simulations. Marine Geodesy , 23 (3), 167–195.
Sun, J., & Wu, Z. (2019). Isolating spatiotemporally local mixed Rossby-gravity waves using multi-dimensional ensemble empirical mode decomposition. Clim Dyn , (3-4), 1383–1405.
Abstract: Tropical waves have relatively large amplitudes in and near convective systems, attenuating as they propagate away from the area where they are generated due to the dissipative nature of the atmosphere. Traditionally, nonlocal analysis methods, such as those based on the Fourier transform, are applied to identify tropical waves. However, these methods have the potential to lead to the misidentification of local wavenumbers and spatial locations of local wave activities. To address this problem, we propose a new method for analyzing tropical waves, with particular focus placed on equatorial mixed Rossby-gravity (MRG) waves. The new tropical wave analysis method is based on the multi-dimensional ensemble empirical mode decomposition and a novel spectral representation based on spatiotemporally local wavenumber, frequency, and amplitude of waves. We first apply this new method to synthetic data to demonstrate the advantages of the method in revealing characteristics of MRG waves. We further apply the method to reanalysis data (1) to identify and isolate the spatiotemporally heterogeneous MRG waves event by event, and (2) to quantify the spatial inhomogeneity of these waves in a wavenumber-frequency-energy diagram. In this way, we reveal the climatology of spatiotemporal inhomogeneity of MRG waves and summarize it in wavenumber-frequency domain: The Indian Ocean is dominated by MRG waves in the period range of 8–12 days; the western Pacific Ocean consists of almost equal energy distribution of MRG waves in the period ranges of 3–6 and 8–12 days, respectively; and the eastern tropical Pacific Ocean and the tropical Atlantic Ocean are dominated by MRG waves in the period range of 3–6 days. The zonal wavenumbers mostly fall within the band of 4–15, with Indian Ocean has larger portion of higher wavenumber (smaller wavelength components) MRG waves.
Tartaglione, C. S., Hanley, D. E., O'Brien, J. J., & Smith, S. R. (2002). Regional Effects of ENSO on U.S Hurricane Landfalls . COAPS Technical Report 02-5. Tallahassee, FL: Center for Ocean-Atmospheric Prediction Studies, Florida State University.
Tilburg, C. E., Hurlburt, H. E., & O'Brien, J. J. (1999). The role of New Zealand in the separation of the East Australian Current (Vol. 28). CAS/JSC Working Group on the Numerical Experimentation, Research Activities in Atmospheric and Oceanic Modelling Number.
Timko, P. G., Arbic, B. K., Hyder, P., Richman, J. G., Zamudio, L., O'Dea, E., et al. (2019). Assessment of shelf sea tides and tidal mixing fronts in a global ocean model. Ocean Modelling , 136 , 66–84.
Abstract: Tidal mixing fronts, which represent boundaries between stratified and tidally mixed waters, are locations of enhanced biological activity. They occur in summer shelf seas when, in the presence of strong tidal currents, mixing due to bottom friction balances buoyancy production due to seasonal heat flux. In this paper we examine the occurrence and fidelity of tidal mixing fronts in shelf seas generated within a global 3-dimensional simulation of the HYbrid Coordinate Ocean Model (HYCOM) that is simultaneously forced by atmospheric fields and the astronomical tidal potential. We perform a first order assessment of shelf sea tides in global HYCOM through comparison of sea surface temperature, sea surface tidal elevations, and tidal currents with observations. HYCOM was tuned to minimize errors in M2 sea surface heights in deep water. Over the global coastal and shelf seas (depths <200 m) the area-weighted root mean square error of the M2 sea surface amplitude in HYCOM represents 35% of the 50 cm root mean squared M2 sea surface amplitude when compared to satellite constrained models TPXO8 and FES2014. HYCOM and the altimeter constrained tidal models TPXO8 and FES2014 exhibit similar skill in reproducing barotropic tidal currents estimated from in-situ current meter observations. Through comparison of a global HYCOM simulation with tidal forcing to a global HYCOM simulation with no tides, and also to previous regional studies of tidal mixing fronts in shelf seas, we demonstrate that HYCOM with embedded tides exhibits quite high skill in reproducing known tidal mixing fronts in shelf seas. Our results indicate that the amount of variability in the location of the tidal mixing fronts in HYCOM, estimated using the Simpson-Hunter parameter, is consistent with previous studies when the differences in the net downward heat flux, on a global scale, are taken into account. We also provide evidence of tidal mixing fronts on the North West Australian Shelf for which we have been unable to find references in the existing scientific literature.
Tiscareno-Lopez, M., N. J. Rosenberg, D. M. Legler, A. R. Corral, R. Shrinivasan, R. A. Brown, G. G. Medina, M. A. V. Valle, and R. C. Izaurralde. (1998). Algunos efectos del fenomeno climatico El Nino en la agricultura Mexicana. Ciencia y Desarrollo , 24 , 4–14.
