Savage, A. C., Arbic, B. K., Alford, M. H., Ansong, J. K., Farrar, J. T., Menemenlis, D., et al. (2017). Spectral decomposition of internal gravity wave sea surface height in global models: INTERNAL GRAVITY WAVE SEA SURFACE HEIGHT.
J. Geophys. Res. Oceans, 122(10), 7803–7821.
Abstract: Two global ocean models ranging in horizontal resolution from 1/128 to 1/488 are used to study the space and time scales of sea surface height (SSH) signals associated with internal gravity waves (IGWs). Frequency-horizontal wavenumber SSH spectral densities are computed over seven regions of the world ocean from two simulations of the HYbrid Coordinate Ocean Model (HYCOM) and three simulations of the Massachusetts Institute of Technology general circulation model (MITgcm). High wavenumber, high-frequency SSH variance follows the predicted IGW linear dispersion curves. The realism of high-frequency motions (>0:87 cpd) in the models is tested through comparison of the frequency spectral density of dynamic height variance computed from the highest-resolution runs of each model (1/258 HYCOM and 1/488 MITgcm) with dynamic height variance frequency spectral density computed from nine in situ profiling instruments. These high-frequency motions are of particular interest because of their contributions to the small-scale SSH variability that will be observed on a global scale in the upcoming Surface Water and Ocean Topography (SWOT) satellite altimetry mission. The variance at supertidal frequencies can be comparable to the tidal and low-frequency variance for high wavenumbers (length scales smaller than 50 km), especially in the higher-resolution simulations. In the highest-resolution simulations, the high-frequency variance can be greater than the low-frequency variance at these scales.
Savage, A. C., Arbic, B. K., Richman, J. G., Shriver, J. F., Alford, M. H., Buijsman, M. C., et al. (2017). Frequency content of sea surface height variability from internal gravity waves to mesoscale eddies.
J. Geophys. Res. Oceans, 122(3), 2519–2538.
Selman, C., & Misra, V. (2016). The sensitivity of southeastern United States climate to varying irrigation vigor.
J. Geophys. Res. Atmos., 121(13), 7606–7621.
Selman, C., & Misra, V. (2015). Simulating diurnal variations over the southeastern United States.
J. Geophys. Res. Atmos., 120(1), 180–198.
Shi, W. (2003). Estimation of heat and salt storage variability in the Indian Ocean from TOPEX/Poseidon altimetry.
J. Geophys. Res., 108(C7).
Shin, D. W. (2003). Short- to medium-range superensemble precipitation forecasts using satellite products: 1. Deterministic forecasting.
J. Geophys. Res., 108(D8).
Shin, D. W. (2003). Short- to medium-range superensemble precipitation forecasts using satellite products: 2. Probabilistic forecasting.
J. Geophys. Res., 108(D8).
Shin, D. W., Baigorria, G. A., Romero, C. C., Cocke, S., Oh, J. - H., & Kim, B. - M. (2017). Assessing crop yield simulations driven by the NARCCAP regional climate models in the southeast United States.
J. Geophys. Res. Atmos., 122(5), 2549–2558.
Shin, D. W., & Cocke, S. (2013). Alternative ways to evaluate a seasonal dynamical downscaling system.
J. Geophys. Res. Atmos., 118(24), 13,443–13,448.
Shin, D. W., Cocke, S., & LaRow, T. E. (2007). Diurnal cycle of precipitation in a climate model.
J. Geophys. Res., 112(D13).