1. How does tidal bottom drag affect barotropic tide simulation?
Tidal bottom drag (TBD) represents the energy loss from barotropic tides to internal tides over rough topography. A GCM with a horizontal resolution of about 10 km can simulate the conversion of barotropic tides to low-mode internal tides, representing part of the energy loss. However, the energy loss to high-mode internal tides still needs to be parameterized separately. Studies show that the inclusion of TBD in simulations improves the accuracy of simulated tides, with skill E of 93% for a HIM simulation that includes TBD. The impacts of TBD and SAL parameterizations on simulated tides are quantified in subsection 5.3.
read more
2. What is the significance of bottom roughness in tidal bottom drag?
Bottom roughness, represented by h^2, plays a crucial role in tidal bottom drag. It is computed as the topography variance within a 100 km radius around each grid point. The roughness factor influences the energy conversion from barotropic tides to internal tides, as discussed by Jayne and St.Laurent (2001). In the context of tidal bottom drag, bottom roughness affects the energy loss due to the breaking of internal tides, which can be parameterized as an additional bottom drag. This drag is motivated by the scaling relation of the energy conversion from barotropic tides to internal tides. The bottom roughness factor is essential in determining the efficiency of tidal bottom drag and its impact on the overall energy loss in the abyssal oceans. By considering bottom roughness, researchers can better understand the dynamics of tidal bottom drag and its implications for oceanic processes.
read more
3. How does SAL parameterization impact simulated motions in OGCM?
SAL parameterization impacts simulated motions on all time scales in an OGCM. It arises from all barotropic motions, including non-tidal ones, especially those at high-frequencies. The timescale dependence of the effect of SAL can lead to complications when implementing SAL in an OGCM that simulates both non-tidal and tidal flows. Implementing a SAL parameterization into an OGCM does not improve the accuracy of the simulated tides to the same degree as it is the case when implementing the same SAL parameterization into a barotropic tidal model. The scalar approximation of the SAL effect is used, adding an additional SAL potential proportional to tide-induced sea surface height (SSH) e tidal. This approximation filters out the SSH imprint of time-varying baroclinic motions, ensuring that the additional SAL potential does not introduce spurious effects due to the time-mean circulation and non-tidal baroclinic motion in ICON-O.
read more
4. How do parameterizations impact simulated tides in R2B8 configuration?
In the R2B8 configuration, the inclusion of SAL and TBD parameterizations significantly improves the simulated tides. Without SAL and TBD, the skill E is around 60%. When including SAL, the skill increases to about 71%, and with both parameterizations, it further increases to approximately 74%. The improvement is mainly due to the reduction in both amplitude and phase errors, leading to larger values of E P H and E AM. The SAL parameterization has a more prominent impact on E P H compared to E AM. In contrast, the R2B6 configuration shows improvement with the inclusion of TBD parameterization, which reduces the overestimation of tidal signals, resulting in a higher skill E AM. The BCT configuration shows slight improvements with the inclusion of SAL and TBD parameterizations, reducing phase and amplitude errors, respectively, and slightly increasing the skill E P H and E AM.
read more