This dataset contains data from

Shimizu, K. (2025) Process-based modelling of nonharmonic internal tides using adjoint, statistical, and stochastic approaches - Part 2: Adjoint frequency response analysis, stochastic models, and synthesis. Ocean Science, 21: 2255-2282, https://doi.org/10.5194/os-21-2255-2025

Only selected model outputs are archived to reduce the total file size to a reasonable level.

Its contents are briefly described below.

<grid_verticalModes.nc>
This netcdf file contains model grid and 2D varaibles related to vertical modes (VMs). Note that the grid system is rotated spherical coordinates with radius of Earth being 6370 km (default value used in MITgcm). Note also that the coordinates are stored in this file, but not other gridded files to reduce file size.

<verticalModes_PIL200.nc>
This netcdf file contains vertical modes at PIL200 location on the Australian North West Shelf as an example. Note that the file for 3D vertical modal structure is large, and does not appear to be worth archiving.

<rayTracingStochasticModels.nc>
This netcdf file contains gridded (interpolated) results of ray tracing and stochastic models.

<forcingFunction.nc and adjointFrequencyResponseFunction.nc>
These netcdf files contain complex-valued forcing function and adjoint frequency response function for VM1 to VM4 and M2, S2, K2, and N2 tidal constituents. Source function is not provided, but it can be calculated easily by multiplying the forcing function and the complex conjugate of the adjoint frequency response function for the same vertical mode and tidal constituent, and then multiplying the result by 2 (for conversion from two-sided to one-sided spectrum).

<nonharmonicVarSourceFunction.nc>
This netcdf file contains nonharmonic variance source function, separately for VM1 to VM4 and M2, S2, K2, and N2 constituents. The total is given by the sum of the 16 components.

<parameterDependence.nc>
This netcdf file contains nonharmonic VM1 semidiurnal internal-tide variance at PIL200 location as a function of the three model parameters.