polaris.tasks.ocean.mixed_layer_eddies.diagnostics.compute_buoyancy_gradient

polaris.tasks.ocean.mixed_layer_eddies.diagnostics.compute_buoyancy_gradient(config, ds_mesh, ds, cell_mask, ml_depth)

Compute the mixed-layer mean cross-front buoyancy gradient from differences of area-weighted means over y-bands one row of cells wide

Parameters:

• config (polaris.config.PolarisConfigParser) – Config options

• ds_mesh (xarray.Dataset) – The horizontal mesh

• ds (xarray.Dataset) – Model output with tracers and a thickness, with or without Time

• cell_mask (xarray.DataArray) – The cells whose bands contribute to the mean gradient

• ml_depth (float) – The depth of the mixed layer (m)

Returns:

buoyancy_gradient (xarray.DataArray) – The mean gradient (s-2), with Time if ds has it