new dataset available - passive tracer simulation

@nrahpoe I have produced a simulation with a purely passive tracer and run it for about a month with snapshot output at every time step.

You can find the files on MN5 here:

/gpfs/scratch/bsc32/bsc032739/a95g/19710101/fc02/runtime/

list of files and what they contain:

1 - a95g_1ts_19710101_19711231_opa_grid_T_3D.nc

contains the tracer mytrc

2 - a95g_1ts_19710101_19711231_opa_grid_T_2D.nc

mlotst ocean_mixed_layer_thickness_defined_by_sigma_theta

omld ocean_mixed_layer_thickness_defined_by_vertical_tracer_diffusivity

3 - a95g_1ts_19710101_19711231_opa_grid_U_3D.nc

umo Effective ocean transport along i-axis

4 - a95g_1ts_19710101_19711231_opa_grid_V_3D.nc

vmo Effective ocean transport along j-axis

5 - a95g_1ts_19710101_19711231_opa_grid_W_3D.nc

wmo effective ocean vertical transport

difvso vertical salt diffusivity * e3w

For each variable you have at least 1000 time steps.

Target:

mytrc at t1

Predictors:

mytrc at t0

mytrc at t0 in surrounding boxes

umo, vmo, wmo at t0 in surrounding boxes

I would start with these variables below the mixed layer depth, which you can check with mlotst.

You can see the initial distribution of the passive tracer in restart_trc.nc

You'll see that there are 6 patches with initial concentration of 10. These patches are located in different locations and at different depths.

With these datasets you should have enough to get started.

Additional information can come from mlotst, omld and difvso but I would start with a reduced problem, away from the mixed layer where most transport is explained by umo, vmo and wmo.

@vlapin FYI