What is PROFS?

 

It is a (computer) modeling system that attempts to simulate temporal and spatial distributions of sea-level, currents, temperature and salinity (hence density) in a specific ocean region, such as the Gulf of Mexico, for example.  The following diagram (Figure 2) illustrates (physical) processes and scales that a regional model typically deals with.

 

 

 

The advantage of focusing in a specific region is that one can use very high resolution, O(km) or smaller.  However, in general, the regional model also needs to know what is going on outside its domain – this outside information may be specified using observations, or it may be from a larger-scale model (e.g. a global model).  In the latter case, the larger, coarser-scale model can extend its validity to fine regional scales.  May be some day one can use a single computer model to resolve large and small scales.  However, in ocean modeling, as in life, there are always surprises, and there are no such things as a model that can do everything; no model is perfect.  At any rate, such an all-purpose model would be quite cumbersome to run.  A more efficient way would be to use grid-nesting or adaptive grid.  Many PROFS simulations use grid-nesting.  PROFS uses the Princeton Ocean Model (POM) as its “core engine.”


Preparing and Running a Model:

 

These typically require the following steps:

 

1.     Choose the region of interest and interpolate the bathymetric data to give depth values of the ocean at gridded locations.  See example grid below (Fig.3).  If you also want to simulate inundation (wet and dry or WAD) processes, you also need to prepare land topography near the coast – say 20km inland from the coastline;

2.     Interpolate temperature (T) and salinity (S) from climatological data [e.g. Levitus & Boyer, 1994] onto the model grid.  Typical runs use these T/S data (which with depths or pressures also give density) as model initial conditions, constraints to model solutions in a long-time integration, and/or open boundary conditions.  Keep in mind though that climatology is not observation; rather, it is an analysis of observations, and there are limitations on its spatial and temporal scales, for example;

3.     Interpolate sea-surface fluxes (e.g. momentum – i.e. winds, heating and cooling, and evaporation and precipitation etc.) onto the model grid.  These fluxes are used as forcing at the surface grid points of the model ocean;

4.     Obtain and specify lateral fluxes (e.g. rivers, deep-ocean flows, heat and salt fluxes etc) at the model’s near-coast grid points and open boundaries;

5.     Obtain and specify other forcing such as tides;

6.     Run the model.

         

 

Highlights of Recent Research with PROFS