Changes between Version 14 and Version 15 of WorkingGroups/ConfigurationManager

Timestamp:

2013-02-25T12:00:42+01:00 (11 years ago)

Author:

jpaul

Comment:

--

WorkingGroups/ConfigurationManager

@@ -127 +127 @@
 
 = ''' 5. How INGV creates regional configuration ''' =
- 1. Hypothesis
- 1. Limits
- 1. Coordinates
- 1. Bathymetry
- 1. Boundary condition
- 1. Initial condition
- 1. Tide
- 1. Runoff
- 1. Surface forcing
+
+Most of the steps are done using matlab/f90 codes;
+We deal only with regional configuration regular configuration, no global.
+Our procedure is divided into 3 steps: Grid-InitialCondition-Forcing. 
+ 1. Grid
+  1. required input files: high resolution bathymetry (usually 1/2km), coast line (100m resolution);
+  1. define the region and the discretization step (lat, lon, delta-lat, delta-lon);
+  1. define kind of vertical discretization, zeta, sigma;
+  1. we usually define a regular horizontal mesh;
+  1. interpolate bathymetry into the model mesh (biliniar interpolation);
+  1. define number of vertical levels and they distribution: we usually make use of zeta coord with partial step.
+  For this case, in order to fix the vertical levels distribution we use ocean observations (CTD, XBT and ARGO).
+  We interpolate the obs data into several vertical grids generated using NEMO algorithm and then back to the original grid (usually 1m resolution);
+  we check for the vertical grid providing smaller interpolation error and able to reproduce the vertical water mass distribution; 
+  when sigma coordinates are used we compute hydrostatic consistency factor and smooth (simple laplacian filter) the topography accordingly;
+  1. define minimum depth;
+  1. refine land-sea mask on the base of the coast-line dataset (matlab GUI); The idea is to preserve realistic coast line despite the minimum depth;
+
+ 1. Initial Condition
+  1. required input file: observations, already existing mapped climatology (SeaDataNet, MedAtlas), or parent model results;
+  1. In case of sparse observation we do Objective Analysis to map the data into the model grid. in case of already existing mapped data we do a simple linear interpolation;
+  1. after the IC file is created we check for vertical stability and correct if necessary;
+
+ 1. Forcing
+  1. surface forcings; No specific tools are used here, just convert grib into netcdf according NEMO needs;
+  1. Lateral open boundary condition (up to now only OBC, simple test with BDY); up to now only ad-hoc scripts; The only common point are the integral constrains we apply. I.E. Preserve transport before and after the interpolation. 
+
 = ''' 6. Proposals to solve some limits ''' =
  * to create orca grid all over the globe (north pole, band of latitude. . . ), we could use Gridgen tool which is already in NEMO.