function tsg = tsg_initialisation()
%function tsg_initialisation(hTsgGUI)
%
% Input
% -----
% none
%
% Output
% ------
% tsg     ............ tsg structure that contain data 
%
% $Id$
%

% -------------------------------------------------------------------------
%%              Constants for NetCDF DATA FORMAT TSG
% -------------------------------------------------------------------------

% netcdf file version
% -------------------
NETCDF_FORMAT_VERSION  = '1.4';

% date of reference for julian days, is 1st january 1950
% ------------------------------------------------------
REFERENCE_DATE_TIME    = '19500101000000';

% get actual date
% ---------------
date = datestr(now,30);

% set default font size
% ---------------------
tsg.fontSize = 11;

% -------------------------------------------------------------------------
%%              Levitus field for climatology
% -------------------------------------------------------------------------
tsg.levitus.data = [];
tsg.levitus.type = 'none';
tsg.levitus.time = 1;

% -------------------------------------------------------------------------
%%              file field 
% -------------------------------------------------------------------------
tsg.file.name = [];
tsg.file.type = [];

% -------------------------------------------------------------------------
%%              Smooth TSG time serie field
% -------------------------------------------------------------------------
tsg.ssps.smooth.val  = [];
tsg.ssps.smooth.nval = [];

% -------------------------------------------------------------------------
%%              Constants for the quality control procedure
% -------------------------------------------------------------------------

% Quality flags reference table, see GOSUD, DATA FORMAT TSG V1.4, table 4
% -----------------------------------------------------------------------
%  Code      Meaning                        
%
%  0         No QC was performed
%  1         Good data                     
%  2         Probably good data             
%  3         Bad data that are potentially correctable          
%  4         Bad data                  
%  5         Value changed                   
%  6         Data acquired in harbour                             
%  7         Not used                        
%  8         Interpolated value                              
%  9         Missing value                              

% Quality definition, we use a hashtable with a definition file 
% located in @tsg_nc/tsg_quality.csv, 
% use this file if you want add or modify quality context menu
% -------------------------------------------------------------
tsg.qc.hash = tsg_nc('tsg_quality.csv');

% set default code at startup
% ---------------------------
tsg.qc.active.Code         = get(tsg.qc.hash, 'NO_CONTROL', 'code');
tsg.qc.active.Color        = get(tsg.qc.hash, 'NO_CONTROL', 'color');

% set empty queue (use for undo/redo)
% -----------------------------------
tsg.queue = queue;

% -------------------------------------------------------------------------
%%              Constants for the Correction procedure
% -------------------------------------------------------------------------
% Smoothing of tsg time series over 1 hour interval
% 1 hour interval expressed in MATLAB serial Number
% -------------------------------------------------
tsg.cst.TSG_DT_SMOOTH = datenum(0, 0, 0, 1, 0 , 0);

% Smoothing of tsg time series :
% Salinity, in 1 hour interval, should not depart the average for more
% than SAL_STD_MAX standard deviation
% --------------------------------------------------------------------
tsg.cst.TSG_STDMAX = 0.1;

% Correction is estimated by computing the median value of X tsg-sample
% differences
% Time window in days used to compute the correction
% ---------------------------------------------------------------------
tsg.cst.COR_TIME_WINDOWS = 10;

% Maximum time difference between tsg data and water sample used to
% compute the difference : 5 minutes.
% -----------------------------------------------------------------
tsg.cst.TSG_WS_TIMEDIFF = datenum(0, 0, 0, 0, 5, 0);

% Get variables list codes from class tsg_nc with file 'tsg_ncvar.csv'
% --------------------------------------------------------------------
ncv             = tsg_nc('tsg_ncvar.csv');
ncv_keys        = keys(ncv);

% Get global attributes list from class tsg_nc with file 'tsg_ncattr.csv'
% -----------------------------------------------------------------------
nca             = tsg_nc('tsg_ncattr.csv');
nca_keys        = keys(nca);

% store tsg NetCDF data structure
% -------------------------------

% dimensions
% ----------
tsg.DAYD                  = [];
tsg.DAYD_WS               = [];
tsg.DAYD_EXT              = [];

% initialise tsg structure from tsg_nc objects
% --------------------------------------------

% assign empty matrix to all variables
% ------------------------------------
for i=1:numel(ncv_keys)
  variable = ncv_keys{i};
  tsg.(variable) = [];
end

% assign empty string to all globals attributes
% ---------------------------------------------
for i=1:numel(nca_keys)
  global_att = nca_keys{i};
  tsg.(global_att) = '';
end

% set some fields
% ---------------
tsg.FORMAT_VERSION        =  NETCDF_FORMAT_VERSION;
tsg.DATE_CREATION         =  [date(1:8) date(10:15)];
tsg.DATE_UPDATE           =  tsg.DATE_CREATION; 
tsg.REFERENCE_DATE_TIME   = REFERENCE_DATE_TIME;