plot_Climatology.m

function plot_Climatology(hMainFig, hPlotAxes)
% Function to plot mean climatology and standard deviation
%
% Input
% -----
% hTsgGUI ............ Handel to the main user interface
% hPlotAxes .......... Handels to the 3 graphic axes
%
% Output
% ------
% none
%
% $Id$


% Read surface climatology (annual, seasonal or monthly)
% ------------------------------------------------------
read_Climatology(hMainFig);

% Get data after read_Climatology because it could be change tsg.levitus.type
% -------------------------------------------------------------------------
tsg = getappdata( hMainFig, 'tsg_data' );

% if reading error, tsg.levitus.data is empty, no action
% ------------------------------------------------------
if isempty(tsg.levitus.data)
  return
end

% get last selected climatology structure
% ---------------------------------------
s = get(findobj('Tag', 'TAG_UIMENU_CLIMATO_MAIN'), 'Userdata');

% select time dimension for climatology form saved structure s
% ------------------------------------------------------------
time_dim = s.time;

% round positive latitude and Longitude toward zero
% -------------------------------------------------
ind = find(tsg.LATX > 0);
lat(ind) = fix(tsg.LATX(ind)) + 0.5;

ind = find(tsg.LONX > 0);
lon(ind) = fix(tsg.LONX(ind)) + 0.5;

% rounds negative latitude and Longitudeto the nearest lowest integers
% ---------------------------------------------------------------------
ind = find(tsg.LATX <= 0);
lat(ind) = floor(tsg.LATX(ind)) + 0.5;

ind = find(tsg.LONX <= 0);
lon(ind) = floor(tsg.LONX(ind)) + 0.5;

% Calculates differences between adjacent elements of X.
% 0 if adajacent latitude or longitude are equal
% - 1 or -1 otherwise
% ------------------------------------------------------------
lat_diff = [diff( lat )'; 0];
lon_diff = [diff( lon )'; 0];

% Select latitude and longitude
% -----------------------------
ind  = find(abs(lat_diff) == 1 | abs(lon_diff == 1));
lat2 = lat( ind );
lon2 = lon( ind );
dayd = tsg.DAYD( ind );
ssjt = tsg.SSJT( ind );
ssps = tsg.SSPS( ind );

% Get Climatology
%           LATX(80)  = -0.5 et LATX(81)  = 0.5
%           LONX(180) = -0.5 et LONX(181) = 0.5
% ----------------
axes( hPlotAxes(1) );
mean_sstp = zeros(size(ind));
mean_ssps = zeros(size(ind));
std_sstp  = zeros(size(ind));
std_ssps  = zeros(size(ind));
for ii=1:length(ind)
  ilat          = find(tsg.levitus.data.WOA01_LATX == lat2(ii));
  ilon          = find(tsg.levitus.data.WOA01_LONX == lon2(ii));
  mean_sstp(ii) = tsg.levitus.data.WOA01_MEAN_SSTP(time_dim,1,ilat,ilon);
  mean_ssps(ii) = tsg.levitus.data.WOA01_MEAN_SSPS(time_dim,1,ilat,ilon);
  std_sstp(ii)  = tsg.levitus.data.WOA01_STD_SSTP(time_dim,1,ilat,ilon);
  std_ssps(ii)  = tsg.levitus.data.WOA01_STD_SSPS(time_dim,1,ilat,ilon);
end

% Plot mean salinity climatology
% ------------------------------
line(dayd, mean_ssps, ...
  'Tag', 'TAG_LINE_CLIMATO_MEAN_SSPS', 'Linestyle', '-', 'Color','k');

% Plot with 3 standard deviation
% ------------------------------
line(dayd,  mean_ssps + 3 * std_ssps, ...
  'Tag', 'TAG_LINE_CLIMATO_STDDEV_PLUS_SSPS', 'Linestyle', '-', 'Color','r');
line(dayd,  mean_ssps - 3 * std_ssps, ...
  'Tag', 'TAG_LINE_CLIMATO_STDDEV_MINUS_SSPS', 'Linestyle', '-', 'Color','r');

% Plot mean temperature climatology
% ---------------------------------
axes(hPlotAxes(2));
line(dayd, mean_sstp, ...
  'Tag', 'TAG_LINE_CLIMATO_MEAN_SSTP', 'Linestyle', '-', 'Color','k');
line(dayd,  mean_sstp + 3 * std_sstp, ...
  'Tag', 'TAG_LINE_CLIMATO_STDDEV_PLUS_SSTP', 'Linestyle', '-', 'Color','r');
line(dayd,  mean_sstp - 3 * std_sstp, ...
  'Tag', 'TAG_LINE_CLIMATO_STDDEV_MINUS_SSTP', 'Linestyle', '-', 'Color','r');

% Store the handle of the bucketline
% ----------------------------------
%set( hPlotAxes(1), 'UserData', hLine1 );
%set( hPlotAxes(2), 'UserData', hLine2 );

% save tsg structure
% ------------------
setappdata( hMainFig, 'tsg_data', tsg );

end