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jacques.grelet_ird.fr
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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
%
% $Id$
% Get data
% -----------------------
tsg = getappdata( hMainFig, 'tsg_data' );
% Get line handles
% ----------------
hLine1 = get( hPlotAxes(1), 'UserData');
hLine2 = get( hPlotAxes(2), 'UserData');
% Read surface climatology (annual, seasonal or monthly)
% ------------------------------------------------------
read_Climatology(hMainFig, tsg.levitus.type);
jacques.grelet_ird.fr
committed
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% select time dimension for climatology
dim_time = tsg.levitus.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(dim_time,1,ilat,ilon);
mean_ssps(ii) = tsg.levitus.data.WOA01_MEAN_SSPS(dim_time,1,ilat,ilon);
std_sstp(ii) = tsg.levitus.data.WOA01_STD_SSTP(dim_time,1,ilat,ilon);
std_ssps(ii) = tsg.levitus.data.WOA01_STD_SSPS(dim_time,1,ilat,ilon);
end
% Plot mean salinity climatology
% ------------------------------
hLine1.meanClim = line( ...
dayd, mean_ssps,'Linestyle', '-', 'Color','k');
% Plot with 3 standard deviation
% ------------------------------
hLine1.stdClimPlus = line( ...
dayd, mean_ssps + 3 * std_ssps ,'Linestyle', '-', 'Color','r');
hLine1.stdClimMinus = line( ...
dayd, mean_ssps - 3 * std_ssps ,'Linestyle', '-', 'Color','r');
% Plot mean temperature climatology
% ---------------------------------
axes( hPlotAxes(2));
hLine2.meanClim = line( ...
dayd, mean_sstp,'Linestyle', '-', 'Color','k');
hLine2.stdClimPlus = line( ...
dayd, mean_sstp + 3 * std_sstp ,'Linestyle', '-', 'Color','r');
hLine2.stdClimMinus = line( ...
dayd, mean_sstp - 3 * std_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 );