Merge branch '3-add-SLTAC-matlab' into 'master'

.ipynb_checkpoints/

*.nc

*.mat

% calculate monthly mean surface geostrophic velocity off Brazil from 2000-2017

clear all

close all

% define path to data

base_path = '/data/c2/TMdata/git_geomar_de_data/SLTAC_GLO_PHY_L4_REP/';

SLTAC_version = 'v1.x.x';

path_to_data = [base_path, SLTAC_version, '/data/'];

% find indices of the region

lat_lim = [-12 -4];

lon_lim = [-40 -30] + 360;

lat_nc = -89.875 : 0.25 : 89.875;

lon_nc = 0.125 : 0.25 : 359.875;

idx = find(lon_nc > lon_lim(1) & lon_nc < lon_lim(2));

idy = find(lat_nc > lat_lim(1) & lat_nc < lat_lim(2));

% choose time period

year_folder = [2000 : 2017];

% allocate monthly fields

u_geo_m = NaN(length(idx), length(idy), length(year_folder) * 12);

v_geo_m = u_geo_m;

time_m = NaN(length(year_folder) * 12, 1);

% initialize progressbar

h = waitbar(0, 'Loading and averaging ...');

% load all files of one month and average

for iy = 1 : length(year_folder)

    % find all data files for current year (determined by iy)

    filename_year = [path_to_data, num2str(year_folder(iy))];

    KK = dir(filename_year);

    KK = KK(3 : end);

    % for all file names, extract months from file name

    for id = 1 : length(KK)

        mm(id) = str2num(KK(id).name(29 : 30));

    end

    % for all months, find files for this month and average

    for im = 1:12

        kk = find(mm == im); % returns indices matching current month

        % allocate temporary data fields

        u_geo = NaN(length(idx),length(idy),length(kk));

        v_geo = u_geo;

        % load all files for current month

        for ik = 1:length(kk)

            filename_current_day = [filename_year, '/', KK(kk(ik)).name];

            time_vec(ik) = double(ncread(filename_current_day, 'time'));

            time_vec(ik) = time_vec(ik) + datenum(1950, 1, 1, 0, 0, 0);

            ugos = double(ncread(filename_current_day, 'ugos'));

            u_geo(:,:,ik) = ugos(idx, idy);

            vgos = double(ncread(filename_current_day, 'vgos'));

            v_geo(:,:,ik) = vgos(idx, idy);

        end

        % average and store in final arrays

        u_geo_m(:, :, (iy - 1) * 12 + im) = nanmean(u_geo, 3);

        v_geo_m(:, :, (iy - 1) * 12 + im) = nanmean(v_geo, 3);

        time_m((iy - 1) * 12 + im) = nanmean(time_vec);

        % update status bar

        waitbar(((iy - 1) * 12 + im) / (length(year_folder) * 12), h)

    end

    clear mm KK

end

% close status bar

close(h)

% save as matfile

lon = lon_nc(idx) - 360;

lat = lat_nc(idy);

time_vec = time_m;

ugeo_mon = u_geo_m;

vgeo_mon = v_geo_m;

save example_07_SLTAC_monthly_mean_uv_off_Brazil lon lat time_vec ugeo_mon vgeo_mon

% and plot

figure(1);

m_proj('mercator', 'long', [-40 -30], 'lat', [-12 -4]);

hold on

m_contourf( ...

    lon_nc(idx) - 360, lat_nc(idy), nanmean(u_geo_m, 3)', ...

    [-.5 : 1 / 63 : .5], 'edgecolor', 'none')

m_gshhs_h('patch', [.5 .5 .5]);

colorbar

saveas(gcf, 'example_07_SLTAC_monthly_mean_uv_off_Brazil.png', 'png')