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miz_width.m
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miz_width.m
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%% Determining the MIZ
% The MIZ is calculated from a combination of FSD radius, significant wave
% height, and the change in FSD due to waves.
clear all
close all
clc
addpath functions
addpath packages/bedmap2_toolbox_v4
% Switches
sic_miz_switch = 1;
swh_miz_switch = 1;
fsd_miz_switch = 1;
miz_width_switch = 1;
iceedge = 0;
plotting = 1;
plotting_mean = 1;
printing = 0;
sector = "SA";%[-65, 360-132.2];
ssd = 1; % ssd or local data
SIC = [0.15, 0.8];
SWH = 0.0001;
fsd_max = 10; % Maximum size of pancake ice
ymax = 1200;
%% Preamble
user = 'noahday'; %a1724548, noahday, Noah
case_name = 'ocnatmo';
if ssd == 1
ssd_dir = '/Volumes/NoahDay5TB/cases/';
filedir = strcat(ssd_dir,case_name);
else
filedir = strcat('cases/',case_name);
end
grid = 'gx1';
time_period = 'd'; %'1','d','m','y'
season = "winter";
day = 1;
month_init = 9;
year = 2008;
date = sprintf('%d-0%d-%d', year, month_init, day);
months = [9];
dim = 2;
% Load the grid, ice shelf, and MIZ statistics.
% Grid
[lat,lon,row] = grid_read(grid);
% % Load ice shelf data
% shelf = bedmap2_data('icemask');
% shelf = 0.0*(shelf == 1);
% shelf(shelf==0) = NaN; % 1 iceshelf
% [latshelf,lonshelf] = bedmap2_data('latlon');
figcount = 0;
conFigure(11);
%% 1. SIC defintion
% The SIC MIZ is defined between 0.15 and 0.8 SIC
clear p p2
close
figcount = 0;
if sic_miz_switch == 1
date = sprintf('%d-0%d-0%d', year, month_init, day);
filename = strcat(filedir,"/history/iceh.",date,".nc");
[len, wid] = size(lat);
dim = 2;
variable = "aice";
sic_data = data_format_sector(filename,variable,"SA");
aice = data_format_sector(filename,variable,"SH");
idx = sic_data < SIC(1);
sic_miz = sic_data;
sic_miz(idx) = NaN;
idx = sic_data > SIC(2);
sic_miz(idx) = NaN;
figcount = figcount + 1;
f1 = figure(figcount);
[p,a] = map_plot(aice,variable,"SA",grid);
a.Limits = [0,1];
cmocean('ice',10)
title('Ice concentration')
figcount = figcount + 1;
f2 = figure(figcount);
[p2,a] = map_plot(sic_miz,variable,"SA",grid);
cmocean('ice',10)
a.Limits = [0,1];
title('SIC defined MIZ')
exportgraphics(f1,'aice.pdf','ContentType','vector')
exportgraphics(f2,'sicMiz.pdf','ContentType','vector')
end
%%
%close all
%f3 = figure
%swh_data = data_format_sector(filename,"fsdrad","SH");
%[p,a] = map_plot(swh_data,"fsdrad","SH");
%a.Label.String = "$r_a$ (m)";
%a.Label.Interpreter = "latex";
% exportgraphics(f3,'fsdrad.pdf','ContentType','vector')
%colormap parula
%% 2. SWH definition
if swh_miz_switch == 1
%date = sprintf('%d-0%d-0%d', year, month_init, day);
%filename = strcat(filedir,"/history/iceh.",date,".nc");
[len, wid] = size(lat);
variable = "wave_sig_ht";
swh_data = data_format_sector(filename,variable,sector);
idx = aice < 0.1;
swh_miz = swh_data;
swh_miz(idx) = NaN;
idx = swh_miz < eps;
swh_miz(idx) = NaN;
figcount = figcount + 1;
f3 = figure(figcount);
[p3,a] = map_plot(swh_miz,variable,sector,grid);
cmocean('ice')
title('SWH defined MIZ')
exportgraphics(f3,'swhMiz.pdf','ContentType','vector')
end
%% 3. FSD definition
close all
clear fsd_miz
figcount = 0;
sector = "SA";
if fsd_miz_switch == 1
date = sprintf('%d-0%d-0%d', year, month_init, day);
filename = strcat(filedir,"/history/iceh.",date,".nc");
[len, wid] = size(lat);
variable = "afsdn";
NFSD = ncread(filename,"NFSD");
afsdn_data = data_format_sector(filename,variable,sector);
afsd_data = data_format_sector(filename,"afsd",sector);
nfsd_data = fsd_converter(filename,"afsdn","n_fsd",afsdn_data,sector);
%figcount = figcount + 1;
%figure(figcount)
%map_plot(fsd_miz,variable,sector,grid,[0,1000]);
% Normalize FSD per cell
variable = "afsd";
NFSD = ncread(filename,"NFSD");
NCAT = ncread(filename,"NCAT");
fsd_miz = zeros(len,wid);
%fstd_data = data_format_sector(filename,variable,sector); % (x,y,fsd,itd)
for i = 1:len
for j = 1:wid
number_of_floes(i,j) = sum(nfsd_data(i,j,:));
for k = 1:16
if aice(i,j) > eps %sum(nfsd_data(i,j,:)) > eps
nfsd_data_normalised(i,j,k) = nfsd_data(i,j,k)/sum(nfsd_data(i,j,:));
else
nfsd_data_normalised(i,j,k) = 0.0;
end
end
pancake_conc(i,j) = nfsd_data_normalised(i,j,1) + nfsd_data_normalised(i,j,2);
if pancake_conc(i,j) > 0.9
fsd_miz(i,j) = 1.0; % Dominated by ice
else
fsd_miz(i,j) = 2.0;
end
end
end
f1 = figure;
[p4,a] = map_plot(pancake_conc,"aice",sector);
title('Pancake number concentration')
a.Limits = [0,1];
%exportgraphics(f1,'panMiz1.pdf','ContentType','vector')
for i = 1:len
for j = 1:wid
number_of_floes(i,j) = sum(nfsd_data(i,j,:));
for k = 1:16
afsd_area(i,j,k) = afsd_data(i,j,k)*NFSD(k);
end
pancake_conc(i,j) = afsd_area(i,j,1) + afsd_area(i,j,2);
if pancake_conc(i,j) > 0.9
fsd_miz(i,j) = 1.0; % Dominated by ice
else
fsd_miz(i,j) = 2.0;
end
end
end
f2 = figure;
[p5,a] = map_plot(pancake_conc,"aice",sector);
title('Pancake areal concentration')
a.Limits = [0,1];
cmocean('ice',10)
%exportgraphics(f2,'panMiz2.pdf','ContentType','vector')
f3 = figure;
[p5,a] = map_plot(1.0*(pancake_conc>0.4),"aice",sector);
title('Pancake areal concentration $> 0.4$')
a.Limits = [0,1];
cmocean('ice',10)
%exportgraphics(f3,'panMiz3.pdf','ContentType','vector')
f4 = figure;
[p5,a] = map_plot(1.0*(pancake_conc>0.48),"aice",sector);
title('Pancake areal concentration $> 0.48$')
a.Limits = [0,1];
cmocean('ice',10)
exportgraphics(f4,'panMiz48.pdf','ContentType','vector')
end
%% 4. MIZ widths
if miz_width_switch == 1
Data = struct('Month',{},'SIC',{},'SWH',{},'FSD',{});
% Sector analysis:
if isstring(sector)
coords = sector_coords(sector);
for k = 1:length(months)
month_init = months(k);
if month_init < 10
date = sprintf('%d-0%d-0%d', year, month_init, day);
else
date = sprintf('%d-%d-0%d', year, month_init, day);
end
if month_init == 1 || month_init == 3 || month_init == 5 || month_init == 7 || month_init == 8 || month_init == 10 || month_init == 12
datapoints = 31;
elseif month_init == 2
datapoints = 28;
else
datapoints = 30;
end
distSIC = zeros(1,datapoints);
distSWH = zeros(1,datapoints);
distFSD = zeros(1,datapoints);
for j = 1:datapoints
filename = strcat(filedir,"/history/iceh.",date,".nc");
% Find the longitudes of the edges of the sector
[~,lon_out1] = lat_lon_finder(coords(1,1),coords(1,2),lat,lon);
[~,lon_out2] = lat_lon_finder(coords(3,1),coords(3,2),lat,lon);
% 4. a) SIC
variable = "aice";
data = data_format(filename,variable,row,lat,lon);
if plotting == 1
figcount = figcount + 1;
figure(figcount)
[w, a, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
title('FSDrad along transect')
else
[~, ~, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
end
transect_data = output_data(lon_out1:lon_out2,:); % Take the southern hemisphere
for l = 1:lon_out2-lon_out1
% Find the cells that satisfy the requirements
idx1 = transect_data(l,:) > SIC(1);
idx2 = transect_data(l,:) < SIC(2);
idx_transect = logical(idx1.*idx2);
points = lat(lon_out1+l-1,idx_transect);
southern_hemi_points = points(points < 0);
[~,wid] = size(southern_hemi_points);
if wid == 0 % No MIZ
distSIC(l,j) = 0;
else
distSIC(l,j) = lldistkm([southern_hemi_points(1), l], [southern_hemi_points(end), l]);
end
if printing == 1
fprintf(strcat("The width of the SIC MIZ in the ", sector," sector is: %g km\n"), distSIC)
end
end
% 4.b SWH
variable = "wave_sig_ht";
data = data_format(filename,variable,row,lat,lon);
if plotting == 1
figcount = figcount + 1;
figure(figcount)
[w, a, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
else
[~, ~, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
end
transect_data = output_data(lon_out1:lon_out2,:); % Take the southern hemisphere
for l = 1:lon_out2-lon_out1
% Find the cells that satisfy the requirements
idx_transect = transect_data(l,:) > SWH;
points = lat(lon_out1+l-1,idx_transect);
southern_hemi_points = points(points < 0);
[~,wid] = size(southern_hemi_points);
if wid == 0 % No MIZ
distSWH(l,j) = 0;
else
distSWH(l,j) = lldistkm([southern_hemi_points(1), l], [southern_hemi_points(end), l]);
end
if printing == 1
fprintf(strcat("The width of the SWH MIZ in the ", sector," sector is: %g km\n"), distSWH)
end
end
% 4.c FSD
variable = "fsdrad";
data = data_format(filename,variable,row,lat,lon);
if plotting == 1
figcount = figcount + 1;
figure(figcount)
[w, a, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
title('FSDrad along transect')
else
[~, ~, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
end
transect_data = output_data(lon_out1:lon_out2,:); % Take the southern hemisphere
for l = 1:lon_out2-lon_out1
% Find the cells that satisfy the requirements
idx1 = transect_data(l,:) > eps;
idx2 = transect_data(l,:) < fsd_max;
idx_transect = logical(idx1.*idx2);
points = lat(lon_out1+l-1,idx_transect);
southern_hemi_points = points(points < 0);
[~,wid] = size(southern_hemi_points);
if wid == 0 % No MIZ
distFSD(l,j) = 0;
else
distFSD(l,j) = lldistkm([southern_hemi_points(1), l], [southern_hemi_points(end), l]);
end
if printing == 1
fprintf(strcat("The width of the FSD MIZ in the ", sector," sector is: %g km\n"), distFSD)
end
end
date = update_date(date);
end
Data(k).distSIC = distSIC;
Data(k).distSWH = distSWH;
Data(k).distFSD = distFSD;
Data(k).Month = monthName(months(k));
disp('complete')
end
else % is a transect
for k = 1:length(months)
month_init = months(k);
if month_init < 10
date = sprintf('%d-0%d-0%d', year, month_init, day);
else
date = sprintf('%d-%d-0%d', year, month_init, day);
end
if month_init == 1 || month_init == 3 || month_init == 5 || month_init == 7 || month_init == 8 || month_init == 10 || month_init == 12
datapoints = 31;
elseif month_init == 2
datapoints = 28;
else
datapoints = 30;
end
datapoints = 22;
distSIC = zeros(1,datapoints);
distSWH = zeros(1,datapoints);
distFSD = zeros(1,datapoints);
for j = 1:datapoints
filename = strcat(filedir,"/history/iceh.",date,".nc");
% 4. a) SIC
[~,lon_out] = lat_lon_finder(sector(1),sector(2),lat,lon);
variable = "aice";
data = data_format(filename,variable);
if plotting == 1
figcount = figcount + 1;
figure(figcount)
[w, a, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
title('FSDrad along transect')
else
[~, ~, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
end
transect_data = output_data(lon_out,:); % Take the southern hemisphere
idx1 = transect_data > SIC(1);
idx2 = transect_data < SIC(2);
idx_transect = logical(idx1.*idx2);
points = lat(lon_out,idx_transect);
southern_hemi_points = points(points < 0);
[~,wid] = size(southern_hemi_points);
if wid == 0 % No MIZ
distSIC(j) = 0;
else
distSIC(j) = lldistkm([southern_hemi_points(1), lon_out], [southern_hemi_points(end), lon_out]);
end
if printing == 1
fprintf('The width of the SIC MIZ along %g E is %g km\n', sector(2), distSIC)
end
% 4.b SWH
[~,lon_out] = lat_lon_finder(sector(1),sector(2),lat,lon);
variable = "wave_sig_ht";
data = data_format(filename,variable);
if plotting == 1
figcount = figcount + 1;
figure(figcount)
[w, a, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
else
[~, ~, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
end
transect_data = output_data(lon_out,:); % Take the southern hemisphere
idx_transect = transect_data > SWH;
points = lat(lon_out,idx_transect);
southern_hemi_points = points(points < 0);
[~,wid] = size(southern_hemi_points);
if wid == 0 % No MIZ
distSWH(j) = 0;
else
distSWH(j) = lldistkm([southern_hemi_points(1), lon_out], [southern_hemi_points(end), lon_out]);
end
if printing == 1
fprintf('The width of the SWH MIZ along %g E is %g km\n', sector(2), distSWH)
end
% 4.c FSD
[lat_out,lon_out] = lat_lon_finder(sector(1),sector(2),lat,lon);
variable = "fsdrad";
data = data_format(filename,variable);
if plotting == 1
figcount = figcount + 1;
figure(figcount)
[w, a, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
title('FSDrad along transect')
else
[~, ~, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
end
transect_data = output_data(lon_out,:); % Take the southern hemisphere
idx1 = transect_data < fsd_max;
idx2 = transect_data > eps;
idx_transect = logical(idx1.*idx2);
points = lat(lon_out,idx_transect);
southern_hemi_points = points(points < 0);
[~,wid] = size(southern_hemi_points);
if wid == 0 % No MIZ
distFSD(j) = 0;
else
distFSD(j) = lldistkm([southern_hemi_points(1), lon_out], [southern_hemi_points(end), lon_out]);
end
if printing == 1
fprintf('The width of the FSD MIZ along %g E is %g km\n', sector(2), distFSD)
end
date = update_date(date);
end
Data(k).SIC = distSIC;
Data(k).SWH = distSWH;
Data(k).FSD = distFSD;
Data(k).Month = monthName(months(k));
end
end
end
%% 5. MIZ widths with SIC
if miz_width_switch == 1
Data_sic = struct('Month',{},'SIC',{},'SWH',{},'FSD',{});
% Sector data
if isstring(sector)
coords = sector_coords(sector);
for k = 1:length(months)
month_init = months(k);
if month_init < 10
date = sprintf('%d-0%d-0%d', year, month_init, day);
else
date = sprintf('%d-%d-0%d', year, month_init, day);
end
if month_init == 1 || month_init == 3 || month_init == 5 || month_init == 7 || month_init == 8 || month_init == 10 || month_init == 12
datapoints = 31;
elseif month_init == 2
datapoints = 28;
else
datapoints = 30;
end
% datapoints = 22;
distSIC = zeros(1,datapoints);
distSWH = zeros(1,datapoints);
distFSD = zeros(1,datapoints);
for j = 1:datapoints
filename = strcat(filedir,"/history/iceh.",date,".nc");
% Find the longitudes of the edges of the sector
[~,lon_out1] = lat_lon_finder(coords(1,1),coords(1,2),lat,lon);
[~,lon_out2] = lat_lon_finder(coords(3,1),coords(3,2),lat,lon);
% 4. a) SIC
variable = "aice";
data = data_format(filename,variable);
if plotting == 1
figcount = figcount + 1;
figure(figcount)
[w, a, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
title('FSDrad along transect')
else
[~, ~, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
end
transect_data = output_data(lon_out1:lon_out2,:); % Take the southern hemisphere
for l = 1:lon_out2-lon_out1
% Find the cells that satisfy the requirements
idx1 = transect_data(l,:) > SIC(1);
idx2 = transect_data(l,:) < SIC(2);
idx_transect = logical(idx1.*idx2);
points = lat(lon_out1+l-1,idx_transect);
southern_hemi_points = points(points < 0);
[~,wid] = size(southern_hemi_points);
if wid == 0 % No MIZ
distSIC(l,j) = 0;
else
distSIC(l,j) = lldistkm([southern_hemi_points(1), l], [southern_hemi_points(end), l]);
end
if printing == 1
fprintf(strcat("The width of the SIC MIZ in the ", sector," sector is: %g km\n"), distSIC)
end
end
% 4.b SWH
variable = "wave_sig_ht";
data = data_format(filename,variable);
if plotting == 1
figcount = figcount + 1;
figure(figcount)
[w, a, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
else
[~, ~, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
end
transect_data = output_data(lon_out1:lon_out2,:); % Take the southern hemisphere
for l = 1:lon_out2-lon_out1
% Find the cells that satisfy the requirements
idx_transect = transect_data(l,:) > SWH;
points = lat(lon_out1+l-1,idx_transect);
southern_hemi_points = points(points < 0);
[~,wid] = size(southern_hemi_points);
if wid == 0 % No MIZ
distSWH(l,j) = 0;
else
distSWH(l,j) = lldistkm([southern_hemi_points(1), l], [southern_hemi_points(end), l]);
end
if printing == 1
fprintf(strcat("The width of the SWH MIZ in the ", sector," sector is: %g km\n"), distSWH)
end
end
% 4.c FSD
variable = "fsdrad";
data = data_format(filename,variable);
if plotting == 1
figcount = figcount + 1;
figure(figcount)
[w, a, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
title('FSDrad along transect')
else
[~, ~, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
end
transect_data = output_data(lon_out1:lon_out2,:); % Take the southern hemisphere
for l = 1:lon_out2-lon_out1
% Find the cells that satisfy the requirements
idx1 = transect_data(l,:) > eps;
idx2 = transect_data(l,:) < fsd_max;
idx_transect = logical(idx1.*idx2);
points = lat(lon_out1+l-1,idx_transect);
southern_hemi_points = points(points < 0);
[~,wid] = size(southern_hemi_points);
if wid == 0 % No MIZ
distFSD(l,j) = 0;
else
distFSD(l,j) = lldistkm([southern_hemi_points(1), l], [southern_hemi_points(end), l]);
end
if printing == 1
fprintf(strcat("The width of the FSD MIZ in the ", sector," sector is: %g km\n"), distFSD)
end
end
date = update_date(date);
end
Data(k,:).SIC = mean(distSIC);
Data(k,:).SWH = mean(distSWH);
Data(k,:).FSD = mean(distFSD);
end
else % is a transect
for k = 1:length(months)
month_init = months(k);
if month_init < 10
date = sprintf('%d-0%d-0%d', year, month_init, day);
else
date = sprintf('%d-%d-0%d', year, month_init, day);
end
if month_init == 1 || month_init == 3 || month_init == 5 || month_init == 7 || month_init == 8 || month_init == 10 || month_init == 12
datapoints = 31;
elseif month_init == 2
datapoints = 28;
else
datapoints = 30;
end
distSIC = zeros(1,datapoints);
distSWH = zeros(1,datapoints);
distFSD = zeros(1,datapoints);
for j = 1:datapoints
filename = strcat(filedir,"/history/iceh.",date,".nc");
% 4. a) SIC
[~,lon_out] = lat_lon_finder(sector(1),sector(2),lat,lon);
variable = "aice";
data = data_format(filename,variable);
if plotting == 1
figcount = figcount + 1;
figure(figcount)
[w, a, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
title('FSDrad along transect')
else
[~, ~, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
end
transect_data = output_data(lon_out,:); % Take the southern hemisphere
idx_sic = transect_data > SIC(1);
idx2 = transect_data < SIC(2);
idx_transect = logical(idx_sic.*idx2);
points = lat(lon_out,idx_transect);
southern_hemi_points = points(points < 0);
[~,wid] = size(southern_hemi_points);
if wid == 0 % No MIZ
distSIC(j) = 0;
else
distSIC(j) = lldistkm([southern_hemi_points(1), lon_out], [southern_hemi_points(end), lon_out]);
end
if printing == 1
fprintf('The width of the SIC MIZ along %g E is %g km\n', sector(2), distSIC)
end
% 4.b SWH
[~,lon_out] = lat_lon_finder(sector(1),sector(2),lat,lon);
variable = "wave_sig_ht";
data = data_format(filename,variable);
if plotting == 1
figcount = figcount + 1;
figure(figcount)
[w, a, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
else
[~, ~, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
end
transect_data = output_data(lon_out,:); % Take the southern hemisphere
% Find points where waves are greater than SWH and ice is
% greater than 15%
idx_swh = transect_data > SWH;
idx_transect = logical(idx_sic.*idx_swh);
points = lat(lon_out,idx_transect);
southern_hemi_points = points(points < 0);
[~,wid] = size(southern_hemi_points);
if wid == 0 % No MIZ
distSWH(j) = 0;
else
distSWH(j) = lldistkm([southern_hemi_points(1), lon_out], [southern_hemi_points(end), lon_out]);
end
if printing == 1
fprintf('The width of the SWH MIZ along %g E is %g km\n', sector(2), distSWH)
end
% 4.c FSD
[lat_out,lon_out] = lat_lon_finder(sector(1),sector(2),lat,lon);
variable = "fsdrad";
data = data_format(filename,variable);
if plotting == 1
figcount = figcount + 1;
figure(figcount)
[w, a, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
title('FSDrad along transect')
else
[~, ~, output_data] = map_plot(data,variable,sector,grid,[0,11],plotting);
end
transect_data = output_data(lon_out,:); % Take the southern hemisphere
% Find points where FSD < max and SIC > 0.15
idx1 = transect_data < fsd_max;
idx2 = transect_data > eps;
idx_transect = logical(idx1.*idx2.*idx_sic);
points = lat(lon_out,idx_transect);
southern_hemi_points = points(points < 0);
[~,wid] = size(southern_hemi_points);
if wid == 0 % No MIZ
distFSD(j) = 0;
else
distFSD(j) = lldistkm([southern_hemi_points(1), lon_out], [southern_hemi_points(end), lon_out]);
end
if printing == 1
fprintf('The width of the FSD MIZ along %g E is %g km\n', sector(2), distFSD)
end
date = update_date(date);
end
Data_sic(k).Month = [distSIC;distSWH;distFSD];
end
end
end
%% Plotting
if plotting_mean == 1
if isstring(sector)
%for i = 1:datapoints
% distSIC_ave_daily(m,i) = mean(distSIC(:,i));
% distSWH_ave_daily(m,i) = mean(distSWH(:,i));
% distFSD_ave_daily(m,i) = mean(distFSD(:,i));
%end
% 1a) Boxplot widths
figcount = figcount + 1;
f = figure(figcount);
t = tiledlayout(1,length(months));
for i = 1:length(months)
plot_data = [distSIC_ave_daily;distSWH_ave_daily;distFSD_ave_daily];
nexttile
boxplot(plot_data',["SIC","SWH","FSD"])
ylabel('MIZ width (km)')
xlabel('MIZ definition')
ylim([0,ymax])
text = strcat("MIZ widths of the ", sector, " sector transect over " ,monthName(months(i))," %g");
title(sprintf(text,year))
f.Position = [100 100 1500 400];
end
% 1b) Correlations
figcount = figcount + 1;
f = figure(figcount);
t2 = tiledlayout(1,length(months));
for i = 1:length(months)
%plot_data = Data(i).Month;
nexttile
x = plot_data(2,:);
y = plot_data(3,:);
%scatter(x,y)
% Get coefficients of a line fit through the data.
coefficients = polyfit(x, y, 1);
% Create a new x axis with exactly 1000 points (or whatever you want).
xFit = linspace(min(x), max(x), 1000);
% Get the estimated yFit value for each of those 1000 new x locations.
yFit = polyval(coefficients , xFit);
% Plot everything.
plot(x, y, 'b.', 'MarkerSize', 15); % Plot training data.
hold on; % Set hold on so the next plot does not blow away the one we just drew.
plot(xFit, yFit, 'r-', 'LineWidth', 2); % Plot fitted line.
grid on;
ylabel('SWH MIZ width (km)')
xlabel('FSD MIZ width (km)')
ylim([0,ymax])
xlim([0,1000])
text = strcat(monthName(months(i))," %g in the ", sector, " sector");
title(sprintf(text,year,sector(2)))
f.Position = [100 100 1500 400];
end
% 1c) Widths over time
for i = lon_out1:lon_out2
lengend_text(i-lon_out1+1) = sprintf("%g",i);
end
figcount = figcount + 1;
f = figure(figcount);
t_width = tiledlayout(1,3);
nexttile
plot(1:datapoints,distSIC)
legend(lengend_text)
xlabel("Dates")
ylabel("MIZ width (km)")
nexttile
plot(1:datapoints,distSWH)
xlabel("Dates")
ylabel("MIZ width (km)")
nexttile
plot(1:datapoints,distFSD)
xlabel("Dates")
ylabel("MIZ width (km)")
else
% 2a) Boxplot widths
figcount = figcount + 1;
f = figure(1);
t = tiledlayout(1,length(months));
for i = 1:length(months)
plot_data = Data_sic(i).Month;
%plot_data = Data(i).Month;
nexttile
boxplot(plot_data',["SIC","SWH","FSD"])
% Data.Month = categorical(Data.Month);
% load patients
% binEdges = 25:5:50;
% bins = {'late 20s','early 30s','late 30s','early 40s','late 40s+'};
% groupAge = discretize(Age,binEdges,'categorical',bins);
% boxchart(groupAge,Diastolic)
% xlabel('Age Group')
% ylabel('Diastolic Blood Pressure')
%
% monthOrder = categorical({'February'});
% Data.Month = categorical(Data.Month,monthOrder);
% for i = 1:length(months)
% plot_data(i,:) = Data(i).SWH;
% end
% boxchart(1:22,plot_data(1,:))
ylabel('MIZ width (km)')
xlabel('MIZ definition')
ylim([0,ymax])
%
%
text = strcat("MIZ widths of the %g E transect over " ,monthName(months(i))," %g");
title(sprintf(text,sector(2),year))
f.Position = [100 100 1500 400];
end
% 2b) Correlations
figcount = figcount + 1;
f = figure(figcount);
t2 = tiledlayout(1,length(months));
for i = 1:length(months)
plot_data = Data(i).Month;
% nexttile
% x = plot_data(2,:);
% y = plot_data(3,:);
% %scatter(x,y)
% % Get coefficients of a line fit through the data.
% coefficients = polyfit(x, y, 1);
% % Create a new x axis with exactly 1000 points (or whatever you want).
% xFit = linspace(min(x), max(x), 1000);
% % Get the estimated yFit value for each of those 1000 new x locations.
% yFit = polyval(coefficients , xFit);
% % Plot everything.
% plot(x, y, 'b.', 'MarkerSize', 15); % Plot training data.
% hold on; % Set hold on so the next plot does not blow away the one we just drew.
% plot(xFit, yFit, 'r-', 'LineWidth', 2); % Plot fitted line.
% grid on;
% ylabel('SWH MIZ width (km)')
% xlabel('FSD MIZ width (km)')
% ylim([0,ymax])
% xlim([0,1000])
% text = strcat(monthName(months(i))," %g along %g E transect");
% title(sprintf(text,year,sector(2)))
% f.Position = [100 100 1500 400];
end
% 3a) SIC Boxplots
% figcount = figcount + 1;
% f = figure(figcount);
% t = tiledlayout(1,length(months));
% for i = 1:length(months)
% plot_data = Data_sic(i).Month;
% nexttile
% boxplot(plot_data',["SIC","SWH and SIC > 0.15","FSD and SIC > 0.15"])
%
% %ylabel('Temperature (F)')
% legend
% ylabel('MIZ width (km)')
% xlabel('MIZ definition')
% ylim([0,ymax])
% text = strcat("MIZ widths of the %g E transect over " ,monthName(months(i))," %g");
% title(sprintf(text,sector(2),year))
% f.Position = [100 100 1500 400];
% end
% %3b) SIC Correlations
% figcount = figcount + 1;
% f = figure(figcount);
% t2 = tiledlayout(1,length(months));
% for i = 1:length(months)
% plot_data = Data_sic(i).Month;
% nexttile
% x = plot_data(2,:);
% y = plot_data(3,:);
% %scatter(x,y)
% % Get coefficients of a line fit through the data.
% coefficients = polyfit(x, y, 1);
% % Create a new x axis with exactly 1000 points (or whatever you want).
% xFit = linspace(min(x), max(x), 1000);
% % Get the estimated yFit value for each of those 1000 new x locations.
% yFit = polyval(coefficients , xFit);
% % Plot everything.
% plot(x, y, 'b.', 'MarkerSize', 15); % Plot training data.
% hold on; % Set hold on so the next plot does not blow away the one we just drew.
% plot(xFit, yFit, 'r-', 'LineWidth', 2); % Plot fitted line.
% grid on;
% ylabel('SWH and SIC > 0.15 MIZ width (km)')
% xlabel('FSD and SIC > 0.15 MIZ width (km)')
% ylim([0,ymax])
% xlim([0,1000])
% text = strcat(monthName(months(i))," %g along %g E transect");
% title(sprintf(text,year,sector(2)))
% f.Position = [100 100 1500 400];
% end
end
end
%% Functions
% function ave_data = aggregate_data(case_name,date,datapoints,variable,dim)
% if dim == 2
% for i = 1:datapoints % number of days
% filename = strcat("cases/",case_name,"/history/iceh.",date,".nc");
% data = ncread(filename, variable); % wave_sig_ht, dafsd_wave, fsdrad, peak_period
% data = rearrange_matrix(data,37,dim);
% data_formatted = [data; data(end,:)];
% grid = "gx1";
% mask = ice_mask(case_name,date,grid,SIC);
% total_data(:,:,i) = data_formatted.*mask;
% % update date
% date = update_date(date);
% end
% ave_data = mean(total_data,3);
% else % dim == 3
% for i = 1:datapoints % number of days
% filename = strcat("cases/",case_name,"/history/iceh.",date,".nc");
% data = ncread(filename, variable); % wave_sig_ht, dafsd_wave, fsdrad, peak_period
% nfsd = ncread(filename, "NFSD");
% data1D = sum(data,3)/numel(nfsd); % diving by the number of categories
% data1D = rearrange_matrix(data1D,37,2);
% total_data(:,:,i) = [data1D; data1D(end,:)];
% % update date
% date = update_date(date);
% end
% ave_data = mean(total_data,3);
% end
% end
%
% function edge = ice_edge(case_name,date,grid)
% %% Find the ice edge
% % Find the ice edge and land edge
% filename = strcat("cases/",case_name,"/history/iceh.",date,".nc");
% latit = 100;
% variable = "aice";
% dim = 2;
% datapoints = 92;
% [lat,lon,row] = grid_read(grid);
% aice_data(:,:) = aggregate_data(case_name,date,datapoints,variable,dim);
% [len, wid] = size(aice_data);
% for i = 1:len
% long_ice_edge = aice_data(i,1:latit);
% pos = find(long_ice_edge < eps);
% ice_pos(i) = pos(1);
% end
% edge = ice_pos;
% end
%
%
% function mask = ice_mask(case_name,date,grid,conc)
% %% Find the ice edge
% % Find the ice edge and land edge
% filename = strcat("cases/",case_name,"/history/iceh.",date,".nc");
% latit = 100;
% variable = "aice";
% dim = 2;
% datapoints = 92;
% [lat,lon,row] = grid_read(grid);
% filename = strcat("cases/",case_name,"/history/iceh.",date,".nc");
% aice_data = ncread(filename, variable); % wave_sig_ht, dafsd_wave, fsdrad, peak_period
% aice_data = rearrange_matrix(aice_data,37,dim);
% aice_data_formatted = [aice_data; aice_data(end,:)];
% [len, wid] = size(aice_data_formatted);
% ice_pos = zeros(len,wid);
% for i = 1:len
% long_ice_edge = aice_data_formatted(i,1:latit);
% pos = find(long_ice_edge > conc);
% ice_pos(i,pos) = 1;
% end
% mask = ice_pos;
% end
%
% function y = map_creator_miz(filename, plot_title_vec, i, variable, grid, map_type, user, case_name)
% %MAP_CREATOR creates map images of Antarctica given netcdf data files
% % filename: the directory to the .nc file
% % plot_title: string containing the title for the plot
% % i: the date of the data file
% % variable: the variable in the dataset we want to plot
% % grid: specify the grid. eg. 'gx1', 'gx3'
%
% % Load ice shelf data
% addpath packages/bedmap2_toolbox_v4
%
% shelf = bedmap2_data('icemask');
% shelf = 0.0*(shelf == 1);
% shelf(shelf==0) = NaN; % 1 iceshelf
% [latshelf,lonshelf] = bedmap2_data('latlon');
%
% % grid
% dim = 2;
% if grid == 'gx3'