How to set level values of a variable by comparing(subtracing) two nc files
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Hi Freinds
I need to spot seasonal trends of chlor_a nc data for last 10 years for which I considered 2 year(2015 and 2016) nc files (Feb)month at the moment
I find error while subtracting both files to compare and identify max persistence (chlor_a conc.) hotspot of particular month during successive year . After executing need to save both files in nc format, [+ve] value means max chlor_a conc. and [-ve] value means less conc.
I have extracted the chlor_a data and have plot with respective x and y coordinates,
I used below code for both nc files
ncfile_1 = 'A20150322015059.L3m_MO_CHL_chlor_a_4km.nc';
lat_1 = ncread(ncfile_1,'lat') ;
lon_1 = ncread(ncfile_1,'lon') ;
chlor_a_1 = ncread(ncfile_1,'chlor_a');
[X_1,Y_1] = meshgrid(lon_1,lat_1) ;
nn = 1000;
xi_1 = linspace(30,100,nn) ;
yi_1 = linspace(0,30,nn) ;
[Xi_1,Yi_1] = meshgrid(xi_1,yi_1);
iwant_1 = interp2(X_1,Y_1,chlor_a_1',Xi_1,Yi_1)' ;
ind_1 = find(iwant_1>10 | iwant_1<0);
%ind = find(iwant_2 > 0 & iwant_1<10);
iwant_1(ind_1) = NaN;
%[min_val_1,min_ind_1] = min(iwant_1',[],'all','linear');
[min_val_1,min_ind_1] = min(reshape(iwant_1',[],1));
[r1_1,c1_1]=ind2sub(nn,min_ind_1);
x_min_1 = xi_1(c1_1);
y_min_1 = yi_1(r1_1);
%[max_val_1,max_ind_1] = max(iwant_1',[],'all','linear');
[max_val_1,max_ind_1] = max(reshape(iwant_1',[],1));
[r2_1,c2_1]=ind2sub(nn,max_ind_1);
x_max_1 = xi_1(c2_1);
y_max_1 = yi_1(r2_1);
figure(1)
pcolor(xi_1,yi_1,iwant_1'); shading interp;
c = colorbar;
cmap = jet(255);
cmap(:,2) = 0;
colormap(cmap)
caxis([0, 5])
hold on
plot(x_min_1,y_min_1,'k +', 'MarkerSize', 10);
plot(x_max_1,y_max_1,'m +', 'MarkerSize', 10);
hold off
legend('','min','max');
I need to get the plot as such after subtraction, please find the attached image
similary need to work on to compare weekly data
data link
Kindly help, waitng for your valuable inputs
Thanks in advance
regards
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KSSV
2021년 9월 14일
Your interpolation grid coordinates are completely different comapred to original grid. Read about interp2.
ncfile_1 = 'A20150322015059.L3m_MO_CHL_chlor_a_4km.nc';
lat_1 = ncread(ncfile_1,'lat') ;
lon_1 = ncread(ncfile_1,'lon') ;
chlor_a_1 = ncread(ncfile_1,'chlor_a');
[X_1,Y_1] = meshgrid(lon_1,lat_1) ;
xi_1 = linspace(min(lon_1),max(lon_1),1000) ; % Changed here
yi_1 = linspace(min(lat_1),max(lat_1),1000) ; % changed here
[Xi_1,Yi_1] = meshgrid(xi_1,yi_1);
iwant_1 = interp2(X_1,Y_1,chlor_a_1',Xi_1,Yi_1)' ;
figure(1)
pcolor(xi_1,yi_1,iwant_1'); shading interp;
c = colorbar;
cmap = jet(255);
cmap(:,2) = 0;
colormap(cmap)
caxis([0, 5])
ncfile_2 = 'A20160322016060.L3m_MO_CHL_chlor_a_4km.nc';
lat_2 = ncread(ncfile_2,'lat') ;
lon_2 = ncread(ncfile_2,'lon') ;
chlor_a_2 = ncread(ncfile_2,'chlor_a');
[X_2,Y_2] = meshgrid(lon_2,lat_2) ;
xi_2 = linspace(min(lon_2),max(lon_2),1000) ; % Changed here
yi_2 = linspace(min(lat_2),max(lat_2),1000) ; % Changed here
[Xi_2,Yi_2] = meshgrid(xi_2,yi_2);
iwant_2 = interp2(X_2,Y_2,chlor_a_2',Xi_2,Yi_2)' ;
figure(2)
pcolor(xi_2,yi_2,iwant_2'); shading interp;
c = colorbar;
cmap = jet(255);
cmap(:,2) = 0;
colormap(cmap)
caxis([0, 5])
figure(3)
diff = iwant_2-iwant_1;
%M = max(diff, [], 'all');
%M
pcolor(diff'); shading interp;
grid on;
imshow(diff);
imgdiff( 4, 3, : ) = [0 0 0];
mask = sum(imgdiff, 3 ) > 0;
h = imagesc(imgdiff);
h.AlphaData = mask;
%axis([0 30,30 100]);
c = colorbar;
cmap = jet(255);
cmap(:,2) = 0;
colormap(cmap)
caxis([0, 5])
댓글 수: 5
KSSV
2021년 9월 14일
If A is your data matrix; to ingnore values which are <0 and >10; replace them with NaN's using:
idx = A < 0 | A > 10 ; % this will give logical indices
A(idx) = NaN ;
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