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clim_anom_temp.m
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clim_anom_temp.m
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%% let's find all the correlations
clear all;close all; clc
load('Data_Base_sst.mat');
%% Lags
[yr,mo,da,hr]=datevec(double(newtime));
%% climato indx
for ii=1:1:12
indxclim(:,ii)=find(mo==ii);
end
%% climatologias
%B = num2cell(mur,1);
temp_dia=mur(:,1); temp_noche=mur(:,2); temp_prom=mur(:,3);
tam_tp=mur(:,4); tam_tmax=mur(:,5); tam_tmin=mur(:,6);
req_tp=mur(:,7); req_tmax=mur(:,8); reqtmin=mur(:,9);
sr_tp=mur(:,10); sr_tmax=mur(:,11); sr_tmin=mur(:,12);
tam_RA_tp=mur(:,13); req_RA_tp=mur(:,14); sr_RA_tp=mur(:,15);
sst_mur=mur(:,16);
for ij=1:1:12
Temp_dia_clim(ij,:)=nanmean(temp_dia(indxclim(:,ij)));
temp_noche_clim(ij,:)=nanmean(temp_noche(indxclim(:,ij)));
temp_prom_clim(ij,:)=nanmean(temp_prom(indxclim(:,ij)));
tam_tp_clim(ij,:)=nanmean(tam_tp(indxclim(:,ij)));
tam_tmax_clim(ij,:)=nanmean(tam_tmax(indxclim(:,ij)));
tam_tmin_clim(ij,:)=nanmean(tam_tmin(indxclim(:,ij)));
req_tp_clim(ij,:)=nanmean(req_tp(indxclim(:,ij)));
req_tmax_clim(ij,:)=nanmean(req_tmax(indxclim(:,ij)));
reqtmin_clim(ij,:)=nanmean(reqtmin(indxclim(:,ij)));
sr_tp_clim(ij,:)=nanmean(sr_tp(indxclim(:,ij)));
sr_tmax_clim(ij,:)=nanmean(sr_tmax(indxclim(:,ij)));
sr_tmin_clim(ij,:)=nanmean(sr_tmin(indxclim(:,ij)));
tam_RA_tp_clim(ij,:)=nanmean(tam_RA_tp(indxclim(:,ij)));
req_RA_tp_clim(ij,:)=nanmean(req_RA_tp(indxclim(:,ij)));
sr_RA_tp_clim(ij,:)=nanmean(sr_RA_tp(indxclim(:,ij)));
sst_mur_clim(ij,:)=nanmean(sst_mur(indxclim(:,ij)));
end
%% anomalias
yrst=yr(1);
yren=yr(end);
most=1;
moen=12;
moen0=moen;
iter=0;
for iy=yrst:1:yren
if iy>yrst
most=1;
end
if iy==yren
moen=moen0;
else
moen=12;
end
for im=most:1:moen
iter=iter+1;
indx01=find(yr==iy&mo==im);
temp1=temp_dia(indx01);
temp2=temp_noche(indx01);
temp3=temp_prom(indx01);
temp4=tam_tp(indx01);
temp5=tam_tmax(indx01);
temp6=tam_tmin(indx01);
temp7=req_tp(indx01);
temp8=req_tmax(indx01);
temp9=reqtmin(indx01);
temp10=sr_tp(indx01);
temp11=sr_tmax(indx01);
temp12=sr_tmin(indx01);
temp13=tam_RA_tp(indx01);
temp14=req_RA_tp(indx01);
temp15=sr_RA_tp(indx01);
temp16=sst_mur(indx01);
temp_dia_anom(iter,:)=temp1-Temp_dia_clim(im);
temp_noche_anom(iter,:)=temp2-temp_noche_clim(im);
temp_prom_anom(iter,:)=temp3-temp_prom_clim(im);
tam_tp_anom(iter,:)=temp4-tam_tp_clim(im);
tam_tmax_anom(iter,:)=temp5-tam_tmax_clim(im);
tam_tmin_anom(iter,:)=temp6-tam_tmin_clim(im);
req_tp_anom(iter,:)=temp7-req_tp_clim(im);
req_max_anom(iter,:)=temp8-req_tmax_clim(im);
reqtmin_anom(iter,:)=temp9-reqtmin_clim(im);
sr_tp_anom(iter,:)=temp10-sr_tp_clim(im);
sr_tmax_anom(iter,:)=temp11-sr_tmax_clim(im);
sr_tmin_anom(iter,:)=temp12-sr_tmin_clim(im);
tam_RA_tp_anom(iter,:)=temp13-tam_RA_tp_clim(im);
req_RA_tp_anom(iter,:)=temp14-req_RA_tp_clim(im);
sr_RA_tp_anom(iter,:)=temp15-sr_RA_tp_clim(im);
sst_mur_anom(iter,:)=temp16-sst_mur_clim(im);
end
end
%sr_tp=mur(:,10); sr_tmax=mur(:,11); sr_tmin=mur(:,12);
%% cat the anomalies
anom_total=cat(2,temp_dia_anom,temp_noche_anom,temp_prom_anom,tam_tp_anom,tam_tmax_anom,...
tam_tmin_anom,req_tp_anom,req_max_anom,reqtmin_anom,sr_tp_anom,sr_tmax_anom,...
sr_tmin_anom,tam_RA_tp_anom,req_RA_tp_anom,sr_RA_tp_anom,sst_mur_anom);
%%
Tanom=array2table(anom_total);
Tanom.Properties.VariableNames=MUR_temp.Properties.VariableNames;
labels=MUR_temp.Properties.VariableNames;
%%
[R,P]=corrcoef(anom_total,'Rows','complete');
%corrplot(TAm);
isupper = logical(triu(ones(size(R)),1));
R(isupper) = NaN;
P(P>0.1)=NaN;
PP=~isnan(P);
RR=R.*PP;
RR(RR==0)=NaN;
%%
h = heatmap(RR,'MissingDataColor','w','Colormap',cool);
h.XDisplayLabels = labels;
h.YDisplayLabels = labels;
grid off
%% sin pvalue significativo
h = heatmap(R,'MissingDataColor','w','Colormap',jet);
h.XDisplayLabels = labels;
h.YDisplayLabels = labels;
grid off
%% save anomalies
save('Anomalias_temp.mat','newtime','Tanom','anom_total')