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Step4_SpatialVariationExplorer500m.m
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%% SpatialVariationExplorer.m
% Explore what drives the spatial variations in magnitude of breakpoints,
% and the slope before and after the breakpoint
% Final step to generate the data for spatial
% 500m
clear variables
clc
%% 1. Load all the data
load('/Volumes/XiYangBackUp/Projects/6.CalDrought/PRISMregrid_500m.mat','pptregrid','tmeanregrid','vpdregrid','yearnumber','monthnumber',...
'modlon','modlat','modlatmesh','modlonmesh','PPTseasonmean','PPTseasonstd','Tmseasonmean','Tmseasonstd','VPDseasonmean','VPDseasonstd')
load('/Volumes/XiYangBackUp/Projects/6.CalDrought/CalEVI_2000_2019_500m_BP_all.mat','mag','slope','bp','lonroi','latroi','nobp','bpconf','sigslope')
load('/Volumes/XiYangBackUp/Projects/6.CalDrought/CalEVI_2000_2019_500m_LConly.mat','LC')
modis_file = '/Volumes/XiYangBackUp/Data/2.SatelliteData/2.MODIS/MOD13A1.006_500m_aid0001.nc';
lat = ncread(modis_file,'lat');
lon = ncread(modis_file,'lon');
doy = ncread(modis_file,'time');
datetime_doy = datetime(doy+datenum(2000,1,1),'ConvertFrom','datenum');
years = year(datetime_doy);
load('/Volumes/XiYangBackUp/Projects/6.CalDrought/wtdregrid_500m.mat','wtdregrid')
load('/Volumes/XiYangBackUp/Projects/6.CalDrought/demregrid_500m.mat','demregrid')
load('/Volumes/XiYangBackUp/Projects/6.CalDrought/MonthlyAnomaly_500m.mat','EVIannMean','EVIltmean',...
'PPTann_ano','Tmann_ano','VPDann_ano','PPTannMean','TmannMean','VPDannMean')
load('/Volumes/XiYangBackUp/Projects/6.CalDrought/soilthickness_500m.mat','soilthickness');
load('/Volumes/XiYangBackUp/Projects/6.CalDrought/sawc_500m.mat','sawcregrid','soillatmesh','soilonmesh');
load('/Volumes/XiYangBackUp/Projects/6.CalDrought/sawc200cm_500m.mat','sawcregrid200');
% BFAST results
BP1 = squeeze(bp(:,:,1));
BP2 = squeeze(bp(:,:,2));
slope1 = squeeze(slope(:,:,1));
slope2 = squeeze(slope(:,:,2));
slope3 = squeeze(slope(:,:,3));
sigslope1 = squeeze(sigslope(:,:,1));
sigslope2 = squeeze(sigslope(:,:,2));
sigslope3 = squeeze(sigslope(:,:,3));
mag1 = mag(:,:,1);
mag2 = mag(:,:,2);
bprange = bpconf(:,:,3) - bpconf(:,:,1);
% rotate wtdregrid & demregrid
wtdregrid = wtdregrid';
demregrid = demregrid';
% fire pixels screening
load('/Volumes/XiYangBackUp/Projects/6.CalDrought/modisfire_500m.mat','modfire')
firepixel = modfire > 0;
firepixel = firepixel';
% land cover mask
%years = year(doy+datenum(2000,1,1));
LC1 = squeeze(LC(:,:,17));
% make sure these pixels are always within the group 2000, 2011, and 2018
LCmask_deforestation= (LC(:,:,1) == 1) & (LC(:,:,1) ~= LC(:,:,17));
LCmask = ismember(squeeze(LC(:,:,1)),[1,4,5,6,7,8,9,10]) & ...
ismember(squeeze(LC(:,:,10)),[1,4,5,6,7,8,9,10]) & ...
ismember(squeeze(LC(:,:,17)),[1,4,5,6,7,8,9,10]) & ...
~LCmask_deforestation;
Tmseasonmin = nanmin(Tmseasonmean,[],3);
Tmseasonmin1 = Tmseasonmin';
% %load SPEI12
% load('/Volumes/XiYangBackUp/Projects/6.CalDrought/SPEI12.mat','spei12')
% load('/Volumes/XiYangBackUp/Projects/6.CalDrought/SPEI06.mat','spei06')
% spei12year = reshape((repmat((2000:2016)',1,12))',1,204);
% spei12year = spei12year(1:202);
% spei12mon = reshape((repmat((1:12)',1,17)),1,204);
% spei12mon = spei12mon(1:202);
% spei12(~isfinite(spei12)) = NaN;
% spei06(~isfinite(spei06)) = NaN;
%% 2. GIS files
calboundary = shaperead('usastatehi', 'UseGeoCoords', true,...
'Selector',{@(name) strcmpi(name,'California'), 'Name'});
[XX,YY] = meshgrid(double(lon),double(lat));
in = inpolygon(XX,YY,calboundary.Lon,calboundary.Lat);
%% 3. Screening
BP1(BP1<=0 | BP1>=500) = NaN;
BP2(BP2<=0 | BP2>=500) = NaN;
EVItslength = length(doy)-228+1;
rel_mag1 = mag1./EVIltmean;
slope1_relpercent = slope1.*(BP1*16/365)./EVIltmean;
slope2_relpercent = slope2.*((EVItslength-BP1)*16/365)./EVIltmean;
% Just make those non-BP pixels: if there is no BP, then the slope1 and
% slope2 are the same as slope1 spanning the entire length of time-series
slope1_relpercent(isnan(BP1)) = slope1(isnan(BP1)).*((EVItslength-228+1)*16/365)./EVIltmean(isnan(BP1));
slope1_relpercent(bprange>23) = slope1(bprange>23).*((EVItslength-228+1)*16/365)./EVIltmean(bprange>23);
slope2_relpercent(isnan(BP1)) = slope1(isnan(BP1)).*((EVItslength-228+1)*16/365)./EVIltmean(isnan(BP1));
slope2_relpercent(bprange>23) = slope1(bprange>23).*((EVItslength-228+1)*16/365)./EVIltmean(bprange>23);
LC1 = uint8(LC1);
nobp(~in | firepixel | ~LCmask) = NaN;
BP1(~in | firepixel | ~LCmask) = NaN;
BP2(~in | firepixel | ~LCmask) = NaN;
slope1(~in | firepixel | ~LCmask) = NaN;
slope2(~in | firepixel | ~LCmask) = NaN;
slope3(~in | firepixel | ~LCmask) = NaN;
sigslope1(~in | firepixel | ~LCmask) = NaN;
sigslope2(~in | firepixel | ~LCmask) = NaN;
sigslope3(~in | firepixel | ~LCmask) = NaN;
mag1(~in | firepixel | ~LCmask) = NaN;
mag2(~in | firepixel | ~LCmask) = NaN;
rel_mag1(~in | firepixel | ~LCmask)= NaN;
LC1(~in | firepixel | ~LCmask) = NaN;
LC1(LC1==0) = NaN;
wtdregrid(~in | firepixel | ~LCmask)= NaN;
demregrid(~in | firepixel | ~LCmask)= NaN;
Tmseasonmin1(~in | firepixel | ~LCmask)= NaN;
bprange(~in | firepixel | ~LCmask) = NaN;
%% 4. Calculate anomaly
PPTano = nan(length(modlon),length(modlat));
Tmano = nan(length(modlon),length(modlat));
VPDano = nan(length(modlon),length(modlat));
EVIbp = nan(length(modlon),length(modlat));
EVIbp_ano = nan(length(modlon),length(modlat));
PPTano_2412 = nan(length(modlon),length(modlat));
Tano_2412 = nan(length(modlon),length(modlat));
VPDano_2412 = nan(length(modlon),length(modlat));
PPTano_1206 = nan(length(modlon),length(modlat));
Tano_1206 = nan(length(modlon),length(modlat));
VPDano_1206 = nan(length(modlon),length(modlat));
PPTano_0606 = nan(length(modlon),length(modlat));
Tano_0606 = nan(length(modlon),length(modlat));
VPDano_0606 = nan(length(modlon),length(modlat));
PPTano_0011 = nan(length(modlon),length(modlat));
Tano_0011 = nan(length(modlon),length(modlat));
VPDano_0011 = nan(length(modlon),length(modlat));
PPTano_1201 = nan(length(modlon),length(modlat));
Tano_1201 = nan(length(modlon),length(modlat));
VPDano_1201 = nan(length(modlon),length(modlat));
PPTannual = nan(length(modlon),length(modlat));
Tannual = nan(length(modlon),length(modlat));
VPDannual = nan(length(modlon),length(modlat));
PPTano_duringBP = nan(length(modlon),length(modlat));
Tano_duringBP = nan(length(modlon),length(modlat));
VPDano_duringBP = nan(length(modlon),length(modlat));
PPTlt = nan(length(modlon),length(modlat));
Tmlt = nan(length(modlon),length(modlat));
VPDlt = nan(length(modlon),length(modlat));
PPTano_duringBP2 = nan(length(modlon),length(modlat));
Tano_duringBP2 = nan(length(modlon),length(modlat));
VPDano_duringBP2 = nan(length(modlon),length(modlat));
PPTano_duringBP3 = nan(length(modlon),length(modlat));
Tano_duringBP3 = nan(length(modlon),length(modlat));
VPDano_duringBP3 = nan(length(modlon),length(modlat));
PPTano_duringBP4 = nan(length(modlon),length(modlat));
Tano_duringBP4 = nan(length(modlon),length(modlat));
VPDano_duringBP4 = nan(length(modlon),length(modlat));
PPT_bp_3yr_ano = nan(length(modlon),length(modlat));
Tmp_bp_3yr_ano = nan(length(modlon),length(modlat));
VPD_bp_3yr_ano = nan(length(modlon),length(modlat));
PPT_bp_3yr_dif = nan(length(modlon),length(modlat));
Tmp_bp_3yr_dif = nan(length(modlon),length(modlat));
VPD_bp_3yr_dif = nan(length(modlon),length(modlat));
PPT_post_trend = nan(length(modlon),length(modlat));
Tmp_post_trend = nan(length(modlon),length(modlat));
VPD_post_trend = nan(length(modlon),length(modlat));
PPT_post_trend_1 = nan(length(modlon),length(modlat));
Tmp_post_trend_1 = nan(length(modlon),length(modlat));
VPD_post_trend_1 = nan(length(modlon),length(modlat));
PPT_pre_ano = nan(length(modlon),length(modlat));
Tmp_pre_ano = nan(length(modlon),length(modlat));
VPD_pre_ano = nan(length(modlon),length(modlat));
timelags = [1,3,6,12,24];
pcor_all = nan(7,25);
for i_lags = 4:4
timelag = timelags(i_lags); %month
for ii = 1:length(modlon)
for jj = 1:length(modlat)
if isnan(BP1(jj,ii))
PPTano(ii,jj) = NaN;
Tmano(ii,jj) = NaN;
VPDano(ii,jj) = NaN;
EVIbp(ii,jj) = NaN;
EVIbp_ano(ii,jj) = NaN;
PPTano_duringBP(ii,jj) = NaN;
Tano_duringBP(ii,jj) = NaN;
VPDano_duringBP(ii,jj) = NaN;
PPTlt(ii,jj) = nanmean(PPTannMean(ii,jj,:));
Tmlt(ii,jj) = nanmean(TmannMean(ii,jj,:));
VPDlt(ii,jj) = nanmean(VPDannMean(ii,jj,:));
else
PPTlt(ii,jj) = nanmean(PPTannMean(ii,jj,:));
Tmlt(ii,jj) = nanmean(TmannMean(ii,jj,:));
VPDlt(ii,jj) = nanmean(VPDannMean(ii,jj,:));
bp_tmp = doy(BP1(jj,ii)+228) + datenum(2000,1,1);
bp_tmp = datetime(bp_tmp,'ConvertFrom','datenum');
bp_year= year(bp_tmp);
bp_mon = month(bp_tmp);
time_index = find(yearnumber==bp_year & monthnumber == bp_mon);
if timelag > 0
bp_mon1 = unique(mod(((12+bp_mon-timelag):(12+bp_mon-1))-1,12))+1;
indx = (time_index-timelag):(time_index-1);
else
bp_mon1 = unique(mod(((12+bp_mon):(12+bp_mon-timelag))-1,12))+1;
indx = time_index:(time_index-timelag);
end
for kk = 1:11
PPTtmp(kk)= nanmean(pptregrid(ii,jj,yearnumber==1999+kk & ismember(monthnumber,bp_mon1)));
Tmtmp(kk) = nanmean(tmeanregrid(ii,jj,yearnumber==1999+kk & ismember(monthnumber,bp_mon1)));
VPDtmp(kk) = nanmean(vpdregrid(ii,jj,yearnumber==1999+kk & ismember(monthnumber,bp_mon1)));
end
PPTano(ii,jj) = (nanmean(pptregrid(ii,jj,indx)) - nanmean(PPTseasonmean(ii,jj,bp_mon1)))/nanstd(PPTtmp,0,2);
Tmano(ii,jj) = (nanmean(tmeanregrid(ii,jj,indx)) - nanmean(Tmseasonmean(ii,jj,bp_mon1)))/nanstd(Tmtmp,0,2);
VPDano(ii,jj) = (nanmean(vpdregrid(ii,jj,indx)) - nanmean(VPDseasonmean(ii,jj,bp_mon1)))/nanstd(VPDtmp,0,2);
EVIbp(ii,jj) = EVIannMean(ii,jj,bp_year-2000+1-1);
EVIbp_ano(ii,jj) = (EVIannMean(ii,jj,bp_year-2000+1-1) - nanmean(EVIannMean(ii,jj,1:11)))/nanstd(EVIannMean(ii,jj,1:11),0,3);
PPT_bp_3yr_ano(ii,jj) = mean(PPTann_ano(ii,jj,(bp_year-1999):(bp_year-1999+2)));
Tmp_bp_3yr_ano(ii,jj) = mean(Tmann_ano(ii,jj,(bp_year-1999):(bp_year-1999+2)));
VPD_bp_3yr_ano(ii,jj) = mean(VPDann_ano(ii,jj,(bp_year-1999):(bp_year-1999+2)));
PPT_bp_3yr_dif(ii,jj) = PPTann_ano(ii,jj,(bp_year-1999+2)) - PPTann_ano(ii,jj,(bp_year-1999));
Tmp_bp_3yr_dif(ii,jj) = Tmann_ano(ii,jj,(bp_year-1999+2)) - Tmann_ano(ii,jj,(bp_year-1999));
VPD_bp_3yr_dif(ii,jj) = VPDann_ano(ii,jj,(bp_year-1999+2)) - VPDann_ano(ii,jj,(bp_year-1999));
PPT_post_trend(ii,jj) = (PPTann_ano(ii,jj,20) - PPTann_ano(ii,jj,(bp_year-1999)))/(20-bp_year+1999);
Tmp_post_trend(ii,jj) = (Tmann_ano(ii,jj,20) - Tmann_ano(ii,jj,(bp_year-1999)))/(20-bp_year+1999);
VPD_post_trend(ii,jj) = (VPDann_ano(ii,jj,20) - VPDann_ano(ii,jj,(bp_year-1999)))/(20-bp_year+1999);
PPT_post_trend_1(ii,jj) = (PPTannMean(ii,jj,20) - PPTannMean(ii,jj,(bp_year-1999)))/(20-bp_year+1999);
Tmp_post_trend_1(ii,jj) = (TmannMean(ii,jj,20) - TmannMean(ii,jj,(bp_year-1999)))/(20-bp_year+1999);
VPD_post_trend_1(ii,jj) = (VPDannMean(ii,jj,20) - VPDannMean(ii,jj,(bp_year-1999)))/(20-bp_year+1999);
PPT_pre_ano(ii,jj) = mean(PPTann_ano(ii,jj,(bp_year-1999-1):(bp_year-1999)));
Tmp_pre_ano(ii,jj) = mean(Tmann_ano(ii,jj,(bp_year-1999-1):(bp_year-1999)));
VPD_pre_ano(ii,jj) = mean(VPDann_ano(ii,jj,(bp_year-1999-1):(bp_year-1999)));
uniqyears = unique(yearnumber);
for year_i = 1:length(uniqyears)
PPTannual(ii,jj,year_i) = nanmean(pptregrid(ii,jj,yearnumber==uniqyears(year_i)));
Tannual(ii,jj,year_i) = nanmean(tmeanregrid(ii,jj,yearnumber==uniqyears(year_i)));
VPDannual(ii,jj,year_i) = nanmean(vpdregrid(ii,jj,yearnumber==uniqyears(year_i)));
end
bp_mon2 = unique(mod(((12+bp_mon):(12+bp_mon+2))-1,12))+1;
indx3 = (time_index):(time_index+2);
for kkk = 1:11
PPTtmp2(kkk)= nanmean(pptregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon2)));
Tmtmp2(kkk) = nanmean(tmeanregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon2)));
VPDtmp2(kkk) = nanmean(vpdregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon2)));
end
PPTano_duringBP(ii,jj) = (nanmean(pptregrid(ii,jj,indx3)) - nanmean(PPTseasonmean(ii,jj,bp_mon2)))/nanstd(PPTtmp2,0,2);
Tano_duringBP(ii,jj) = (nanmean(tmeanregrid(ii,jj,indx3)) - nanmean(Tmseasonmean(ii,jj,bp_mon2)))/nanstd(Tmtmp2,0,2);
VPDano_duringBP(ii,jj) = (nanmean(vpdregrid(ii,jj,indx3)) - nanmean(VPDseasonmean(ii,jj,bp_mon2)))/nanstd(VPDtmp2,0,2);
bp_mon3 = unique(mod(((12+bp_mon-3):(12+bp_mon+3))-1,12))+1;
indx4 = (time_index-3):(time_index+3);
for kkk = 1:11
PPTtmp3(kkk)= nanmean(pptregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon3)));
Tmtmp3(kkk) = nanmean(tmeanregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon3)));
VPDtmp3(kkk) = nanmean(vpdregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon3)));
end
PPTano_duringBP2(ii,jj) = (nanmean(pptregrid(ii,jj,indx4)) - nanmean(PPTseasonmean(ii,jj,bp_mon3)))/nanstd(PPTtmp3,0,2);
Tano_duringBP2(ii,jj) = (nanmean(tmeanregrid(ii,jj,indx4)) - nanmean(Tmseasonmean(ii,jj,bp_mon3)))/nanstd(Tmtmp3,0,2);
VPDano_duringBP2(ii,jj) = (nanmean(vpdregrid(ii,jj,indx4)) - nanmean(VPDseasonmean(ii,jj,bp_mon3)))/nanstd(VPDtmp3,0,2);
bp_mon4 = unique(mod(((12+bp_mon-5):(12+bp_mon+6))-1,12))+1;
indx5 = (time_index-5):(time_index+6);
for kkk = 1:11
PPTtmp4(kkk)= nanmean(pptregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon4)));
Tmtmp4(kkk) = nanmean(tmeanregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon4)));
VPDtmp4(kkk) = nanmean(vpdregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon4)));
end
PPTano_duringBP3(ii,jj) = (nanmean(pptregrid(ii,jj,indx5)) - nanmean(PPTseasonmean(ii,jj,bp_mon4)))/nanstd(PPTtmp4,0,2);
Tano_duringBP3(ii,jj) = (nanmean(tmeanregrid(ii,jj,indx5)) - nanmean(Tmseasonmean(ii,jj,bp_mon4)))/nanstd(Tmtmp4,0,2);
VPDano_duringBP3(ii,jj) = (nanmean(vpdregrid(ii,jj,indx5)) - nanmean(VPDseasonmean(ii,jj,bp_mon4)))/nanstd(VPDtmp4,0,2);
PPTano_duringBP4(ii,jj) = (PPTannual(ii,jj,uniqyears==bp_year) - nanmean(PPTannual(ii,jj,:)))/nanstd(PPTannual(ii,jj,:),0,3);
Tano_duringBP4(ii,jj) = (Tannual(ii,jj,uniqyears==bp_year) - nanmean(Tannual(ii,jj,:)))/nanstd(Tannual(ii,jj,:),0,3);
VPDano_duringBP4(ii,jj) = (VPDannual(ii,jj,uniqyears==bp_year) - nanmean(VPDannual(ii,jj,:)))/nanstd(VPDannual(ii,jj,:),0,3);
% AVE_CLIM_ANO
bp_mon5 = unique(mod(((12+bp_mon-24):(12+bp_mon-12))-1,12))+1;
indx6 = (time_index-24):(time_index-12);
for kkk = 1:11
PPTtmp5(kkk)= nanmean(pptregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon5)));
Tmtmp5(kkk) = nanmean(tmeanregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon5)));
VPDtmp5(kkk) = nanmean(vpdregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon5)));
end
PPTano_2412(ii,jj) = (nanmean(pptregrid(ii,jj,indx6)) - nanmean(PPTseasonmean(ii,jj,bp_mon5)))/nanstd(PPTtmp5,0,2);
Tano_2412(ii,jj) = (nanmean(tmeanregrid(ii,jj,indx6)) - nanmean(Tmseasonmean(ii,jj,bp_mon5)))/nanstd(Tmtmp5,0,2);
VPDano_2412(ii,jj) = (nanmean(vpdregrid(ii,jj,indx6)) - nanmean(VPDseasonmean(ii,jj,bp_mon5)))/nanstd(VPDtmp5,0,2);
bp_mon6 = unique(mod(((12+bp_mon-12):(12+bp_mon-6))-1,12))+1;
indx7 = (time_index-12):(time_index-6);
for kkk = 1:11
PPTtmp6(kkk)= nanmean(pptregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon6)));
Tmtmp6(kkk) = nanmean(tmeanregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon6)));
VPDtmp6(kkk) = nanmean(vpdregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon6)));
end
PPTano_1206(ii,jj) = (nanmean(pptregrid(ii,jj,indx7)) - nanmean(PPTseasonmean(ii,jj,bp_mon6)))/nanstd(PPTtmp6,0,2);
Tano_1206(ii,jj) = (nanmean(tmeanregrid(ii,jj,indx7)) - nanmean(Tmseasonmean(ii,jj,bp_mon6)))/nanstd(Tmtmp6,0,2);
VPDano_1206(ii,jj) = (nanmean(vpdregrid(ii,jj,indx7)) - nanmean(VPDseasonmean(ii,jj,bp_mon6)))/nanstd(VPDtmp6,0,2);
bp_mon7 = unique(mod(((12+bp_mon-6):(12+bp_mon+5))-1,12))+1;
indx8 = (time_index-6):(time_index+5);
for kkk = 1:11
PPTtmp7(kkk)= nanmean(pptregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon7)));
Tmtmp7(kkk) = nanmean(tmeanregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon7)));
VPDtmp7(kkk) = nanmean(vpdregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon7)));
end
PPTano_0606(ii,jj) = (nanmean(pptregrid(ii,jj,indx8)) - nanmean(PPTseasonmean(ii,jj,bp_mon7)))/nanstd(PPTtmp7,0,2);
Tano_0606(ii,jj) = (nanmean(tmeanregrid(ii,jj,indx8)) - nanmean(Tmseasonmean(ii,jj,bp_mon7)))/nanstd(Tmtmp7,0,2);
VPDano_0606(ii,jj) = (nanmean(vpdregrid(ii,jj,indx8)) - nanmean(VPDseasonmean(ii,jj,bp_mon7)))/nanstd(VPDtmp7,0,2);
bp_mon8 = unique(mod(((12+bp_mon):(12+bp_mon+11))-1,12))+1;
indx9 = (time_index):(time_index+11);
for kkk = 1:11
PPTtmp8(kkk)= nanmean(pptregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon8)));
Tmtmp8(kkk) = nanmean(tmeanregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon8)));
VPDtmp8(kkk) = nanmean(vpdregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon8)));
end
PPTano_0011(ii,jj) = (nanmean(pptregrid(ii,jj,indx9)) - nanmean(PPTseasonmean(ii,jj,bp_mon8)))/nanstd(PPTtmp8,0,2);
Tano_0011(ii,jj) = (nanmean(tmeanregrid(ii,jj,indx9)) - nanmean(Tmseasonmean(ii,jj,bp_mon8)))/nanstd(Tmtmp8,0,2);
VPDano_0011(ii,jj) = (nanmean(vpdregrid(ii,jj,indx9)) - nanmean(VPDseasonmean(ii,jj,bp_mon8)))/nanstd(VPDtmp8,0,2);
bp_mon9 = unique(mod(((12+bp_mon-12):(12+bp_mon-1))-1,12))+1;
indx10 = (time_index-12):(time_index-1);
for kkk = 1:11
PPTtmp9(kkk)= nanmean(pptregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon9)));
Tmtmp9(kkk) = nanmean(tmeanregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon9)));
VPDtmp9(kkk) = nanmean(vpdregrid(ii,jj,yearnumber==1999+kkk & ismember(monthnumber,bp_mon9)));
end
PPTano_1201(ii,jj) = (nanmean(pptregrid(ii,jj,indx10)) - nanmean(PPTseasonmean(ii,jj,bp_mon9)))/nanstd(PPTtmp9,0,2);
Tano_1201(ii,jj) = (nanmean(tmeanregrid(ii,jj,indx10)) - nanmean(Tmseasonmean(ii,jj,bp_mon9)))/nanstd(Tmtmp9,0,2);
VPDano_1201(ii,jj) = (nanmean(vpdregrid(ii,jj,indx10)) - nanmean(VPDseasonmean(ii,jj,bp_mon9)))/nanstd(VPDtmp9,0,2);
end
end
end
%% 5. Partial regression between BFAST results and PRISM variables
slope11 = slope1';
relmag1 = rel_mag1';
slope22 = slope2';
nobp1 = nobp';
wtdregrid = wtdregrid';
demregrid = demregrid';
BP11 = BP1';
BP22 = BP2';
Tmseasonmin1 = Tmseasonmin1';
bprange1 = bprange';
PPTano2016 = squeeze(PPTann_ano(:,:,17));
Tmano2016 = squeeze(Tmann_ano(:,:,17));
VPDano2016 = squeeze(VPDann_ano(:,:,17));
PPTano2017 = squeeze(PPTann_ano(:,:,18));
Tmano2017 = squeeze(Tmann_ano(:,:,18));
VPDano2017 = squeeze(VPDann_ano(:,:,18));
PPTano2018 = squeeze(PPTann_ano(:,:,19));
Tmano2018 = squeeze(Tmann_ano(:,:,19));
VPDano2018 = squeeze(VPDann_ano(:,:,19));
PPTano1618 = squeeze(nanmean(PPTann_ano(:,:,17:19),3));
Tmano1618 = squeeze(nanmean(Tmann_ano(:,:,17:19),3));
VPDano1618 = squeeze(nanmean(VPDann_ano(:,:,17:19),3));
nobp1(bprange1>23) = 0;
total_relpercent = nan(size(slope1_relpercent));
total_relpercent2016 = nan(size(slope1_relpercent));
total_relpercent(nobp1'==0) = slope1_relpercent(nobp1'==0);
total_relpercent(nobp1'==1) = slope1_relpercent(nobp1'==1) + rel_mag1(nobp1'==1) + slope2_relpercent(nobp1'==1);
total_relpercent(nobp1'==2) = NaN;
total_relpercent2016(nobp1'==0) = slope1_relpercent(nobp1'==0);
total_relpercent2016(nobp1'==1) = slope1_relpercent(nobp1'==1) + rel_mag1(nobp1'==1) + slope2_relpercent(nobp1'==1) .* (389-228-BP1(nobp1'==1))./(length(doy)-228-BP1(nobp1'==1)) * (16/365); %First data point in 2017 is 389
total_relpercent2016(nobp1'==2) = NaN;
slope1_relpercent(~in | firepixel | ~LCmask) = NaN;
slope2_relpercent(~in | firepixel | ~LCmask) = NaN;
total_relpercent(~in | firepixel | ~LCmask) = NaN;
total_relpercent2016(~in | firepixel | ~LCmask) = NaN;
slope1_relpercent1 = slope1_relpercent';
slope2_relpercent1 = slope2_relpercent';
total_relpercent1 = total_relpercent';
total_relpercent2016_1 = total_relpercent2016';
usamap('California')
h2 = geoshow(calboundary,'DisplayType','polygon','FaceAlpha',0);
h1 = pcolorm(lat,lon,EVIltmean);
caxis([0, 1])
uistack(h1,'bottom')
colormap(brewermap([],'RdBu'))
%colormap(flipud(brewermap([],'RdBu')))
colorbar
%% 6. Stepwise regression
LC11 = LC1';
nonnanidx = ~isnan(PPTano(:)) & ~isnan(Tmano(:)) & ~isnan(VPDano(:)) & ~isnan(wtdregrid(:)) & ~isnan(LC11(:)) & ~isnan(BP11(:)) & ~isnan(EVIltmean(:)) & ~isnan(EVIbp(:)) & ~isnan(EVIbp_ano(:))...
& (slope1_relpercent1(:)>-5 & slope1_relpercent1(:)<5) ...
& (slope2_relpercent1(:)>-5 & slope2_relpercent1(:)<5) ...
& (relmag1(:)>-5 & relmag1(:)<5) ...
& (total_relpercent1(:)>-5 & total_relpercent1(:)<5);
EVIdeviation = PPTano2016; % just put a placeholder here for EVIdeviation.
XX = [PPTano(:),Tmano(:),VPDano(:),PPTano_duringBP(:),Tano_duringBP(:),VPDano_duringBP(:),PPTano_duringBP3(:),Tano_duringBP3(:),VPDano_duringBP3(:),PPTano_duringBP4(:),Tano_duringBP4(:),VPDano_duringBP4(:),...
EVIbp_ano(:),double(LC11(:)),wtdregrid(:),EVIbp(:),EVIltmean(:),sawcregrid(:),sawcregrid200(:),demregrid(:),...
PPTlt(:),Tmlt(:),VPDlt(:),soilthickness(:), Tmseasonmin1(:),PPTano_duringBP2(:),Tano_duringBP2(:),VPDano_duringBP2(:),...
PPTano_2412(:),Tano_2412(:),VPDano_2412(:),PPTano_1206(:),Tano_1206(:),VPDano_1206(:),PPTano_0606(:),Tano_0606(:),VPDano_0606(:),PPTano_0011(:),Tano_0011(:),VPDano_0011(:),PPTano_1201(:),Tano_1201(:),VPDano_1201(:),...
EVIdeviation(:),PPTano2016(:),Tmano2016(:),VPDano2016(:),PPTano2017(:),Tmano2017(:),VPDano2017(:),PPTano2018(:),Tmano2018(:),...
VPDano2018(:),PPTano1618(:),Tmano1618(:),VPDano1618(:),PPT_bp_3yr_ano(:),Tmp_bp_3yr_ano(:),VPD_bp_3yr_ano(:), ...
PPT_bp_3yr_dif(:),Tmp_bp_3yr_dif(:),VPD_bp_3yr_dif(:),PPT_post_trend(:),Tmp_post_trend(:),VPD_post_trend(:), ...
PPT_pre_ano(:),Tmp_pre_ano(:),VPD_pre_ano(:),PPT_post_trend_1(:),Tmp_post_trend_1(:),VPD_post_trend_1(:)];
YY = relmag1(:);
All = [XX(nonnanidx,:),YY(nonnanidx),slope11(nonnanidx),slope1_relpercent1(nonnanidx),slope2_relpercent1(nonnanidx), ...
double(doy(BP11(nonnanidx)+228) + datenum(2000,1,1)),double(doy(BP22(nonnanidx)+228) + datenum(2000,1,1)),bprange1(nonnanidx),nobp1(nonnanidx),total_relpercent1(nonnanidx), ...
sigslope1(nonnanidx),sigslope2(nonnanidx),sigslope3(nonnanidx)];
All = double(All);
All1 = [XX(:,:),YY(:),slope11(:),slope1_relpercent1(:),slope2_relpercent1(:),bprange1(:),nobp1(:),total_relpercent1(:)];
save('/Volumes/XiYangBackUp/Projects/6.CalDrought/spatialvariation_12192020.mat','-v7.3')
save('/Volumes/XiYangBackUp/Projects/6.CalDrought/spatialvariation_12192020_1.mat','All')
end