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TairFCH4comparison_WTD_Q_FCH4_precipsubplots_ALQLos1_8_2021.m
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TairFCH4comparison_WTD_Q_FCH4_precipsubplots_ALQLos1_8_2021.m
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%% Clear workspace, clear variables, and clear figures
clear all;close all;clc;
load('USLos2020_2019_calcresp.mat')
load('USALQ2020_2019_calcresp.mat')
load('woodruffprecip.mat')
load('dischargevars.mat')
load('aveFCH4.mat')
%% Replace placeholders for missing values with NaN
USLosHH2019.Properties.VariableNames = USLosHH2020.Properties.VariableNames;
USLos = [USLosHH2019;USLosHH2020];
for i= 3:width(USLos)
USLos.(i)(USLos.(i)==-9999) = NaN;
end
USALQ = [USALQHH2019; USALQHH2020];
for i= 3:width(USALQ)
USALQ.(i)(USALQ.(i)==-9999) = NaN;
end
%% Calculate daily averages
% US-Los
daily_CH4Los = dailyaverage2(USLos.FCH4_RF_filled);
dailyCH4Los = daily_CH4Los(:,1);
datesLos = USLos.TIMESTAMP_END(48*daily_CH4Los(:,2));
daily_WTDLos = dailyaverage2(USLos.WTD);
dailyWTDLos = daily_WTDLos(:,1);
daily_GPPLos = dailyaverage2(USLos.GPP_F);
dailyGPPLos = daily_GPPLos(:,1);
dailyNEELos = dailyaverage2(USLos.NEE_F);
dailyNEELos = dailyNEELos(:,1);
dailyTaLos = dailyaverage2(USLos.TA_F_1_1_1);
dailyTaLos = dailyTaLos(:,1);
daily_Rg = dailyaverage2(USLos.SW_IN_1_1_1);
dailyRg = daily_Rg(:,1);
daily_VPD = dailyaverage2(USLos.VPD_F_1_1_1);
dailyVPD = daily_VPD(:,1);
%% US-ALQ
dailyALQ = dailyaverage2(USALQ.FCH4_RF_filled);
dailyFCH4 = dailyALQ(:,1);
dates = dailyALQ(:,2);
dates = USALQ.TIMESTAMP_END(dates.*48);
daily_GPPALQ = dailyaverage2(USALQ.GPP_F);
dailyGPPALQ = daily_GPPALQ(:,1);
dailyNEEALQ = dailyaverage2(USALQ.NEE_F);
dailyNEEALQ = dailyNEEALQ(:,1);
dailyTaALQ = dailyaverage2(USALQ.TA_F);
dailyTaALQ = dailyTaALQ(:,1);
nanmean(dailyTaALQ(year(dates)==2019))
daily_RgALQ = dailyaverage2(USALQ.SW_IN);
dailyRgALQ = daily_RgALQ(:,1);
daily_VPDALQ = dailyaverage2(USALQ.VPD);
dailyVPDALQ = daily_VPDALQ(:,1);
%%
figure()
plot(dates,dailyNEEALQ)
nansum(dailyNEEALQ(year(dates)==2019))
%% Index for the same dates
precip = woodruffprecipS3.Precipitationin*2.54;
Losdischarge = USGSLos.discharge_cfs*0.028316847;% Convert USLos discharge from cfs to m3s (site no 5357335)
nanmean(Losdischarge(year(USGSLos.datetime)==2020))
ALQdischarge = USGSALQ.discharge_cfs*0.028316847;% Convert USALQ discharge from cfs to m3s-1 (site no 5357205)
nanmean(ALQdischarge(year(USGSALQ.datetime)==2019))
%% Plotting
fig = figure();
right_color = [0.6510 0.6510 0.6510];
left_color = [0 0 0];
set(fig,'defaultAxesColorOrder',[left_color; right_color]);
subplot(5,1,1)
yyaxis left
bar(dates,precip)% Convert from in to cm
ylabel('Precip (cm)')
yyaxis right
plot(datesLos,dailyWTDLos,'-','LineWidth',2)
ylabel('WTD (m)')
set(gca,'FontSize',17)
xlim([dates(1) dates(end)])
nanmean(dailyWTDLos(ismember(year(datesLos),2019)))
nanmean(dailyWTDLos(ismember(year(datesLos),2020)))
% left_color = [0.3020 0.7451 0.9333];
right_color = [0.8784 0.4588 0.7176];
% set(fig,'defaultAxesColorOrder',[left_color; right_color]);
subplot(5,1,2)
% yyaxis left
% US-Los
% plot(dates,Losdischarge,'^')
% ylabel('Q (m^3s^{-1})')
yyaxis right
% US-ALQ
plot(dates,ALQdischarge,'o')
ylabel('Q (m^3s^{-1})')
xlim([dates(1) dates(end)])
set(gca,'FontSize',17)
legend('US-Los','US-ALQ','Location','Northwest');
nanmean(Losdischarge(ismember(year(dates),2019)))
nanmean(Losdischarge(ismember(year(dates),2020)))
nanmean(ALQdischarge(ismember(year(dates),2019)))
nanmean(ALQdischarge(ismember(year(dates),2020)))
right_color = [0.9294 0.2235 0.5059];
left_color = [0 0 0];
set(fig,'defaultAxesColorOrder',[left_color; right_color]);
subplot(5,1,3)
yyaxis left
hold on
plot(dates,dailyTaALQ,'-','Color',[0.8784 0.4588 0.7176],'LineWidth',2)
plot(datesLos,dailyTaLos,'-','Color',[0.3020 0.7451 0.9333],'LineWidth',2)
xlim([dates(1) dates(end)])
hold off
ylabel('T_{air} (^{\circ}C)')
box on
set(gca,'FontSize',17)
yyaxis right
plot(dates,USGSALQ.Twater_mean,'-','Color',[0.9294 0.2235 0.5059],'LineWidth',2)
ylabel('T_{stream} (^{\circ}C)')
lgnd = legend('US-ALQ','US-Los','US-ALQ','Location','Northwest','NumColumns',2)
set(lgnd,'color','none');
subplot(5,1,4)
hold on
plot(dates,dailyGPPALQ,'+','Color',[0.8784 0.4588 0.7176])
xlim([dates(1) dates(end)])
plot(datesLos,dailyGPPLos,'s','Color',[0.3020 0.7451 0.9333])
hold off
ylabel('GPP')
box on
set(gca,'FontSize',17)
lgnd = legend('US-ALQ','US-Los','Location','Northwest')
set(lgnd,'color','none');
A = repmat(aveFCH4,2,1);
subplot(5,1,5)
hold on
plot(datesLos,dailyCH4Los,'-','Color',[0.3020 0.7451 0.9333],'LineWidth',2)
plot(dates,A(1:length(dates)),'Color', [ 0.5333 0.8039 0.9216 0.7],'LineWidth',2)
plot(dates,dailyFCH4,'-','Color',[0.8784 0.4588 0.7176],'LineWidth',2)
xlim([dates(1) dates(end)])
hold off
ylabel('FCH_4')% (\etamol CH_4 m^-^2s^-^1)
lgnd = legend('US-Los','US-Los 2014-18','US-ALQ','Location','Northwest');
box on
set(gca,'FontSize',17)
set(lgnd,'color','none');
nanmean(dailyCH4Los(ismember(year(datesLos),2019)))
nanmean(dailyCH4Los(ismember(year(datesLos),2020)))
nanmean(dailyFCH4(ismember(year(datesLos),2019)))
nanmean(dailyFCH4(ismember(year(datesLos),2020)))
%% Statistics
nanvar(USLos.WTD(year(USLos.TIMESTAMP_END)==2019))
nanvar(USLos.WTD(year(USLos.TIMESTAMP_END)==2020))
nanvar(Losdischarge(year(datesLos)==2019))
nanvar(Losdischarge(year(datesLos)==2020))
nanvar(ALQdischarge(year(dates)==2019))
nanvar(ALQdischarge(year(dates)==2020))
range = [min(Losdischarge(year(datesLos)==2019)) max(Losdischarge(year(datesLos)==2019))]
range = [min(Losdischarge(year(datesLos)==2020)) max(Losdischarge(year(datesLos)==2020))]
range = [min(ALQdischarge(year(datesLos)==2019)) max(ALQdischarge(year(datesLos)==2019))]
range = [min(ALQdischarge(year(datesLos)==2020)) max(ALQdischarge(year(datesLos)==2020))]
C = cov(precip,dailyWTDLos,'omitrows')
C = cov(precip,USGSALQ.Twater_mean,'omitrows')
C = cov(precip,dailyTaLos,'omitrows')
C = cov(precip,dailyTaALQ,'omitrows')
C = cov(precip,Losdischarge,'omitrows')
C = cov(precip,ALQdischarge,'omitrows')
[h,p] = ttest2(dailyRg,dailyRgALQ)
[h,p] = ttest2(Losdischarge,ALQdischarge)
[h,p] = ttest2(dailyTaLos,dailyTaALQ)
[h,p] = ttest2(dailyVPD,dailyVPDALQ)
[R,P] = corrcoef(Losdischarge(~isnan(Losdischarge)&~isnan(ALQdischarge)),ALQdischarge(~isnan(Losdischarge)&~isnan(ALQdischarge)))
[R,P] = corrcoef(ALQdischarge(~isnan(ALQdischarge)&~isnan(dailyWTDLos)),dailyWTDLos(~isnan(ALQdischarge)&~isnan(dailyWTDLos)))
[R,P] = corrcoef(dailyTaLos(~isnan(dailyTaLos)&~isnan(dailyTaALQ)),dailyTaALQ(~isnan(dailyTaLos)&~isnan(dailyTaALQ)))
[R,P] = corrcoef(dailyVPD(~isnan(dailyVPD)&~isnan(dailyVPDALQ)),dailyVPDALQ(~isnan(dailyVPD)&~isnan(dailyVPDALQ)))
nanmean(dailyCH4Los)
nanmean(dailyFCH4)
nanmean(dailyCH4Los(year(datesLos)==2019))
nanmean(dailyCH4Los(year(datesLos)==2020))
nanmean(dailyFCH4(year(dates)==2019))
nanmean(dailyFCH4(year(dates)==2020))
max(gramconvertnmolday(dailyCH4Los))
max(gramconvertnmolday(dailyFCH4))
min(gramconvertnmolday(dailyCH4Los))
min(gramconvertnmolday(dailyFCH4))
%% Cumulative FCH4 and NEE 2019
dailyCH4Los19 = dailyCH4Los(year(datesLos)==2019);
cumulativeCH4Los = cumsum(dailyCH4Los19(:,1),'omitnan');
cumulativegC_CH4Los = gramconvertnmolday(cumulativeCH4Los);
stderrorlos = std(cumulativegC_CH4Los)/sqrt(length(cumulativegC_CH4Los))
cumulativegC_CH4Los = gramconvertnmolday(cumulativeCH4Los(end))
dailyFCH419 = dailyFCH4(year(dates)==2019);
cumulativeCH4ALQ = cumsum(dailyFCH419(:,1),'omitnan');
cumulativegC_CH4ALQ = gramconvertnmolday(cumulativeCH4ALQ);
stderroralq = std(cumulativegC_CH4ALQ)/sqrt(length(cumulativegC_CH4ALQ))
cumulativegC_CH4ALQ = gramconvertnmolday(cumulativeCH4ALQ(end))
dailyNEELos19 = dailyNEELos(year(datesLos)==2019);
cumulativeNEELos = cumsum(dailyNEELos19(:,1),'omitnan');
cumulativegC_NEELos = gramconvertday(cumulativeNEELos);
stderrorlos = std(cumulativegC_NEELos)/sqrt(length(cumulativegC_NEELos))
cumulativegC_NEELos = gramconvertday(cumulativeNEELos(end))
dailyNEEALQ19 = dailyNEEALQ(year(dates)==2019);
cumulativeNEEALQ = cumsum(dailyNEEALQ19(:,1),'omitnan');
cumulativegC_NEEALQ = gramconvertday(cumulativeNEEALQ);
stderroralq = std(cumulativegC_NEEALQ)/sqrt(length(cumulativegC_NEEALQ))
cumulativegC_NEEALQ = gramconvertday(cumulativeNEEALQ(end))
%% Cumulative FCH4 and NEE 2020
dailyCH4Los20 = dailyCH4Los(year(datesLos)==2020);
cumulativeCH4Los = cumsum(dailyCH4Los20(:,1),'omitnan');
cumulativegC_CH4Los = gramconvertnmolday(cumulativeCH4Los);
stderrorlos = std(cumulativegC_CH4Los)/sqrt(length(cumulativegC_CH4Los))
cumulativegC_CH4Los = gramconvertnmolday(cumulativeCH4Los(end))
dailyFCH420 = dailyFCH4(year(dates)==2020);
cumulativeCH4ALQ = cumsum(dailyFCH420(:,1),'omitnan');
cumulativegC_CH4ALQ = gramconvertnmolday(cumulativeCH4ALQ);
stderroralq = std(cumulativegC_CH4ALQ)/sqrt(length(cumulativegC_CH4ALQ))
cumulativegC_CH4ALQ = gramconvertnmolday(cumulativeCH4ALQ(end))
dailyNEELos20 = dailyNEELos(year(datesLos)==2020);
cumulativeNEELos = cumsum(dailyNEELos20(:,1),'omitnan');
cumulativegC_NEELos = gramconvertday(cumulativeNEELos);
stderrorlos = std(cumulativegC_NEELos)/sqrt(length(cumulativegC_NEELos))
cumulativegC_NEELos = gramconvertday(cumulativeNEELos(end))
dailyNEEALQ20 = dailyNEEALQ(year(dates)==2020);
cumulativeNEEALQ = cumsum(dailyNEEALQ20(:,1),'omitnan');
cumulativegC_NEEALQ = gramconvertday(cumulativeNEEALQ);
stderroralq = std(cumulativegC_NEEALQ)/sqrt(length(cumulativegC_NEEALQ))
cumulativegC_NEEALQ = gramconvertday(cumulativeNEEALQ(end))