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plotHALOquicklooks.m
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function plotHALOquicklooks(site,DATES,processlev,measmode,typeof)
% Check inputs
if nargin < 4
error(sprintf(['At least inputs ''site'', ''DATE'', ''processlev'', and ''measmode'''...
' are required for the products: \n''TKE'', ''wstats'', ''wstats4precipfilter'', ''sigma2vad''',...
'''windshear'', ''LLJ'', ''ABLclassification'', ''cloud''']))
end
if nargin == 4 && (strcmp(processlev,'product') && any(strcmp(measmode,{'TKE',...
'wstats','wstats4precipfilter','sigma2vad','windshear','LLJ','ABLclassification','cloud'})) || ...
strcmp(processlev,'background'))
if ~ischar(site)
error('The 1st input ''site'' must be a string.')
end
if length(DATES)>2
error('''DATES'' can have max. length of 2.')
elseif length(DATES)==1
DATEstart = DATES; DATEend = DATES;
elseif ~isnumeric(DATES) || (length(num2str(DATES(1)))~=8 && ...
length(num2str(DATES(2)))~=8)
error(['The value(s) in the second input ''DATES'' must be' ...
' numerical date(s) in YYYYMMDD format.'])
else
DATEstart = DATES(1); DATEend = DATES(2);
end
if ~ischar(processlev) || ~any(strcmp(processlev,{'original','corrected','calibrated','background','product'}))
error(['The 3rd input ''processlev'' must be a string and can be:'...
' ''original'', ''corrected'', ''calibrated'', ''background'', or ''product''.'])
end
if ~ischar(measmode) || ~any(strcmp(measmode,{'stare','vad','dbs','rhi','custom','co','windvad','winddbs',...
'txt','wstats','wstats4precipfilter','TKE','sigma2vad','windshear','LLJ','ABLclassification','cloud'}))
error(sprintf(['The 4th input ''measmode'' must be a string and can be:\n'...
'''stare'',''vad'',''dbs'',''rhi'',''co'',''custom'',''windvad'',''winddbs'',''txt'',''wstats''\n'...
'''wstats4precipfilter'',''TKE'',''sigma2vad'',''windshear'',''LLJ'',''ABLclassification'',''cloud''.']))
end
end
if nargin < 5 && (~strcmp(processlev,'product') && ~any(strcmp(measmode,{'TKE',...
'wstats','wstats4precipfilter','sigma2vad','windshear','LLJ','ABLclassification','cloud'})) && ...
~strcmp(processlev,'background'))
error(sprintf(['Inputs ''site'', ''DATE'', ''processlev'', ''measmode'', and ''typeof'''...
' are required for ANY OTHER products than: \n''TKE'', ''wstats'', ''wstats4precipfilter'', ''sigma2vad'','...
' ''windshear'', ''LLJ'', ''ABLclassification'', ''cloud''']))
end
if nargin == 4 && (~strcmp(processlev,'product') && ~any(strcmp(measmode,{'TKE',...
'wstats','wstats4precipfilter','sigma2vad','windshear','LLJ','ABLclassification','cloud'})) && ...
~strcmp(processlev,'background'))
error(sprintf(['Inputs ''site'', ''DATE'', ''processlev'', ''measmode'', and ''typeof'''...
' are required for ANY OTHER products than: \n''TKE'', ''wstats'', ''wstats4precipfilter'', ''sigma2vad'','...
' ''windshear'', ''LLJ'', ''ABLclassification'', ''cloud''']))
else
if ~ischar(site)
error('The 1st input ''site'' must be a string.')
end
if length(DATES)>2
error('''DATES'' can have max. length of 2.')
elseif length(DATES)==1
DATEstart = DATES; DATEend = DATES;
elseif ~isnumeric(DATES) || (length(num2str(DATES(1)))~=8 && ...
length(num2str(DATES(2)))~=8)
error(['The value(s) in the second input ''DATES'' must be' ...
' numerical date(s) in YYYYMMDD format.'])
else
DATEstart = DATES(1); DATEend = DATES(2);
end
if ~ischar(processlev) || ~any(strcmp(processlev,{'original','corrected','calibrated','background','product'}))
error(['The 3rd input ''processlev'' must be a string and can be:'...
' ''original'', ''corrected'', ''calibrated'', ''background'', or ''product''.'])
end
if ~ischar(measmode) || ~any(strcmp(measmode,{'stare','vad','dbs','rhi','co','custom','windvad','winddbs',...
'txt','wstats','wstats4precipfilter','TKE','sigma2vad','windshear','LLJ','ABLclassification','cloud'}))
error(sprintf(['The 4th input ''measmode'' must be a string and can be:\n'...
'''stare'',''vad'',''rhi'',''dbs'',''co'',''custom'',''windvad'',''winddbs'',''txt'',''wstats''\n'...
'''wstats4precipfilter'',''TKE'',''sigma2vad'',''windshear'',''LLJ'',''ABLclassification'',''cloud''.']))
end
end
% Use datenum to accommodate leap years etc.
for DATEi = datenum(num2str(DATEstart),'yyyymmdd'):...
datenum(num2str(DATEend),'yyyymmdd')
% Convert date into required formats
thedate = datestr(DATEi,'yyyymmdd');
DATE = str2double(thedate);
if exist('typeof','var') == 1
[dirto,files] = getHALOfileList(site,DATE,processlev,measmode,typeof);
else
[dirto,files] = getHALOfileList(site,DATE,processlev,measmode);
end
if isempty(files), continue; end
% Get default and site/unit/period specific parameters
C = getconfig(site,DATE);
data = load_nc_struct(fullfile([dirto files{1}]));
switch processlev
case 'calibrated'
switch measmode
case 'stare'
switch typeof
case 'co'
hf = figure; hf.Units = 'centimeters'; hf.Position = [.5 2 25 10];
hf.Color = 'white'; hf.Visible = 'off';
sp1 = subplot(321);
imagesc(data.time,data.range/1000,data.signal0'); axis([0 24 0 11]); shading flat;
set(gca,'YDir','normal','Ytick',0:2:10,'XTick',0:3:24,'Units',...
'centimeters','Position',[1 7.3 11 2.2],'Color',[.75 .75 .75]);
caxis([.995 1.01]); colormap(sp1,chilljet);
cb = colorbar; cb.Label.String = 'SNR+1'; text(0,12,'uncorrected signal');
ax1 = get(gca,'Position'); cb.Units = 'centimeters'; cb.Position(3) = .25;
cb.Position(1) = 10.3; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)')
sp2 = subplot(322);
imagesc(data.time,data.range/1000,data.signal'); axis([0 24 0 11]); shading flat;
set(gca,'YDir','normal','Ytick',0:2:10,'XTick',0:3:24,'Units',...
'centimeters','Position',[13.5 7.3 11 2.2],'Color',[.75 .75 .75]);
caxis([.995 1.01]); colormap(sp2,chilljet);
cb = colorbar; cb.Label.String = 'SNR+1'; text(0,12,'corrected signal')
ax1 = get(gca,'Position'); cb.Units = 'centimeters'; cb.Position(3) = .25;
cb.Position(1) = 22.8; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)')
X_out1 = [];
sp3 = subplot(323);
imagesc(data.time,data.range/1000,real(log10(data.beta_raw))'); axis([0 24 0 11]); shading flat;
set(gca,'YDir','normal','Ytick',0:2:10,'XTick',0:3:24,'Units',...
'centimeters','Position',[1 4.2 11 2.2],'Color',[.75 .75 .75]);
caxis([-7.1 -4]); colormap(sp3,chilljet);
cb = colorbar; cb.Label.String = 'm-1 sr-1'; text(0,12,'beta');
cb.Ticks = -8:-3; cb.TickLabels = [repmat('10^{',length(cb.Ticks(:)),1), ...
num2str(cb.Ticks(:)) repmat('}',length(cb.Ticks(:)),1)];
ax1 = get(gca,'Position'); cb.Units = 'centimeters'; cb.Position(3) = .25;
cb.Position(1) = 10.3; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)')
X_out1 = [];
sp4 = subplot(324);
imagesc(data.time,data.range/1000,data.beta_error'); axis([0 24 0 11]); shading flat;
set(gca,'YDir','normal','Ytick',0:2:10,'XTick',0:3:24,'Units',...
'centimeters','Position',[13.5 4.2 11 2.2],'Color',[.75 .75 .75]);
caxis([0 1]); colormap(sp4,chilljet);
cb = colorbar; cb.Label.String = 'Fraction'; text(0,12,'beta error')
ax1 = get(gca,'Position'); cb.Units = 'centimeters'; cb.Position(3) = .25;
cb.Position(1) = 22.8; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)')
X_out1 = [];
sp5 = subplot(325);
imagesc(data.time,data.range/1000,data.v_raw'); axis([0 24 0 11]); shading flat;
set(gca,'YDir','normal','Ytick',0:2:10,'XTick',0:3:24,'Units',...
'centimeters','Position',[1 1.1 11 2.2],'Color',[.75 .75 .75]);
caxis([-1.5 1.5]); colormap(sp5,cmocean('balance'));
cb = colorbar; cb.Label.String = 'm s-1'; text(0,12,'vertical velocity')
ax1 = get(gca,'Position'); cb.Ticks = -1.5:.5:1.5; cb.Units = 'centimeters'; cb.Position(3) = .25;
cb.Position(1) = 10.3; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)'); xlabel('Time UTC')
X_out1 = [];
sp6 = subplot(326);
imagesc(data.time,data.range/1000,data.v_error'); axis([0 24 0 11]); shading flat;
set(gca,'YDir','normal','Ytick',0:2:10,'XTick',0:3:24,'Units',...
'centimeters','Position',[13.5 1.1 11 2.2],'Color',[.75 .75 .75]);
caxis([0 .5]); colormap(sp6,chilljet);
cb = colorbar; cb.Label.String = 'm s-1'; text(0,12,'vertical velocity error')
ax1 = get(gca,'Position'); cb.Units = 'centimeters'; cb.Position(3) = .25;
cb.Position(1) = 22.8; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)'); xlabel('Time UTC')
[dir_out,~] = getHALOfileList(site,DATE,processlev,measmode,typeof);
X_out1 = [];
export_fig('-png','-m2',sprintf(['%s%s_%s_halo-doppler-lidar-' num2str(C.halo_unit_id) ...
'-%s-%s.png'], dir_out,num2str(DATE),site,measmode,typeof))
close(hf)
otherwise
continue
end
otherwise
continue
end
case 'product'
switch measmode
case 'wstats'
beta_mean = data.beta_mean_3min;
snr_mean = data.signal_mean_3min;
velo_mean = data.radial_velocity_mean_3min;
velo_var = data.radial_velocity_variance_3min;
if isfield(data,'radial_velocity_skewness_60min')
velo_skewn = data.radial_velocity_skewness_60min;
velo_kurto = data.radial_velocity_kurtosis_60min;
wstats_time = data.time_60min;
else
velo_skewn = data.radial_velocity_skewness_30min;
velo_kurto = data.radial_velocity_kurtosis_30min;
wstats_time = data.time_30min;
end
%% Create a cleaning filter based what field are available
%fnames = fieldnames(data);
%switch ~isempty(strmatch('signal_instrumental_precision_variance_',fnames))
% case 1
% condnan = ...
% 10*real(log10(data.signal_mean_3min-1)) < -23 | ...
% isnan(data.signal_mean_3min) | ...
% real(log10(data.signal_instrumental_precision_variance_3min)) > 0 | ...
% data.nsamples_3min < round(max(data.nsamples_3min(:))*.66);
% case 0
% condnan = ...
% 10*real(log10(data.signal_mean_3min-1)) < -23 | ...
% isnan(data.signal_mean_3min) | ...
% data.nsamples_3min < round(max(data.nsamples_3min(:))*.66);
%end
%beta_mean(condnan) = nan;
%snr_var(condnan) = nan;
%velo_mean(condnan) = nan;
%velo_var(condnan) = nan;
%condnan = 10*real(log10(data.signal_mean_60min-1))<-20 | ...
% isnan(data.signal_mean_60min) | ...
% data.radial_velocity_mean_error_60min > .33;
%velo_skewn(condnan) = nan;
%velo_kurto(condnan) = nan;
hf = figure; hf.Units = 'centimeters'; hf.Position = [.5 2 25 10];
hf.Color = 'white'; hf.Visible = 'off';
sp1 = subplot(321);
pcolor(data.time_3min,data.height/1000,real(log10(beta_mean))'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[1 7.3 11 2.2]);
caxis([-7 -4]); colormap(sp1,chilljet); text(0,3.35,'beta mean');
cb = colorbar; cb.Label.String = 'm-1 sr-1'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Ticks = -7:-4; cb.TickLabels = [repmat('10^{',length(cb.Ticks(:)),1), ...
num2str(cb.Ticks(:)) repmat('}',length(cb.Ticks(:)),1)];
cb.Position(3) = .25; cb.Position(1) = 10.3; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)');
set(gca,'Color',[.5 .5 .5])
sp2 = subplot(322);
pcolor(data.time_3min,data.height/1000,snr_mean'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[13.5 7.3 11 2.2]);
caxis([0.995 1.01]); colormap(sp2,chilljet); text(0,3.35,'signal mean')
cb = colorbar; cb.Label.String = 'SNR+1'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 22.8; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
cb.Ticks = .995:.005:1.01; ylabel('Height (km)');
set(gca,'Color',[.5 .5 .5])
sp3 = subplot(323);
pcolor(data.time_3min,data.height/1000,velo_mean'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[1 4.2 11 2.2]);
caxis([-3 3]); colormap(sp3,cmocean('balance')); text(0,3.35,'velocity mean');
cb = colorbar; cb.Label.String = 'm s-1'; cb.Ticks = -3:1:3; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 10.3; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)')
set(gca,'Color',[.5 .5 .5])
sp4 = subplot(324);
pcolor(data.time_3min,data.height/1000,real(log10(velo_var))'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[13.5 4.2 11 2.2]);
caxis([-3 1]); colormap(sp4,chilljet); text(0,3.35,'velocity variance')
cb = colorbar; cb.Label.String = 'm2 s-2'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 22.8; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
cb.Ticks = -3:1; cb.TickLabels = [repmat('10^{',length(cb.Ticks(:)),1), ...
num2str(cb.Ticks(:)) repmat('}',length(cb.Ticks(:)),1)];
ylabel('Height (km)')
set(gca,'Color',[.5 .5 .5])
sp5 = subplot(325);
pcolor(wstats_time,data.height/1000,velo_skewn'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[1 1.1 11 2.2]);
caxis([-2 2]); colormap(sp5,cmocean('balance')); text(0,3.35,'velocity skewness')
cb = colorbar; cb.Label.String = '-'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 10.3; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)'); xlabel('Time UTC'); cb.Ticks = -2:1:2;
set(gca,'Color',[.5 .5 .5])
sp6 = subplot(326);
pcolor(wstats_time,data.height/1000,velo_kurto'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[13.5 1.1 11 2.2]);
caxis([-4 6]); colormap(sp6,chilljet); text(0,3.35,'velocity kurtosis')
cb = colorbar; cb.Label.String = '-'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 22.8; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)'); xlabel('Time UTC')
set(gca,'Color',[.5 .5 .5])
if exist('typeof','var') == 1
[dir_out,~] = getHALOfileList(site,DATE,processlev,measmode,typeof);
export_fig('-png',sprintf(['%s%s_%s_halo-doppler-lidar-' num2str(C.halo_unit_id) ...
'-%s-%s.png'], dir_out,num2str(DATE),site,measmode,typeof))
else
[dir_out,~] = getHALOfileList(site,DATE,processlev,measmode);
export_fig('-png','-m2',sprintf(['%s%s_%s_halo-doppler-lidar-' num2str(C.halo_unit_id) ...
'-%s.png'], dir_out,num2str(DATE),site,measmode))
end
close(hf)
case 'TKE'
[dirsnr,filessnr] = getHALOfileList(site,DATE,'product' ,'wstats');
wstats = load_nc_struct(fullfile([dirsnr filessnr{1}]));
epsilon = data.epsilon_3min;
epsilon_error = data.epsilon_error_3min;
L = data.L_3min;
L1 = data.L1_3min;
velovar_error = wstats.radial_velocity_simple_variance_error_3min;
velo_var = wstats.radial_velocity_simple_variance_3min - wstats.radial_velocity_instrumental_precision_variance_3min;
velo_var(velo_var<0)=nan;
cond = [];
%10*real(log10(wstats.signal_mean_3min-1))<-32 | ...
%isnan(wstats.signal_mean_3min);% | ...
% wstats.radial_velocity_mean_error_3min > .33;
epsilon(cond) = nan;
epsilon_error(cond) = nan;
L(cond) = nan;
L1(cond) = nan;
velovar_error(cond) = nan;
velo_var(cond) = nan;
hf = figure; hf.Units = 'centimeters'; hf.Position = [.5 2 25 10];
hf.Color = 'white'; hf.Visible = 'off';
sp1 = subplot(321);
pcolor(data.time_3min,data.height/1000,real(log10(epsilon))'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[1 7.3 11 2.2],'Color',rgb('DarkGray'));
caxis([-7 -1]); colormap(sp1,morgenstemning); text(0,3.35,'epsilon');
cb = colorbar; cb.Label.String = 'm2 s-3'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Ticks = -7:-1; cb.TickLabels = [repmat('10^{',length(cb.Ticks(:)),1), ...
num2str(cb.Ticks(:)) repmat('}',length(cb.Ticks(:)),1)];
cb.Position(3) = .25; cb.Position(1) = 10.2; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)')
sp2 = subplot(322);
pcolor(data.time_3min,data.height/1000,epsilon_error'*100); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[13.5 7.3 11 2.2],'Color',rgb('DarkGray'));
caxis([0 300]); colormap(sp2,cmap_darkviolet_to_brickred); text(0,3.35,'epsilon error')
cb = colorbar; cb.Label.String = '%'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 22.7; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)')
sp3 = subplot(323);
pcolor(data.time_3min,data.height/1000,real(log10(L))'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[1 4.2 11 2.2],'Color',rgb('DarkGray'));
caxis([2 4]); colormap(sp3,cmap_darkviolet_to_brickred); text(0,3.35,'L');
cb = colorbar; cb.Label.String = 'm'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 10.2; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
cb.Ticks = 2:4; cb.TickLabels = [repmat('10^{',length(cb.Ticks(:)),1), ...
num2str(cb.Ticks(:)) repmat('}',length(cb.Ticks(:)),1)];
ylabel('Height (km)')
sp4 = subplot(324);
pcolor(data.time_3min,data.height/1000,real(log10(L1))'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[13.5 4.2 11 2.2],'Color',rgb('DarkGray'));
caxis([1 3]); colormap(sp4,cmap_darkviolet_to_brickred); text(0,3.35,'L1')
cb = colorbar; cb.Label.String = 'm'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 22.7; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
cb.Ticks = 1:3; cb.TickLabels = [repmat('10^{',length(cb.Ticks(:)),1), ...
num2str(cb.Ticks(:)) repmat('}',length(cb.Ticks(:)),1)];
ylabel('Height (km)')
sp5 = subplot(325);
pcolor(data.time_3min,data.height/1000,real(log10(velo_var))'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[1 1.1 11 2.2],'Color',rgb('DarkGray'));
caxis([-4 1]); colormap(sp5,cmap_darkviolet_to_brickred); text(0,3.35,'velocity variance')
cb = colorbar; cb.Label.String = 'm2 s-2'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 10.2; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
cb.Ticks = -4:1; cb.TickLabels = [repmat('10^{',length(cb.Ticks(:)),1), ...
num2str(cb.Ticks(:)) repmat('}',length(cb.Ticks(:)),1)];
ylabel('Height (km)')
sp6 = subplot(326);
pcolor(wstats.time_3min,wstats.height/1000,real(log10(velovar_error))'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[13.5 1.1 11 2.2],'Color',rgb('DarkGray'));
caxis([-3 0]); colormap(sp6,cmap_darkviolet_to_brickred); text(0,3.35,'velocity variance error')
cb = colorbar; cb.Label.String = 'm2 s-2'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 22.7; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)'); xlabel('Time UTC')
[dir_out,~] = getHALOfileList(site,DATE,processlev,measmode);
export_fig('-png','-m2',sprintf(['%s%s_%s_halo-doppler-lidar-' num2str(C.halo_unit_id) ...
'-%s.png'], dir_out,num2str(DATE),site,measmode))
close(hf)
case 'windshear'
[dirto,files] = getHALOfileList(site,DATE,'product','windshear');
data = load_nc_struct(fullfile([dirto files{1}]));
%
windhsear = data.vector_wind_shear_3min;
windhsear_e = data.vector_wind_shear_error_3min;
hf = figure; hf.Units = 'centimeters'; hf.Position = [.5 2 25 10];
hf.Color = 'white'; hf.Visible = 'off';
sp1 = subplot(321);
pcolor(data.time_3min,data.height/1000,((windhsear))'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[1 7.3 11 2.2]);
caxis([0 0.06]); colormap(sp1,cmocean('thermal')); text(0,3.35,'vector wind shear');
cb = colorbar; cb.Label.String = 's-1'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Ticks = 0:0.01:0.06;
% cb.TickLabels = [repmat('10^{',length(cb.Ticks(:)),1), ...
% num2str(cb.Ticks(:)) repmat('}',length(cb.Ticks(:)),1)];
cb.Position(3) = .25; cb.Position(1) = 10.2; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
sp1 = subplot(322);
pcolor(data.time_3min,data.height/1000,((windhsear_e))'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[1 4.2 11 2.2]);
caxis([0 0.01]); colormap(sp1,cmocean('thermal')); text(0,3.35,'vector wind shear error');
cb = colorbar; cb.Label.String = 's-1'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Ticks = 0:0.01:0.06;
% cb.TickLabels = [repmat('10^{',length(cb.Ticks(:)),1), ...
% num2str(cb.Ticks(:)) repmat('}',length(cb.Ticks(:)),1)];
cb.Position(3) = .25; cb.Position(1) = 10.2; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
[dir_out,~] = getHALOfileList(site,DATE,processlev,measmode);
export_fig('-png','-m2',sprintf(['%s%s_%s_halo-doppler-lidar-' num2str(C.halo_unit_id) ...
'-%s.png'], dir_out,num2str(DATE),site,measmode))
close(hf)
case 'ABLclassification'
[dir_bl,files_bl] = getHALOfileList(site,DATE,'product' ,'ABLclassification');
[bl,blatt] = load_nc_struct(fullfile([dir_bl files_bl{1}]));
TKEconnected = double(bl.turbulence_coupling_3min);
TKEconnected(TKEconnected==0) = nan;
BLclass = double(bl.bl_classification_3min);
BLclass(BLclass==0) = nan;
cmap_tkecw = [blatt.turbulence_coupling_3min.legend_key_red;...
blatt.turbulence_coupling_3min.legend_key_green;...
blatt.turbulence_coupling_3min.legend_key_blue]';
cmap_blc = [blatt.bl_classification_3min.legend_key_red;...
blatt.bl_classification_3min.legend_key_green;...
blatt.bl_classification_3min.legend_key_blue]';
hf = figure; hf.Units = 'centimeters'; hf.Position = [.5 2 25 10];
hf.Color = 'white'; hf.Visible = 'off';
sp1 = subplot(321);
pcolor(bl.time_3min,bl.height/1000,TKEconnected'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[1 7.3 11 2.2]);
caxis([0 7]); colormap(sp1,cmap_tkecw); text(0,3.35,'Turbulence coupling');
cb = colorbar; cb.Ticks = .5:6.5; cb.Units = 'centimeters';
cb.TickLabels = sprintf(blatt.turbulence_coupling_3min.definition); cb.FontSize = 8; pause(.5); ax1 = get(gca,'Position');
cb.Position(3) = .25; cb.Position(1) = 10.2; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)');
sp3 = subplot(323);
pcolor(bl.time_3min,bl.height/1000,BLclass'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[1 4.2 11 2.2]);
caxis([0 10]); colormap(sp3,cmap_blc); text(0,3.35,'Boundary layer classification')
cb = colorbar; cb.Ticks = .5:9.5; cb.Units = 'centimeters';
cb.TickLabels = sprintf(blatt.bl_classification_3min.definition); cb.FontSize = 8; pause(.5); ax1 = get(gca,'Position');
cb.Position(3) = .25; cb.Position(1) = 10.2; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)'); xlabel('Time UTC'); pause(.1)
[dir_out,~] = getHALOfileList(site,DATE,processlev,measmode);
export_fig('-png','-m2',sprintf(['%s%s_%s_halo-doppler-lidar-' num2str(C.halo_unit_id) ...
'-%s.png'], dir_out,num2str(DATE),site,measmode))
close(hf)
case 'windvad'
[dirt,files] = getHALOfileList(site,DATE,'product',measmode,typeof);
[data] = load_nc_struct(fullfile([dirt files{1}]));
hf = figure; hf.Units = 'centimeters'; hf.Position = [.5 2 25 10];
hf.Color = 'white'; hf.Visible = 'off';
snr = data.mean_snr;
ws = data.wind_speed;
wd = data.wind_direction;
ws_e = data.wind_speed_error;
wd_e = data.wind_direction_error;
w = data.w;
sp1 = subplot(321);
pcolor(data.time,data.height/1000,ws'); axis([0 24 0 4]); shading flat
set(gca,'Ytick',0:4,'XTick',0:3:24,'Units','centimeters','Position',[1 7.3 11 2.2],'Color',rgb('DarkGray'));
caxis([0 20]); colormap(sp1,cmocean('thermal')); text(0,4.45,'Wind speed');
cb = colorbar; cb.Label.String = 'm s-1'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Ticks = 0:5:20; cb.Position(3) = .25; cb.Position(1) = 10.3; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)');
sp2 = subplot(322);
pcolor(data.time,data.height/1000,ws_e'); axis([0 24 0 4]); shading flat
set(gca,'Ytick',0:4,'XTick',0:3:24,'Units','centimeters','Position',[13.5 7.3 11 2.2],'Color',rgb('DarkGray'));
caxis([0 3]); colormap(sp2,cmocean('thermal')); text(0,4.45,'Wind speed error')
cb = colorbar; cb.Ticks = 0:.5:10; cb.Label.String = 'm s-1'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 22.8; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)')
sp3 = subplot(323);
pcolor(data.time,data.height/1000,wd'); axis([0 24 0 4]); shading flat
set(gca,'Ytick',0:4,'XTick',0:3:24,'Units','centimeters','Position',[1 4.2 11 2.2],'Color',rgb('DarkGray'));
caxis([0 360]); colormap(sp3,colorcet('C8')); text(0,4.45,'Wind direction');
cb = colorbar; cb.Label.String = 'degrees'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 10.3; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
cb.Ticks = 0:90:360;
ylabel('Height (km)')
sp4 = subplot(324);
pcolor(data.time,data.height/1000,wd_e'); axis([0 24 0 4]); shading flat
set(gca,'Ytick',0:4,'XTick',0:3:24,'Units','centimeters','Position',[13.5 4.2 11 2.2],'Color',rgb('DarkGray'));
caxis([0 2]); colormap(sp4,cmocean('thermal')); text(0,4.45,'Wind direction error')
cb = colorbar; cb.Label.String = 'degrees'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 22.8; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
cb.Ticks = 0:.5:2;
ylabel('Height (km)')
sp5 = subplot(325);
pcolor(data.time,data.height/1000,w'); axis([0 24 0 4]); shading flat
set(gca,'Ytick',0:4,'XTick',0:3:24,'Units','centimeters','Position',[1 1.1 11 2.2],'Color',rgb('DarkGray'));
caxis([-3 3]); colormap(sp5,cmocean('balance')); text(0,4.45,'w wind component')
cb = colorbar; cb.Label.String = 'm s-1'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 10.2; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
cb.Ticks = -3:1:3;
ylabel('Height (km)')
sp6 = subplot(326);
pcolor(data.time,data.height/1000,snr'); axis([0 24 0 4]); shading flat
set(gca,'Ytick',0:4,'XTick',0:3:24,'Units','centimeters','Position',[13.5 1.1 11 2.2],'Color',rgb('DarkGray'));
caxis([.995 1.015]); colormap(sp6,chilljet); text(0,4.45,'Mean signal')
cb = colorbar; cb.Label.String = 'SNR+1'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 22.8; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
cb.Ticks = .995:.005:1.015;
ylabel('Height (km)')
[dir_out,~] = getHALOfileList(site,DATE,processlev,measmode,typeof);
export_fig('-png','-m2',sprintf(['%s%s_%s_halo-doppler-lidar-' num2str(C.halo_unit_id) ...
'-%s.png'], dir_out,num2str(DATE),site,measmode))
close(hf)
case 'winddbs'
[dirt,files] = getHALOfileList(site,DATE,'product',measmode,typeof);
[data] = load_nc_struct(fullfile([dirt files{1}]));
hf = figure; hf.Units = 'centimeters'; hf.Position = [.5 2 25 10];
hf.Color = 'white'; hf.Visible = 'off';
snr = data.mean_snr;
ws = data.wind_speed;
wd = data.wind_direction;
% ws_e = data.wind_speed_error;
% wd_e = data.wind_direction_error;
w = data.w;
sp1 = subplot(321);
pcolor(data.time,data.height/1000,ws'); axis([0 24 0 4]); shading flat
set(gca,'Ytick',0:4,'XTick',0:3:24,'Units','centimeters','Position',[1 7.3 11 2.2],'Color',rgb('DarkGray'));
caxis([0 20]); colormap(sp1,cmocean('thermal')); text(0,4.45,'Wind speed');
cb = colorbar; cb.Label.String = 'm s-1'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Ticks = 0:5:20; cb.Position(3) = .25; cb.Position(1) = 10.3; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)');
sp2 = subplot(322);
% pcolor(data.time,data.height/1000,ws_e');
axis([0 24 0 4]); shading flat
set(gca,'Ytick',0:4,'XTick',0:3:24,'Units','centimeters','Position',[13.5 7.3 11 2.2],'Color',rgb('DarkGray'));
caxis([0 3]); colormap(sp2,cmocean('thermal')); text(0,4.45,'Wind speed error')
cb = colorbar; cb.Ticks = 0:.5:10; cb.Label.String = 'm s-1'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 22.8; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)')
sp3 = subplot(323);
pcolor(data.time,data.height/1000,wd'); axis([0 24 0 4]); shading flat
set(gca,'Ytick',0:4,'XTick',0:3:24,'Units','centimeters','Position',[1 4.2 11 2.2],'Color',rgb('DarkGray'));
caxis([0 360]); colormap(sp3,colorcet('C8')); text(0,4.45,'Wind direction');
cb = colorbar; cb.Label.String = 'degrees'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 10.3; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
cb.Ticks = 0:90:360;
ylabel('Height (km)')
sp4 = subplot(324);
% pcolor(data.time,data.height/1000,wd_e');
axis([0 24 0 4]); shading flat
set(gca,'Ytick',0:4,'XTick',0:3:24,'Units','centimeters','Position',[13.5 4.2 11 2.2],'Color',rgb('DarkGray'));
caxis([0 2]); colormap(sp4,cmocean('thermal')); text(0,4.45,'Wind direction error')
cb = colorbar; cb.Label.String = 'degrees'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 22.8; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
cb.Ticks = 0:.5:2;
ylabel('Height (km)')
sp5 = subplot(325);
pcolor(data.time,data.height/1000,w'); axis([0 24 0 4]); shading flat
set(gca,'Ytick',0:4,'XTick',0:3:24,'Units','centimeters','Position',[1 1.1 11 2.2],'Color',rgb('DarkGray'));
caxis([-3 3]); colormap(sp5,cmocean('balance')); text(0,4.45,'w wind component')
cb = colorbar; cb.Label.String = 'm s-1'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 10.2; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
cb.Ticks = -3:1:3;
ylabel('Height (km)')
sp6 = subplot(326);
pcolor(data.time,data.height/1000,snr'); axis([0 24 0 4]); shading flat
set(gca,'Ytick',0:4,'XTick',0:3:24,'Units','centimeters','Position',[13.5 1.1 11 2.2],'Color',rgb('DarkGray'));
caxis([.995 1.015]); colormap(sp6,cmap_darkviolet_to_brickred); text(0,4.45,'Mean signal')
cb = colorbar; cb.Label.String = 'SNR+1'; ax1 = get(gca,'Position'); cb.Units = 'centimeters';
cb.Position(3) = .25; cb.Position(1) = 22.8; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
cb.Ticks = .995:.005:1.015;
ylabel('Height (km)')
[dir_out,~] = getHALOfileList(site,DATE,processlev,measmode,typeof);
export_fig('-png','-m2',sprintf(['%s%s_%s_halo-doppler-lidar-' num2str(C.halo_unit_id) ...
'-%s.png'], dir_out,num2str(DATE),site,measmode))
close(hf)
case 'wstats4precipfilter'
beta_mean = data.beta_mean_3min;
beta_var = data.beta_variance_3min;
snr_mean = data.signal_mean_3min;
snr_var = data.signal_variance_3min;
snr_instr_var = data.signal_instrumental_precision_variance_3min;
velo_mean = data.radial_velocity_mean_3min;
% Create a cleaning filter based what field are available
fnames = fieldnames(data);
switch ~isempty(strmatch('signal_instrumental_precision_variance_',fnames))
case 1
condnan = ...
10*real(log10(data.signal_mean_3min-1)) < -23 | ...
isnan(data.signal_mean_3min) | ...
data.nsamples_3min < round(max(data.nsamples_3min(:))*.66);% real(log10(data.signal_instrumental_precision_variance_3min)) > 0 | ...
case 0
condnan = ...
10*real(log10(data.signal_mean_3min-1)) < -23 | ...
isnan(data.signal_mean_3min) | ...
data.nsamples_3min < round(max(data.nsamples_3min(:))*.66);
end
condnan(:,1:3) = true;
beta_mean(condnan) = nan;
beta_var(condnan) = nan;
snr_mean(condnan) = nan;
snr_var(condnan) = nan;
velo_mean(condnan) = nan;
snr_instr_var(condnan) = nan;
hf = figure; hf.Units = 'centimeters'; hf.Position = [.5 2 25 10];
hf.Color = 'white'; hf.Visible = 'off';
sp1 = subplot(321);
pcolor(data.time_3min,data.height/1000,real(log10(beta_mean))'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[1 7.3 11 2.2]);
caxis([-7 -3]); colormap(sp1,chilljet); text(0,3.35,'Beta mean');
cb1 = colorbar; cb1.Label.String = 'm-1 sr-1'; ax1 = get(gca,'Position'); cb1.Units = 'centimeters';
cb1.Ticks = -7:-3; cb1.TickLabels = [repmat('10^{',length(cb1.Ticks(:)),1), ...
num2str(cb1.Ticks(:)) repmat('}',length(cb1.Ticks(:)),1)];
cb1.Position(3) = .25; cb1.Position(1) = 10.3; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)');
set(gca,'Color',[.5 .5 .5])
sp2 = subplot(322);
pcolor(data.time_3min,data.height/1000,real(log10(beta_var))'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[13.5 7.3 11 2.2]);
caxis([-16 -8]); colormap(sp2,chilljet); text(0,3.35,'Beta variance')
cb2 = colorbar; cb2.Label.String = '-'; ax1 = get(gca,'Position'); cb2.Units = 'centimeters';
cb2.Position(3) = .25; cb2.Position(1) = 22.8; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
cb2.Ticks = -16:2:8; ylabel('Height (km)'); cb2.TickLabels = [repmat('10^{',length(cb2.Ticks(:)),1), ...
num2str(cb2.Ticks(:)) repmat('}',length(cb2.Ticks(:)),1)];
set(gca,'Color',[.5 .5 .5])
sp3 = subplot(323);
pcolor(data.time_3min,data.height/1000,10*real(log10(snr_mean-1))'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[1 4.2 11 2.2]);
caxis([-30 10]); colormap(sp3,chilljet); text(0,3.35,'Signal mean');
cb3 = colorbar; cb3.Label.String = 'dB'; cb3.Ticks = -30:10:10; ax1 = get(gca,'Position'); cb3.Units = 'centimeters';
cb3.Position(3) = .25; cb3.Position(1) = 10.3; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)')
set(gca,'Color',[.5 .5 .5])
sp4 = subplot(324);
pcolor(data.time_3min,data.height/1000,real(log10(snr_var))'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[13.5 4.2 11 2.2]);
caxis([-7 1]); colormap(sp4,chilljet); text(0,3.35,'Signal variance')
cb4 = colorbar; cb4.Label.String = '-'; ax1 = get(gca,'Position'); cb4.Units = 'centimeters';
cb4.Position(3) = .25; cb4.Position(1) = 22.8; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
cb4.Ticks = -7:2:1; cb4.TickLabels = [repmat('10^{',length(cb4.Ticks(:)),1), ...
num2str(cb4.Ticks(:)) repmat('}',length(cb4.Ticks(:)),1)];
ylabel('Height (km)')
set(gca,'Color',[.5 .5 .5])
sp5 = subplot(325);
pcolor(data.time_3min,data.height/1000,velo_mean'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[1 1.1 11 2.2]);
caxis([-2 2]); colormap(sp5,cmocean('balance')); text(0,3.35,'Velocity mean')
cb5 = colorbar; cb5.Label.String = 'm s-1'; ax1 = get(gca,'Position'); cb5.Units = 'centimeters';
cb5.Position(3) = .25; cb5.Position(1) = 10.3; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
cb5.Ticks = -2:.5:2;
ylabel('Height (km)'); xlabel('Time UTC')
set(gca,'Color',[.5 .5 .5])
sp6 = subplot(326);
pcolor(data.time_3min,data.height/1000,real(log10(snr_instr_var))'); axis([0 24 0 3]); shading flat
set(gca,'Ytick',0:3,'XTick',0:3:24,'Units','centimeters','Position',[13.5 1.1 11 2.2]);
caxis([-7 1]); colormap(sp6,chilljet); text(0,3.35,'Signal instrumental precision variance')
cb6 = colorbar; cb6.Label.String = '-'; ax1 = get(gca,'Position'); cb6.Units = 'centimeters';
cb6.Position(3) = .25; cb6.Position(1) = 22.8; pause(.1); set(gca,'Position',ax1,'Units','centimeters');
ylabel('Height (km)'); xlabel('Time UTC'); cb6.Ticks = -7:2:1;
cb6.TickLabels = [repmat('10^{',length(cb6.Ticks(:)),1), ...
num2str(cb6.Ticks(:)) repmat('}',length(cb6.Ticks(:)),1)];
set(gca,'Color',[.5 .5 .5])
if exist('typeof','var') == 1
[dir_out,~] = getHALOfileList(site,DATE,processlev,measmode,typeof);
export_fig('-png',sprintf(['%s%s_%s_halo-doppler-lidar-' num2str(C.halo_unit_id) ...
'-%s-%s.png'], dir_out,num2str(DATE),site,measmode,typeof))
else
[dir_out,~] = getHALOfileList(site,DATE,processlev,measmode);
export_fig('-png','-m2',sprintf(['%s%s_%s_halo-doppler-lidar-' num2str(C.halo_unit_id) ...
'-%s.png'], dir_out,num2str(DATE),site,measmode))
end
close(hf)
otherwise
continue
end
end
end
end