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ancoldfronts.m
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1;
%%%% SCRIPT to find and display cold-front (or storm) events together with
%%%% corresponding heat budget (sea-surface heat flux) time series
%% LOAD DATA
%stnm = 'lkwf1';
%stnm = 'fwyf1';
stnm = 'mlrf1';
%stnm = 'lonf1';
%stnm = 'smkf1';
%stnm = 'sanf1';
%stnm = 'dryf1';
if ( ~exist('stn','var') )
mfname = fullfile(get_ecoforecasts_path('data'),[mfilename,'-',stnm,'.mat']);
%DEBUG: disp(mfname);
if ( exist(mfname,'file') )
disp(['Load ',mfname]);
load(mfname,'stn');
else
if ( strcmpi(stnm,'lkwf1') )
stn = optimize_station_heat_budget(stnm,'erai','none','ndbc','tpxo_tide','erai');
else
stn = optimize_station_heat_budget(stnm,'erai','avhrr_weekly','ndbc','tpxo_tide','erai');
end;
stn = verify_variable(stn,'erai_ndbc_arf_1_d_sum');
stn = verify_variable(stn,'erai_ndbc_srf_1_d_sum');
stn = verify_variable(stn,{'ndbc_erai_erai_30a_latent_flux_term_1_d_sum','ndbc_erai_erai_30a_sensible_flux_term_1_d_sum','erai_ndbc_arf_term_1_d_sum','ndbc_erai_erai_30a_net_flux_term_1_d_sum'});
disp(['Save ',mfname]);
save(mfname,'stn');
end;
end;
stn = verify_variable(stn,'ndbc_sea_t_1_d_var_3_d_avg');
stn = verify_variable(stn,'ndbc_wind1_speed_1_d_median');
stn = verify_variable(stn,'ndbc_wind1_u_1_d_median');
stn = verify_variable(stn,'ndbc_wind1_v_1_d_median');
stn = verify_variable(stn,'ndbc_wind1_u_1_d_var_0_d_asof_sum_ndbc_wind1_v_1_d_var');
stn = verify_variable(stn,'ndbc_wind1_u_3_d_var_0_d_asof_sum_ndbc_wind1_v_3_d_var');
stn = verify_variable(stn,'ndbc_barom_1_d_lp');
stn = verify_variable(stn,'ndbc_barom_3_d_lp');
stn = verify_variable(stn,'ndbc_barom_5_d_min');
stn = verify_variable(stn,'ndbc_barom_5_d_max');
stn = verify_variable(stn,'ndbc_barom_5_d_var');
stn.ndbc_barom_5_d_range = ts_op(stn.ndbc_barom_5_d_max,stn.ndbc_barom_5_d_min,'-');
% % These boxplots reveal an odd feature - barometric pressure is bimodal,
% % with a primary peak in winter, but a sharp secondary peak in July!
% for yr=1993:2013; fh=fmg; boxplot_ts(subset_ts(stn.ndbc_barom,@(x)(find(get_year(x.date)==yr))),[],'mean',true); ylim([1000,1030]); titlename(num2str(yr)); pause; close(fh); end;
%% ISOLATE COLD FRONT "EVENTS"
% Select cold fronts based on one of several criteria
%clear jdlim
%jdlim(ts_boreal_cool(stn.ndbc_barom),1) = prctile(stn.ndbc_barom.data(ts_boreal_cool(stn.ndbc_barom)),98);
%jdlim(ts_boreal_warm(stn.ndbc_barom),1) = prctile(stn.ndbc_barom.data(ts_boreal_warm(stn.ndbc_barom)),98);
%cfld='ndbc_barom'; cts=stn.(cfld); crit=@(x)(x.data>=prctile(cts.data,99));
%cfld='ndbc_barom'; cts=stn.(cfld); crit=@(x)(x.data>=prctile(cts.data,96));
%cfld='erai_barom'; cts=stn.(cfld); crit=@(x)(x.data>=prctile(cts.data,96));
%cfld='ndbc_barom_1_d_lp'; cts=stn.(cfld); crit=@(x)(x.data>=prctile(cts.data,96));
%cfld='ndbc_barom_1_d_lp'; cts=stn.(cfld); crit=@(x)(x.data>=prctile(cts.data,92));
%cfld='ndbc_barom'; cts=stn.(cfld); crit=@(x)(x.data>=jdlim);
%cfld='ndbc_barom_5_d_range'; cts=stn.(cfld); crit=@(x)(x.data>=10);
%cfld='ndbc_barom_5_d_var'; cts=stn.(cfld); crit=@(x)(x.data>=prctile(cts.data,96));
%cfld='ndbc_barom_5_d_var'; cts=stn.(cfld); crit=@(x)(x.data>=prctile(cts.data,92));
%cfld='ndbc_wind1_u_1_d_var_0_d_asof_sum_ndbc_wind1_v_1_d_var'; cts=stn.(cfld); crit=@(x)(x.data>=prctile(cts.data,96));
%cfld='ndbc_wind1_u_3_d_var_0_d_asof_sum_ndbc_wind1_v_3_d_var'; cts=stn.(cfld); crit=@(x)(x.data>=prctile(cts.data,96));
%cfld='ndbc_erai_erai_30a_avhrr_hc_dTdt'; cts=stn.(cfld); crit=@(x)(x.data>=prctile(cts.data,96));
%cfld='ndbc_erai_erai_30a_avhrr_hc_dTdt'; cts=stn.(cfld); crit=@(x)(x.data<=prctile(cts.data,4));
%cfld='ndbc_sea_t_diff'; cts=stn.(cfld); crit=@(x)(x.data<=prctile(cts.data,96));
%cfld='ndbc_sea_t_diff'; cts=stn.(cfld); crit=@(x)(x.data<=prctile(cts.data,4));
%cfld='ndbc_sea_t_diff'; cts=stn.(cfld); crit=@(x)(x.data<=prctile(cts.data,1));
cfld='ndbc_sea_t_1_d_var_3_d_avg'; cts=stn.(cfld); crit=@(x)(x.data>=prctile(cts.data,96));
cfdts = unique(floor(cts.date(crit(cts))));
if (isempty(cfdts)); error('No events found!'); end;
% % Works best for 1 d wind variance
% bakdys=1; fwddys=3;
% % Trying for wind variances vs. sea temperature difference
% bakdys=2; fwddys=5;
% Trying for wind variances vs. sea temperature difference
bakdys=4; fwddys=6;
% % Works best for all others
% bakdys=3; fwddys=3;
% Isolate events (from whatever criterion) into individual non-contiguous days
cfdts(find(diff(cfdts)<3)+1) = [];
% Center each event based on a local extremum of the centering time-series
%cent_fld = 'ndbc_barom'; cent_fn = @min;
%cent_fld = 'ndbc_barom'; cent_fn = @max;
%cent_fld = 'erai_barom'; cent_fn = @min;
%cent_fld = 'erai_barom'; cent_fn = @max;
%cent_fld = 'ndbc_air_t'; cent_fn = @min;
%cent_fld = 'ndbc_air_t'; cent_fn = @max;
%cent_fld = 'ndbc_sea_t_diff'; cent_fn = @min;
%cent_fld = 'ndbc_sea_t_diff'; cent_fn = @max;
%cent_fld = 'ndbc_erai_erai_30a_latent_flux_term'; cent_fn = @min;
%cent_fld = 'ndbc_erai_erai_30a_latent_flux_term'; cent_fn = @max;
%cent_fld = 'ndbc_erai_erai_30a_net_flux_term'; cent_fn = @min;
%cent_fld = 'ndbc_erai_erai_30a_net_flux_term'; cent_fn = @max;
%cent_fld = 'b_ndbc_erai_erai_30a_net_flux_term'; cent_fn = @min;
%cent_fld = 'b_ndbc_erai_erai_30a_net_flux_term'; cent_fn = @max;
%cent_fld = 'ndbc_erai_erai_30a_avhrr_hc_dTdt'; cent_fn = @min;
%cent_fld = 'ndbc_erai_erai_30a_avhrr_hc_dTdt'; cent_fn = @max;
%cent_fld = 'ndbc_erai_erai_30a_avhrr_hc_dTdt_4_d_avg'; cent_fn = @min;
%cent_fld = 'ndbc_erai_erai_30a_avhrr_hc_dTdt_4_d_avg'; cent_fn = @max;
%cent_fld = 'ndbc_barom_5_d_var'; cent_fn = @min;
%cent_fld = 'ndbc_barom_5_d_var'; cent_fn = @min;
%cent_fld = 'ndbc_wind1_u_3_d_var_0_d_asof_sum_ndbc_wind1_v_3_d_var'; cent_fn = @min;
%cent_fld = 'ndbc_wind1_u_3_d_var_0_d_asof_sum_ndbc_wind1_v_3_d_var'; cent_fn = @max;
%cent_fld = cfld; cent_fn = @min;
cent_fld = cfld; cent_fn = @max;
stn = verify_variable(stn,cent_fld);
cent_ts = stn.(cent_fld);
add_flds = {'ndbc_erai_erai_30a_avhrr_hc_dTdt_4_d_avg','ndbc_wind1_u_3_d_var_0_d_asof_sum_ndbc_wind1_v_3_d_var'};
add_flds={};
nvars = numel(add_flds);
rdts = -bakdys:(1/24):fwddys;
npts = length(rdts);
vecs=[]; clear vecs
% Make room for centering time series and criterion time series
vecs = repmat(nan,[numel(cfdts),(npts*(nvars+1))]);
badix = [];
for ix = 1:numel(cfdts)
evtix = find(cfdts(ix)-bakdys<=cent_ts.date & cent_ts.date<=cfdts(ix)+fwddys);
if ( isempty(evtix) )
% If no centering TS data during this event, remove it from consideration
badix(end+1) = ix;
else
% Glean from time series that may not be strictly hourly
[ig,hrix] = unique(get_yearhour(cent_ts.date(evtix)));
%DEBUG: if (numel(hrix)<numel(evtix)); keyboard; end;
evtix = evtix(hrix);
% Find extremum
[ig,peakix] = cent_fn(cent_ts.data(evtix));
% Recenter event at extremum
cfdts(ix) = cent_ts.date(evtix(peakix));
evtix = find(cfdts(ix)-bakdys<=cent_ts.date & cent_ts.date<=cfdts(ix)+fwddys);
% Append centering time-series at end of data vector for SOM analysis
datix = unique(round(interp1(cfdts(ix)+rdts,1:numel(rdts),get_yearhour(cent_ts.date(evtix)))));
evtix(~isfinite(datix)) = [];
datix(~isfinite(datix)) = [];
vecs(ix,(npts*nvars)+datix) = cent_ts.data(evtix);
% Catenate time-series of interest into data vector
for varix = 1:nvars
stn = verify_variable(stn,add_flds{varix});
ts = stn.(add_flds{varix});
evtix = find(cfdts(ix)-bakdys<=ts.date & ts.date<=cfdts(ix)+fwddys);
[ig,hrix] = unique(get_yearhour(ts.date(evtix)));
datix = unique(round(interp1(cfdts(ix)+rdts,1:numel(rdts),get_yearhour(ts.date(evtix)))));
evtix(~isfinite(datix)) = [];
datix(~isfinite(datix)) = [];
vecs(ix,(npts*(varix-1))+datix) = ts.data(evtix);
end;
end;
end;
cfdts(badix) = [];
vecs(badix,:) = [];
clear badix
%% PLOT COLD FRONT EVENTS AS SHORT TIME SERIES
if (0)
if ( ~exist('fh','var') || ~ishandle(fh) )
fh = [];
end;
if ( isempty(fh) )
fh=fmg;
% % % subplot(3,1,1); plot_ts(stn.ndbc_air_t,stn.ndbc_sea_t); xlabel('Ta, Ts'); grid on;
% % subplot(3,1,1); plot_ts(stn.ndbc_air_t,stn.ndbc_sea_t,ts_op(stn.erai_spechumid,1000,'*')); xlabel('Ta, Ts, qa'); grid on;
% subplot(3,1,1); plot_ts(stn.ndbc_air_t,stn.ndbc_sea_t,stn.ndbc_wind1_speed_1_d_median,ts_op(stn.erai_spechumid,1000,'*')); xlabel('Ta,Ts,U_1_d,qa'); grid on;
subplot(3,1,1); plot_ts(stn.ndbc_air_t,stn.ndbc_sea_t,stn.ndbc_wind1_speed_1_d_median,ts_op(stn.erai_spechumid,1000,'*'),ts_fun(stn.ndbc_wind1_u_1_d_var_0_d_asof_sum_ndbc_wind1_v_1_d_var,@sqrt),'k-'); xlabel('Ta,Ts,U_1_d,qa,U_v_a_r'); grid on;
legend('Ta','Ts','med_1_dU','qa','\sigma_1_du+\sigma_1_dv');
% % subplot(3,1,2); plot_ts(stn.erai_ndbc_arf_1_d_sum,stn.erai_ndbc_srf_1_d_sum); xlabel(',Q_S_W'); grid on;
% % subplot(3,1,2); plot_ts(stn.ndbc_erai_erai_30a_latent_flux,stn.ndbc_erai_erai_30a_sensible_flux,stn.ndbc_erai_erai_30a_net_flux); xlabel('Q_L_H,Q_S_H,Q_0'); grid on;
% % stn.erai_ndbc_arf_term_dly \Sigma_1_d(Q_S_W(\gamma)+Q_L_W)
% subplot(3,1,2); plot_ts(stn.ndbc_erai_erai_30a_latent_flux_term_1_d_sum,stn.ndbc_erai_erai_30a_sensible_flux_term_1_d_sum,stn.erai_ndbc_arf_term_1_d_sum,stn.ndbc_erai_erai_30a_net_flux_term_1_d_sum); xlabel('\Sigma_1_dQ_L_H,Q_S_H,Q_S_W(\gamma)+Q_L_W,Q_0'); grid on;
subplot(3,1,2); plot_ts(stn.ndbc_erai_erai_30a_latent_flux,stn.ndbc_erai_erai_30a_sensible_flux,stn.erai_ndbc_arf,stn.ndbc_erai_erai_30a_net_flux); xlabel('Q_L_H,Q_S_H,Q_S_W(\gamma)+Q_L_W,Q_0'); grid on;
legend('Q_L_H','Q_S_H','Q_S_W(\gamma)+Q_L_W','Q_0');
% subplot(3,1,3); plot_ts(stn.ndbc_barom); xlabel('Pr'); grid on;
subplot(3,1,3); plot_ts(stn.ndbc_barom,stn.ndbc_barom_1_d_lp,stn.ndbc_barom_3_d_lp,'-',stn.erai_barom,'k-'); xlabel('Pr'); grid on;
end;
if ( ~exist('dtix','var') )
%dtix = 1;
dtix = ceil(numel(cfdts)/2);
end;
for dtix = dtix:numel(cfdts)
figure(fh);
dt = cfdts(dtix);
% % % %subplot(3,1,1); axis([dt-7,dt+6.9,0,40]); datetick3;
% % % subplot(3,1,1); axis([dt-7,dt+6.9,-20,25]); datetick3;
% % % titlename([num2str(dtix),' of ',num2str(numel(cfdts))]);
% % % subplot(3,1,2); axis([dt-7,dt+6.9,5,29]); datetick3;
% % % subplot(3,1,3); axis([dt-7,dt+6.9,1005,1033]); datetick3;
% % subplot(3,1,1); axis([dt-7,dt+6.9,-600,600]); datetick3;
% % subplot(3,1,2); axis([dt-7,dt+6.9,0,5500]); datetick3;
% subplot(3,1,1); axis([dt-7,dt+6.9,5,33]); datetick3;
subplot(3,1,1); axis([dt-7,dt+6.9,0,33]); datetick3;
titlename([num2str(dtix),' of ',num2str(numel(cfdts))]);
% subplot(3,1,2); axis([dt-7,dt+6.9,-8,8]); datetick3;
subplot(3,1,2); axis([dt-7,dt+6.9,-1000,+1000]); datetick3;
% subplot(3,1,3); axis([dt-7,dt+6.9,1002,1033]); datetick3;
subplot(3,1,3); axis([dt-7,dt+6.9,1005,1030]); datetick3;
pause;
% break;
if ( ~ishandle(fh) )
disp('Quit');
break;
end;
end;
end; %if (0)
%[sm,pc,sc,framedts,fldnms,fhs] = som_vs_pca_ts(stn,periods,ndays,mapdims,normalrng,nodisplay,fldnms,fldabbr);
%[sm,fh] = som_tses(tses_or_vecs,mapdims,npts,fdts,fldnms,ttl,doSort)
% [sm,fh] = som_tses(vecs,[5,5],npts,[],[],...
% strrep([upper(stnm),' ',upper(cent_fld),'(b) based on ',upper(cfld),'(g)'],'_','\_'),false,false);
% [sm,fh] = som_tses(vecs,[5,5],npts,[],[],...
% strrep([upper(stnm),' ',upper(cent_fld),'(b) based on ',upper(cfld),'(g)'],'_','\_'),true,false);
[sm,fh] = som_tses(vecs,[5,5],npts,[],[],...
strrep([upper(stnm),' ',upper(cent_fld),'(b) based on ',upper(cfld),'(g)'],'_','\_'),false,true);
[sm,fh] = som_tses(vecs,[5,5],npts,[],[],...
strrep([upper(stnm),' ',upper(cent_fld),'(b) based on ',upper(cfld),'(g)'],'_','\_'),true,true);