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hr_routine_v3_vaishnavi.m
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hr_routine_v3_vaishnavi.m
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function [] = hr_routine_v2(yearin, doyin)
%% Initialization
close all;
dbstop if error;
% maxNumCompThreads(4);
%file separator "/" in linux
sep = filesep;
%where cases data are stored
cases_folder = '/data1/public/Data/cases/pfrr/';
%case_folder = '/data1/public/Data/cases/calg/';
%where output data and plots are stored
home_dir = '/data1/home/ysu27/';
%find yesterday in doy
comm = 'date -u -d "a day ago" +%j';
[~, yesterday] = system(comm);
yesterday = str2num(yesterday);
comm1 = 'date -u -d "a day ago" +%Y';
[~, year] = system(comm1);
if nargin == 2
yearlist = yearin;
doylist = doyin;
else
yearlist = str2num(year);
doylist = yesterday;
end
SD = [];
MEGA_MSP = [];
MSP_days = [];
SCINTEVENTS = [];
%specify signal
signal_type = 2 %[0 2]
WSNlist = [];
WSNS4list = [];
for yearnum = yearlist
year = num2str(yearnum, '%04i')
% for doy = yesterday
for doynum = unique(doylist)
%day of year in string
doy = num2str(doynum, '%03i')
year;
%% Process low-rate data
%first sigmaphi threshold in [rad]
spmask = 0;
s4mask = 0;
if strcmp(cases_folder(end-4:end-1), 'pfrr')
%folder_path for 2013 Poker Flat data
op_path = [home_dir, 'PFRR_Data/'];
else
%folder_path for 2013 Calgary data
op_path = [home_dir, 'Calgary_Data/'];
end
%check if low rate data has already been processed
matfile = dir([op_path, 'lrdata_', num2str(signal_type), '_', year, '_', doy, '.mat'])
if ~isempty(matfile) && matfile.datenum >= datenum([2015, 5, 30, 0, 0, 0])
disp([op_path, 'lrdata_', year, '_', doy, '.mat already exists']);
else
%filter low rate sigma phi data for all operational receivers
%with sigmaphi threshold and save the results into a large array
[MSP, MS4, HITDATA, CST, rcvr_op, tlim, splim, s4lim, signal] = scint_el_stackplot(cases_folder, home_dir, signal_type, doy, year, spmask, s4mask);
lrdata = {MSP, HITDATA, CST, rcvr_op, tlim, splim, signal, spmask, MS4, s4mask, s4lim};
if ~isempty(MSP) && ~isempty(MS4)
save([op_path, 'lrdata_', num2str(signal_type), '_', year, '_', doy, '.mat'], 'lrdata');
else
disp('No data for this day, exiting....');
continue;
end
end
%% Generate low-rate sigmaphi stackplots
%load low rate results
lrfile = [op_path, 'lrdata_', num2str(signal_type), '_', year, '_', doy, '.mat'];
load(lrfile);
tlim_vec = datevec(lrdata{5})
hr_times = [];
hrtimes = [];
MSP = lrdata{1};
HITDATA = lrdata{2};
CST = lrdata{3};
rcvr_op = lrdata{4};
tlim = lrdata{5};
splim = lrdata{6};
signal = lrdata{7};
spmask = lrdata{8};
MS4 = lrdata{9};
s4mask = lrdata{10};
s4lim = lrdata{11};
span = 60;
disp(['There are totally ', num2str(size(MSP, 1)), ...
' points of sigma_phi data']);
disp(['There are totally ', num2str(size(MS4, 1)), ...
' points of s4 data']);
% receiver structure including all poker flat receivers
rcvr_struct = rx_dirs(cases_folder, year, doy);
rcvr_struct = ['grid108'; 'grid154'; 'grid160'; 'grid161'; 'grid162'; 'grid163'; 'ASTRArx'];
% rcvr_struct = ['grid108';'grid154';'grid160';'grid161';'grid162';'grid163'];
if ~isempty(MSP)
% lr_rx_stackplot(lrdata,year,doy,rcvr_struct,op_path,'sp');
% lr_prn_stackplot(lrdata,year,doy,rcvr_struct,op_path,'sp');
else % no enough scintillation data to conitue, considered a quiet day
disp(['doy:', doy, ' of ', year, ' is a quiet day']);
end
if ~isempty(MS4)
% lr_rx_stackplot(lrdata,year,doy,rcvr_struct,op_path,'s4');
% lr_prn_stackplot(lrdata,year,doy,rcvr_struct,op_path,'s4');
else % no enough scintillation data to conitue, considered a quiet day
disp(['doy:', doy, ' of ', year, ' is a quiet day']);
continue;
end
% exit;
% return;
%save MSP for each day into MEGA_MSP
% datevec(MSP([1 end],1))
if strcmp(year, '2014') == 1 || strcmp(year, '2013') == 1
MSP = MSP(MSP(:, 1) <= datenum([2015, 1, 1, 0, 0, 0]) & MSP(:, 1) >= datenum([2013, 12, 1, 0, 0, 0]), :);
end
MSP_hours = MSP(:, 1) - str2num(doy) + 1;
% MSP_hours = MSP(:,1);
% datevec(MSP_hours([1 end],:))
MEGA_MSP = [MEGA_MSP; [MSP_hours, MSP(:, 2:end)]];
% datevec(MEGA_MSP([1 end],1))
%% Discard scintillation values below certain thresholds
%daily mean
meansp_doy = mean(MSP(:, 2));
stdsp_doy = std(MSP(:, 2));
means4_doy = mean(MS4(:, 2));
stds4_doy = std(MS4(:, 2));
%fixed threshold
sp_fixed = 0.6;
%s4_fixed = 0.4;
s4_fixed = 0.2;
RCVR_OP = [];
MSP_NUM = [];
MSP_NUM0 = [];
for rr = 1:size(rcvr_op, 1)
if ~isempty(MSP(MSP(:, 4) == rr, :))
MSP_NUM = [MSP_NUM; size(MSP(MSP(:, 4) == rr, :), 1)];
RCVR_OP = [RCVR_OP; rcvr_op(rr, :)];
end
MSP_NUM0 = [MSP_NUM0; size(MSP(MSP(:, 4) == rr, :), 1)];
end
RCVR_OP
rcvr_op
spth_hr0 = sp_fixed;
MSP_hr0 = MSP(MSP(:, 2) >= spth_hr0, :);
MSP_hr0 = sortrows(MSP_hr0, 1);
spth_hr1 = meansp_doy;
MSP_hr1 = MSP(MSP(:, 2) >= spth_hr1, :);
MSP_hr1 = sortrows(MSP_hr1, 1);
MSP_hr = floor([size(MSP_hr0, 1); size(MSP_hr1, 1)]/size(RCVR_OP, 1));
spth_hr = [spth_hr0; spth_hr1];
WSN = floor((MSP_hr' * spth_hr)/sum(spth_hr));
WSNlist = [WSNlist; [str2num(doy), WSN]];
%Calculating WSN for S4
%-------------------------------------
s4th_hr0 = s4_fixed;
MS4_hr0 = MS4(MS4(:, 2) >= s4th_hr0, :);
MS4_hr0 = sortrows(MS4_hr0, 1);
s4th_hr1 = means4_doy;
MS4_hr1 = MS4(MS4(:, 2) >= s4th_hr1, :);
MS4_hr1 = sortrows(MS4_hr1, 1);
MS4_hr = floor([size(MS4_hr0, 1); size(MS4_hr1, 1)]/size(RCVR_OP, 1));
s4th_hr = [s4th_hr0; s4th_hr1];
WSNS4 = floor((MS4_hr' * s4th_hr)/sum(s4th_hr));
WSNS4list = [WSNS4list; [str2num(doy), WSNS4]];
%---------------------------------------------
disp(['There are totally ', num2str(size(MSP, 1)), ' points for this day']);
disp([num2str(size(MSP_hr0, 1)), ...
' points of sigma_phi data exceeding the fixed threshold ', num2str(spth_hr0)]);
disp([num2str(size(MSP_hr1, 1)), ...
' points of sigma_phi data exceeding the daily average threshold ', num2str(spth_hr1)]);
disp(['Weighted Scintillation Number is ', num2str(WSN)]);
sd_num = [yearnum, doynum, ...
size(rcvr_op, 1), floor(mean(MSP_NUM0)), size(RCVR_OP, 1), floor(mean(MSP_NUM)), ...
spth_hr(1), MSP_hr(1), spth_hr(2), MSP_hr(2), WSN]
SD = [SD; sd_num];
ONES = ones(size(MSP, 1), 1);
MSP_day = [doynum * ONES, length(unique(MSP(:, 4))) * ONES, MSP(:, 2:end)];
MSP_days = [MSP_days; MSP_day];
fid1 = fopen('./sd.txt', 'a+');
fprintf(fid1, '%d %03d %d %d %d %d %.3f %d %.3f %d %d\n', sd_num');
% continue;
%% Generate a list of time intervals used for downloading high-rate data
dt = 3600 / 24 / 3600 / 2;
if spth_hr1 <= spth_hr0
MSP_hr = MSP_hr0;
spth_hr = spth_hr0
else
MSP_hr = MSP_hr1;
spth_hr = spth_hr1
end
%spth_hr is always the larger one of the two
lrtimesfile = ['./L2_S4', '_', year, '_', doy, '.mat']
if isempty(dir(lrtimesfile))
disp([lrtimesfile, 'already exists']);
[mega_t, TSP_hr0, TSP_hrv0] = find_general_times(MS4, rcvr_op, 0.2);
TSP_hrv0
% save(lrtimesfile,'MSP','rcvr_op','spth_hr','TSP_hr0','TSP_hrv0');
save(lrtimesfile, 'MS4', 'rcvr_op', 'TSP_hr0', 'TSP_hrv0');
else
load(lrtimesfile);
TSP_hrv0
end
% keyboard;
% e_common = findhrtimes(year, doy);
% t0 = datevec(e_common(:,2));
% tf = datevec(e_common(:,3));
% e_common0 = [e_common(:,1), t0(:,4), t0(:,5), ...
% tf(:,4), tf(:,5), e_common(:,end)]
% keyboard;
% TSP_hr0_short = TSP_hr0(1:10,:);
% TSP_hrv0_short = TSP_hrv0(1:10,:);
TSP_hr = TSP_hr0;
% keyboard;
% continue;
%%
%receiver structure of high rate data, different from that of low rate as
%receivers are in site ID order instead
rcvr_struct_hr = ['grid108'; ...
'grid163'; ...
'grid160'; ...
'grid162'; ...
'grid161'; ...
'grid154'];
rcvr_op_hr = [];
for rr = 1:size(rcvr_struct_hr, 1)
rcvr_name = rcvr_struct_hr(rr, :);
if ismember(rcvr_name, RCVR_OP, 'rows')
[~, rr_op] = ismember(rcvr_name, RCVR_OP, 'rows');
rcvr_op_hr = [rcvr_op_hr; RCVR_OP(rr_op, :)];
end
end
if yearnum == 2013 && doynum == 342
rcvr_op_hr = ['grid108'; ...
'grid163'; ...
'grid162'; ...
'ASTRArx'; ...
'grid161';]
end
rcvr_op_hr;
continue;
%% High-rate processing w/{w/o} specified PRNs or time intervals
flag = 'single';
% flag = 'multiple';
if strcmp(flag, 'single')
prnlist = unique(TSP_hr(:, 1), 'stable');
prnlist = prnlist(1);
else
prnlist = e_common(:, 1);
% t_common = unique(e_common(:,2:3),'rows','stable');
t_common = e_common(:, 2:3);
end
% keyboard;
switch doy
% case '342'
% prnlist = [23,10,13];
% case '050'
% prnlist = [17];
case '051'
prnlist = [29];
case '076'
prnlist = [27, 22, 18];
% prnlist = [27];
% case '077'
% prnlist = [25 29 31];
% prnlist = 1;
end
length(prnlist)
for kk = 1:min(3, length(prnlist))
% for kk = 1
% for kk = 1:min(length(prnlist),5)
prn = prnlist(kk)
if strcmp(flag, 'single')
trow = find(TSP_hr(:, 1) == prn);
else
trow = find(prnlist == prn);
end
length(trow)
for irow = 1 %:length(trow)
if strcmp(flag, 'single')
tt = TSP_hr(trow(irow), 2:3)';
duration = TSP_hr(trow(irow), 4);
sp_median = TSP_hr(trow(irow), 5);
else
tt = t_common(trow(irow), :)';
duration = diff(tt) * 24 * 60;
end
% datevec(tt)
% if (isempty(t_old) && diff(tt)<=dt)
% tt_new(1,:) = tt(1)-(dt-diff(tt))/2;
% tt_new(2,:) = tt(2)+(dt-diff(tt))/2;
% else
% tt_new(1,:) = tt(1)-300/24/3600;
% tt_new(2,:) = tt(2)+300/24/3600;
% end
% tt = tt_new;
datevec(tt)
% keyboard;
init_time = datevec(tt(1));
init_time = datenum([init_time(1:4), 0, 0])
xtime = (tt - init_time) * 24 * 3600;
%
% specify times of interest used in the case study
switch prn
% case {5,25,29}
% init_time = datenum([2015 3 17 9 0 0]);
% xtime = [-1800;1800];
% case {19,27,22}
% init_time = datenum([2015 3 17 13 0 0]);
% xtime = [0;1800];
% case {21}
% init_time = datenum([2015 3 17 11 0 0]);
% xtime = [0;3600*3];
% case {10,13}
% init_time = datenum([2013 12 8 3 0 0]);
% xtime = [2604.4;4648.9];
% case {31,29,25}
% init_time = datenum([2015 3 18 7 50 0]);
% xtime = [0;2400];
% case 1
% init_time = datenum([2015 3 18 15 2 0]);
% xtime = [-600;600];
end
% keyboard;
% xtime = [3600;2*3600+45*60];
% xtime = [3600+1800;2*3600];
tt = init_time + xtime / 24 / 3600;
disp(['Time: ', num2str(xtime(1)), '-', num2str(xtime(end)), ...
' seconds after ', datestr(init_time, 'yyyy/mm/dd HH:MM:SS')]);
% lr_hr_sigmaphi_plot(tspan,prn,home_dir,cases_folder,rcvr_op_hr,year,doy,sep,signal,signal_type);
% dt = 3600/24/3600;
dt = diff(tt) * 1.1;
% test with all 5 receivers including ASTRA
% disp('All 5 receivers including ASTRA');
% [tstt, tend] = zoomin_hrplot_iq_carrier(irow, tt, dt, signal_type, home_dir, cases_folder, year, doy, prn, rcvr_op_hr);
%
% try
% SCINTEVENTS = [SCINTEVENTS; ...
% [yearnum, doynum, prn, tstt(4:5), tend(4:5), duration, veststats']]
% catch
% SCINTEVENTS = [SCINTEVENTS; ...
% [yearnum, doynum, prn, tstt(4:5), tend(4:5), duration]]
%
% end
end
end
% plotprnvs(prnlist,year,doy);
end
length(doyin)
save('WSN_L2_S4_2015.mat', 'WSNS4list');
% if length(doyin) >= 365 && ~isempty(SD) && ~isempty(MEGA_MSP) && ~isempty(MSP_days)
% save(['/data1/home/ysu27/Dropbox/research/sd_', year, '.mat'], 'SD', 'MEGA_MSP', 'MSP_days', 'SCINTEVENTS');
% end
% csvwrite([home_dir, 'Dropbox', sep, 'ScintillationEvents_short_', year, '.csv'], SCINTEVENTS);
end
% fclose(fid1);