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UNM_RBD_apply_radiation_calibration_factors.m
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UNM_RBD_apply_radiation_calibration_factors.m
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function [sw_incoming, sw_outgoing, lw_incoming, lw_outgoing, Par_Avg ] = ...
UNM_RBD_apply_radiation_calibration_factors( sitecode, year_arg, ...
decimal_day, ...
sw_incoming, sw_outgoing, ...
lw_incoming, lw_outgoing, ...
Par_Avg, NR_tot, ...
wnd_spd, CNR1TK )
% UNM_RBD_APPLY_RADIATION_CALIBRATION_FACTORS - correct for radiation
% calibration factors that were incorrectly specified in datalogger code at
% various sites and time periods.
%
% Some site-years or portions thereof contain incorrect calibration factors in
% their datalogger code. These corrections fix those problems.
%
% This is a helper function for UNM_RemoveBadData. It is not intended to be
% called on its own. Input and output arguments are defined in
% UNM_RemoveBadData.
%
% [sw_incoming, sw_outgoing, ...
% lw_incoming, lw_outgoing, Par_Avg ] = ...
% UNM_RBD_apply_radiation_calibration_factors( sitecode, year_arg, ...
% decimal_day, ...
% sw_incoming, sw_outgoing, ...
% lw_incoming, lw_outgoing, Par_Avg, ...
% NR_tot, wnd_spd, CNR1TK )
%
% INPUTS/OUTPUTS
% see UNM_RemoveBadData and UNM_RemoveBadData_pre2012
%
% SEE ALSO:
% UNM_RemoveBadData, UNM_RemoveBadData_pre2012
%
% author: Timothy W. Hilton, UNM, 2013
% modified by: Gregory E. Maurer, UNM, 2015-2016
%%%%%%%%%%%%%%%%% grassland
switch sitecode
case UNM_sites.GLand
% Current multiplier for CNR1 (checked 2/6/2017
cnr1_sensitivity = 8.49; % from current program
cnr1_mult = 1000 / cnr1_sensitivity;
% Pre-2014 multipliers to be corrected
cnr1_mult_old1 = 163.66;
cnr1_mult_old2 = 136.99;
% PAR multipliers - see the current datalogger program
PAR_KZ_new_up_sens = 8.6; % New Par_lite sensor
PAR_KZ_old_up_sens = 4.9; % Older Par_lite - starting ~5/7/2009
PAR_KZ_dn_sens = 8.68; % K&Z down
% PAR_LI_old_sens = 7.7; % LiCor, 2007-5/7/2009 ( Multiply by .604 )
PAR_LI_old_sens = 5.7; % LiCor, 2007-5/7/2009 ( Multiply by .604 )
PAR_KZ_new_up_mult = 1000 / PAR_KZ_new_up_sens;
PAR_KZ_old_up_mult = 1000 / PAR_KZ_old_up_sens;
PAR_LI_old_mult = 1000 / (PAR_LI_old_sens * .604);
if year_arg == 2007
% Calibration and unit conversion into W per m^2 for
% CNR1 variables and adjust for incorrect cal factor in
% datalogger program
% For first couple of weeks the program had one incorrect
% conversion factor (163.666)
idx1 = find(decimal_day > 156.71 & decimal_day < 162.52);
sw_incoming(idx1) = (sw_incoming(idx1) ./ cnr1_mult_old1) .* cnr1_mult;
sw_outgoing(idx1) = sw_outgoing(idx1) ./ cnr1_mult_old1 .* cnr1_mult;
lw_incoming(idx1) = lw_incoming(idx1) ./ cnr1_mult_old1 .* cnr1_mult;
lw_outgoing(idx1) = lw_outgoing(idx1) ./ cnr1_mult_old1 .* cnr1_mult;
% then afterward it had a different one (136.99)
idx2 = find(decimal_day >= 162.52);
sw_incoming(idx2) = sw_incoming(idx2) ./ cnr1_mult_old2 .* cnr1_mult;
sw_outgoing(idx2) = sw_outgoing(idx2) ./ cnr1_mult_old2 .* cnr1_mult;
lw_incoming(idx2) = lw_incoming(idx2) ./ cnr1_mult_old2 .* cnr1_mult;
lw_outgoing(idx2) = lw_outgoing(idx2) ./ cnr1_mult_old2 .* cnr1_mult;
% temperature correction just for long-wave
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
% Until PAR sensor online, estimate par from sw_incoming
Par_Avg(find(decimal_day < 162.15)) = ...
sw_incoming(find(decimal_day < 162.15)).*2.025 + 4.715;
% After PAR sensor operational use old licor calibration
Par_Avg(find(decimal_day > 162.14)) = ...
Par_Avg(find(decimal_day > 162.14)) * PAR_LI_old_mult;
elseif year_arg == 2008
% Calibration and unit conversion into W per m^2 for
% CNR1 variables and adjust for incorrect cal factor in
% datalogger program
sw_incoming = sw_incoming ./ cnr1_mult_old2 .* cnr1_mult;
sw_outgoing = sw_outgoing ./ cnr1_mult_old2 .* cnr1_mult;
lw_incoming = lw_incoming ./ cnr1_mult_old2 .* cnr1_mult;
lw_outgoing = lw_outgoing ./ cnr1_mult_old2 .* cnr1_mult;
% Temperature correction just for long-wave
[lw_incoming, lw_outgoing] = ...
lw_correct( lw_incoming, lw_outgoing );
% I think the LiCor was in use this year
Par_Avg = Par_Avg * PAR_LI_old_mult;
elseif year_arg >= 2009 & year_arg <= 2013
% Calibration and unit conversion into W per m^2 for
% CNR1 variables and adjust for incorrect cal factor in
% datalogger program
sw_incoming = sw_incoming ./ cnr1_mult_old2 .* cnr1_mult;
sw_outgoing = sw_outgoing ./ cnr1_mult_old2 .* cnr1_mult;
lw_incoming = lw_incoming ./ cnr1_mult_old2 .* cnr1_mult;
lw_outgoing = lw_outgoing ./ cnr1_mult_old2 .* cnr1_mult;
% temperature correction just for long-wave
[lw_incoming, lw_outgoing] = ...
lw_correct( lw_incoming, lw_outgoing );
% Use multiplier for the first K&Z Par_lite sensor since
% the PPFD data prior to its install is corrected to it
% in combine_PARavg_PARlite.m
Par_Avg = Par_Avg .* PAR_KZ_old_up_mult;
elseif year_arg == 2014
% Calibration added to datalogger programs on 01/17/2014
idx = find( decimal_day < 17.7 );
sw_incoming( idx ) = ...
sw_incoming(idx) ./ cnr1_mult_old2 .* cnr1_mult;
sw_outgoing( idx ) = ...
sw_outgoing(idx) ./ cnr1_mult_old2 .* cnr1_mult;
lw_incoming( idx ) = ...
lw_incoming(idx) ./ cnr1_mult_old2 .* cnr1_mult;
lw_outgoing( idx ) = ...
lw_outgoing(idx) ./ cnr1_mult_old2 .* cnr1_mult;
% Temperature correction just for long-wave
% FIXME - drop and use CG3CO vars?
[lw_incoming, lw_outgoing] = ...
lw_correct( lw_incoming, lw_outgoing );
% Calibration correction for the older K & Z PAR sensor.
Par_Avg( idx ) = Par_Avg( idx ) .* PAR_KZ_old_up_mult;
elseif year_arg == 2015
% Temperature correction just for long-wave
% FIXME - drop and use CG3CO vars?
[lw_incoming, lw_outgoing] = ...
lw_correct( lw_incoming, lw_outgoing );
elseif year_arg == 2016
[lw_incoming, lw_outgoing] = lw_correct( lw_incoming, lw_outgoing );
elseif year_arg == 2017
[lw_incoming, lw_outgoing] = lw_correct( lw_incoming, lw_outgoing );
end
%%%%%%%%%%%%%%%%% shrubland
case UNM_sites.SLand
% Current multiplier for CNR1
cnr1_sensitivity = 5.09; % from current program (2/6/2017)
% cnr1_sensitivity = 12.34; % from current program
cnr1_mult = 1000 / cnr1_sensitivity;
% Pre-2014 multipliers to be corrected
cnr1_mult_old1 = 163.666;
cnr1_mult_old2 = 136.99;
% PAR multipliers - see the current datalogger program
PAR_KZ_new_up_sens = 8.6; % New Par_lite sensor
PAR_KZ_old_up_sens = 4.19; % Older Par_lite
PAR_KZ_dn_sens = 8.36; % Par_lite down
PAR_LI_old_sens = 6.94; % LiCor, 2007-2009? ( Multiply by .604 )
PAR_KZ_new_up_mult = 1000 / PAR_KZ_new_up_sens;
PAR_KZ_old_up_mult = 1000 / PAR_KZ_old_up_sens;
PAR_LI_old_mult = 1000 / (PAR_LI_old_sens * .604);
if year_arg == 2007
% Calibration and unit conversion into W per m^2 for
% CNR1 variables and adjust for incorrect cal factor in
% datalogger program
% For first couple of weeks the program had one incorrect
% conversion factor (163.666)
cnr1_sensitivity = 12.34; % from current program
cnr1_mult = 1000 / cnr1_sensitivity;
idx1 = find(decimal_day >= 150.75 & decimal_day < 162.44);
sw_incoming( idx1 ) = sw_incoming( idx1 ) ...
./ cnr1_mult_old1 .* cnr1_mult;
sw_outgoing( idx1 ) = sw_outgoing( idx1 ) ...
./ cnr1_mult_old1 .* cnr1_mult;
lw_incoming( idx1 ) = lw_incoming( idx1 ) ...
./ cnr1_mult_old1 .* cnr1_mult;
lw_outgoing( idx1 ) = lw_outgoing( idx1 ) ...
./ cnr1_mult_old1 .* cnr1_mult;
% then afterward it had a different one (136.99)
idx2 = find(decimal_day >= 162.44);
sw_incoming( idx2 ) = sw_incoming( idx2 ) ...
./ cnr1_mult_old2 .* cnr1_mult;
sw_outgoing( idx2 ) = sw_outgoing( idx2 ) ...
./ cnr1_mult_old2 .* cnr1_mult;
lw_incoming( idx2 ) = lw_incoming( idx2 ) ...
./ cnr1_mult_old2 .* cnr1_mult;
lw_outgoing( idx2 ) = lw_outgoing( idx2 ) ...
./ cnr1_mult_old2 .* cnr1_mult;
% There was a strange spike on day 126
idx = find(decimal_day >= 126.4 & decimal_day < 126.9);
sw_incoming( idx ) = NaN;
% temperature correction for long-wave
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
% Estimate par from sw_incoming prior to install of li 190
Par_Avg(find(decimal_day <= 150.729)) = ...
sw_incoming(find(decimal_day <= 150.729)).*2.0292 + 3.6744;
% Calibration correction for the li190
Par_Avg(find(decimal_day > 150.729)) = ...
Par_Avg(find(decimal_day > 150.729)) * PAR_LI_old_mult;
[~,~,R] =regress(Par_Avg,[ones(length(sw_incoming),1) sw_incoming]);
out_idx = find(R <= prctile(R,0.6) | R >= prctile(R,99.95));
figure;gscatter(Par_Avg,sw_incoming,R <= prctile(R,0.60) | R >= prctile(R,99.95) );
Par_Avg(out_idx) = NaN;
elseif year_arg == 2008
cnr1_sensitivity = 12.34;
cnr1_mult = 1000 / cnr1_sensitivity;
% Calibration and unit conversion into W per m^2 for
% CNR1 variables and adjust for incorrect cal factor in
% dataloger program
sw_incoming = sw_incoming ./ cnr1_mult_old2 .* cnr1_mult;
sw_outgoing = sw_outgoing ./ cnr1_mult_old2 .* cnr1_mult;
lw_incoming = lw_incoming ./ cnr1_mult_old2 .* cnr1_mult;
lw_outgoing = lw_outgoing ./ cnr1_mult_old2 .* cnr1_mult;
% Temperature correction just for long-wave
[lw_incoming, lw_outgoing] = ...
lw_correct( lw_incoming, lw_outgoing );
% I think the LiCor was in use this year
Par_Avg = Par_Avg * PAR_LI_old_mult;
elseif year_arg >= 2009 && year_arg <= 2013
cnr1_sensitivity = 12.34; % from current program
cnr1_mult = 1000 / cnr1_sensitivity;
% Calibration and unit conversion into W per m^2 for
% CNR1 variables and adjust for incorrect cal factor in
% dataloger program
sw_incoming = sw_incoming ./ cnr1_mult_old2 .* cnr1_mult;
sw_outgoing = sw_outgoing ./ cnr1_mult_old2 .* cnr1_mult;
lw_incoming = lw_incoming ./ cnr1_mult_old2 .* cnr1_mult;
lw_outgoing = lw_outgoing ./ cnr1_mult_old2 .* cnr1_mult;
% temperature correction just for long-wave
[lw_incoming, lw_outgoing] = ...
lw_correct( lw_incoming, lw_outgoing );
% Use multiplier for the first K&Z Par_lite sensor since
% the PPFD data prior to its install is corrected to it
% in combine_PARavg_PARlite.m
Par_Avg = Par_Avg .* PAR_KZ_old_up_mult;
elseif year_arg == 2014
cnr1_sensitivity = 12.34; % from current program
cnr1_mult = 1000 / cnr1_sensitivity;
% Calibration added to datalogger programs on 01/17/2014
idx = 1:787;
sw_incoming( idx ) = ...
sw_incoming(idx) ./ cnr1_mult_old2 .* cnr1_mult;
sw_outgoing( idx ) = ...
sw_outgoing(idx) ./ cnr1_mult_old2 .* cnr1_mult;
lw_incoming( idx ) = ...
lw_incoming(idx) ./ cnr1_mult_old2 .* cnr1_mult;
lw_outgoing( idx ) = ...
lw_outgoing(idx) ./ cnr1_mult_old2 .* cnr1_mult;
% Temperature correction just for long-wave
% FIXME - drop and use CG3CO vars?
[lw_incoming, lw_outgoing] = ...
lw_correct( lw_incoming, lw_outgoing );
% Calibration correction for the older K & Z PAR sensor.
Par_Avg( idx ) = Par_Avg( idx ) .* PAR_KZ_old_up_mult;
% Fix one spiky period
idx = decimal_day > 257 & decimal_day < 267 & Par_Avg > 2100;
Par_Avg(idx) = NaN;
% Correlate PPFD and SW_In and remove outliers
[~,~,R] =regress(Par_Avg,[ones(length(sw_incoming),1) sw_incoming]);
out_idx = find(R <= prctile(R,1.6) | R >= prctile(R,99.5));
figure;gscatter(sw_incoming,Par_Avg,R <= prctile(R,1.6)|R >= prctile(R,99.5) );
Par_Avg(out_idx) = NaN;
elseif year_arg == 2015
% Temperature correction just for long-wave
% FIXME - drop and use CG3CO vars?
[lw_incoming, lw_outgoing] = ...
lw_correct( lw_incoming, lw_outgoing );
% Fix one miswired period
idx1 = decimal_day > 310.58;
Par_Avg(idx1) = -Par_Avg(idx1) - 60;
elseif year_arg == 2016
% PAR is missing January to April and later in the year.
% Replacing with Burned grass?
GLandqc = parse_fluxall_qc_file( UNM_sites.GLand, year_arg );
fillPAR = GLandqc.Par_Avg;
clear GLandqc
idx1 = 1:4962; idx2 = 15428:16962;
Par_Avg( idx1 ) = fillPAR( idx1 );
Par_Avg( idx2 ) = fillPAR( idx2 );
% CNR1 Swapped on June 22nd but sensitivity wasn't changed in
% logger program until June 30th
cnr1_sens_old = 9.92; % From logger program Shrub_CR3K_13Apr16.CR3
cnr1_mult_old = 1000/cnr1_sens_old;
idx = 8329:8702;
sw_incoming( idx ) = sw_incoming( idx )./ cnr1_mult_old .* cnr1_mult;
sw_outgoing( idx ) = sw_outgoing( idx )./ cnr1_mult_old .* cnr1_mult;
lw_incoming( idx ) = lw_incoming( idx )./ cnr1_mult_old .* cnr1_mult;
lw_outgoing( idx ) = lw_outgoing( idx )./ cnr1_mult_old .* cnr1_mult;
% FIXME - drop and use CG3CO vars?
[lw_incoming, lw_outgoing] = lw_correct( lw_incoming, lw_outgoing );
elseif year_arg == 2017
[lw_incoming, lw_outgoing] = lw_correct( lw_incoming, lw_outgoing );
end
% ----------------------------------------------------------------
% Fix shaded PPFD during morning hours (8-10 AM) in May-August in
% 2009-2013. Filling with PPFD_IN from US-Seg
% ----------------------------------------------------------------
fill_par_flag = false;
if year_arg >= 2009& year_arg <= 2013;fill_par_flag = true;end
switch fill_par_flag
case true
fillData = parse_fluxall_qc_file( UNM_sites.GLand, year_arg);
% Plot May-August morning values for Par
idx = decimal_day >= 121 & decimal_day <= 243;
days = 135:30:227;
figure;
for i = 1:length(days)
subset_jday = days(i)-10:days(i)+10;
subset_idx = decimal_day>= min(subset_jday) & ...
decimal_day <= max(subset_jday);
subset_Seg = fillData(subset_idx,:);
subset_Ses = Par_Avg(subset_idx,:);
% Accumulate similar times over these days and get the mean
[am,~,cm] = unique(subset_Seg{:,4:5},'rows');
Seg_Par = [am,accumarray(cm,subset_Seg.Par_Avg,[], @nanmean )];
Ses_Par = [am,accumarray(cm,subset_Ses,[], @nanmean)];
subplot(2,2,i);
plot( Seg_Par(:,3),':k','DisplayName','Seg'); hold on
plot( Ses_Par(:,3),'o','MarkerFaceColor',[0.3 0.29 0.95],...
'MarkerSize',5);
title( datestr(subset_Seg.timestamp(400),'mmm yyyy'));
xlim([0 48])
end
% Correlate PPFD and SW_In and remove outliers
[~,~,R] =regress(Par_Avg,[ones(length(sw_incoming),1) sw_incoming]);
out_idx = find( (R <= prctile(R,1.3) | R >= prctile(R,99.9)) & ...
(fillData.hour <= 10 & fillData.hour >= 8) & ...
(fillData.month >= 5 & fillData.month <= 8));
figure;gscatter(sw_incoming,Par_Avg,R <= prctile(R,1)|R >= prctile(R,99.9) );
title('SW/PAR Linear Model')
% If GLand is more than 100 umol greater than SLand, replace
% these values
% idx = find(fillData.Par_Avg - Par_Avg > 140 & ...
% fillData.hour <= 10 & fillData.hour >= 8 & ...
% fillData.month >= 5 & fillData.month <= 8);
% Par_Avg(idx) = fillData.Par_Avg(idx);
figure; plot(Par_Avg,':k','DisplayName','All Par'); hold on
plot(out_idx,Par_Avg(out_idx),'og','DisplayName','Ses Removed',...
'MarkerFaceColor',[0.93 0.69 0.13],...
'Marker','o',...
'LineStyle','none',...
'Color','k');
Par_Avg(out_idx) = NaN;
case false % Just do nothing
end
%%%%%%%%%%%%%%%%% juniper savanna
case UNM_sites.JSav
% Current multiplier for CNR1
cnr1_sensitivity = 10.55; % changed 4/7/2015
%cnr1_sensitivity = 6.9; % from instrument master list - changes in 2014
cnr1_mult = 1000 / cnr1_sensitivity;
% Pre-2014 multiplier to be corrected
cnr1_mult_old = 163.666;
% PAR multipliers - see the current datalogger program
PAR_KZ_new_up_sens = 8.97; % New Par_lite sensor
PAR_KZ_old_up_sens = 5.48; % Older Par_lite
PAR_KZ_dn_sens = 8.35; % Par_lite down
PAR_LI_old_sens = 5.75; % LiCor, 2007-2008? ( Multiply by .604 )
PAR_KZ_new_up_mult = 1000 / PAR_KZ_new_up_sens;
PAR_KZ_old_up_mult = 1000 / PAR_KZ_old_up_sens;
PAR_LI_old_mult = 1000 / (PAR_LI_old_sens * .604);
if year_arg == 2007
cnr1_sensitivity = 6.9; % from instrument master list - changes in 2014
cnr1_mult = 1000 / cnr1_sensitivity;
% calibration and unit conversion into W per m^2 for CNR1 variables
% convert into W per m^2
sw_incoming = sw_incoming ./ cnr1_mult_old .* cnr1_mult;
sw_outgoing = sw_outgoing ./ cnr1_mult_old .* cnr1_mult;
lw_incoming = lw_incoming ./ cnr1_mult_old .* cnr1_mult;
lw_outgoing = lw_outgoing ./ cnr1_mult_old .* cnr1_mult;
% temperature correction for long-wave
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
% calibration for LiCor PAR
Par_Avg = Par_Avg .* PAR_LI_old_mult;
elseif year_arg == 2008
cnr1_sensitivity = 6.9; % from instrument master list - changes in 2014
cnr1_mult = 1000 / cnr1_sensitivity;
% calibration and unit conversion into W per m^2 for CNR1 variables
% convert into W per m^2
sw_incoming = sw_incoming ./ cnr1_mult_old .* cnr1_mult;
sw_outgoing = sw_outgoing ./ cnr1_mult_old .* cnr1_mult;
lw_incoming = lw_incoming ./ cnr1_mult_old .* cnr1_mult;
lw_outgoing = lw_outgoing ./ cnr1_mult_old .* cnr1_mult;
% temperature correction for long-wave
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
% calibration for LiCor PAR
idx = decimal_day <= 164.022;
Par_Avg(idx) = Par_Avg(idx) .* PAR_LI_old_mult;
% calibration for par-lite
idx2 = decimal_day > 164.022;
Par_Avg(idx2) = Par_Avg(idx2) .* PAR_KZ_old_up_mult;
% Make a small correction for a wierd calibration problem
% in fall 2008
idx = decimal_day > 296.5 & decimal_day < 332;
Par_Avg( idx ) = Par_Avg( idx ) + 133;
elseif year_arg >= 2009 & year_arg <= 2013
cnr1_sensitivity = 6.9; % from instrument master list - changes in 2014
cnr1_mult = 1000 / cnr1_sensitivity;
% calibration and unit conversion into W per m^2 for CNR1 variables
% convert into W per m^2
sw_incoming = sw_incoming ./ cnr1_mult_old .* cnr1_mult;
sw_outgoing = sw_outgoing ./ cnr1_mult_old .* cnr1_mult;
lw_incoming = lw_incoming ./ cnr1_mult_old .* cnr1_mult;
lw_outgoing = lw_outgoing ./ cnr1_mult_old .* cnr1_mult;
% temperature correction for long-wave
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
% calibration for par-lite
Par_Avg = Par_Avg .* PAR_KZ_old_up_mult;
% Make a small correction for a wierd calibration problem
% at start of 2009
if year_arg == 2009
idx = decimal_day > 20.4 & decimal_day < 33.7;
Par_Avg( idx ) = Par_Avg( idx ) + 133;
end
if year_arg == 2011
idx = decimal_day >= 346.2083 & decimal_day <= 347.0417;
lw_outgoing( idx ) = NaN;
idx = [3244:3253,...
4157:4291,...
4343:4364,...
4373:4386,...
4976:5251];
lw_outgoing( idx ) = NaN;
idx = lw_outgoing < 250;
lw_outgoing( idx) = NaN;
% Correlate PPFD and SW_In and remove outliers
% [xData, yData] = prepareCurveData( 1:17520, lw_outgoing );
% [fitresult, gof, O] = fit( xData, yData, 'poly3' );
% out_idx = find(O.residuals <= prctile(O.residuals,1.6) | O.residuals >= prctile(O.residuals,99.9));
% figure;gscatter(sw_incoming,Par_Avg,R <= prctile(R,1.6)|R >= prctile(R,99.5) );
end
% Outgoing longwave was messed up for a couple periods in 2013,
% remove it.
if year_arg == 2013
idx1 = decimal_day > 185.6 & decimal_day < 205.65;
idx2 = decimal_day > 241.45 & decimal_day < 295.5;
lw_outgoing( idx1 | idx2 ) = NaN;
idx3 = sw_outgoing < -5;
sw_outgoing(idx3) = NaN;
end
elseif year_arg == 2014
% CNR1 was damaged by hail in spring and had to be replaced.
% Several sensors with different sensitivities were used for
% the next year (See logs).
% The calibration thus changed multiple times this year, but
% this should be accounted for in datalogger programs.
% Calibration in datalogger programs on 01/10/2014
idx = find(decimal_day < 10.38);
sw_incoming(idx) = ...
sw_incoming(idx) ./ cnr1_mult_old .* cnr1_mult;
sw_outgoing(idx) = ...
sw_outgoing(idx) ./ cnr1_mult_old .* cnr1_mult;
lw_incoming(idx) = ...
lw_incoming(idx) ./ cnr1_mult_old .* cnr1_mult;
lw_outgoing(idx) = ...
lw_outgoing(idx) ./ cnr1_mult_old .* cnr1_mult;
% Calibration for par-lite
Par_Avg(idx) = Par_Avg(idx) .* PAR_KZ_old_up_mult;
% Par_Avg
% Temperature correction for long-wave
% FIXME - start using CG3CO variables?
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing );
% LW outgoing and LW incoming need to be cleaned up
idx1 = decimal_day > 144.4 & decimal_day < 175.5;
idx2 = decimal_day >= 175.5 & decimal_day < 211.5;
lw_incoming( idx1 | idx2 ) = NaN;
lw_outgoing( idx2 ) = NaN;
% SW_incoming has some noise
idx = sw_incoming > 1150;
sw_incoming( idx ) = NaN;
elseif year_arg == 2015
% Temperature correction for long-wave
% FIXME - start using CG3CO variables?
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing );
elseif year_arg == 2016;
% FIXME - drop and use CG3CO vars?
[lw_incoming, lw_outgoing] = lw_correct( lw_incoming, lw_outgoing );
elseif year_arg == 2017
[lw_incoming, lw_outgoing] = lw_correct( lw_incoming, lw_outgoing );
end
%%%%%%%%%%%%%%%%% pinon juniper
case { UNM_sites.PJ , UNM_sites.TestSite }
% Current multiplier for CNR1
cnr1_sensitivity = 11.43;% 4/22/2016
%cnr1_sensitivity = 9.69; % from current datalogger program
cnr1_mult = 1000 / cnr1_sensitivity;
% This multiplier (103.199) appears correct in datalogger program
% PAR multipliers - see the current datalogger program
PAR_KZ_AMP_calibrated_up = 7.929; % From highly calibrated ameriflux PAR
PAR_KZ_AMP_calibrated_down = 7.161;% March 2014
% Multiply by ratio of new/AMP calibrated (9.06 /7.929)
PAR_KZ_new_up_sens = 9.06; % New Par_lite sensor
PAR_KZ_old_up_sens = 5.51; % Older Par_lite
PAR_KZ_dn_sens = 8.48; % Par_lite down
PAR_LI_old_sens = 7.27; % LiCor, 2007-2009? ( Multiply by .604 )
PAR_KZ_new_up_mult = 1000 / PAR_KZ_new_up_sens;
PAR_KZ_old_up_mult = 1000 / PAR_KZ_old_up_sens;
PAR_LI_old_mult = 1000 / PAR_LI_old_sens * .604;
if year_arg == 2007
% this is the wind correction factor for the Q*7
NR_tot(find(NR_tot < 0)) = NR_tot(find(NR_tot < 0)) ...
.*10.74.*((0.00174.*wnd_spd(find(NR_tot < 0))) + 0.99755);
NR_tot(find(NR_tot > 0)) = NR_tot(find(NR_tot > 0)) ...
.*8.65.*(1 + (0.066.*0.2.*wnd_spd(find(NR_tot > 0))) ...
./(0.066 + (0.2.*wnd_spd(find(NR_tot > 0)))));
% now correct pars; see notes on PJ methodology for this relationship
Par_Avg = NR_tot.*2.7828 + 170.93;
sw_incoming = Par_Avg.*0.4577 - 1.8691;
elseif year_arg == 2008
% CNR1 not functioning until June 19
preCNR1_idx = decimal_day <= 171.5;
CNR1idx = find(decimal_day > 171.5);
% this is the wind correction factor for the Q*7
NR_idx_1 = find(preCNR1_idx & NR_tot < 0);
NR_tot(NR_idx_1) = NR_tot(NR_idx_1).*10.74 ...
.*((0.00174.*wnd_spd(NR_idx_1)) + 0.99755);
NR_idx_2 = find(preCNR1_idx & NR_tot > 0);
NR_tot(NR_idx_2) = NR_tot(NR_idx_2).*8.65 ...
.*(1 + (0.066.*0.2.*wnd_spd(NR_idx_2)) ...
./(0.066 + (0.2.*wnd_spd(NR_idx_2))));
% Now correct pars
% There doesn't seem to be any NR_tot data prior to day 42, so
% I am just setting it to NaN - GEM
Par_Avg(find(decimal_day < 42.6)) = NaN; %...
% NR_tot(find(decimal_day < 42.6)).*2.7828 + 170.93;
% calibration for par-lite installed on 2/11/08
Par_Avg(find(decimal_day > 42.6)) = ...
Par_Avg(find(decimal_day > 42.6)) .* PAR_KZ_old_up_mult;
% Prior to fixed CNR1, estimate SW_IN from PAR
sw_incoming(find(preCNR1_idx)) = ...
Par_Avg(find(preCNR1_idx)).*0.4577 - 1.8691;
% Temperature correction just for long-wave
[lw_incoming, lw_outgoing] = ...
lw_correct(lw_incoming, lw_outgoing, CNR1idx);
%What is this?
% hour_0700 = 7.0 / 24.0;
% hour_1730 = 17.5 / 24.0;
% frac_day = decimal_day - floor( decimal_day );
% early_year_is_night = ( decimal_day < 42.6 ) & ...
% ( ( frac_day < hour_0700 ) | ( frac_day > hour_1730 ) );
% sw_incoming( early_year_is_night & ( abs( sw_incoming ) > 5 ) ) = NaN;
% sw_outgoing( early_year_is_night & ( abs( sw_incoming ) > 5 ) ) = NaN;
% Par_Avg( early_year_is_night & ( abs( sw_incoming ) > 5 ) ) = NaN;
elseif year_arg == 2009
% Calibrate par-lite installed on 2/11/08
Par_Avg = Par_Avg .* PAR_KZ_old_up_mult;
[~,~,R] =regress(Par_Avg,[ones(length(sw_incoming),1) sw_incoming]);
out_idx = find(R <= prctile(R,1.6));
Par_Avg(out_idx) = NaN;
% Temperature correction just for long-wave
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
elseif year_arg == 2010
% Calibrate par-lite installed on 2/11/08
Par_Avg = Par_Avg .* PAR_KZ_old_up_mult;
[~,~,R] =regress(Par_Avg,[ones(length(sw_incoming),1) sw_incoming]);
out_idx = find(R <= prctile(R,1.6) );
figure;gscatter(sw_incoming,Par_Avg,R >= prctile(R,1.6) );
Par_Avg(out_idx) = NaN;
% Temperature correction just for long-wave
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
elseif year_arg == 2011
% Calibrate par-lite installed on 2/11/08
Par_Avg = Par_Avg .* PAR_KZ_old_up_mult;
[~,~,R] =regress(Par_Avg,[ones(length(sw_incoming),1) sw_incoming]);
figure; gscatter(sw_incoming,Par_Avg,R >= prctile(R,1.6) );
out_idx = find(R <= prctile(R,1.6));
Par_Avg(out_idx) = NaN;
% Temperature correction just for long-wave
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
elseif year_arg == 2012
% Calibrate par-lite installed on 2/11/08
Par_Avg = Par_Avg .* PAR_KZ_old_up_mult;
[~,~,R] =regress(Par_Avg,[ones(length(sw_incoming),1) sw_incoming]);
figure;gscatter(sw_incoming,Par_Avg,R >= prctile(R,1.6) );
out_idx = find(R <= prctile(R,1.6) );
Par_Avg(out_idx) = NaN;
% Temperature correction just for long-wave
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
elseif year_arg == 2013
% Calibrate par-lite installed on 2/11/08
Par_Avg = Par_Avg .* PAR_KZ_old_up_mult;
% Temperature correction just for long-wave
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
elseif year_arg == 2014
% Cals added to datalogger programs on 01/10/2014
% Calibrate par-lite installed on 2/11/08
Par_Avg(find(decimal_day < 10.6)) = ...
Par_Avg(find(decimal_day < 10.6)) .* PAR_KZ_old_up_mult;
% 6/18/2014 , new par sensors installed.
idx = find( decimal_day > 169.1875 ) ;
Par_Avg( idx ) = Par_Avg (idx ) * (PAR_KZ_new_up_sens / PAR_KZ_AMP_calibrated_up) ;
% Entire year needs lw temperature correction - GEM
% FIXME - start using CG3CO vars?
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
elseif year_arg == 2015
% Fixing bad calibration value
Par_Avg = Par_Avg * (PAR_KZ_new_up_sens / PAR_KZ_AMP_calibrated_up);
% FIXME - start using CG3CO vars?
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
elseif year_arg == 2016;
% CNR1 020479 was swapped in, but program not loaded until a
% few days later.
cnr1_sensitivity_old = 9.69; % Prior to 2016-04-22
cnr1_mult_old = 1000 / cnr1_sensitivity_old;
CNR1idx = find(decimal_day > 113.3750 & decimal_day < 130.3750);
sw_incoming(CNR1idx) = sw_incoming(CNR1idx) ./ cnr1_mult_old .* cnr1_mult;
sw_outgoing(CNR1idx) = sw_outgoing(CNR1idx) ./ cnr1_mult_old .* cnr1_mult;
lw_incoming(CNR1idx) = lw_incoming(CNR1idx) ./ cnr1_mult_old .* cnr1_mult;
lw_outgoing(CNR1idx) = lw_outgoing(CNR1idx) ./ cnr1_mult_old .* cnr1_mult;
% Fixing bad calibration value
Par_Avg = Par_Avg * (PAR_KZ_new_up_sens / PAR_KZ_AMP_calibrated_up);
% Remove outliers
[~,~,R] =regress(Par_Avg,[ones(length(sw_incoming),1) sw_incoming]);
out_idx = find(R >= prctile(R,99.9) | Par_Avg < - 10 );
Par_Avg(out_idx) = NaN;
% FIXME - drop and use CG3CO vars?
[lw_incoming, lw_outgoing] = lw_correct( lw_incoming, lw_outgoing );
elseif year_arg == 2017;
% 6/18/2014 , new par sensors installed.
idx = find( decimal_day < 121 ) ;
Par_Avg( idx ) = Par_Avg (idx ) * (PAR_KZ_new_up_sens / PAR_KZ_AMP_calibrated_up) ;
[lw_incoming, lw_outgoing] = lw_correct( lw_incoming, lw_outgoing );
end
%%%%%%%%%%%%%%%%% pj girdle
case UNM_sites.PJ_girdle
% Current multiplier for CNR1
cnr1_sensitivity = 10.72 % swapped in 2/1/16
%cnr1_sensitivity = 10.25; % from current datalogger program
cnr1_mult = 1000 / cnr1_sensitivity;
% This multiplier (97.561) was pretty close, but not exactly
% correct in old datalogger program (was about 100)
% PAR multipliers - see the current datalogger program
PAR_KZ_up_sens = 5.8; % Par_lite sensor up
PAR_LI_dn_sens = 7.37; % Licor down ( Multiply by .604 )
PAR_KZ_up_mult = 1000 / PAR_KZ_up_sens;
PAR_LI_dn_mult = 1000 / PAR_LI_dn_sens * .604;
% Correct longwave
if year_arg==2009
% Temperature correction happened correctly for the first part
% of 2009, but not for the second part.
idx = decimal_day > 113.5 & decimal_day <= 366.0;
[lw_incoming, lw_outgoing] = ...
lw_correct(lw_incoming, lw_outgoing, idx );
elseif year_arg==2014
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
% Fix some strange PAR drops in 2014
idx = decimal_day > 50 & decimal_day < 77 & Par_Avg < -1;
Par_Avg( idx ) = NaN;
else
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
end
% Apply a linear correction to lw_incoming because the sensor is
% off a little from the PJ control site
if year_arg == 2009
slp = 0.91; % Slope from analysis of 2009-2013 data
icpt = 39.714; % Intercept from analysis of 2009-2013 data
elseif year_arg == 2010
slp = 0.92;
icpt = 36.688;
elseif year_arg == 2011
slp = 0.918;
icpt = 37.696;
elseif year_arg == 2012
slp = 0.925;
icpt = 35.944;
elseif year_arg == 2013
slp = 0.899;
icpt = 34.387;
else % Otherwise use an average of the other years
slp = 0.914;
icpt = 36.8858;
end
lw_incoming = linfit_var(lw_incoming, slp, icpt);
% FIXME Note for 2016 - there is a period of incorrect calibration
% from 22-1-2016 until 18-3-2016. Need to put them in here!
%%%%%%%%%%%%%%%%% ponderosa pine
case UNM_sites.PPine
% Multipliers for CNR1
% A CNR1 was damaged, removed 11/13/12 for repair,
% prior to repair sensitivity = 6.11
cnr1_mult_old = 1000 / 6.11;
% The more recent CNR1 (recalibrated, and reinstalled 5/02/13)
% had sensitivity of 7.0
cnr1_mult = 1000 / 7.0;
% I think the dates on these installs/calibrations and the
% application of the correct multipliers has been lost and mixed up
% over the years (Not much in logs). I try to correct it, but I
% have fairly low confidence that it is correct. GEM
% There was also a CNR2 briefly (see below in 2012 case for
% details)
%
% Final note - the lw_incoming (up) on the CNR1 was broken for many
% years, beginning in summer 2007. Daytime longwave_in is removed
% here and it can be filled in with modeled radiation.
% (maybe model lw incoming based on air T? Look up
% Brutsaert method and some Marks/Dozier papers).
% PAR multipliers - see the current datalogger program
PAR_KZ_new_up_sens = 8.69; % New Par_lite sensors
PAR_KZ_new_dn_sens = 8.37;
PAR_KZ_old_up_sens = 5.25; % Older Par_lite
PAR_LI_old_sens = 6.75; % Licor down ( Multiply by .604 )
PAR_KZ_old_up_mult = 1000 / PAR_KZ_old_up_sens;
PAR_LI_old_mult = 1000 / (PAR_LI_old_sens * .604);
% NOTE: For the most part PPine radiation values are calibrated and
% unit converted in the datalogger programs, but they should be
% checked
if year_arg == 2007
% daytime lw_incoming failed after July - remove it
idx = decimal_day > 200.45 & sw_incoming > 25;
lw_incoming( idx ) = nan;
idx = decimal_day > 200.45 & lw_incoming > 5;
lw_incoming( idx ) = nan;
% temperature correction just for long-wave
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
% Apply correct calibration value 7.37, SA190 manual section 3-1
Par_Avg = Par_Avg .* PAR_LI_old_mult;
elseif year_arg == 2008
% daytime lw_incoming failed this year - remove it
idx = lw_incoming > 5 | sw_incoming > 25;
lw_incoming( idx ) = nan;
% temperature correction just for long-wave
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
% calibration for Licor sesor
idx = decimal_day > 99.5 & decimal_day < 190.5;
Par_Avg( idx ) = NaN;
idx = decimal_day > 210 & decimal_day < 223;
Par_Avg( idx ) = NaN;
% Apply correct calibration value 7.37, SA190 manual section 3-1
idx = decimal_day < 224.75;
Par_Avg( idx ) = Par_Avg( idx ) .* PAR_LI_old_mult;
% calibration for par-lite sensor
idx = decimal_day >= 224.75;
Par_Avg( idx ) = Par_Avg( idx ) .* PAR_KZ_old_up_mult;
elseif year_arg >= 2009 & year_arg <= 2012
% daytime lw_incoming failed this year - remove it
idx = lw_incoming > 5 | sw_incoming > 25;
lw_incoming( idx ) = nan;
% CNR1 multiplier was good in these years
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
Par_Avg = Par_Avg .* PAR_KZ_old_up_mult;
% Fill missing LWin with correlated MCon LWin
figure;
fillData = parse_fluxall_qc_file(UNM_sites.MCon, year_arg);
idx = find(isnan(lw_incoming));
lw_incoming( idx) = 0.95.*fillData.lw_incoming(idx) + 34.12;
plot(decimal_day,lw_incoming,'k');hold on
plot(decimal_day(idx),lw_incoming( idx),'.r')
legend('Gaps','filled')
title('Daytime LW_{in}, linear correlation with MCon')
fprintf('PPine LW_in filling not implemented in RBD currently \n')
% NOTE that there was a CNR2 installed here in late 2012
% through mid 2013 that never seemed to work.
clear fillData lw_incoming_mcon
elseif year_arg == 2013
% CNR1 calibration factor was wrong from 11/19/2013 through
% 01/15/2014 (it was the old one).
idx = decimal_day > 323.7 & decimal_day <= 366.0;
sw_incoming( idx ) = ...
sw_incoming( idx ) / cnr1_mult_old * cnr1_mult;
lw_incoming( idx ) = ...
lw_incoming( idx ) / cnr1_mult_old * cnr1_mult;
sw_outgoing( idx ) = ...
sw_outgoing( idx ) / cnr1_mult_old * cnr1_mult;
lw_outgoing( idx ) = ...
lw_outgoing( idx ) / cnr1_mult_old * cnr1_mult;
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
% Cal applied in program after Dec 28
idx = decimal_day < 362.5;
Par_Avg( idx ) = Par_Avg( idx ) .* PAR_KZ_old_up_mult;
elseif year_arg == 2014
% CNR1 calibration factor was wrong from 05/02/2013 through
% 01/15/2014 (it was the old one).
idx = decimal_day > 0.0 & decimal_day <= 15.6;
sw_incoming( idx ) = ...
sw_incoming( idx ) / cnr1_mult_old * cnr1_mult;
lw_incoming( idx ) = ...
lw_incoming( idx ) / cnr1_mult_old * cnr1_mult;
sw_outgoing( idx ) = ...
sw_outgoing( idx ) / cnr1_mult_old * cnr1_mult;
lw_outgoing( idx ) = ...
lw_outgoing( idx ) / cnr1_mult_old * cnr1_mult;
% Temp-correct longwave
% FIXME - should we just use CG3co values?
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
elseif year_arg == 2015
% Temp-correct longwave
% FIXME - should we just use CG3co values?
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
elseif year_arg == 2016
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
elseif year_arg == 2017
[lw_incoming, lw_outgoing] = lw_correct( lw_incoming, lw_outgoing );
end
%%%%%%%%%%%%%%%%% mixed conifer
case UNM_sites.MCon
% Current multiplier for CNR1
cnr1_sensitivity = 9.96;
cnr1_mult = 1000 / cnr1_sensitivity;
% PAR multipliers - see the current datalogger program
PAR_KZ_new_up_sens = 8.17; % New Par_lite sensors
PAR_KZ_new_dn_sens = 8.74;
PAR_KZ_old_up_sens = 5.65; % Older Par_lite
PAR_LI_old_dn_sens = 6.33; % Licor down ( Multiply by .604 )
PAR_KZ_old_up_mult = 1000 / PAR_KZ_old_up_sens;
PAR_LI_old_dn_mult = 1000 / PAR_LI_old_dn_sens * .604;
% NOTE: For the most part MCon radiation values are calibrated and
% unit converted in the datalogger programs, but they should be
% checked
if year_arg >= 2006 & year_arg <= 2008
% No idea if this is the correct "old" multiplier, just trying
% to make data match with 2009 forward - GEM
cnr1_mult_old = 1000/11.0;
idx = decimal_day > 115;
sw_incoming(idx) = ...
sw_incoming(idx) / cnr1_mult_old * cnr1_mult;
% temperature correction just for long-wave
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
% LW in is garbage this year. Remove. The range is higher than
% all other years, though it appears to have the same
% cumulative distribution, just shifted up ~ 40 W/m2. Could be
% modeled later.
lw_incoming(:) = NaN;
% calibration for par-lite sensor
Par_Avg = Par_Avg * PAR_KZ_old_up_mult;
elseif year_arg >= 2009 & year_arg < 2012
% temperature correction just for long-wave
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
% calibration for par-lite sensor
Par_Avg = Par_Avg * PAR_KZ_old_up_mult;
elseif year_arg == 2012
% There are a bunch of "stuck" PPFD periods to remove
PAR_diff = diff( Par_Avg );
rem_idx = PAR_diff == 0;
Par_Avg( rem_idx ) = NaN;
% And one period with bad SW_in and SW_out
rem_idx = decimal_day > 254.4 & decimal_day < 263.7;
sw_incoming( rem_idx ) = NaN;
sw_outgoing( rem_idx ) = NaN;
NR_tot( rem_idx ) = NaN;
% temperature correction just for long-wave
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
% calibration for par-lite sensor
Par_Avg = Par_Avg * PAR_KZ_old_up_mult;
elseif year_arg == 2013
% temperature correction just for long-wave
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
% calibration for par-lite sensor, after this it is in
% datalogger program
idx = decimal_day > 0.0 & decimal_day < 122.5;
Par_Avg( idx ) = Par_Avg( idx ) * PAR_KZ_old_up_mult;
elseif year_arg == 2014
% temperature correction just for long-wave;
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
% Bad PPFD values early in 2014 - GEM
Par_Avg(find(decimal_day > 52.0 & decimal_day < 107.0)) = NaN;
elseif year_arg == 2015
% After the solar scaffold collapsed the CNR1 was miswired for
% a little while.
idx = decimal_day > 338.5;
patch = lw_incoming( idx );
lw_incoming( idx ) = sw_outgoing ( idx );
sw_outgoing( idx ) = patch;
idx = decimal_day > 328.61 & decimal_day < 338.58;
lw_outgoing( idx ) = NaN;
% Temp-correct longwave
% FIXME - should we just use CG3co values?
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
elseif year_arg == 2016
%There were two times over the year where the CNR4 was
%incorrectly wired.
lw_in_temp = lw_incoming;
sw_out_temp = sw_outgoing;
sw_in_temp = sw_incoming;
idx = decimal_day >= 1 & decimal_day <= 28.4583;
lw_incoming( idx ) = sw_out_temp( idx );
sw_outgoing( idx ) = lw_in_temp( idx );
idx = decimal_day > 28.44 & decimal_day <= 64.4583;
sw_incoming( idx ) = sw_out_temp( idx );
lw_incoming( idx ) = sw_in_temp( idx );
sw_outgoing( idx ) = lw_in_temp( idx );
% Temp-correct longwave
[lw_incoming, lw_outgoing] = lw_correct(lw_incoming, lw_outgoing);
elseif year_arg == 2017
[lw_incoming, lw_outgoing] = lw_correct( lw_incoming, lw_outgoing );
end
%%%%%%%%%%%%%%%%% texas
case UNM_sites.TX
% calibration for the li-190 par sensor - sensor had many high
% values, so delete all values above 6.5 first
switch year_arg
case 2007
Par_Avg( Par_Avg > 6.5 ) = NaN;
case { 2008, 2009 }
Par_Avg( Par_Avg > 15.0 ) = NaN;
case 2010
Par_Avg( Par_Avg > 14.5 ) = NaN;
case 2012
Par_Avg( Par_Avg > 14.5 ) = NaN;
end
Par_Avg = Par_Avg.*1000./(6.16.*0.604);
if year_arg == 2005 || year_arg == 2006 || year_arg == 2007
% wind corrections for the Q*7
NR_tot(find(NR_tot < 0)) = NR_tot(find(NR_tot < 0)).*10.91 ...
.*((0.00174.*wnd_spd(find(NR_tot < 0))) + 0.99755);
NR_tot(find(NR_tot > 0)) = NR_tot(find(NR_tot > 0)).*8.83 ...
.*(1 + (0.066.*0.2.*wnd_spd(find(NR_tot > 0))) ...
./(0.066 + (0.2.*wnd_spd(find(NR_tot > 0)))));
% pyrronometer corrections
sw_incoming = sw_incoming.*1000./27.34;
sw_outgoing = sw_outgoing.*1000./19.39;
elseif year_arg == 2008 || year_arg == 2009
% par switch to par-lite on ??
end
[ ~, ~, ~, hr, ~, ~ ] = datevec( datenum( year_arg, 1, 0 ) + decimal_day );
isnight = ( Par_Avg < 20.0 ) | ( sw_incoming < 20 );
isnight = isnight | ( hr >= 22 ) | ( hr <= 5 );
% remove nighttime Rg and RgOut values outside of [ -5, 5 ]
% added 15 Jun 2013 in response to problems noted by Sebastian Wolf
sw_incoming( isnight & ( abs( sw_incoming ) > 10 ) ) = NaN;
sw_outgoing( isnight & ( abs( sw_outgoing ) > 10 ) ) = NaN;
Par_Avg( isnight & ( abs( Par_Avg ) > 10 ) ) = NaN;
case UNM_sites.TX_forest
% for TX forest 2009, there was no PAR observation in the fluxall file on
% 15 Mat 2012. We substituted in PAR from the TX savana site. -- TWH &
% ML
if year_arg == 2009