%======================================================================

%                    G E T E R R . M 

%                    doc: Wed Jun 30 23:24:51 2004

%                    dlm: Wed Jul  6 20:26:14 2011

%                    (c) 2004 ladcp@

%                    uE-Info: 19 35 NIL 0 0 72 2 2 8 NIL ofnI

%======================================================================

% MODIFICATIONS BY ANT:

%  Jun 30, 2004: - BUG: bin numbering was wrong for asymmetric up/down

%	                bin setup

%  Jul  5, 2004: - added comments to debug depth mapping

%  Jul 16, 2004: - added global variable skip_figure_3 to workaround

%		   linux matlab bug

%  Oct  7, 2008: - extensively modified procfig 3 for version IX_6

%  Jun 29, 2011: - removed skp_figure_3

%		 - added ps.fig3_colormap, ps.fig3_err_y_axis, ps.fig3_avgerr

%  Jun 30, 2011: - fixed fig.3 middle column plot title for median plot

%  Jul  6, 2001: - fixed plot title

function l=geterr(ps,dr,d,iplot)

% function l=geterr(dr,d,iplot)

% returns predicitons of U_ocean and

% U_ctd on the raw data grid

% 

% CTD velocity

if nargin<4, iplot=1; end

ps=setdefv(ps,'fig3_colormap',2);	% 1: jet	2: polar

ps=setdefv(ps,'fig3_err_y_axis',2);	% 1: bin#	2: depth

ps=setdefv(ps,'fig3_avgerr',2');	% 1: mean	2: median 

tim=dr.tim;

tim(1)=-1e30;

tim(end)=1e30;

uctd=-interp1q(tim',dr.uctd',d.time_jul');

vctd=-interp1q(tim',dr.vctd',d.time_jul');

[ib,it]=size(d.ru);

wm=medianan(d.rw,3);

wz=gradient(-d.z,d.time_jul*24*3600);

l.ru_ctd=meshgrid(uctd,1:ib)+d.weight*0;

l.rv_ctd=meshgrid(vctd,1:ib)+d.weight*0;

l.rw_ctd=meshgrid(wm,1:ib)+d.weight*0;

l.rw_ctd_z=meshgrid(wz,1:ib)+d.weight*0;

if existf(d,'wctd')

 l.rw_ctd_p=meshgrid(d.wctd,1:ib)+d.weight*0;

end

% OCEAN velocity

z=-d.izm+d.ru*0;

dz=diff(d.izm(:,1))';

ii=find(z>=min(dr.z) & z<=max(dr.z));

uoce=interp1q(dr.z,dr.u,z(ii));

voce=interp1q(dr.z,dr.v,z(ii));

[prof,bin]=meshgrid(1:it,1:ib);

l.ru_oce=full(sparse(bin(ii),prof(ii),uoce));

l.rv_oce=full(sparse(bin(ii),prof(ii),voce));

l.ru_oce(ib,it)=NaN;

l.rv_oce(ib,it)=NaN;

l.ru_oce=l.ru_oce+d.weight*0;

l.rv_oce=l.rv_oce+d.weight*0;

ii=find(l.ru_oce==0 & l.rv_oce==0);

l.ru_oce(ii)=NaN;

l.rv_oce(ii)=NaN;

% ocean velocity as a function of depth and time

					% ib is number of bins

					% it is number of times (super ensembles)

itm=meshgrid(1:it,1:ib);		% each of ib rows of itm contains 1:it

					% d.izm contains for each time (colums),

					% list of absolute depths for each bin

dzdo=mean(abs(diff(d.izm(d.izd,1))));	% dzdo contains sound-speed corrected

					% mean bin length of downlooker at surface

					% NB: at depth, bins are smaller, because

					%     of increased soundspeed!

if length(d.izu)>1			% uplooker bin length

 dzup=mean(abs(diff(d.izm(d.izu,1))));

else

 dzup=dzdo;

end

dz=min([dzdo dzup]);			% dz is min bin length near surface

iz=-(d.izm/dz);				% iz is d.izm with depth coordinate given

					% as distance from surface, measured in 

					% near-surface bin lengths 

					% d.ru contains super-ensemble velocities

					% dr.z contains output depth grid

ii=find(isfinite(d.ru) & iz>0 & iz<max(dr.z)/dz);

					% ii contains indices (valid for d.ru,

					% d.izm, iz, ...) with valid velocities,

					% inside the output depth grid

ij=find( iz>0 & iz<max(dr.z)/dz);	% ij contains same as ii but also for

					% invalid velocities

if abs(dzup-dzdo)>dzup*0.1

 disp([' sorry dz not constant loop ',int2str(length(ii)),' elements'])

 for j=1:length(ii)

  iiz=ceil(iz(ii(j)));

  iit=itm(ii(j));

  l.u_oce(iiz,iit)=d.ru(ii(j))-l.ru_ctd(ii(j));

  l.u_err(iiz,iit)=d.ru(ii(j))-l.ru_oce(ii(j))-l.ru_ctd(ii(j));

  l.v_oce(iiz,iit)=d.rv(ii(j))-l.rv_ctd(ii(j));

  l.v_err(iiz,iit)=d.rv(ii(j))-l.rv_oce(ii(j))-l.rv_ctd(ii(j));

  l.w_oce(iiz,iit)=d.rw(ii(j))-l.rw_ctd(ii(j));

  l.w_oce_z(iiz,iit)=d.rw(ii(j))-l.rw_ctd_z(ii(j));

  if existf(l,'rw_ctd_p')

   l.w_oce_p(iiz,iit)=d.rw(ii(j))-l.rw_ctd_p(ii(j));

  end

  if existf(d,'tg')

   l.tg_oce(iiz,iit)=d.tg(ii(j));

  end

  l.u_ocean(iiz,iit)=l.ru_oce(ii(j));

  l.v_ocean(iiz,iit)=l.rv_oce(ii(j));

  l.u_adcp(iiz,iit)=d.ru(ii(j));

  l.v_adcp(iiz,iit)=d.rv(ii(j));

 end

else % uplooker and downlooker bin sizes are equal

 l.u_oce=full(sparse(ceil(iz(ii)),itm(ii),d.ru(ii)-l.ru_ctd(ii)));

 l.u_err=full(sparse(ceil(iz(ii)),itm(ii),d.ru(ii)-l.ru_oce(ii)-l.ru_ctd(ii)));

 l.v_oce=full(sparse(ceil(iz(ii)),itm(ii),d.rv(ii)-l.rv_ctd(ii)));

 l.v_err=full(sparse(ceil(iz(ii)),itm(ii),d.rv(ii)-l.rv_oce(ii)-l.rv_ctd(ii)));

 l.w_oce=full(sparse(ceil(iz(ii)),itm(ii),d.rw(ii)-l.rw_ctd(ii)));

 l.w_oce_z=full(sparse(ceil(iz(ii)),itm(ii),d.rw(ii)-l.rw_ctd_z(ii)));

 if existf(l,'rw_ctd_p')

  l.w_oce_p=full(sparse(ceil(iz(ii)),itm(ii),d.rw(ii)-l.rw_ctd_p(ii)));

 end

 if existf(d,'tg')

  l.tg_oce=full(sparse(ceil(iz(ij)),itm(ij),d.tg(ij)));

 end

 l.u_ocean=full(sparse(ceil(iz(ii)),itm(ii),l.ru_oce(ii)));

 l.v_ocean=full(sparse(ceil(iz(ii)),itm(ii),l.rv_oce(ii)));

 l.u_adcp=full(sparse(ceil(iz(ii)),itm(ii),d.ru(ii)));

 l.v_adcp=full(sparse(ceil(iz(ii)),itm(ii),d.rv(ii)));

end

ik=find(l.u_oce==0 & l.v_oce==0);

l.u_oce(ik)=NaN;

l.v_oce(ik)=NaN;

l.w_oce(ik)=NaN;

l.w_oce_z(ik)=NaN;

if existf(l,'rw_ctd_p')

 l.w_oce_p(ik)=NaN;

end

l.u_adcp(ik)=NaN;

l.v_adcp(ik)=NaN;

if existf(d,'tg')

 ik=find(l.tg_oce==0);

 l.tg_oce(ik)=NaN;

end

[lz,lt]=size(l.u_oce);

l.itv=1:lt;

l.z_oce=([1:lz]-.5)*dz;

l.u_oce_m=meannan(l.u_oce');

l.v_oce_m=meannan(l.v_oce');

l.u_oce_s=stdnan(l.u_oce');

l.v_oce_s=stdnan(l.v_oce');

l.ru_err=d.ru-l.ru_oce-l.ru_ctd;

l.rv_err=d.rv-l.rv_oce-l.rv_ctd;

l.izm=d.izm;

[lz,lt]=size(l.ru_err);

l.itv2=1:lt;

if iplot

% blank out shallow/deep estimates

ii=find(iz<0 | iz>max(dr.z)/dz);

d.ru(ii)=nan;

d.rv(ii)=nan;

   figure(3)

   clf

   orient landscape

   if ps.fig3_colormap == 2

     colormap(polarmap(21));

   else

     col=jet(128);

     col=([[1 1 1]; col]);

     colormap(col)

   end

   ib=1:size(l.ru_err,1);

   ib=ib-length(d.izu);

   subplot(231)

   if ps.fig3_err_y_axis == 2

     if ps.fig3_colormap == 2

       tmp = l.u_err; tmp(isnan(tmp)) = 0;

       pcolorn(l.itv,-l.z_oce,tmp), shading flat

     else

       pcolorn(l.itv,-l.z_oce,l.u_err), shading flat

     end

     ylabel('Depth [m]');

   else

     if ps.fig3_colormap == 2

       tmp = l.ru_err; tmp(isnan(tmp)) = 0;

       pcolorn(l.itv2,-ib,tmp), shading flat

     else

       pcolorn(l.itv2,-ib,l.ru_err), shading flat

     end

     ylabel('Bin #');

   end

   fac=meannan(l.u_oce_s);

   fac=max([fac,1e-2]);

   caxis([-3 3]*fac)

   colorbar

   xlabel('Super Ensemble #');

   title(sprintf('U-err std: %.03f',meannan(stdnan(l.ru_err'))))

   subplot(232)

   if ps.fig3_avgerr == 2

     plot(medianan(l.ru_err')',-ib)

     title('median(U-err)')

   else

     plot(meannan(l.ru_err')',-ib)

     title('mean(U-err)')

   end

   set(gca,'XLim',[-0.05 0.05]);

   set(gca,'Ylim',[-ib(end) -ib(1)]);

   set(gca,'Xtick',[-0.04:0.02:0.04]);

   grid

   xlabel('Residual [m/s]');

   ylabel('Bin #');

   subplot(233)

   if ps.fig3_colormap == 2

     tmp = l.u_oce; tmp(isnan(tmp)) = 0;

     pcolorn(l.itv,-l.z_oce,tmp), shading flat

   else

     pcolorn(l.itv,-l.z_oce,l.u_oce), shading flat

   end

   ca = caxis;

   if abs(ca(1)) > abs(ca(2))

    caxis([-abs(ca(1)) abs(ca(1))]);

   else 

    caxis([-abs(ca(2)) abs(ca(2))]);

   end

   if existf(dr,'zbot')

    hold on

    plot(-d.z+d.hbot,'.k')

    ax=axis;

    ax(4)=maxnan([-d.z+d.hbot,ax(4)]);

    axis(ax);

   end

   colorbar

   xlabel('Ensemble #');

   ylabel('Depth [m]');

   title('U_{oce}')

   subplot(234)

   if ps.fig3_err_y_axis == 2

     if ps.fig3_colormap == 2

       tmp = l.v_err; tmp(isnan(tmp)) = 0;

       pcolorn(l.itv,-l.z_oce,tmp), shading flat

     else

       pcolorn(l.itv,-l.z_oce,l.v_err), shading flat

     end

     ylabel('Depth [m]');

   else

     if ps.fig3_colormap == 2

       tmp = l.rv_err; tmp(isnan(tmp)) = 0;

       pcolorn(l.itv2,-ib,tmp), shading flat

     else

       pcolorn(l.itv2,-ib,l.rv_err), shading flat

     end

     ylabel('Bin #');

   end

   fac=meannan(l.v_oce_s);

   fac=max([fac,1e-2]);

   caxis([-3 3]*fac)

   colorbar

   xlabel('Super Ensemble #');

   ylabel('Bin #');

   title(sprintf('V-err std: %.03f',meannan(stdnan(l.rv_err'))))

   subplot(235)

   if ps.fig3_avgerr == 2

     plot(medianan(l.rv_err')',-ib)

     title('median(V-err)')

   else

     plot(meannan(l.rv_err')',-ib)

     title('mean(V-err)')

   end

   set(gca,'XLim',[-0.05 0.05]);

   set(gca,'Ylim',[-ib(end) -ib(1)]);

   set(gca,'Xtick',[-0.04:0.02:0.04]);

   grid

   xlabel('Residual [m/s]');

   ylabel('Bin #');

   subplot(236)

   if ps.fig3_colormap == 2

     tmp = l.v_oce; tmp(isnan(tmp)) = 0;

     pcolorn(l.itv,-l.z_oce,tmp), shading flat

   else

     pcolorn(l.itv,-l.z_oce,l.v_oce), shading flat

   end

   ca = caxis;

   if abs(ca(1)) > abs(ca(2))

    caxis([-abs(ca(1)) abs(ca(1))]);

   else 

    caxis([-abs(ca(2)) abs(ca(2))]);

   end

   if existf(dr,'zbot')

    hold on

    plot(-d.z+d.hbot,'.k')

    ax=axis;

    ax(4)=maxnan([-d.z+d.hbot,ax(4)]);

    axis(ax);

   end

   colorbar

   xlabel('Ensemble #');

   ylabel('Depth [m]');

   title('V_{oce}')

   streamer([dr.name,'  Figure 3']);

% reset colormap

figure(11)

colormap(jet(128))

end

%======================================================================

%                    P O L A R M A P . M 

%                    doc: Tue Oct  7 11:03:28 2008

%                    dlm: Tue Oct  7 11:13:04 2008

%                    (c) 2008 A.M. Thurnherr

%                    uE-Info: 21 51 NIL 0 0 72 0 2 8 NIL ofnI

%======================================================================

function map = polarmap(n)

if nargin<1, n=129, end;	% same as for jet()

map = ones(n,3);

firstred  = ceil(n/2) + 1;

lastblue = floor(n/2);

map([1:lastblue],1) = [0:lastblue-1]'/lastblue;

map([1:lastblue],2) = [0:lastblue-1]'/lastblue;

map([firstred:end],2) = [lastblue-1:-1:0]'/lastblue;

map([firstred:end],3) = [lastblue-1:-1:0]'/lastblue;