source: trunk/src/paper01/fig3/q2m_validation_scatter_2000_2009_v50.pro @ 182

;+
;
; .. _q2m_validation_scatter_2000_2009_v50.pro:
;
; ========================================
; q2m_validation_scatter_2000_2009_v50.pro
; ========================================
;
; DESCRIPTION
; ===========
;
; .. graphviz::
;
;    digraph q2m_validation_scatter_2000_2009_v50 {
;
;       q2m_erai [shape=ellipse,fontname=Courier,label="${PROJECT_ID}/q2m_2000_2009_erai_v50.txt"];
;
;       q2m_trop [shape=ellipse,fontname=Courier,label="${PROJECT_OD}/q2m_2000_2009_trop_v50.txt"];
;       q2m_oaflux [shape=ellipse,fontname=Courier,label="${PROJECT_OD}/q2m_2000_2009_oaflx_v50.txt"];
;       q2m_ncep  [shape=ellipse,fontname=Courier,label="${PROJECT_OD}/q2m_2000_2009_ncep_v50.txt"];
;       q2m_ncep1  [shape=ellipse,fontname=Courier,label="${PROJECT_OD}/q2m_2000_2009_ncep1_v50.txt"];
;
;       erai_q2m_oafluxgrid [shape=ellipse,fontname=Courier,label="${PROJECT_ID}/erai_t2m_19890101_20091231_oafluxgrid.nc"];
;
;       tropflux_q2m [shape=ellipse,fontname=Courier,label="${PROJECT_ID}/TropFlux_q2m_19890101_20091231_v50.nc"];
;
;       oaflux_basic [shape=ellipse,fontname=Courier,label="${PROJECT_ID}/OAFlux_basic_variables_1985_2009.nc"];
;
;       sphum_ncep2_oafluxgrid [shape=ellipse,fontname=Courier,label="${PROJECT_ID}/sphum_ncep2_oafluxgrid_19890101_20091231.nc"];
;
;       q2m_validation_scatter_2000_2009_v50 [shape=box,
;       fontname=Courier,
;       color=blue,
;       URL="http://forge.ipsl.jussieu.fr/tropflux/browser/trunk/src/paper01/fig3/q2m_validation_scatter_2000_2009_v50.pro",
;       label="${TROPFLUX}/src/paper01/fig3/q2m_validation_scatter_2000_2009_v50.pro"];
;
;       figure [shape=ellipse,fontname=Courier,label="${PROJECT_OD}/q2m_validation_scatter_2000_2009_v50.ps"];
;
;       {q2m_erai erai_q2m_oafluxgrid tropflux_q2m oaflux_basic sphum_ncep2_oafluxgrid} -> {q2m_validation_scatter_2000_2009_v50} -> {q2m_trop q2m_oaflux q2m_ncep q2m_ncep1 figure}
;
;     }
;
; SEE ALSO
; ========
;
; :ref:`project_profile.sh`
; :ref:`project_init.pro`
; :ref:`cm_project.pro`
;
; :func:`x_site_location`
; :func:`y_site_location`
;
; :ref:`read_variables_v2.pro`
; :ref:`statistics_3var_v1.pro`
;
; EXAMPLES
; ========
;
; ::
;
;  date1 = 20001001L
;  date2 = 20091231L
;  q2m_validation_scatter_2000_2009_v50, date1, date2
;
; TODO
; ====
;
; make it work (missing data)
;
; Praveen confirm date selection
;
; coding rules
;
; complete description
;
; handle IO error
;
; EVOLUTIONS
; ==========
;
; $Id$
;
; $URL$
;
; - pinsard 2011-04-20T15:17:57Z loholt1.ipsl.polytechnique.fr (Linux)
;
;   * typo
;   * externalize function
;
; - fplod 20110412T104125Z aedon.locean-ipsl.upmc.fr (Darwin)
;
;   * remove hard coding path
;   * add graphviz
;
; - fplod 20110411T142955Z aedon.locean-ipsl.upmc.fr (Darwin)
;
;   * minimal header
;
;-
pro q2m_validation_scatter_2000_2009_v50, date1, date2
;
@cm_project
;
reinitplt, /z,/invert
key_portrait = 1
;
openps, FILENAME = project_od_env+'q2m_validation_scatter_2000_2009_v50.ps'
;
; Give the location of mooring for validation of basic meteorological variables
;
sitelist=['8s67e','12s55e', '8s55e', '8s80.5e', '1.5s80.5e', '0n80.5e', '1.5n80.5e', '1.5s90e', $
           '0n90e', '1.5n90e', '4n90e','8n90e','12n90e', '15n90e', '5s95e', $
           '8s165e', '8s180w',  '8s155w', '8s125w', '8s110w', '8s95w',  '5s156e', '5s165e', '5s180w', '5s170w', $
          '5s155w', '5s140w', '5s125w', '5s110w', '5s95w', '2s156e', '2s165e', '2s180w', '2s170w', '2s155w', '2s140w', $
          '2s125w', '2s110w', '2s95w', '0n147e', '0n156e', '0n165e', '0n180w', '0n170w', '0n155w', '0n140w', '0n125w', $
          '0n110w', '0n95w', '2n147e', '2n156e', '2n165e', '2n180w', '2n170w', '2n155w', '2n140w', '2n125w', '2n110w', $
          '2n95w', '5n147e', '5n156e', '5n165e', '5n170w', '5n155w', '5n140w', '5n125w', '5n110w', '5n95w', $
          '8n156e', '8n165e', '8n180w', '8n170w', '9n140w', '8n125w', '8n110w', '8n95w', $
          '0n0e', '0n10w', '0n23w', '0n35w', '10s10w', '12n23w', '12n38w', '14s32w', '15n38w', '19s34w', '20n38w', $
          '21n23w', '4n23w', '4n38w', '6s10w', '8n38w', '8s30w']
;
ocean='global'
;
nsmooth=1.    ; statistics are with 7 day smoothed
;   This program will create the following text files with statistics of respective variables
close,/all
;
fi_q2m_erai=project_id_env+'q2m_2000_2009_erai_v50.txt'
openw,1,fi_q2m_erai
fi_q2m_trop=project_id_env+'q2m_2000_2009_trop_v50.txt'
openw,2,fi_q2m_trop
fi_q2m_oaflx=project_id_env+'q2m_2000_2009_oaflx_v50.txt'
openw,3,fi_q2m_oaflx
fi_q2m_ncep=project_id_env+'q2m_2000_2009_ncep_v50.txt'
openw,4,fi_q2m_ncep
fi_q2m_ncep1=project_id_env+'q2m_2000_2009_ncep1_v50.txt'
openw,5,fi_q2m_ncep1
;
printf,1, 'x     y      cor    bias     std     rmsd    mean_tao'
printf,2, 'x     y      cor    bias     std     rmsd    mean_tao'
printf,3, 'x     y      cor    bias     std     rmsd    mean_tao'
printf,4, 'x     y      cor    bias     std     rmsd    mean_tao'
printf,5, 'x     y      cor    bias     std     rmsd    mean_tao'
;
; first reading the whole ERAI uncorrected and corrected data
;
file=project_id_env+'erai_q2m_19890101_20091231_oafluxgrid.nc'
initncdf, file
unc=read_ncdf('q2m',date1,date2,file=file,/nostr)
help, unc
;
file=project_id_env+'TropFlux_q2m_19890101_20091231_v20.nc'
initncdf, file
cor=read_ncdf('q2m',date1,date2,file=file,/nostr)
help, cor
;
file=project_id_env+'OAFlux_basic_variables_1985_2009.nc'
initncdf, file
oaf=read_ncdf("sphum", date1, date2, file=file,/nostr)
help, oaf
;
fi=project_id_env+'sphum_ncep2_oafluxgrid_19890101_20091231.nc'
initncdf, fi
nce=read_ncdf("shum", date1-1, date2, file=fi,/nostr)
nce=nce*1000
help, nce
;
file=project_id_env+'q2m_ncep1_19890101_20091231.nc'
initncdf, file
nce1=read_ncdf("q2m", date1, date2, file=file,/nostr)
nce1=nce1*1000
help, nce1
;
nn=n_elements(sitelist)
for n=0, nn-1 do begin
;
; reading data from mooring
;
    site=sitelist(n)
    csite=site
    print, csite
    x=x_site_location(site)
    y=y_site_location(site)
    if (y ge 0. and y le 30.) then y=y+360.
    dx=0.5
    dy=0.5
    box=[y-dy, y+dy, x-dx, x+dx]
    read_variables_v2, csite,date1,date2,nsmooth, $
         at, sw,rh,sst,wu,wv,ws,lh
;
    q2m=rh_to_sphum(rh,at,1008)               ;        at  ->  q2m temperature
;    q2m=at                                               ;        q2m ->  sea surface temperature
                                                ;        lh  ->  latent heat flux
                                                ;        rh  ->  relative humidity
                                                ;   wu,wv,ws ->  wind speed
;
;  extracting the corrected and uncorrected ERAI data at the locations
    nsmooth=1.
;
    extract_flux_tropflux,unc,box, $
        tropflux
    uncr=tropflux
;
     extract_flux_tropflux,cor,box, $
        tropflux
     corr=tropflux
;
     extract_flux_tropflux,oaf,box, $
        tropflux
     oafl=tropflux
;
     extract_flux_tropflux,nce,box, $
        tropflux
     ncep=tropflux
;
     extract_flux_tropflux,nce1,box, $
        tropflux
     ncep1=tropflux
;
    ind=where(finite(q2m))
    q2m=q2m(ind)
    uncr_q2m=uncr(ind)
    corr_q2m=corr(ind)
    oafl=oafl(ind)
    ncep=ncep(ind)
    ncep1=ncep1(ind)
    mean_tao=total(q2m,/nan)/n_elements(ind)
;
    statistics_3var_v1, q2m, uncr_q2m, corr_q2m, $
         cor1, cor2, bias1, bias2, std1, std2, rmsd1, rmsd2
;
    printf, 1, x, y, cor1, bias1, std1, rmsd1, mean_tao, format='(f6.2, 3x, f6.2, 3x, f5.2,3x,f5.2,3x,f4.2,3x,f4.2,3x,f6.2)'
    printf, 2, x, y, cor2, bias2, std2, rmsd2, mean_tao, format='(f6.2, 3x, f6.2, 3x, f5.2,3x,f5.2,3x,f4.2,3x,f4.2,3x,f6.2)'
;
    statistics_3var_v1, q2m, oafl, ncep, $
         cor1, cor2, bias1, bias2, std1, std2, rmsd1, rmsd2
    printf, 3, x, y, cor1, bias1, std1, rmsd1, mean_tao, format='(f6.2, 3x, f6.2, 3x, f5.2,3x,f5.2,3x,f4.2,3x,f4.2,3x,f6.2)'
    printf, 4, x, y, cor2, bias2, std2, rmsd2, mean_tao, format='(f6.2, 3x, f6.2, 3x, f5.2,3x,f6.2,3x,f4.2,3x,f4.2,3x,f6.2)'
;
    statistics_3var_v1, q2m, ncep1, ncep, $
         cor1, cor2, bias1, bias2, std1, std2, rmsd1, rmsd2
    printf, 5, x, y, cor1, bias1, std1, rmsd1, mean_tao, format='(f6.2, 3x, f6.2, 3x, f5.2,3x,f5.2,3x,f4.2,3x,f4.2,3x,f6.2)'
;
endfor
close,/all
;
fi_q2m_erai=project_id_env+'q2m_2000_2009_erai_v50.txt'
res=read_ascii(fi_q2m_erai,data_start=1)
ff=res.field1
lat=reform(ff(0,*))
lon=reform(ff(1,*))
cor_era=reform(ff(2,*))
cor_erai=total(cor_era)/n_elements(cor_era)
bias_era=reform(ff(3,*))
bias_erai=total(bias_era)/n_elements(bias_era)
std_era=reform(ff(4,*))
std_erai=total(std_era)/n_elements(std_era)
rmsd_era=reform(ff(5,*))
rmsd_erai=total(rmsd_era)/n_elements(rmsd_era)
mean_tao=reform(ff(6,*))
mean_erai=bias_era+mean_tao
;
print, ''
print, 'ERAI'
print, cor_erai, bias_erai, std_erai, rmsd_erai
cstat=string(cor_erai, bias_erai, std_erai, rmsd_erai, format='(f4.2,1x,f6.2,1x,f4.2,1x,f4.2)')
splot, mean_tao, mean_erai, title='Q2m - TAO Vs ERAI', subtitle='', $
     charsize=1.1, xtitle='TAO Q2m', ytitle='ERAI Q2m', small=[2,3,1], psym=2, $
     xrange=[11,21], yrange=[11,21], xmin=1,ymin=1
xyouts, 12,20.2, cstat, charsize=0.9
xyouts, 12,19.7, 'cor   bias   std   rmsd', charsize=0.9
;
oplot, [11,21], [11,21]
ab=linfit(mean_tao, mean_erai,yfit=yfit)
a=float(ab(0))
b=float(ab(1))
oplot, mean_tao, yfit, color=250, thick=2
;
fi_q2m_trop=project_id_env+'q2m_2000_2009_trop_v50.txt'
res=read_ascii(fi_q2m_trop,data_start=1)
ff=res.field1
lat=reform(ff(0,*))
lon=reform(ff(1,*))
cor_tro=reform(ff(2,*))
cor_trop=total(cor_tro)/n_elements(cor_tro)
bias_tro=reform(ff(3,*))
bias_trop=total(bias_tro)/n_elements(bias_tro)
std_tro=reform(ff(4,*))
std_trop=total(std_tro)/n_elements(std_tro)
rmsd_tro=reform(ff(5,*))
rmsd_trop=total(rmsd_tro)/n_elements(rmsd_tro)
mean_tao=reform(ff(6,*))
mean_trop=bias_tro+mean_tao
;
print, ''
print, 'TropFlux'
print, cor_trop, bias_trop, std_trop, rmsd_trop
cstat=string(cor_trop, bias_trop, std_trop, rmsd_trop, format='(f4.2,1x,f6.2,1x,f4.2,1x,f4.2)')
;
splot, mean_tao, mean_trop, title='Q2m - TAO Vs TropFlux', subtitle='', $
     charsize=1.1, xtitle='TAO Q2m', ytitle='TropFlux Q2m', small=[2,3,2],/noer, psym=2, $
     xrange=[11,21], yrange=[11,21], xmin=1,ymin=1
oplot, [11,21], [11,21]
xyouts, 12,20.2, cstat, charsize=0.9
xyouts, 12,19.7, 'cor   bias   std   rmsd', charsize=0.9
;
ab=linfit(mean_tao, mean_trop,yfit=yfit)
a=float(ab(0))
b=float(ab(1))
oplot, mean_tao, yfit, color=250, thick=2
;
fi_q2m_oaflx=project_id_env+'q2m_2000_2009_oaflx_v50.txt'
res=read_ascii(fi_q2m_oaflx,data_start=1)
ff=res.field1
lat=reform(ff(0,*))
lon=reform(ff(1,*))
cor_oaf=reform(ff(2,*))
cor_oafl=total(cor_oaf)/n_elements(cor_oaf)
bias_oaf=reform(ff(3,*))
bias_oafl=total(bias_oaf)/n_elements(bias_oaf)
std_oaf=reform(ff(4,*))
std_oafl=total(std_oaf)/n_elements(std_oaf)
rmsd_oaf=reform(ff(5,*))
rmsd_oafl=total(rmsd_oaf)/n_elements(rmsd_oaf)
mean_tao=reform(ff(6,*))
mean_oafl=bias_oaf+mean_tao
;
print, ''
print, 'OAFlux'
print, cor_oafl, bias_oafl, std_oafl, rmsd_oafl
cstat=string(cor_oafl, bias_oafl, std_oafl, rmsd_oafl, format='(f4.2,1x,f6.2,1x,f4.2,1x,f4.2)')
;
splot, mean_tao, mean_oafl, title='Q2m - TAO Vs OAFlux', subtitle='', $
     charsize=1.1, xtitle='TAO Q2m', ytitle='OAFlux Q2m', small=[2,3,3],/noer, psym=2, $
     xrange=[11,21], yrange=[11,21], xmin=1,ymin=1
oplot, [11,21], [11,21]
xyouts, 12,20.2, cstat, charsize=0.9
xyouts, 12,19.7, 'cor   bias   std   rmsd', charsize=0.9
;
ab=linfit(mean_tao, mean_oafl,yfit=yfit)
a=float(ab(0))
b=float(ab(1))
oplot, mean_tao, yfit, color=250, thick=2
;
fi_q2m_ncep=project_id_env+'q2m_2000_2009_ncep_v50.txt'
res=read_ascii(fi_q2m_ncep,data_start=1)
ff=res.field1
lat=reform(ff(0,*))
lon=reform(ff(1,*))
cor_nce=reform(ff(2,*))
cor_ncep=total(cor_nce)/n_elements(cor_nce)
bias_nce=reform(ff(3,*))
bias_ncep=total(bias_nce)/n_elements(bias_nce)
std_nce=reform(ff(4,*))
std_ncep=total(std_nce)/n_elements(std_nce)
rmsd_nce=reform(ff(5,*))
rmsd_ncep=total(rmsd_nce)/n_elements(rmsd_nce)
mean_tao=reform(ff(6,*))
mean_ncep=bias_nce+mean_tao
;
print, ''
print, 'NCEP2'
print, cor_ncep, bias_ncep, std_ncep, rmsd_ncep
cstat=string(cor_ncep, bias_ncep, std_ncep, rmsd_ncep, format='(f4.2,1x,f6.2,1x,f4.2,1x,f4.2)')
;
splot, mean_tao, mean_ncep, title='Q2m - TAO Vs NCEP2', subtitle='', $
     charsize=1.1, xtitle='TAO Q2m', ytitle='NCEP2 Q2m', small=[2,3,4],/noer, psym=2, $
     xrange=[11,21], yrange=[11,21], xmin=1,ymin=1
oplot, [11,21], [11,21]
xyouts, 12,20.2, cstat, charsize=0.9
xyouts, 12,19.7, 'cor   bias   std   rmsd', charsize=0.9
;
ab=linfit(mean_tao, mean_ncep,yfit=yfit)
a=float(ab(0))
b=float(ab(1))
oplot, mean_tao, yfit, color=250, thick=2
;
fi_q2m_ncep1=project_id_env+'q2m_2000_2009_ncep1_v50.txt'
res=read_ascii(fi_q2m_ncep1,data_start=1)
ff=res.field1
lat=reform(ff(0,*))
lon=reform(ff(1,*))
cor_nce=reform(ff(2,*))
cor_ncep=total(cor_nce)/n_elements(cor_nce)
bias_nce=reform(ff(3,*))
bias_ncep=total(bias_nce)/n_elements(bias_nce)
std_nce=reform(ff(4,*))
std_ncep=total(std_nce)/n_elements(std_nce)
rmsd_nce=reform(ff(5,*))
rmsd_ncep=total(rmsd_nce)/n_elements(rmsd_nce)
mean_tao=reform(ff(6,*))
mean_ncep=bias_nce+mean_tao
;
print, ''
print, 'NCEP1'
print, cor_ncep, bias_ncep, std_ncep, rmsd_ncep
cstat=string(cor_ncep, bias_ncep, std_ncep, rmsd_ncep, format='(f4.2,1x,f6.2,1x,f4.2,1x,f4.2)')
;
splot, mean_tao, mean_ncep, title='Q2m - TAO Vs NCEP', subtitle='', $
     charsize=1.1, xtitle='TAO Q2m', ytitle='NCEP1 Q2m', small=[2,3,5],/noer, psym=2, $
     xrange=[11,21], yrange=[11,21], xmin=1,ymin=1
oplot, [11,21], [11,21]
xyouts, 12,20.2, cstat, charsize=0.9
xyouts, 12,19.7, 'cor   bias   std   rmsd', charsize=0.9
;
ab=linfit(mean_tao, mean_ncep,yfit=yfit)
a=float(ab(0))
b=float(ab(1))
oplot, mean_tao, yfit, color=250, thick=2
;
closeps
;
end