; ; Makes mean timeseries of instrumental data ; ; Get region info ; restore,filename='regboxes.idlsave' ; ; Define arrays ; nyrmax=1995-1400+1 nmon=12 regts=fltarr(nyrmax*nmon,nreg)+!values.f_nan regcover=fltarr(nyrmax*nmon,nreg) ; ; Now also want to keep groups of grid-box timeseries for the boxes that go ; into each regional mean ; ; Region 9 is ALL ireg = 9 dummy=where(finite(boxlists(*,*,ireg)),dumn) nboxkp=dumn boxkp=dummy print,'No. of boxes to keep=',nboxkp boxts=fltarr(nboxkp,nyrmax*nmon)*!values.f_nan ; print,'Opening netCDF file and reading 1856-1992 temperature data' ntime=(1995-1856+1)*nmon elest=(1856-1400)*nmon eleen=(1995-1400)*nmon+nmon-1 ncid=ncdf_open('/cru/u2/f055/data/obs/grid/surface/ist_ipcc_18561998.mon.nc') ncdf_attget,ncid,'airt','missing_value',missv ncdf_varget,ncid,'airt',fdall,$ offset=[0.,0.,0.],count=[g.nx,g.ny,ntime] print,'Altering the missing values to NaN' misslist=where(fdall eq missv,nmiss) if nmiss gt 0 then fdall(misslist)=!values.f_nan print,'Computing regional means' for ireg = 0 , nreg-1 do begin print,'region=',ireg print,'Making mask' fdmask=boxlists(*,*,ireg) print,'Finding mean' regts(elest:eleen,ireg)=globalmean(fdall,g.y,mask=fdmask,cover=cover) regcover(elest:eleen,ireg)=cover endfor print,'Now extracting individual timeseries' fd=reform(fdall,g.nx*g.ny,ntime) boxts(*,elest:eleen)=fd(boxkp,*) ncdf_close,ncid ; ; Now save them ; x=findgen(nyrmax)+1400. for ireg = 0 , nreg-1 do begin ; extract one region and separate into months, years and then transpose into ; year,months winstr=reform(regts(*,ireg),nmon,nyrmax) winstr=transpose(winstr) wcover=reform(regcover(*,ireg),nmon,nyrmax) wcover=transpose(wcover) save,filename='instrts_'+regname(ireg)+'.idlsave',x,winstr,wcover endfor allx=fltarr(g.nx,g.ny) for i = 0 , g.ny-1 do allx(*,i)=g.x ally=fltarr(g.nx,g.ny) for i = 0 , g.nx-1 do ally(i,*)=g.y boxlon=allx(boxkp) boxlat=ally(boxkp) boxts=reform(boxts,nboxkp,nmon,nyrmax) save,filename='instrboxes.idlsave',x,boxts,boxlon,boxlat ; end