module vwnd10m_setup implicit none private public:: setup interface setup; module procedure setupvwnd10m; end interface contains subroutine setupvwnd10m(obsLL,odiagLL,lunin,mype,bwork,awork,nele,nobs,is,conv_diagsave) !$$$ subprogram documentation block ! . . . . ! subprogram: setupvwnd10m compute rhs for conventional 10 m vwind ! prgmmr: pondeca org: np23 date: 2016-03-07 ! ! abstract: For 10-m uwind observations ! a) reads obs assigned to given mpi task (geographic region), ! b) simulates obs from guess, ! c) apply some quality control to obs, ! d) load weight and innovation arrays used in minimization ! e) collects statistics for runtime diagnostic output ! f) writes additional diagnostic information to output file ! ! program history log: ! 2016-03-07 pondeca ! 2016-06-24 guo - fixed the default value of obsdiags(:,:)%tail%luse to luse(i) ! . removed (%dlat,%dlon) debris. ! 2016-10-07 pondeca - if(.not.proceed) advance through input file first ! before retuning to setuprhsall.f90 ! 2017-02-09 guo - Remove m_alloc, n_alloc. ! . Remove my_node with corrected typecast(). ! 2017-03-15 Yang - modify code to use polymorphic code. ! 2017-09-28 todling - add netcdf_diag capability; hidden as contained code ! 2018-01-08 pondeca - addd option l_closeobs to use closest obs to analysis ! time in analysis ! 2020-05-04 wu - no rotate_wind for fv3_regional ! ! input argument list: ! lunin - unit from which to read observations ! mype - mpi task id ! nele - number of data elements per observation ! nobs - number of observations ! ! output argument list: ! bwork - array containing information about obs-ges statistics ! awork - array containing information for data counts and gross checks ! ! attributes: ! language: f90 ! machine: ibm RS/6000 SP ! !$$$ use mpeu_util, only: die,perr use kinds, only: r_kind,r_single,r_double,i_kind use guess_grids, only: hrdifsig,nfldsig,ges_lnprsl, & sfcmod_gfs,sfcmod_mm5,comp_fact10 use m_obsdiagNode, only: obs_diag use m_obsdiagNode, only: obs_diags use m_obsdiagNode, only: obsdiagLList_nextNode use m_obsdiagNode, only: obsdiagNode_set use m_obsdiagNode, only: obsdiagNode_get use m_obsdiagNode, only: obsdiagNode_assert use obsmod, only: rmiss_single,& lobsdiagsave,nobskeep,lobsdiag_allocated,time_offset,bmiss use m_obsNode , only: obsNode use m_vwnd10mNode, only: vwnd10mNode use m_vwnd10mNode, only: vwnd10mNode_appendto use m_obsLList , only: obsLList use obsmod, only: luse_obsdiag use obsmod, only: netcdf_diag, binary_diag, dirname, ianldate use nc_diag_write_mod, only: nc_diag_init, nc_diag_header, nc_diag_metadata, & nc_diag_write, nc_diag_data2d use nc_diag_read_mod, only: nc_diag_read_init, nc_diag_read_get_dim, nc_diag_read_close use gsi_4dvar, only: nobs_bins,hr_obsbin,min_offset use oneobmod, only: magoberr,maginnov,oneobtest use gridmod, only: nsig use gridmod, only: get_ij,twodvar_regional,regional,rotate_wind_xy2ll,pt_ll,& fv3_regional use constants, only: zero,tiny_r_kind,one,one_tenth,half,wgtlim,rd,grav,& two,cg_term,three,four,five,ten,huge_single,r1000,r3600,& grav_ratio,flattening,grav,deg2rad,grav_equator,somigliana, & semi_major_axis use jfunc, only: jiter,last,miter use qcmod, only: dfact,dfact1,npres_print,qc_satwnds use convinfo, only: nconvtype,cermin,cermax,cgross,cvar_b,cvar_pg,ictype use convinfo, only: icsubtype use m_dtime, only: dtime_setup, dtime_check use gsi_bundlemod, only : gsi_bundlegetpointer use gsi_metguess_mod, only : gsi_metguess_get,gsi_metguess_bundle use rapidrefresh_cldsurf_mod, only: l_closeobs implicit none ! Declare passed variables type(obsLList ),target,dimension(:),intent(in):: obsLL type(obs_diags),target,dimension(:),intent(in):: odiagLL logical ,intent(in ) :: conv_diagsave integer(i_kind) ,intent(in ) :: lunin,mype,nele,nobs real(r_kind),dimension(100+7*nsig) ,intent(inout) :: awork real(r_kind),dimension(npres_print,nconvtype,5,3),intent(inout) :: bwork integer(i_kind) ,intent(in ) :: is ! ndat index ! Declare external calls for code analysis external:: tintrp2a1,tintrp2a11 external:: stop2 ! Declare local parameters real(r_kind),parameter:: r0_7=0.7_r_kind real(r_kind),parameter:: r6=6.0_r_kind real(r_kind),parameter:: r20=20.0_r_kind real(r_kind),parameter:: r360=360.0_r_kind real(r_kind),parameter:: r0_1_bmiss=one_tenth*bmiss character(len=*),parameter:: myname='setupvwnd10m' ! Declare local variables integer(i_kind) num_bad_ikx real(r_double) rstation_id real(r_kind) spdges,dlat,dlon,ddiff,dtime,error,prsln2,r0_001,thirty real(r_kind) scale,val2,rsig,rsigp,ratio,ressw2,ress,residual,dudiff,dvdiff real(r_kind) obserrlm,obserror,val,valqc,dx10,rlow,rhgh,drpx,prsfc real(r_kind) term,rwgt real(r_kind) cg_vwnd10m,wgross,wnotgross,wgt,arg,exp_arg,rat_err2,qcgross real(r_kind) presw,factw,dpres,sfcchk,ugesin,vgesin,dpressave real(r_kind) qcu,qcv real(r_kind) ratio_errors,tfact,wflate,psges,goverrd,spdob real(r_kind) uob,vob,spdb real(r_kind) dudiff_opp, dvdiff_opp, vecdiff, vecdiff_opp real(r_kind) ascat_vec real(r_kind) errinv_input,errinv_adjst,errinv_final real(r_kind) err_input,err_adjst,err_final,skint,sfcr real(r_kind) uob_reg,vob_reg,uob_e,vob_e,dlon_e,uges_e,vges_e,dudiff_e,dvdiff_e real(r_kind),dimension(nobs):: dup real(r_kind),dimension(nsig)::prsltmp,tges real(r_kind) wdirob,wdirgesin,wdirdiffmax real(r_kind),dimension(nele,nobs):: data real(r_single),allocatable,dimension(:,:)::rdiagbuf integer(i_kind) ier,ier2,ilon,ilat,ihgt,iuob,ivob,ipres,id,itime,ikx,iqc integer(i_kind) iuse,ilate,ilone,ielev,izz,iprvd,isprvd integer(i_kind) i,nchar,nreal,k,ii,ikxx,nn,isli,ibin,ioff,ioff0,jj,itype integer(i_kind) l,mm1 integer(i_kind) idomsfc,iskint,iff10,isfcr logical,dimension(nobs):: luse,muse integer(i_kind),dimension(nobs):: ioid ! initial (pre-distribution) obs ID logical lowlevelsat logical proceed character(8) station_id character(8),allocatable,dimension(:):: cdiagbuf character(8),allocatable,dimension(:):: cprvstg,csprvstg character(8) c_prvstg,c_sprvstg real(r_double) r_prvstg,r_sprvstg logical:: in_curbin, in_anybin type(vwnd10mNode), pointer:: my_head type(obs_diag ), pointer:: my_diag type(obs_diags ), pointer:: my_diagLL real(r_kind) :: hr_offset equivalence(rstation_id,station_id) equivalence(r_prvstg,c_prvstg) equivalence(r_sprvstg,c_sprvstg) real(r_kind),allocatable,dimension(:,:,: ) :: ges_ps real(r_kind),allocatable,dimension(:,:,: ) :: ges_z !will probably need at some point real(r_kind),allocatable,dimension(:,:,: ) :: ges_uwnd10m real(r_kind),allocatable,dimension(:,:,: ) :: ges_vwnd10m real(r_kind),allocatable,dimension(:,:,:,:) :: ges_tv real(r_kind),allocatable,dimension(:,:,: ) :: ges_wspd10m type(obsLList),pointer,dimension(:):: vwnd10mhead vwnd10mhead => obsLL(:) ! Check to see if required guess fields are available call check_vars_(proceed) if(.not.proceed) then read(lunin)data,luse !advance through input file return ! not all vars available, simply return endif ! If require guess vars available, extract from bundle ... call init_vars_ !********************************************************************************* ! Read and reformat observations in work arrays. spdb=zero read(lunin)data,luse,ioid ! index information for data array (see reading routine) ier=1 ! index of obs error ilon=2 ! index of grid relative obs location (x) ilat=3 ! index of grid relative obs location (y) ipres=4 ! index of pressure ihgt=5 ! index of observation elevation iuob=6 ! index of u observation ivob=7 ! index of v observation id=8 ! index of station id itime=9 ! index of observation time in data array ikxx=10 ! index of ob type ielev=11 ! index of station elevation (m) iqc=12 ! index of quality mark ier2=13 ! index of original-original obs error ratio iuse=14 ! index of use parameter idomsfc=15 ! index of dominant surface type iskint=16 ! index of surface skin temperature iff10=17 ! index of 10 meter wind factor isfcr=18 ! index of surface roughness ilone=19 ! index of longitude (degrees) ilate=20 ! index of latitude (degrees) izz=21 ! index of surface height iprvd=22 ! index of provider isprvd=23 ! index of subprovider mm1=mype+1 scale=one rsig=nsig thirty = 30.0_r_kind r0_001=0.001_r_kind rsigp=rsig+one goverrd=grav/rd do i=1,nobs muse(i)=nint(data(iuse,i)) <= jiter end do ! Check for missing data if (.not. oneobtest) then do i=1,nobs if (data(iuob,i) > r0_1_bmiss .or. data(ivob,i) > r0_1_bmiss) then muse(i)=.false. data(iuob,i)=rmiss_single ! for diag output data(ivob,i)=rmiss_single ! for diag output end if end do end if ! Check for duplicate observations at same location hr_offset=min_offset/60.0_r_kind dup=one do k=1,nobs do l=k+1,nobs if(data(ilat,k) == data(ilat,l) .and. & data(ilon,k) == data(ilon,l) .and. & data(ier,k) < r1000 .and. data(ier,l) < r1000 .and. & muse(k) .and. muse(l))then if(l_closeobs) then if(abs(data(itime,k)-hr_offset) nconvtype) then num_bad_ikx=num_bad_ikx+1 if(num_bad_ikx<=10) write(6,*)' in setupvwnd10m, bad ikx, ikx,i,nconvtype=',ikx,i,nconvtype cycle end if error=data(ier2,i) isli=data(idomsfc,i) endif ! Link observation to appropriate observation bin if (nobs_bins>1) then ibin = NINT( dtime/hr_obsbin ) + 1 else ibin = 1 endif IF (ibin<1.OR.ibin>nobs_bins) write(6,*)mype,'Error nobs_bins,ibin= ',nobs_bins,ibin if(luse_obsdiag) my_diagLL => odiagLL(ibin) ! Link obs to diagnostics structure if(luse_obsdiag)then my_diag => obsdiagLList_nextNode(my_diagLL ,& create = .not.lobsdiag_allocated ,& idv = is ,& iob = ioid(i) ,& ich = 1 ,& elat = data(ilate,i) ,& elon = data(ilone,i) ,& luse = luse(i) ,& miter = miter ) if(.not.associated(my_diag)) call die(myname, & 'obsdiagLList_nextNode(), create =',.not.lobsdiag_allocated) end if if(.not.in_curbin) cycle ! Load observation error and values into local variables uob = data(iuob,i) vob = data(ivob,i) spdob=sqrt(uob*uob+vob*vob) call tintrp2a11(ges_ps,psges,dlat,dlon,dtime,hrdifsig,& mype,nfldsig) call tintrp2a1(ges_lnprsl,prsltmp,dlat,dlon,dtime,hrdifsig,& nsig,mype,nfldsig) ! Interpolate to get wspd10m at obs location/time call tintrp2a11(ges_wspd10m,spdges,dlat,dlon,dtime,hrdifsig,& mype,nfldsig) itype=ictype(ikx) ! Process observations with reported pressure dpres = data(ipres,i) presw = ten*exp(dpres) dpres = dpres-log(psges) drpx=zero prsfc=psges prsln2=log(exp(prsltmp(1))/prsfc) dpressave=dpres ! Put obs pressure in correct units to get grid coord. number dpres=log(exp(dpres)*prsfc) call grdcrd1(dpres,prsltmp(1),nsig,-1) ! Interpolate guess u and v to observation location and time. call tintrp2a11(ges_uwnd10m,ugesin,dlat,dlon,dtime,hrdifsig,& mype,nfldsig) call tintrp2a11(ges_vwnd10m,vgesin,dlat,dlon,dtime,hrdifsig,& mype,nfldsig) if(dpressave <= prsln2)then factw=one else factw = data(iff10,i) if(sfcmod_gfs .or. sfcmod_mm5) then sfcr = data(isfcr,i) skint = data(iskint,i) call comp_fact10(dlat,dlon,dtime,skint,sfcr,isli,mype,factw) end if call tintrp2a1(ges_tv,tges,dlat,dlon,dtime,hrdifsig,& nsig,mype,nfldsig) ! Apply 10-meter wind reduction factor to guess winds dx10=-goverrd*ten/tges(1) if (dpressave < dx10)then term=(prsln2-dpressave)/(prsln2-dx10) factw=one-term+factw*term end if ugesin=factw*ugesin vgesin=factw*vgesin end if ! Get approx k value of sfc by using surface pressure sfcchk=log(psges) call grdcrd1(sfcchk,prsltmp(1),nsig,-1) ! Checks based on observation location relative to model surface and top rlow=max(sfcchk-dpres,zero) rhgh=max(dpres-r0_001-rsigp,zero) if(luse(i))then awork(1) = awork(1) + one if(rlow/=zero) awork(2) = awork(2) + one if(rhgh/=zero) awork(3) = awork(3) + one end if ! Adjust observation error wflate=zero if (ictype(ikx)==288 .or. ictype(ikx)==295) then if (spdob=ten ) wflate=four*data(ier,i) ! Tyndall/Horel type QC endif ratio_errors=error/(data(ier,i)+drpx+wflate+1.0e6_r_kind*rhgh+four*rlow) ! Invert observation error error=one/error ! Check to see if observation below model surface or above model top. ! If so, don't use observation if (dpres > rsig )then if( regional .and. presw > pt_ll )then dpres=rsig else ratio_errors=zero endif endif ! Compute innovations lowlevelsat=itype==242.or.itype==243.or.itype==245.or.itype==246.or. & itype==247.or.itype==250.or.itype==251.or.itype==252.or. & itype==253.or.itype==254.or.itype==257.or.itype==258.or. & itype==259 if (lowlevelsat .and. twodvar_regional) then call windfactor(presw,factw) data(iuob,i)=factw*data(iuob,i) data(ivob,i)=factw*data(ivob,i) uob = data(iuob,i) vob = data(ivob,i) endif dudiff=uob-ugesin dvdiff=vob-vgesin spdb=sqrt(uob**2+vob**2)-sqrt(ugesin**2+vgesin**2) ddiff=dvdiff if ( qc_satwnds ) then if(itype >=240 .and. itype <=260) then if( presw >950.0_r_kind) error =zero ! screen data beloww 950mb endif if( itype == 246 .or. itype == 250 .or. itype == 254 ) then ! water vapor cloud top if(presw >399.0_r_kind) error=zero endif if(itype ==258 .and. presw >600.0_r_kind) error=zero if(itype ==259 .and. presw >600.0_r_kind) error=zero endif ! qc_satwnds ! QC WindSAT winds if (itype==289) then qcu = r6 qcv = r6 if ( spdob > r20 .or. & ! high wind speed check abs(dudiff) > qcu .or. & ! u component check abs(dvdiff) > qcv ) then ! v component check error = zero endif endif ! QC ASCAT winds if (itype==290) then qcu = five qcv = five ! Compute innovations for opposite vectors dudiff_opp = -uob - ugesin dvdiff_opp = -vob - vgesin vecdiff = sqrt(dudiff**2 + dvdiff**2) vecdiff_opp = sqrt(dudiff_opp**2 + dvdiff_opp**2) ascat_vec = sqrt((dudiff**2 + dvdiff**2)/spdob**2) if ( abs(dudiff) > qcu .or. & ! u component check abs(dvdiff) > qcv .or. & ! v component check vecdiff > vecdiff_opp ) then ! ambiguity check error = zero endif endif ! If requested, setup for single obs test. if (oneobtest) then ddiff=maginnov error=one/magoberr ratio_errors=one endif ! Gross check using innovation normalized by error obserror = one/max(ratio_errors*error,tiny_r_kind) obserrlm = max(cermin(ikx),min(cermax(ikx),obserror)) residual = abs(ddiff) ! it's probably more robust to evalute gross-error in ! terms of magnitude of full-vector difference !! if ( abs(ugesin)>zero .or. abs(vgesin)>zero ) then !! ugesin_scaled=(ugesin/sqrt(ugesin**2+vgesin**2))*spdges !! vgesin_scaled=(vgesin/sqrt(ugesin**2+vgesin**2))*spdges !! residual = sqrt((uob-ugesin_scaled)**2+(vob-vgesin_scaled)**2) !! else !! residual = sqrt(dudiff**2+dvdiff**2) !! endif !! residual = sqrt(dudiff**2+dvdiff**2) ratio = residual/obserrlm !! modify cgross depending on the quality mark, qcmark=3, cgross=0.7*cgross !! apply asymetric gross check for satellite winds qcgross=cgross(ikx) if(data(iqc,i) == three) qcgross=r0_7*cgross(ikx) if(spdb <0 )then if(itype ==244) then ! AVHRR, use same as MODIS qcgross=r0_7*cgross(ikx) endif if(itype >=257 .and. itype <=259 ) then qcgross=r0_7*cgross(ikx) endif endif if (ratio> qcgross .or. ratio_errors < tiny_r_kind) then if (luse(i)) awork(6) = awork(6)+one error = zero ratio_errors=zero else ratio_errors =ratio_errors/sqrt(dup(i)) end if if (lowlevelsat .and. twodvar_regional) then if (data(idomsfc,i) /= 0 .and. data(idomsfc,i) /= 3 ) then error = zero ratio_errors = zero endif endif if (twodvar_regional) then if (lowlevelsat .or. itype==289 .or. itype==290) then wdirdiffmax=45._r_kind else wdirdiffmax=100000._r_kind endif if (spdob > zero .and. (spdob-spdb) > zero) then call getwdir(uob,vob,wdirob) call getwdir(ugesin,vgesin,wdirgesin) if ( min(abs(wdirob-wdirgesin),abs(wdirob-wdirgesin+r360), & abs(wdirob-wdirgesin-r360)) > wdirdiffmax ) then error = zero ratio_errors = zero endif endif endif if (ratio_errors*error <=tiny_r_kind) muse(i)=.false. if (nobskeep>0 .and. luse_obsdiag) call obsdiagNode_get(my_diag, jiter=nobskeep, muse=muse(i)) ! Compute penalty terms (linear & nonlinear qc). val = error*ddiff if(luse(i))then val2 = val*val exp_arg = -half*val2 rat_err2 = ratio_errors**2 if (cvar_pg(ikx) > tiny_r_kind .and. error > tiny_r_kind) then arg = exp(exp_arg) wnotgross= one-cvar_pg(ikx) cg_vwnd10m=cvar_b(ikx) wgross = cg_term*cvar_pg(ikx)/(cg_vwnd10m*wnotgross) term = log((arg+wgross)/(one+wgross)) wgt = one-wgross/(arg+wgross) rwgt = wgt/wgtlim else term = exp_arg wgt = wgtlim rwgt = wgt/wgtlim endif valqc = -two*rat_err2*term ! Accumulate statistics for obs belonging to this task if (muse(i)) then if(rwgt < one) awork(21) = awork(21)+one awork(4)=awork(4)+val2*rat_err2 awork(5)=awork(5)+one awork(22)=awork(22)+valqc end if ress = ddiff*scale ressw2 = ress*ress val2 = val*val rat_err2 = ratio_errors**2 nn=1 if (.not. muse(i)) then nn=2 if(ratio_errors*error >=tiny_r_kind)nn=3 end if if (abs(data(ivob,i)-rmiss_single) >=tiny_r_kind) then bwork(1,ikx,1,nn) = bwork(1,ikx,1,nn)+one ! count bwork(1,ikx,2,nn) = bwork(1,ikx,2,nn)+ress ! (o-g) bwork(1,ikx,3,nn) = bwork(1,ikx,3,nn)+ressw2 ! (o-g)**2 bwork(1,ikx,4,nn) = bwork(1,ikx,4,nn)+val2*rat_err2 ! penalty bwork(1,ikx,5,nn) = bwork(1,ikx,5,nn)+valqc ! nonlin qc penalty end if endif if(luse_obsdiag)then call obsdiagNode_set(my_diag, wgtjo=(error*ratio_errors)**2, & jiter=jiter, muse=muse(i), nldepart=ddiff) end if ! If obs is "acceptable", load array with obs info for use ! in inner loop minimization (int* and stp* routines) if (.not. last .and. muse(i)) then allocate(my_head) call vwnd10mNode_appendto(my_head,vwnd10mhead(ibin)) my_head%idv = is my_head%iob = ioid(i) my_head%elat= data(ilate,i) my_head%elon= data(ilone,i) ! Set (i,j) indices of guess gridpoint that bound obs location call get_ij(mm1,dlat,dlon,my_head%ij,my_head%wij) my_head%res = ddiff my_head%err2 = error**2 my_head%raterr2 = ratio_errors**2 my_head%time = dtime my_head%b = cvar_b(ikx) my_head%pg = cvar_pg(ikx) my_head%luse = luse(i) if(luse_obsdiag)then call obsdiagNode_assert(my_diag, my_head%idv,my_head%iob,1, myname,'my_diag:my_head') my_head%diags => my_diag end if my_head => null () endif ! Save stuff for diagnostic output if(conv_diagsave .and. luse(i))then ii=ii+1 rstation_id = data(id,i) err_input = data(ier2,i) err_adjst = data(ier,i) if (ratio_errors*error>tiny_r_kind) then err_final = one/(ratio_errors*error) else err_final = huge_single endif errinv_input = huge_single errinv_adjst = huge_single errinv_final = huge_single if (err_input>tiny_r_kind) errinv_input = one/err_input if (err_adjst>tiny_r_kind) errinv_adjst = one/err_adjst if (err_final>tiny_r_kind) errinv_final = one/err_final if (binary_diag) call contents_binary_diag_(my_diag) if (netcdf_diag) call contents_netcdf_diag_(my_diag) end if end do ! Release memory of local guess arrays call final_vars_ ! Write information to diagnostic file if(conv_diagsave .and. ii>0)then if(netcdf_diag) call nc_diag_write if(binary_diag) then write(7)'uwn',nchar,nreal,ii,mype,ioff0 write(7)cdiagbuf(1:ii),rdiagbuf(:,1:ii) deallocate(cdiagbuf,rdiagbuf) if (twodvar_regional) then write(7)cprvstg(1:ii),csprvstg(1:ii) deallocate(cprvstg,csprvstg) endif endif end if ! End of routine return contains subroutine check_vars_ (proceed) logical,intent(inout) :: proceed integer(i_kind) ivar, istatus ! Check to see if required guess fields are available call gsi_metguess_get ('var::ps', ivar, istatus ) proceed=ivar>0 call gsi_metguess_get ('var::z' , ivar, istatus ) proceed=proceed.and.ivar>0 call gsi_metguess_get ('var::uwnd10m', ivar, istatus ) proceed=proceed.and.ivar>0 call gsi_metguess_get ('var::vwnd10m', ivar, istatus ) proceed=proceed.and.ivar>0 call gsi_metguess_get ('var::wspd10m', ivar, istatus ) proceed=proceed.and.ivar>0 call gsi_metguess_get ('var::tv', ivar, istatus ) proceed=proceed.and.ivar>0 end subroutine check_vars_ subroutine init_vars_ real(r_kind),dimension(:,: ),pointer:: rank2=>NULL() real(r_kind),dimension(:,:,:),pointer:: rank3=>NULL() character(len=10) :: varname integer(i_kind) ifld, istatus ! If require guess vars available, extract from bundle ... if(size(gsi_metguess_bundle)==nfldsig) then ! get uwnd10m ... varname='uwnd10m' call gsi_bundlegetpointer(gsi_metguess_bundle(1),trim(varname),rank2,istatus) if (istatus==0) then if(allocated(ges_uwnd10m))then write(6,*) trim(myname), ': ', trim(varname), ' already incorrectly alloc ' call stop2(999) endif allocate(ges_uwnd10m(size(rank2,1),size(rank2,2),nfldsig)) ges_uwnd10m(:,:,1)=rank2 do ifld=2,nfldsig call gsi_bundlegetpointer(gsi_metguess_bundle(ifld),trim(varname),rank2,istatus) ges_uwnd10m(:,:,ifld)=rank2 enddo else write(6,*) trim(myname),': ', trim(varname), ' not found in met bundle, ier= ',istatus call stop2(999) endif ! get vwnd10m ... varname='vwnd10m' call gsi_bundlegetpointer(gsi_metguess_bundle(1),trim(varname),rank2,istatus) if (istatus==0) then if(allocated(ges_vwnd10m))then write(6,*) trim(myname), ': ', trim(varname), ' already incorrectly alloc ' call stop2(999) endif allocate(ges_vwnd10m(size(rank2,1),size(rank2,2),nfldsig)) ges_vwnd10m(:,:,1)=rank2 do ifld=2,nfldsig call gsi_bundlegetpointer(gsi_metguess_bundle(ifld),trim(varname),rank2,istatus) ges_vwnd10m(:,:,ifld)=rank2 enddo else write(6,*) trim(myname),': ', trim(varname), ' not found in met bundle, ier= ',istatus call stop2(999) endif ! get wspd10m ... varname='wspd10m' call gsi_bundlegetpointer(gsi_metguess_bundle(1),trim(varname),rank2,istatus) if (istatus==0) then if(allocated(ges_wspd10m))then write(6,*) trim(myname), ': ', trim(varname), ' already incorrectly alloc ' call stop2(999) endif allocate(ges_wspd10m(size(rank2,1),size(rank2,2),nfldsig)) ges_wspd10m(:,:,1)=rank2 do ifld=2,nfldsig call gsi_bundlegetpointer(gsi_metguess_bundle(ifld),trim(varname),rank2,istatus) ges_wspd10m(:,:,ifld)=rank2 enddo else write(6,*) trim(myname),': ', trim(varname), ' not found in met bundle, ier= ',istatus call stop2(999) endif ! get ps ... varname='ps' call gsi_bundlegetpointer(gsi_metguess_bundle(1),trim(varname),rank2,istatus) if (istatus==0) then if(allocated(ges_ps))then write(6,*) trim(myname), ': ', trim(varname), ' already incorrectly alloc ' call stop2(999) endif allocate(ges_ps(size(rank2,1),size(rank2,2),nfldsig)) ges_ps(:,:,1)=rank2 do ifld=2,nfldsig call gsi_bundlegetpointer(gsi_metguess_bundle(ifld),trim(varname),rank2,istatus) ges_ps(:,:,ifld)=rank2 enddo else write(6,*) trim(myname),': ', trim(varname), ' not found in met bundle, ier= ',istatus call stop2(999) endif ! get z ... varname='z' call gsi_bundlegetpointer(gsi_metguess_bundle(1),trim(varname),rank2,istatus) if (istatus==0) then if(allocated(ges_z))then write(6,*) trim(myname), ': ', trim(varname), ' already incorrectly alloc ' call stop2(999) endif allocate(ges_z(size(rank2,1),size(rank2,2),nfldsig)) ges_z(:,:,1)=rank2 do ifld=2,nfldsig call gsi_bundlegetpointer(gsi_metguess_bundle(ifld),trim(varname),rank2,istatus) ges_z(:,:,ifld)=rank2 enddo else write(6,*) trim(myname),': ', trim(varname), ' not found in met bundle, ier= ',istatus call stop2(999) endif ! get tv ... varname='tv' call gsi_bundlegetpointer(gsi_metguess_bundle(1),trim(varname),rank3,istatus) if (istatus==0) then if(allocated(ges_tv))then write(6,*) trim(myname), ': ', trim(varname), ' already incorrectly alloc ' call stop2(999) endif allocate(ges_tv(size(rank3,1),size(rank3,2),size(rank3,3),nfldsig)) ges_tv(:,:,:,1)=rank3 do ifld=2,nfldsig call gsi_bundlegetpointer(gsi_metguess_bundle(ifld),trim(varname),rank3,istatus) ges_tv(:,:,:,ifld)=rank3 enddo else write(6,*) trim(myname),': ', trim(varname), ' not found in met bundle, ier= ',istatus call stop2(999) endif else write(6,*) trim(myname), ': inconsistent vector sizes (nfldsig,size(metguess_bundle) ',& nfldsig,size(gsi_metguess_bundle) call stop2(999) endif end subroutine init_vars_ subroutine init_netcdf_diag_ character(len=80) string character(len=128) diag_conv_file integer(i_kind) ncd_fileid,ncd_nobs logical append_diag logical,parameter::verbose=.false. write(string,900) jiter 900 format('conv_v10m_',i2.2,'.nc4') diag_conv_file=trim(dirname) // trim(string) inquire(file=diag_conv_file, exist=append_diag) if (append_diag) then call nc_diag_read_init(diag_conv_file,ncd_fileid) ncd_nobs = nc_diag_read_get_dim(ncd_fileid,'nobs') call nc_diag_read_close(diag_conv_file) if (ncd_nobs > 0) then if(verbose) print *,'file ' // trim(diag_conv_file) // ' exists. Appending. nobs,mype=',ncd_nobs,mype else if(verbose) print *,'file ' // trim(diag_conv_file) // ' exists but contains no obs. Not appending. nobs,mype=',ncd_nobs,mype append_diag = .false. ! if there are no obs in existing file, then do not try to append endif end if call nc_diag_init(diag_conv_file, append=append_diag) if (.not. append_diag) then ! don't write headers on append - the module will break? call nc_diag_header("date_time",ianldate ) endif end subroutine init_netcdf_diag_ subroutine contents_binary_diag_(odiag) type(obs_diag),pointer,intent(in):: odiag cdiagbuf(ii) = station_id ! station id rdiagbuf(1,ii) = ictype(ikx) ! observation type rdiagbuf(2,ii) = icsubtype(ikx) ! observation subtype rdiagbuf(3,ii) = data(ilate,i) ! observation latitude (degrees) rdiagbuf(4,ii) = data(ilone,i) ! observation longitude (degrees) rdiagbuf(5,ii) = data(ielev,i) ! station elevation (meters) rdiagbuf(6,ii) = presw ! observation pressure (hPa) rdiagbuf(7,ii) = data(ihgt,i) ! observation height (meters) rdiagbuf(8,ii) = dtime-time_offset ! obs time (hours relative to analysis time) rdiagbuf(9,ii) = data(iqc,i) ! input prepbufr qc or event mark rdiagbuf(10,ii) = rmiss_single ! setup qc or event mark rdiagbuf(11,ii) = data(iuse,i) ! read_prepbufr data usage flag if(muse(i)) then rdiagbuf(12,ii) = one ! analysis usage flag (1=use, -1=not used) else rdiagbuf(12,ii) = -one endif rdiagbuf(13,ii) = rwgt ! nonlinear qc relative weight rdiagbuf(14,ii) = errinv_input ! prepbufr inverse obs error (ms**-1) rdiagbuf(15,ii) = errinv_adjst ! read_prepbufr inverse obs error (ms**-1) rdiagbuf(16,ii) = errinv_final ! final inverse observation error (ms**-1) rdiagbuf(17,ii) = data(ivob,i) ! 10m vwind observation (ms**-1) rdiagbuf(18,ii) = ddiff ! obs-ges used in analysis (ms**-1) rdiagbuf(19,ii) = data(ivob,i)-vgesin! obs-ges w/o bias correction (ms**-1) (future slot) rdiagbuf(20,ii) = data(iuob,i) ! 10m vwind observation (ms**-1) rdiagbuf(21,ii) = dudiff ! uob-ges (ms**-1) rdiagbuf(22,ii) = data(iuob,i)-ugesin! uob-ges w/o bias correction (ms**-1) (future slot) if(regional .and. .not. fv3_regional) then ! replace positions 17-22 with earth relative wind component information uob_reg=data(iuob,i) vob_reg=data(ivob,i) dlon_e=data(ilone,i)*deg2rad call rotate_wind_xy2ll(uob_reg,vob_reg,uob_e,vob_e,dlon_e,dlon,dlat) call rotate_wind_xy2ll(ugesin,vgesin,uges_e,vges_e,dlon_e,dlon,dlat) call rotate_wind_xy2ll(ddiff,dvdiff,dudiff_e,dvdiff_e,dlon_e,dlon,dlat) rdiagbuf(17,ii) = uob_e ! earth relative u wind component observation (m/s) rdiagbuf(18,ii) = dudiff_e ! earth relative u obs-ges used in analysis (m/s) rdiagbuf(19,ii) = uob_e-uges_e ! earth relative u obs-ges w/o bias correction (m/s) (future slot) rdiagbuf(20,ii) = vob_e ! earth relative v wind component observation (m/s) rdiagbuf(21,ii) = dvdiff_e ! earth relative v obs-ges used in analysis (m/s) rdiagbuf(22,ii) = vob_e-vges_e ! earth relative v obs-ges w/o bias correction (m/s) (future slot) end if rdiagbuf(23,ii) = factw ! 10m wind reduction factor ioff=ioff0 if (lobsdiagsave) then do jj=1,miter ioff=ioff+1 if (odiag%muse(jj)) then rdiagbuf(ioff,ii) = one else rdiagbuf(ioff,ii) = -one endif enddo do jj=1,miter+1 ioff=ioff+1 rdiagbuf(ioff,ii) = odiag%nldepart(jj) enddo do jj=1,miter ioff=ioff+1 rdiagbuf(ioff,ii) = odiag%tldepart(jj) enddo do jj=1,miter ioff=ioff+1 rdiagbuf(ioff,ii) = odiag%obssen(jj) enddo endif if (twodvar_regional) then rdiagbuf(ioff+1,ii) = data(idomsfc,i) ! dominant surface type rdiagbuf(ioff+2,ii) = data(izz,i) ! model terrain at ob location r_prvstg = data(iprvd,i) cprvstg(ii) = c_prvstg ! provider name r_sprvstg = data(isprvd,i) csprvstg(ii) = c_sprvstg ! subprovider name endif end subroutine contents_binary_diag_ subroutine contents_netcdf_diag_(odiag) type(obs_diag),pointer,intent(in):: odiag ! Observation class character(7),parameter :: obsclass = 'vwnd10m' real(r_kind),dimension(miter) :: obsdiag_iuse call nc_diag_metadata("Station_ID", station_id ) call nc_diag_metadata("Observation_Class", obsclass ) call nc_diag_metadata("Observation_Type", ictype(ikx) ) call nc_diag_metadata("Observation_Subtype", icsubtype(ikx) ) call nc_diag_metadata("Latitude", data(ilate,i) ) call nc_diag_metadata("Longitude", data(ilone,i) ) call nc_diag_metadata("Station_Elevation", data(ielev,i) ) call nc_diag_metadata("Pressure", presw ) call nc_diag_metadata("Height", data(ihgt,i) ) call nc_diag_metadata("Time", dtime-time_offset ) call nc_diag_metadata("Prep_QC_Mark", data(iqc,i) ) call nc_diag_metadata("Setup_QC_Mark", bmiss ) call nc_diag_metadata("Prep_Use_Flag", data(iuse,i) ) if(muse(i)) then call nc_diag_metadata("Analysis_Use_Flag", one ) else call nc_diag_metadata("Analysis_Use_Flag", -one ) endif call nc_diag_metadata("Nonlinear_QC_Rel_Wgt", rwgt ) call nc_diag_metadata("Errinv_Input", errinv_input ) call nc_diag_metadata("Errinv_Adjust", errinv_adjst ) call nc_diag_metadata("Errinv_Final", errinv_final ) call nc_diag_metadata("u_Observation", data(ivob,i) ) call nc_diag_metadata("u_Obs_Minus_Forecast_adjusted", ddiff ) call nc_diag_metadata("u_Obs_Minus_Forecast_unadjusted",data(ivob,i)-vgesin) call nc_diag_metadata("v_Observation", data(iuob,i) ) call nc_diag_metadata("v_Obs_Minus_Forecast_adjusted", dudiff ) call nc_diag_metadata("v_Obs_Minus_Forecast_unadjusted", data(iuob,i)-ugesin) if(regional .and. .not. fv3_regional) then ! replace positions 17-22 with earth relative wind component information uob_reg=data(iuob,i) vob_reg=data(ivob,i) dlon_e=data(ilone,i)*deg2rad call rotate_wind_xy2ll(uob_reg,vob_reg,uob_e,vob_e,dlon_e,dlon,dlat) call rotate_wind_xy2ll(ugesin,vgesin,uges_e,vges_e,dlon_e,dlon,dlat) call rotate_wind_xy2ll(ddiff,dvdiff,dudiff_e,dvdiff_e,dlon_e,dlon,dlat) rdiagbuf(17,ii) = uob_e ! earth relative u wind component observation (m/s) rdiagbuf(18,ii) = dudiff_e ! earth relative u obs-ges used in analysis (m/s) rdiagbuf(19,ii) = uob_e-uges_e ! earth relative u obs-ges w/o bias correction (m/s) (future slot) rdiagbuf(20,ii) = vob_e ! earth relative v wind component observation (m/s) rdiagbuf(21,ii) = dvdiff_e ! earth relative v obs-ges used in analysis (m/s) rdiagbuf(22,ii) = vob_e-vges_e ! earth relative v obs-ges w/o bias correction (m/s) (future slot) call nc_diag_metadata("u_Observation", uob_e ) call nc_diag_metadata("u_Obs_Minus_Forecast_adjusted", dudiff_e ) call nc_diag_metadata("u_Obs_Minus_Forecast_unadjusted",uob_e-uges_e ) call nc_diag_metadata("v_Observation", vob_e ) call nc_diag_metadata("v_Obs_Minus_Forecast_adjusted", dvdiff_e ) call nc_diag_metadata("v_Obs_Minus_Forecast_unadjusted", vob_e-vges_e ) end if call nc_diag_metadata("Wind_Reduction_Factor_at_10m", factw ) ioff=ioff0 if (lobsdiagsave) then do jj=1,miter ioff=ioff+1 if (odiag%muse(jj)) then rdiagbuf(ioff,ii) = one else rdiagbuf(ioff,ii) = -one endif enddo call nc_diag_data2d("ObsDiagSave_iuse", obsdiag_iuse) call nc_diag_data2d("ObsDiagSave_nldepart", odiag%nldepart ) call nc_diag_data2d("ObsDiagSave_tldepart", odiag%tldepart ) call nc_diag_data2d("ObsDiagSave_obssen", odiag%obssen ) endif if (twodvar_regional) then call nc_diag_metadata("Dominant_Sfc_Type", data(idomsfc,i)) call nc_diag_metadata("Model_Terrain", data(izz,i)) r_prvstg = data(iprvd,i) cprvstg(ii) = c_prvstg ! provider name r_sprvstg = data(isprvd,i) csprvstg(ii) = c_sprvstg ! subprovider name endif end subroutine contents_netcdf_diag_ subroutine final_vars_ if(allocated(ges_z )) deallocate(ges_z ) if(allocated(ges_ps )) deallocate(ges_ps ) if(allocated(ges_tv )) deallocate(ges_tv ) if(allocated(ges_uwnd10m)) deallocate(ges_uwnd10m) if(allocated(ges_vwnd10m)) deallocate(ges_vwnd10m) if(allocated(ges_wspd10m)) deallocate(ges_wspd10m) end subroutine final_vars_ end subroutine setupvwnd10m end module vwnd10m_setup