!------------------------------------------------------------------------- ! NOAA/NCEP, National Centers for Environmental Prediction GSI ! !------------------------------------------------------------------------- !BOP ! ! !ROUTINE: setupt --- Compute rhs of oi for temperature obs ! ! !INTERFACE: ! subroutine setupt(lunin,mype,bwork,awork,nele,nobs,is,conv_diagsave) ! !USES: use mpeu_util, only: die,perr,getindex use kinds, only: r_kind,r_single,r_double,i_kind use m_obsdiags, only: thead use obsmod, only: sfcmodel,perturb_obs,oberror_tune,lobsdiag_forenkf,ianldate,& i_t_ob_type,obsdiags,lobsdiagsave,nobskeep,lobsdiag_allocated,time_offset use m_obsNode, only: obsNode use m_tNode, only: tNode use m_obsLList, only: obsLList_appendNode use obsmod, only: obs_diag,luse_obsdiag use gsi_4dvar, only: nobs_bins,hr_obsbin,min_offset use obsmod, only: netcdf_diag, binary_diag, dirname 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 qcmod, only: npres_print,dfact,dfact1,ptop,pbot,buddycheck_t use qcmod, only: njqc,vqc use oneobmod, only: oneobtest use oneobmod, only: maginnov use oneobmod, only: magoberr use gridmod, only: nsig,twodvar_regional,regional use gridmod, only: get_ijk use jfunc, only: jiter,last,jiterstart,miter use guess_grids, only: nfldsig, hrdifsig,ges_lnprsl,& geop_hgtl,ges_tsen,pt_ll,pbl_height use state_vectors, only: svars3d, levels, nsdim use constants, only: zero, one, four,t0c,rd_over_cp,three,rd_over_cp_mass,ten use constants, only: tiny_r_kind,half,two,cg_term use constants, only: huge_single,r1000,wgtlim,r10,fv use constants, only: one_quad use convinfo, only: nconvtype,cermin,cermax,cgross,cvar_b,cvar_pg,ictype,icsubtype use converr_t, only: ptabl_t use converr, only: ptabl use rapidrefresh_cldsurf_mod, only: l_gsd_terrain_match_surftobs,l_sfcobserror_ramp_t use rapidrefresh_cldsurf_mod, only: l_pbl_pseudo_surfobst, pblh_ration,pps_press_incr use rapidrefresh_cldsurf_mod, only: i_use_2mt4b,i_sfct_gross,l_closeobs,i_coastline use aircraftinfo, only: npredt,predt,aircraft_t_bc_pof,aircraft_t_bc, & aircraft_t_bc_ext,ostats_t,rstats_t,upd_pred_t use m_dtime, only: dtime_setup, dtime_check, dtime_show use gsi_bundlemod, only : gsi_bundlegetpointer use gsi_metguess_mod, only : gsi_metguess_get,gsi_metguess_bundle use buddycheck_mod, only: buddy_check_t use sparsearr, only: sparr2, new, size, writearray, fullarray implicit none ! !INPUT PARAMETERS: integer(i_kind) , intent(in ) :: lunin ! file unit from which to read observations integer(i_kind) , intent(in ) :: mype ! mpi task id integer(i_kind) , intent(in ) :: nele ! number of data elements per observation integer(i_kind) , intent(in ) :: nobs ! number of observations integer(i_kind) , intent(in ) :: is ! ndat index logical , intent(in ) :: conv_diagsave ! logical to save innovation dignostics ! !INPUT/OUTPUT PARAMETERS: ! array containing information ... real(r_kind),dimension(npres_print,nconvtype,5,3), intent(inout) :: bwork ! about o-g stats real(r_kind),dimension(100+7*nsig) , intent(inout) :: awork ! for data counts and gross checks ! !DESCRIPTION: For temperature observations, this routine ! \begin{enumerate} ! \item reads obs assigned to given mpi task (geographic region), ! \item simulates obs from guess, ! \item apply some quality control to obs, ! \item load weight and innovation arrays used in minimization ! \item collects statistics for runtime diagnostic output ! \item writes additional diagnostic information to output file ! \end{enumerate} ! ! !REVISION HISTORY: ! ! 1990-10-06 parrish ! 1998-04-10 weiyu yang ! 1999-03-01 wu - ozone processing moved into setuprhs from setupoz ! 1999-08-24 derber, j., treadon, r., yang, w., first frozen mpp version ! 2004-06-17 treadon - update documentation ! 2004-07-15 todling - protex-compliant prologue; added intent/only's ! 2004-10-06 parrish - increase size of twork array for nonlinear qc ! 2004-11-22 derber - remove weight, add logical for boundary point ! 2004-12-22 treadon - move logical conv_diagsave from obsmod to argument list ! 2005-03-02 dee - remove garbage from diagnostic file ! 2005-03-09 parrish - nonlinear qc change to account for inflated obs error ! 2005-05-27 derber - level output change ! 2005-07-27 derber - add print of monitoring and reject data ! 2005-09-28 derber - combine with prep,spr,remove tran and clean up ! 2005-10-14 derber - input grid location and fix regional lat/lon ! 2005-10-21 su -modified variational qc and diagnostic output ! 2005-10-27 su - correct error in longitude index for diagnostic output ! 2005-11-03 treadon - correct error in ilone,ilate data array indices ! 2005-11-22 wu - add option to perturb conventional obs ! 2005-11-29 derber - remove psfcg and use ges_lnps instead ! 2005-12-20 parrish - add boundary layer forward model option ! 2005-12-20 parrish - correct dimension error in declaration of prsltmp ! 2006-01-31 todling - storing wgt/wgtlim in diag file instead of wgt only ! 2006-02-02 treadon - rename lnprsl as ges_lnprsl ! 2006-02-24 derber - modify to take advantage of convinfo module ! 2006-03-21 treadon - modify optional perturbation to observation ! 2006-04-03 derber - optimize and fix bugs due to virtual temperature ! 2006-04-11 park - reset land mask for surface data based on observation type ! 2006-04-27 park - remove sensitivity test for surface TLM routine ! 2006-05-30 su,derber,treadon - modify diagnostic output ! 2006-06-06 su - move to wgtlim to constants module ! 2006-07-28 derber - modify to use new inner loop obs data structure ! - modify handling of multiple data at same location ! - unify NL qc for surface model ! 2006-07-31 kleist - use ges_ps instead of lnps ! 2006-08-28 su - fix a bug in variational qc ! 2006-09-28 treadon - add 10m wind factor to sfc_wtq_fwd call ! 2006-10-28 su - turn off rawinsonde Vqc at south hemisphere ! 2007-03-09 su - modify the observation perturbation ! 2007-03-19 tremolet - binning of observations ! 2007-06-05 tremolet - add observation diagnostics structure ! 2007-08-28 su - modify the observation gross check error ! 2008-03-24 wu - oberror tuning and perturb obs ! 2008-05-21 safford - rm unused vars ! 2008-09-08 lueken - merged ed's changes into q1fy09 code ! 2008-12-03 todling - changed handle of tail%time ! 2009-02-07 pondeca - for each observation site, add the following to the ! diagnostic file: local terrain height, dominate surface ! type, station provider name, and station subprovider name ! 2009-08-19 guo - changed for multi-pass setup with dtime_check(). ! 2010-06-10 Hu - add call for terrain match for surface T obs ! 2011-05-06 Su - modify the observation gross check error ! 2011-12-14 wu - add code for rawinsonde level enhancement ( ext_sonde ) ! 2011-10-14 Hu - add code for adjusting surface temperature observation error ! 2011-10-14 Hu - add code for producing pseudo-obs in PBL ! layer based on surface obs T ! 2011-10-14 Hu - add code for using 2-m temperature as background to ! calculate surface temperauture observation ! innovation ! 2013-01-26 parrish - change grdcrd to grdcrd1, tintrp2a to tintrp2a1, tintrp2a11, ! tintrp3 to tintrp31 (so debug compile works on WCOSS) ! 2013-05-17 zhu - add contribution from aircraft temperature bias correction ! - with option aircraft_t_bc_pof or aircraft_t_bc ! 2013-05-24 wu - move rawinsonde level enhancement ( ext_sonde ) to read_prepbufr ! 2013-10-19 todling - metguess now holds background ! 2014-01-28 todling - write sensitivity slot indicator (idia) to header of diagfile ! 2014-03-04 sienkiewicz - implementation of option aircraft_t_bc_ext (external table) ! 2014-04-12 su - add non linear qc from Purser's scheme ! 2014-10-01 zhu - apply aircraft temperature bias correction to kx=130 ! 2014-10-06 carley - add call to buddy check for twodvar_regional option ! 2014-12-30 derber - Modify for possibility of not using obsdiag ! 2014-12-30 derber - Modify for possibility of not using obsdiag ! 2015-02-09 Sienkiewicz - handling new KX=199 drifting buoys ! 2015-10-01 guo - full res obvsr: index to allow redistribution of obsdiags ! 2015-12-21 yang - Parrish's correction to the previous code in new ! 2016-05-18 guo - replaced ob_type with polymorphic obsNode through type casting ! 2016-06-24 guo - fixed the default value of obsdiags(:,:)%tail%luse to luse(i) ! . removed (%dlat,%dlon) debris. ! 2016-11-29 shlyaeva - save linearized H(x) for EnKF ! 2016-12-09 mccarty - add netcdf_diag capability ! 2017-03-31 Hu - addd option l_closeobs to use closest obs to analysis ! time in analysis ! 2017-03-31 Hu - addd option i_coastline to use observation operater ! for coastline area ! 2018-04-09 pondeca - introduce duplogic to correctly handle the characterization of ! duplicate obs in twodvar_regional applications ! ! !REMARKS: ! language: f90 ! machine: ibm RS/6000 SP; SGI Origin 2000; Compaq/HP ! ! !AUTHOR: ! parrish org: np22 date: 1990-10-06 ! !EOP !------------------------------------------------------------------------- ! Declare local parameters real(r_kind),parameter:: r0_001 = 0.001_r_kind real(r_kind),parameter:: r0_7=0.7_r_kind real(r_kind),parameter:: r8 = 8.0_r_kind real(r_kind),parameter:: r3p5 = 3.5_r_kind character(len=*),parameter :: myname='setupt' ! Declare external calls for code analysis external:: SFC_WTQ_FWD external:: get_tlm_tsfc external:: tintrp2a1,tintrp2a11 external:: tintrp31 external:: grdcrd1 external:: stop2 ! Declare local variables real(r_kind) :: delz real(r_double) rstation_id real(r_kind) rsig,drpx,rsigp real(r_kind) psges,sfcchk,pres_diff,rlow,rhgh,ramp real(r_kind) pof_idx,poaf,effective real(r_kind) tges real(r_kind) obserror,ratio,val2,obserrlm,ratiosfc real(r_kind) residual,ressw2,scale,ress,ratio_errors,tob,ddiff real(r_kind) val,valqc,dlon,dlat,dtime,dpres,error,prest,rwgt,var_jb real(r_kind) errinv_input,errinv_adjst,errinv_final real(r_kind) err_input,err_adjst,err_final,tfact real(r_kind) cg_t,wgross,wnotgross,wgt,arg,exp_arg,term,rat_err2,qcgross real(r_kind),dimension(nobs)::dup real(r_kind),dimension(nsig):: prsltmp real(r_kind),dimension(nele,nobs):: data real(r_kind),dimension(npredt):: predbias real(r_kind),dimension(npredt):: pred real(r_kind),dimension(npredt):: predcoef real(r_kind) tgges,roges real(r_kind),dimension(nsig):: tvtmp,qtmp,utmp,vtmp,hsges real(r_kind) u10ges,v10ges,t2ges,q2ges,psges2,f10ges real(r_kind),dimension(34) :: ptablt real(r_single),allocatable,dimension(:,:)::rdiagbuf real(r_single),allocatable,dimension(:,:)::rdiagbufp real(r_kind),dimension(nsig):: prsltmp2 integer(i_kind) i,j,nchar,nreal,k,ii,iip,jj,l,nn,ibin,idia,idia0,ix,ijb integer(i_kind) mm1,jsig,iqt integer(i_kind) itype,msges integer(i_kind) ier,ilon,ilat,ipres,itob,id,itime,ikx,iqc,iptrb,icat,ipof,ivvlc,idx integer(i_kind) ier2,iuse,ilate,ilone,ikxx,istnelv,iobshgt,izz,iprvd,isprvd integer(i_kind) regime,istat integer(i_kind) idomsfc,iskint,iff10,isfcr integer(i_kind),dimension(nobs):: buddyuse type(sparr2) :: dhx_dx real(r_single), dimension(nsdim) :: dhx_dx_array integer(i_kind) :: iz, t_ind, nind, nnz character(8) station_id character(8),allocatable,dimension(:):: cdiagbuf,cdiagbufp character(8),allocatable,dimension(:):: cprvstg,csprvstg character(8) c_prvstg,c_sprvstg real(r_double) r_prvstg,r_sprvstg logical,dimension(nobs):: luse,muse integer(i_kind),dimension(nobs):: ioid ! initial (pre-distribution) obs ID logical sfctype logical iqtflg logical aircraftobst logical duplogic logical:: in_curbin, in_anybin, save_jacobian logical proceed integer(i_kind),dimension(nobs_bins) :: n_alloc integer(i_kind),dimension(nobs_bins) :: m_alloc class(obsNode),pointer:: my_node type(tNode),pointer:: my_head type(obs_diag),pointer:: my_diag real(r_kind) :: thisPBL_height,ratio_PBL_height,prestsfc,diffsfc,dthetav real(r_kind) :: tges2m,qges2m,tges2m_water,qges2m_water 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 real(r_kind),allocatable,dimension(:,:,:,:) :: ges_u real(r_kind),allocatable,dimension(:,:,:,:) :: ges_v real(r_kind),allocatable,dimension(:,:,:,:) :: ges_tv real(r_kind),allocatable,dimension(:,:,:,:) :: ges_q real(r_kind),allocatable,dimension(:,:,: ) :: ges_q2 real(r_kind),allocatable,dimension(:,:,: ) :: ges_th2 save_jacobian = conv_diagsave .and. jiter==jiterstart .and. lobsdiag_forenkf n_alloc(:)=0 m_alloc(:)=0 ! Check to see if required guess fields are available call check_vars_(proceed) if(.not.proceed) return ! not all vars available, simply return ! If require guess vars available, extract from bundle ... call init_vars_ !********************************************************************************* ! Read and reformat observations in work arrays. read(lunin)data,luse,ioid ! call GSD terrain match for surface temperature observation if(l_gsd_terrain_match_surftobs) then call gsd_terrain_match_surfTobs(mype,nele,nobs,data) endif ! 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 itob=5 ! index of t observation id=6 ! index of station id itime=7 ! index of observation time in data array ikxx=8 ! index of ob type iqt=9 ! index of flag indicating if moisture ob available iqc=10 ! index of quality mark ier2=11 ! index of original-original obs error ratio iuse=12 ! index of use parameter idomsfc=13 ! index of dominant surface type iskint=14 ! index of surface skin temperature iff10=15 ! index of 10 meter wind factor isfcr=16 ! index of surface roughness ilone=17 ! index of longitude (degrees) ilate=18 ! index of latitude (degrees) istnelv=19 ! index of station elevation (m) iobshgt=20 ! index of observation height (m) izz=21 ! index of surface height iprvd=22 ! index of observation provider isprvd=23 ! index of observation subprovider icat=24 ! index of data level category ijb=25 ! index of non linear qc parameter if (aircraft_t_bc_pof .or. aircraft_t_bc .or. aircraft_t_bc_ext) then ipof=26 ! index of data pof ivvlc=27 ! index of data vertical velocity idx=28 ! index of tail number iptrb=29 ! index of t perturbation else iptrb=26 ! index of t perturbation end if do i=1,nobs muse(i)=nint(data(iuse,i)) <= jiter end do var_jb=zero ! handle multiple reported data at a station hr_offset=min_offset/60.0_r_kind dup=one do k=1,nobs do l=k+1,nobs if (twodvar_regional) then duplogic=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) else duplogic=data(ilat,k) == data(ilat,l) .and. & data(ilon,k) == data(ilon,l) .and. & data(ipres,k) == data(ipres,l) .and. & data(ier,k) < r1000 .and. data(ier,l) < r1000 .and. & muse(k) .and. muse(l) end if if (duplogic) then if(l_closeobs) then if(abs(data(itime,k)-hr_offset)179.and.itype<190).or.(itype>=192.and.itype<=199) iqtflg=nint(data(iqt,i)) == 0 var_jb=data(ijb,i) ! write(6,*) 'SETUPT:itype,var_jb,ijb=',itype,var_jb,ijb ! Load observation value and observation error into local variables tob=data(itob,i) obserror = max(cermin(ikx),min(cermax(ikx),data(ier,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 ! Link obs to diagnostics structure if(luse_obsdiag)then if (.not.lobsdiag_allocated) then if (.not.associated(obsdiags(i_t_ob_type,ibin)%head)) then obsdiags(i_t_ob_type,ibin)%n_alloc = 0 allocate(obsdiags(i_t_ob_type,ibin)%head,stat=istat) if (istat/=0) then write(6,*)'setupt: failure to allocate obsdiags',istat call stop2(298) end if obsdiags(i_t_ob_type,ibin)%tail => obsdiags(i_t_ob_type,ibin)%head else allocate(obsdiags(i_t_ob_type,ibin)%tail%next,stat=istat) if (istat/=0) then write(6,*)'setupt: failure to allocate obsdiags',istat call stop2(298) end if obsdiags(i_t_ob_type,ibin)%tail => obsdiags(i_t_ob_type,ibin)%tail%next end if obsdiags(i_t_ob_type,ibin)%n_alloc = obsdiags(i_t_ob_type,ibin)%n_alloc +1 allocate(obsdiags(i_t_ob_type,ibin)%tail%muse(miter+1)) allocate(obsdiags(i_t_ob_type,ibin)%tail%nldepart(miter+1)) allocate(obsdiags(i_t_ob_type,ibin)%tail%tldepart(miter)) allocate(obsdiags(i_t_ob_type,ibin)%tail%obssen(miter)) obsdiags(i_t_ob_type,ibin)%tail%indxglb=ioid(i) obsdiags(i_t_ob_type,ibin)%tail%nchnperobs=-99999 obsdiags(i_t_ob_type,ibin)%tail%luse=luse(i) obsdiags(i_t_ob_type,ibin)%tail%muse(:)=.false. obsdiags(i_t_ob_type,ibin)%tail%nldepart(:)=-huge(zero) obsdiags(i_t_ob_type,ibin)%tail%tldepart(:)=zero obsdiags(i_t_ob_type,ibin)%tail%wgtjo=-huge(zero) obsdiags(i_t_ob_type,ibin)%tail%obssen(:)=zero n_alloc(ibin) = n_alloc(ibin) +1 my_diag => obsdiags(i_t_ob_type,ibin)%tail my_diag%idv = is my_diag%iob = ioid(i) my_diag%ich = 1 my_diag%elat= data(ilate,i) my_diag%elon= data(ilone,i) else if (.not.associated(obsdiags(i_t_ob_type,ibin)%tail)) then obsdiags(i_t_ob_type,ibin)%tail => obsdiags(i_t_ob_type,ibin)%head else obsdiags(i_t_ob_type,ibin)%tail => obsdiags(i_t_ob_type,ibin)%tail%next end if if (.not.associated(obsdiags(i_t_ob_type,ibin)%tail)) then call die(myname,'.not.associated(obsdiags(i_t_ob_type,ibin)%tail)') end if if (obsdiags(i_t_ob_type,ibin)%tail%indxglb/=ioid(i)) then write(6,*)'setupt: index error' call stop2(300) end if endif endif if(.not.in_curbin) cycle ! Compute bias correction for aircraft data if (aircraft_t_bc_pof .or. aircraft_t_bc .or. aircraft_t_bc_ext) then pof_idx = zero do j = 1, npredt pred(j) = zero predbias(j) = zero end do end if ! aircraftobst = itype>129.and.itype<140 aircraftobst = (itype==131) .or. (itype>=133 .and. itype<=135) .or. (itype==130) !for currently known types ix = 0 if (aircraftobst .and. (aircraft_t_bc_pof .or. aircraft_t_bc .or. aircraft_t_bc_ext)) then ix = data(idx,i) if (ix==0) then ! Inflate obs error for new tail number if ( .not. aircraft_t_bc_ext ) & data(ier,i) = 1.2_r_kind*data(ier,i) else ! Bias for existing tail numbers do j = 1, npredt predcoef(j) = predt(j,ix) end do ! inflate obs error for any uninitialized tail number if (all(predcoef==zero) .and. .not. aircraft_t_bc_ext) then data(ier,i) = 1.2_r_kind*data(ier,i) end if ! define predictors if (aircraft_t_bc) then pof_idx = one pred(1) = one if (abs(data(ivvlc,i))>=50.0_r_kind) then pred(2) = zero pred(3) = zero data(ier,i) = 1.2_r_kind*data(ier,i) else pred(2) = data(ivvlc,i) pred(3) = data(ivvlc,i)*data(ivvlc,i) end if end if if (aircraft_t_bc_pof) then ! data(ipof,i)==5 (ascending); 6 (descending); 3 (cruise level) if (data(ipof,i) == 3.0_r_kind) then pof_idx = one pred(1) = one pred(2) = zero pred(3) = zero else if (data(ipof,i) == 6.0_r_kind) then pof_idx = one pred(1) = zero pred(2) = zero pred(3) = one else if (data(ipof,i) == 5.0_r_kind) then pof_idx = one pred(1) = zero pred(2) = one pred(3) = zero else pof_idx = zero pred(1) = one pred(2) = zero pred(3) = zero end if end if if (aircraft_t_bc_ext) pred(1) = one do j = 1, npredt predbias(j) = predcoef(j)*pred(j) end do end if end if ! Interpolate log(ps) & log(pres) at mid-layers to obs locations/times call tintrp2a11(ges_ps,psges,dlat,dlon,dtime,hrdifsig,& mype,nfldsig) call tintrp2a1(ges_lnprsl,prsltmp,dlat,dlon,dtime,hrdifsig,& nsig,mype,nfldsig) drpx=zero if(sfctype .and. .not.twodvar_regional) then drpx=abs(one-((one/exp(dpres-log(psges))))**rd_over_cp)*t0c end if ! Put obs pressure in correct units to get grid coord. number call grdcrd1(dpres,prsltmp(1),nsig,-1) ! Implementation of forward model ---------- if(sfctype.and.sfcmodel) then tgges=data(iskint,i) roges=data(isfcr,i) msges = 0 if(itype == 180 .or. itype == 182 .or. itype == 183 .or. itype == 199) then !sea msges=0 elseif(itype == 181 .or. itype == 187 .or. itype == 188) then !land msges=1 endif call tintrp2a1(ges_tv,tvtmp,dlat,dlon,dtime,hrdifsig,& nsig,mype,nfldsig) call tintrp2a1(ges_q,qtmp,dlat,dlon,dtime,hrdifsig,& nsig,mype,nfldsig) call tintrp2a1(ges_u,utmp,dlat,dlon,dtime,hrdifsig,& nsig,mype,nfldsig) call tintrp2a1(ges_v,vtmp,dlat,dlon,dtime,hrdifsig,& nsig,mype,nfldsig) call tintrp2a1(geop_hgtl,hsges,dlat,dlon,dtime,hrdifsig,& nsig,mype,nfldsig) psges2 = psges ! keep in cb prsltmp2 = exp(prsltmp) ! convert from ln p to cb call SFC_WTQ_FWD (psges2, tgges,& prsltmp2(1), tvtmp(1), qtmp(1), utmp(1), vtmp(1), & prsltmp2(2), tvtmp(2), qtmp(2), hsges(1), roges, msges, & f10ges,u10ges,v10ges, t2ges, q2ges, regime, iqtflg) tges = t2ges else if(iqtflg)then ! Interpolate guess tv to observation location and time call tintrp31(ges_tv,tges,dlat,dlon,dpres,dtime, & hrdifsig,mype,nfldsig) iz = max(1, min( int(dpres), nsig)) delz = max(zero, min(dpres - float(iz), one)) if (save_jacobian) then t_ind = getindex(svars3d, 'tv') if (t_ind < 0) then print *, 'Error: no variable tv in state vector. Exiting.' call stop2(1300) endif dhx_dx%st_ind(1) = iz + sum(levels(1:t_ind-1)) dhx_dx%end_ind(1) = min(iz + 1,nsig) + sum(levels(1:t_ind-1)) dhx_dx%val(1) = one - delz ! weight for iz's level dhx_dx%val(2) = delz ! weight for iz+1's level endif else ! Interpolate guess tsen to observation location and time call tintrp31(ges_tsen,tges,dlat,dlon,dpres,dtime, & hrdifsig,mype,nfldsig) iz = max(1, min( int(dpres), nsig)) delz = max(zero, min(dpres - float(iz), one)) if (save_jacobian) then t_ind = getindex(svars3d, 'tsen') if (t_ind < 0) then print *, 'Error: no variable tsen in state vector. Exiting.' call stop2(1300) endif dhx_dx%st_ind(1) = iz + sum(levels(1:t_ind-1)) dhx_dx%end_ind(1) = min(iz + 1,nsig) + sum(levels(1:t_ind-1)) dhx_dx%val(1) = one - delz ! weight for iz's level dhx_dx%val(2) = delz ! weight for iz+1's level endif end if if(i_use_2mt4b>0 .and. sfctype) then if(i_coastline==1 .or. i_coastline==3) then ! Interpolate guess th 2m to observation location and time call tintrp2a11_csln(ges_th2,tges2m,tges2m_water,dlat,dlon,dtime,hrdifsig,& mype,nfldsig) tges2m=tges2m*(r10*psges/r1000)**rd_over_cp_mass ! convert to sensible T tges2m_water=tges2m_water*(r10*psges/r1000)**rd_over_cp_mass ! convert to sensible T if(iqtflg)then call tintrp2a11_csln(ges_q2,qges2m,qges2m_water,dlat,dlon,dtime,hrdifsig,& mype,nfldsig) tges2m=tges2m*(one+fv*qges2m) ! convert to virtual T tges2m_water=tges2m_water*(one+fv*qges2m_water) ! convert to virtual T endif if( abs(tob-tges2m) > abs(tob-tges2m_water)) tges2m=tges2m_water else ! Interpolate guess th 2m to observation location and time call tintrp2a11(ges_th2,tges2m,dlat,dlon,dtime,hrdifsig,& mype,nfldsig) tges2m=tges2m*(r10*psges/r1000)**rd_over_cp_mass ! convert to sensible T if(iqtflg)then call tintrp2a11(ges_q2,qges2m,dlat,dlon,dtime,hrdifsig,& mype,nfldsig) tges2m=tges2m*(one+fv*qges2m) ! convert to virtual T endif endif endif endif ! Get approximate k value of surface by using surface pressure sfcchk=log(psges) call grdcrd1(sfcchk,prsltmp(1),nsig,-1) ! Check to see if observations is above the top of the model (regional mode) if(sfctype)then if(abs(dpres)>four) drpx=1.0e10_r_kind pres_diff=prest-r10*psges if (twodvar_regional .and. abs(pres_diff)>=r1000) drpx=1.0e10_r_kind end if rlow=max(sfcchk-dpres,zero) ! linear variation of observation ramp [between grid points 1(~3mb) and 15(~45mb) below the surface] if(l_sfcobserror_ramp_t) then ramp=min(max(((rlow-1.0_r_kind)/(15.0_r_kind-1.0_r_kind)),0.0_r_kind),1.0_r_kind) else ramp=rlow endif rhgh=max(zero,dpres-rsigp-r0_001) if(sfctype.and.sfcmodel) dpres = one ! place sfc T obs at the model sfc 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 ratio_errors=error/(data(ier,i)+drpx+1.0e6_r_kind*rhgh+r8*ramp) error=one/error ! if (dpres > rsig) ratio_errors=zero if (dpres > rsig )then if( regional .and. prest > pt_ll )then dpres=rsig else ratio_errors=zero endif endif ! Compute innovation if(i_use_2mt4b>0 .and. sfctype) then ddiff = tob-tges2m else ddiff = tob-tges endif ! Apply bias correction to innovation if (aircraftobst .and. (aircraft_t_bc_pof .or. aircraft_t_bc .or. & aircraft_t_bc_ext)) then do j = 1, npredt ddiff = ddiff - predbias(j) end do end if ! If requested, setup for single obs test. if (oneobtest) then ddiff = maginnov error=one/magoberr ratio_errors=one endif ! Gross error checks obserror = one/max(ratio_errors*error,tiny_r_kind) obserrlm = max(cermin(ikx),min(cermax(ikx),obserror)) residual = abs(ddiff) ratio = residual/obserrlm ratiosfc = ddiff/obserrlm ! modify gross check limit for quality mark=3 if(data(iqc,i) == three ) then qcgross=r0_7*cgross(ikx) else qcgross=cgross(ikx) endif if (twodvar_regional) then ! Gross error relaxation for when buddycheck_t==.true. if (buddycheck_t) then if (buddyuse(i)==1) then ! - Passed buddy check, relax gross qc qcgross=r3p5*qcgross data(iuse,i)=data(iuse,i)+0.50_r_kind ! So we can identify obs with relaxed gross qc ! in diag files (will show as an extra 0.50 appended) else if (buddyuse(i)==0) then ! - Buddy check did not run (too few buddies, rusage >= 100, outside twindow, etc.) ! - In the case of an isolated ob in complex terrain, see about relaxing the the gross qc if ( (data(iuse,i)-real(int(data(iuse,i)),kind=r_kind)) == 0.25_r_kind) then qcgross=r3p5*qcgross ! Terrain aware modification ! to gross error check end if else if (buddyuse(i)==-1) then ! - Observation has failed the buddy check - reject. ratio_errors = zero end if else if ( (data(iuse,i)-real(int(data(iuse,i)),kind=r_kind)) == 0.25_r_kind) then qcgross=r3p5*qcgross ! Terrain aware modification ! to gross error check end if endif if (sfctype .and. i_sfct_gross==1) then ! extend the threshold for surface T if(i_use_2mt4b<=0) tges2m=tges if ( tges2m-273.15_r_single < 5.0_r_single) then if (ratiosfc > 1.4_r_single*qcgross & .or. ratiosfc < -2.4_r_single*qcgross & .or. ratio_errors < tiny_r_kind) then if (luse(i)) awork(4) = awork(4)+one error = zero ratio_errors = zero else ratio_errors = ratio_errors/sqrt(dup(i)) end if else if (ratiosfc > qcgross .or. ratiosfc < -1.4_r_single*qcgross & .or. ratio_errors < tiny_r_kind) then if (luse(i)) awork(4) = awork(4)+one error = zero ratio_errors = zero else ratio_errors = ratio_errors/sqrt(dup(i)) end if endif else if (ratio > qcgross .or. ratio_errors < tiny_r_kind) then if (luse(i)) awork(4) = awork(4)+one error = zero ratio_errors = zero else ratio_errors = ratio_errors/sqrt(dup(i)) end if endif if (ratio_errors*error <=tiny_r_kind) muse(i)=.false. if (nobskeep>0 .and. luse_obsdiag) muse(i)=obsdiags(i_t_ob_type,ibin)%tail%muse(nobskeep) ! Oberror Tuning and Perturb Obs if(muse(i)) then if(oberror_tune )then if( jiter > jiterstart ) then ddiff=ddiff+data(iptrb,i)/error/ratio_errors endif else if(perturb_obs )then ddiff=ddiff+data(iptrb,i)/error/ratio_errors endif endif ! Compute penalty terms val = error*ddiff if(luse(i))then val2 = val*val exp_arg = -half*val2 rat_err2 = ratio_errors**2 if(njqc .and. var_jb>tiny_r_kind .and. var_jb < 10.0_r_kind .and. error >tiny_r_kind) then if(exp_arg == zero) then wgt=one else wgt=ddiff*error/sqrt(two*var_jb) wgt=tanh(wgt)/wgt endif term=-two*var_jb*rat_err2*log(cosh((val)/sqrt(two*var_jb))) rwgt = wgt/wgtlim valqc = -two*term else if (vqc .and. cvar_pg(ikx)> tiny_r_kind .and. error >tiny_r_kind) then arg = exp(exp_arg) wnotgross= one-cvar_pg(ikx) cg_t=cvar_b(ikx) wgross = cg_term*cvar_pg(ikx)/(cg_t*wnotgross) term =log((arg+wgross)/(one+wgross)) wgt = one-wgross/(arg+wgross) rwgt = wgt/wgtlim valqc = -two*rat_err2*term else term = exp_arg wgt = one rwgt = wgt/wgtlim valqc = -two*rat_err2*term endif ! Accumulate statistics for obs belonging to this task if(muse(i))then if(rwgt < one) awork(21) = awork(21)+one jsig = dpres jsig=max(1,min(jsig,nsig)) awork(jsig+3*nsig+100)=awork(jsig+3*nsig+100)+valqc awork(jsig+5*nsig+100)=awork(jsig+5*nsig+100)+one awork(jsig+6*nsig+100)=awork(jsig+6*nsig+100)+val2*rat_err2 end if ! Loop over pressure level groupings and obs to accumulate statistics ! as a function of observation type. ress = ddiff*scale ressw2 = ress*ress nn=1 if (.not. muse(i)) then nn=2 if(ratio_errors*error >=tiny_r_kind)nn=3 end if do k = 1,npres_print if(prest >ptop(k) .and. prest <= pbot(k))then bwork(k,ikx,1,nn) = bwork(k,ikx,1,nn)+one ! count bwork(k,ikx,2,nn) = bwork(k,ikx,2,nn)+ress ! (o-g) bwork(k,ikx,3,nn) = bwork(k,ikx,3,nn)+ressw2 ! (o-g)**2 bwork(k,ikx,4,nn) = bwork(k,ikx,4,nn)+val2*rat_err2 ! penalty bwork(k,ikx,5,nn) = bwork(k,ikx,5,nn)+valqc ! nonlin qc penalty end if end do end if ! Fill obs diagnostics structure if(luse_obsdiag)then obsdiags(i_t_ob_type,ibin)%tail%muse(jiter)=muse(i) obsdiags(i_t_ob_type,ibin)%tail%nldepart(jiter)=ddiff obsdiags(i_t_ob_type,ibin)%tail%wgtjo= (error*ratio_errors)**2 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 if (muse(i)) then allocate(my_head) m_alloc(ibin) = m_alloc(ibin) +1 my_node => my_head ! this is a workaround call obsLList_appendNode(thead(ibin),my_node) my_node => null() my_head%idv = is my_head%iob = ioid(i) my_head%elat= data(ilate,i) my_head%elon= data(ilone,i) allocate(my_head%pred(npredt)) ! Set (i,j,k) indices of guess gridpoint that bound obs location my_head%dlev= dpres call get_ijk(mm1,dlat,dlon,dpres,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%jb = var_jb my_head%use_sfc_model = sfctype.and.sfcmodel if(my_head%use_sfc_model) then call get_tlm_tsfc(my_head%tlm_tsfc(1), & psges2,tgges,prsltmp2(1), & tvtmp(1),qtmp(1),utmp(1),vtmp(1),hsges(1),roges,msges, & regime,iqtflg) else my_head%tlm_tsfc = zero endif my_head%luse = luse(i) my_head%tv_ob = iqtflg if (aircraft_t_bc_pof .or. aircraft_t_bc) then effective=upd_pred_t*pof_idx my_head%idx = data(idx,i) do j=1,npredt my_head%pred(j) = pred(j)*effective end do end if ! summation of observation number if (luse(i) .and. aircraftobst .and. (aircraft_t_bc_pof .or. aircraft_t_bc) .and. ix/=0) then do j=1,npredt if (aircraft_t_bc_pof) then poaf=data(ipof,i) if (poaf==3.0_r_kind .or. poaf==5.0_r_kind .or. poaf==6.0_r_kind) then if (j==1 .and. poaf == 3.0_r_kind) ostats_t(1,ix) = ostats_t(1,ix) + one_quad if (j==2 .and. poaf == 5.0_r_kind) ostats_t(2,ix) = ostats_t(2,ix) + one_quad if (j==3 .and. poaf == 6.0_r_kind) ostats_t(3,ix) = ostats_t(3,ix) + one_quad rstats_t(j,ix)=rstats_t(j,ix)+my_head%pred(j) & *my_head%pred(j)*(ratio_errors*error)**2*effective end if end if if (aircraft_t_bc) then if (j==1) ostats_t(1,ix) = ostats_t(1,ix) + one_quad*effective rstats_t(j,ix)=rstats_t(j,ix)+my_head%pred(j) & *my_head%pred(j)*(ratio_errors*error)**2*effective end if end do end if if(oberror_tune) then my_head%kx=ikx my_head%tpertb=data(iptrb,i)/error/ratio_errors if (njqc) then ptablt=ptabl_t else ptablt=ptabl endif if(prest > ptablt(2))then my_head%k1=1 else if( prest <= ptablt(33)) then my_head%k1=33 else k_loop: do k=2,32 if(prest > ptablt(k+1) .and. prest <= ptablt(k)) then my_head%k1=k exit k_loop endif enddo k_loop endif endif if(luse_obsdiag)then my_head%diags => obsdiags(i_t_ob_type,ibin)%tail my_diag => my_head%diags if(my_head%idv /= my_diag%idv .or. & my_head%iob /= my_diag%iob ) then call perr(myname,'mismatching %[head,diags]%(idv,iob,ibin) =', & (/is,ioid(i),ibin/)) call perr(myname,'my_head%(idv,iob) =',(/my_head%idv,my_head%iob/)) call perr(myname,'my_diag%(idv,iob) =',(/my_diag%idv,my_diag%iob/)) call die(myname) endif endif my_head => null() endif ! Save select output for diagnostic file 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_ if(netcdf_diag) call contents_netcdf_diag_ end if !!!!!!!!!!!!!! PBL pseudo surface obs !!!!!!!!!!!!!!!! if( .not. last .and. l_pbl_pseudo_surfobst .and. & ( itype==181 .or. itype==183 .or.itype==187 ) .and. & muse(i) .and. dpres > -1.0_r_kind ) then prestsfc=prest diffsfc=ddiff dthetav=ddiff*(r1000/prestsfc)**rd_over_cp_mass call tintrp2a11(pbl_height,thisPBL_height,dlat,dlon,dtime,hrdifsig,& mype,nfldsig) ! if (dthetav< -1.0_r_kind) then call tune_pbl_height(mype,dlat,dlon,prestsfc,thisPBL_height,dthetav) endif ! ratio_PBL_height = (prest - thisPBL_height) * pblh_ration if(ratio_PBL_height > zero) thisPBL_height = prest - ratio_PBL_height prest = prest - pps_press_incr DO while (prest > thisPBL_height) ratio_PBL_height=1.0_r_kind-(prestsfc-prest)/(prestsfc-thisPBL_height) allocate(my_head) m_alloc(ibin) = m_alloc(ibin) +1 my_node => my_head ! this is a workaround call obsLList_appendNode(thead(ibin),my_node) my_node => null() allocate(my_head%pred(npredt)) !!! find tob (tint) tob=data(itob,i) ! Put obs pressure in correct units to get grid coord. number dpres=log(prest/r10) call grdcrd1(dpres,prsltmp(1),nsig,-1) !!! find tges (tgint) if(iqtflg)then ! Interpolate guess tv to observation location and time call tintrp31(ges_tv,tges,dlat,dlon,dpres,dtime, & hrdifsig,mype,nfldsig) else ! Interpolate guess tsen to observation location and time call tintrp31(ges_tsen,tges,dlat,dlon,dpres,dtime, & hrdifsig,mype,nfldsig) endif !!! Set (i,j,k) indices of guess gridpoint that bound obs location my_head%dlev= dpres call get_ijk(mm1,dlat,dlon,dpres,my_head%ij,my_head%wij) !!! find ddiff ddiff = diffsfc*(0.5_r_kind + 0.5_r_kind*ratio_PBL_height) error=one/data(ier2,i) my_head%idv = is my_head%iob = ioid(i) my_head%elat= data(ilate,i) my_head%elon= data(ilone,i) 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%jb = var_jb my_head%use_sfc_model = sfctype.and.sfcmodel if(my_head%use_sfc_model) then call get_tlm_tsfc(my_head%tlm_tsfc(1), & psges2,tgges,prsltmp2(1), & tvtmp(1),qtmp(1),utmp(1),vtmp(1),hsges(1),roges,msges, & regime,iqtflg) else my_head%tlm_tsfc = zero endif my_head%luse = luse(i) my_head%tv_ob = iqtflg if(luse_obsdiag)then my_head%diags => obsdiags(i_t_ob_type,ibin)%tail my_diag => my_head%diags if(my_head%idv /= my_diag%idv .or. & my_head%iob /= my_diag%iob ) then call perr(myname,'mismatching %[head,diags]%(idv,iob,ibin) =', & (/is,i,ibin/)) call perr(myname,'my_head%(idv,iob) =',(/my_head%idv,my_head%iob/)) call perr(myname,'my_diag%(idv,iob) =',(/my_diag%idv,my_diag%iob/)) call die(myname) endif endif ! Save select output for diagnostic file if (conv_diagsave .and. luse(i)) then iip=iip+1 if(iip <= 3*nobs) then 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_diagp_ else iip=nobs endif if(netcdf_diag) call contents_netcdf_diagp_ end if prest = prest - pps_press_incr my_head => null() ENDDO endif ! 181,183,187 !!!!!!!!!!!!!!!!!! PBL pseudo surface obs !!!!!!!!!!!!!!!!!!!!!!! ! End of loop over observations end do ! Release memory of local guess arrays call final_vars_ ! Write information to diagnostic file if(conv_diagsave)then if(netcdf_diag) call nc_diag_write if(binary_diag .and. ii>0)then write(7)' t',nchar,nreal,ii+iip,mype,idia0 if(l_pbl_pseudo_surfobst .and. iip>0) then write(7)cdiagbuf(1:ii),cdiagbufp(1:iip),rdiagbuf(:,1:ii),rdiagbufp(:,1:iip) deallocate(cdiagbufp,rdiagbufp) else write(7)cdiagbuf(1:ii),rdiagbuf(:,1:ii) endif deallocate(cdiagbuf,rdiagbuf) if (twodvar_regional) then write(7)cprvstg(1:ii),csprvstg(1:ii) deallocate(cprvstg,csprvstg) endif end if 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::u' , ivar, istatus ) proceed=proceed.and.ivar>0 call gsi_metguess_get ('var::v' , ivar, istatus ) proceed=proceed.and.ivar>0 call gsi_metguess_get ('var::tv', ivar, istatus ) proceed=proceed.and.ivar>0 call gsi_metguess_get ('var::q', 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=5) :: varname integer(i_kind) ifld, istatus ! If require guess vars available, extract from bundle ... if(size(gsi_metguess_bundle)==nfldsig) then ! get ps ... varname='ps' 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_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 u ... varname='u' call gsi_bundlegetpointer(gsi_metguess_bundle(1),trim(varname),rank3,istatus) if (istatus==0) then if(allocated(ges_u))then write(6,*) trim(myname), ': ', trim(varname), ' already incorrectly alloc ' call stop2(999) endif allocate(ges_u(size(rank3,1),size(rank3,2),size(rank3,3),nfldsig)) ges_u(:,:,:,1)=rank3 do ifld=2,nfldsig call gsi_bundlegetpointer(gsi_metguess_bundle(ifld),trim(varname),rank3,istatus) ges_u(:,:,:,ifld)=rank3 enddo else write(6,*) trim(myname),': ', trim(varname), ' not found in met bundle, ier= ',istatus call stop2(999) endif ! get v ... varname='v' call gsi_bundlegetpointer(gsi_metguess_bundle(1),trim(varname),rank3,istatus) if (istatus==0) then if(allocated(ges_v))then write(6,*) trim(myname), ': ', trim(varname), ' already incorrectly alloc ' call stop2(999) endif allocate(ges_v(size(rank3,1),size(rank3,2),size(rank3,3),nfldsig)) ges_v(:,:,:,1)=rank3 do ifld=2,nfldsig call gsi_bundlegetpointer(gsi_metguess_bundle(ifld),trim(varname),rank3,istatus) ges_v(:,:,:,ifld)=rank3 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 ! get q ... varname='q' call gsi_bundlegetpointer(gsi_metguess_bundle(1),trim(varname),rank3,istatus) if (istatus==0) then if(allocated(ges_q))then write(6,*) trim(myname), ': ', trim(varname), ' already incorrectly alloc ' call stop2(999) endif allocate(ges_q(size(rank3,1),size(rank3,2),size(rank3,3),nfldsig)) ges_q(:,:,:,1)=rank3 do ifld=2,nfldsig call gsi_bundlegetpointer(gsi_metguess_bundle(ifld),trim(varname),rank3,istatus) ges_q(:,:,:,ifld)=rank3 enddo else write(6,*) trim(myname),': ', trim(varname), ' not found in met bundle, ier= ',istatus call stop2(999) endif if(i_use_2mt4b>0) then ! get th2m ... varname='th2m' 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_th2(size(rank2,1),size(rank2,2),nfldsig)) ges_th2(:,:,1)=rank2 do ifld=2,nfldsig call gsi_bundlegetpointer(gsi_metguess_bundle(ifld),trim(varname),rank2,istatus) ges_th2(:,:,ifld)=rank2 enddo else write(6,*) trim(myname),': ', trim(varname), ' not found in met bundle, ier= ',istatus call stop2(999) endif ! get q2m ... varname='q2m' 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_q2(size(rank2,1),size(rank2,2),nfldsig)) ges_q2(:,:,1)=rank2 do ifld=2,nfldsig call gsi_bundlegetpointer(gsi_metguess_bundle(ifld),trim(varname),rank2,istatus) ges_q2(:,:,ifld)=rank2 enddo else write(6,*) trim(myname),': ', trim(varname), ' not found in met bundle, ier= ',istatus call stop2(999) endif 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. ! open netcdf diag file write(string,900) jiter 900 format('conv_t_',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("Number_of_Predictors", npredt ) ! number of updating bias correction predictors call nc_diag_header("date_time",ianldate ) call nc_diag_header("Number_of_state_vars", nsdim ) endif end subroutine init_netcdf_diag_ subroutine contents_binary_diag_ 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(istnelv,i) ! station elevation (meters) rdiagbuf(6,ii) = prest ! observation pressure (hPa) rdiagbuf(7,ii) = data(iobshgt,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) = data(iqt,i) ! 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) is the combination of var_jb and non-linear qc relative weight ! in the format of: var_jb*1.0e+6 + rwgt rdiagbuf(13,ii) = var_jb*1.0e+6_r_single + rwgt ! combination of var_jb and rwgt rdiagbuf(14,ii) = errinv_input ! prepbufr inverse obs error (K**-1) rdiagbuf(15,ii) = errinv_adjst ! read_prepbufr inverse obs error (K**-1) rdiagbuf(16,ii) = errinv_final ! final inverse observation error (K**-1) rdiagbuf(17,ii) = data(itob,i) ! temperature observation (K) rdiagbuf(18,ii) = ddiff ! obs-ges used in analysis (K) rdiagbuf(19,ii) = tob-tges ! obs-ges w/o bias correction (K) (future slot) rdiagbuf(20,ii) = 1.e10_r_single ! spread (filled in by EnKF) if (aircraft_t_bc_pof .or. aircraft_t_bc .or. aircraft_t_bc_ext) then rdiagbuf(20,ii) = data(ipof,i) ! data pof rdiagbuf(21,ii) = data(ivvlc,i) ! data vertical velocity do j=1,npredt rdiagbuf(21+j,ii) = predbias(j) end do end if idia=idia0 if (lobsdiagsave) then do jj=1,miter idia=idia+1 if (obsdiags(i_t_ob_type,ibin)%tail%muse(jj)) then rdiagbuf(idia,ii) = one else rdiagbuf(idia,ii) = -one endif enddo do jj=1,miter+1 idia=idia+1 rdiagbuf(idia,ii) = obsdiags(i_t_ob_type,ibin)%tail%nldepart(jj) enddo do jj=1,miter idia=idia+1 rdiagbuf(idia,ii) = obsdiags(i_t_ob_type,ibin)%tail%tldepart(jj) enddo do jj=1,miter idia=idia+1 rdiagbuf(idia,ii) = obsdiags(i_t_ob_type,ibin)%tail%obssen(jj) enddo endif if (twodvar_regional) then idia = idia + 1 rdiagbuf(idia,ii) = data(idomsfc,i) ! dominate surface type idia = idia + 1 rdiagbuf(idia,ii) = data(izz,i) ! model terrain at observation location r_prvstg = data(iprvd,i) cprvstg(ii) = c_prvstg ! provider name r_sprvstg = data(isprvd,i) csprvstg(ii) = c_sprvstg ! subprovider name endif if (save_jacobian) then call writearray(dhx_dx, rdiagbuf(idia+1:nreal,ii)) idia = idia + size(dhx_dx) endif end subroutine contents_binary_diag_ subroutine contents_binary_diagp_ cdiagbufp(iip) = station_id ! station id rdiagbufp(1,iip) = ictype(ikx) ! observation type rdiagbufp(2,iip) = icsubtype(ikx) ! observation subtype rdiagbufp(3,iip) = data(ilate,i) ! observation latitude (degrees) rdiagbufp(4,iip) = data(ilone,i) ! observation longitude (degrees) rdiagbufp(5,iip) = data(istnelv,i) ! station elevation (meters) rdiagbufp(6,iip) = prest ! observation pressure (hPa) rdiagbufp(7,iip) = data(iobshgt,i) ! observation height (meters) rdiagbufp(8,iip) = dtime-time_offset ! obs time (hours relative to analysis time) rdiagbufp(9,iip) = data(iqc,i) ! input prepbufr qc or event mark rdiagbufp(10,iip) = data(iqt,i) ! setup qc or event mark rdiagbufp(11,iip) = data(iuse,i) ! read_prepbufr data usage flag if(muse(i)) then rdiagbufp(12,iip) = one ! analysis usage flag (1=use, -1=not used) else rdiagbufp(12,iip) = -one endif !rdiagbuf(13,ii) is the combination of var_jb and non-linear qc relative weight ! in the format of: var_jb*1.0e+6 + rwgt rdiagbufp(13,iip) = var_jb*1.0e+6_r_single + rwgt ! combination of var_jb and rwgt rdiagbufp(14,iip) = errinv_input ! prepbufr inverse obs error (K**-1) rdiagbufp(15,iip) = errinv_adjst ! read_prepbufr inverse obs error (K**-1) rdiagbufp(16,iip) = errinv_final ! final inverse observation error (K**-1) rdiagbufp(17,iip) = data(itob,i) ! temperature observation (K) rdiagbufp(18,iip) = ddiff ! obs-ges used in analysis (K) rdiagbufp(19,iip) = ddiff ! tob-tges ! obs-ges w/o bias correction (K) (future slot) rdiagbufp(20,iip) = 1.e10_r_single ! spread (filled in by EnKF) idia=idia0 if (save_jacobian) then call writearray(dhx_dx, rdiagbuf(idia+1:nreal,ii)) idia = idia + size(dhx_dx) endif end subroutine contents_binary_diagp_ subroutine contents_netcdf_diag_ ! Observation class character(7),parameter :: obsclass = ' t' real(r_single),parameter:: missing = -9.99e9_r_single 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", sngl(data(ilate,i)) ) call nc_diag_metadata("Longitude", sngl(data(ilone,i)) ) call nc_diag_metadata("Station_Elevation", sngl(data(istnelv,i)) ) call nc_diag_metadata("Pressure", sngl(prest) ) call nc_diag_metadata("Height", sngl(data(iobshgt,i)) ) call nc_diag_metadata("Time", sngl(dtime-time_offset)) call nc_diag_metadata("Prep_QC_Mark", sngl(data(iqc,i)) ) call nc_diag_metadata("Setup_QC_Mark", sngl(data(iqt,i)) ) call nc_diag_metadata("Prep_Use_Flag", sngl(data(iuse,i)) ) if(muse(i)) then call nc_diag_metadata("Analysis_Use_Flag", sngl(one) ) else call nc_diag_metadata("Analysis_Use_Flag", sngl(-one) ) endif call nc_diag_metadata("Nonlinear_QC_Rel_Wgt", sngl(rwgt) ) call nc_diag_metadata("Errinv_Input", sngl(errinv_input) ) call nc_diag_metadata("Errinv_Adjust", sngl(errinv_adjst) ) call nc_diag_metadata("Errinv_Final", sngl(errinv_final) ) call nc_diag_metadata("Observation", sngl(data(itob,i)) ) call nc_diag_metadata("Obs_Minus_Forecast_adjusted", sngl(ddiff) ) call nc_diag_metadata("Obs_Minus_Forecast_unadjusted", sngl(tob-tges) ) if (aircraft_t_bc_pof .or. aircraft_t_bc .or. aircraft_t_bc_ext) then call nc_diag_metadata("Data_Pof", sngl(data(ipof,i)) ) if (npredt .gt. one) then call nc_diag_data2d("Bias_Correction_Terms", sngl(predbias) ) else if (npredt .eq. one) then call nc_diag_metadata("Bias_Correction_Terms", sngl(predbias(1)) ) endif else call nc_diag_metadata("Data_Pof", missing ) if (npredt .gt. one) then do j=1,npredt predbias(j) = missing enddo call nc_diag_data2d("Bias_Correction_Terms", sngl(predbias) ) else if (npredt .eq. one) then call nc_diag_metadata("Bias_Correction_Terms", missing ) endif endif if (lobsdiagsave) then do jj=1,miter if (obsdiags(i_t_ob_type,ibin)%tail%muse(jj)) then obsdiag_iuse(jj) = one else obsdiag_iuse(jj) = -one endif enddo call nc_diag_data2d("ObsDiagSave_iuse", obsdiag_iuse ) call nc_diag_data2d("ObsDiagSave_nldepart", obsdiags(i_t_ob_type,ibin)%tail%nldepart ) call nc_diag_data2d("ObsDiagSave_tldepart", obsdiags(i_t_ob_type,ibin)%tail%tldepart ) call nc_diag_data2d("ObsDiagSave_obssen", obsdiags(i_t_ob_type,ibin)%tail%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) call nc_diag_metadata("Provider_Name", c_prvstg ) r_sprvstg = data(isprvd,i) call nc_diag_metadata("Subprovider_Name", c_sprvstg ) endif if (save_jacobian) then call fullarray(dhx_dx, dhx_dx_array) call nc_diag_data2d("Observation_Operator_Jacobian", dhx_dx_array) endif end subroutine contents_netcdf_diag_ subroutine contents_netcdf_diagp_ ! Observation class character(7),parameter :: obsclass = ' t' real(r_single),parameter:: missing = -9.99e9_r_single 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", sngl(data(ilate,i)) ) call nc_diag_metadata("Longitude", sngl(data(ilone,i)) ) call nc_diag_metadata("Station_Elevation", sngl(data(istnelv,i)) ) call nc_diag_metadata("Pressure", sngl(prest) ) call nc_diag_metadata("Height", sngl(data(iobshgt,i)) ) call nc_diag_metadata("Time", sngl(dtime-time_offset)) call nc_diag_metadata("Prep_QC_Mark", sngl(data(iqc,i)) ) call nc_diag_metadata("Setup_QC_Mark", sngl(data(iqt,i)) ) call nc_diag_metadata("Prep_Use_Flag", sngl(data(iuse,i)) ) if(muse(i)) then call nc_diag_metadata("Analysis_Use_Flag", sngl(one) ) else call nc_diag_metadata("Analysis_Use_Flag", sngl(-one) ) endif call nc_diag_metadata("Nonlinear_QC_Rel_Wgt", sngl(var_jb*1.0e+6+rwgt)) call nc_diag_metadata("Errinv_Input", sngl(errinv_input) ) call nc_diag_metadata("Errinv_Adjust", sngl(errinv_adjst) ) call nc_diag_metadata("Errinv_Final", sngl(errinv_final) ) call nc_diag_metadata("Observation", sngl(data(itob,i)) ) call nc_diag_metadata("Obs_Minus_Forecast_adjusted", sngl(ddiff) ) call nc_diag_metadata("Obs_Minus_Forecast_unadjusted", sngl(ddiff) ) if (save_jacobian) then call fullarray(dhx_dx, dhx_dx_array) call nc_diag_data2d("Observation_Operator_Jacobian", dhx_dx_array) endif end subroutine contents_netcdf_diagp_ subroutine final_vars_ if(allocated(ges_q )) deallocate(ges_q ) if(allocated(ges_tv)) deallocate(ges_tv) if(allocated(ges_v )) deallocate(ges_v ) if(allocated(ges_u )) deallocate(ges_u ) if(allocated(ges_ps)) deallocate(ges_ps) end subroutine final_vars_ end subroutine setupt !------------------------------------------------------------------------- ! NOAA/NCEP, National Centers for Environmental Prediction GSI ! !------------------------------------------------------------------------- !BOP ! ! !ROUTINE: ifind --- find character string in sorted list ! ! !INTERFACE: integer(i_kind) function ifind (sid,xsid,nsid) ! !USES: use kinds, only: i_kind implicit none ! !INPUT PARAMETERS: integer(i_kind) nsid character(len=8) sid(nsid), xsid ! !DESCRIPTION: Find character string in a sorted list - used to ! find aircraft tail id from list for bias correction ! ! !REVISION HISTORY: ! ! 2013-04-23 sienkiewicz Original routine ! !EOP !------------------------------------------------------------------------- ! Declare local variables integer(i_kind) istart,iend,imid if (xsid > sid(nsid) .or. xsid < sid(1)) then ifind = 0 return end if istart=0 iend=nsid+1 do while (iend-istart > 1) imid=(istart+iend)/2 if (xsid == sid(imid)) then ifind = imid return else if (xsid > sid(imid)) then istart = imid else iend = imid endif end do if (xsid == sid(iend)) then ifind = imid else ifind = 0 end if return end function ifind