module wspd10m_setup implicit none private public:: setup interface setup; module procedure setupwspd10m; end interface contains subroutine setupwspd10m(obsLL,odiagLL,lunin,mype,bwork,awork,nele,nobs,is,conv_diagsave) !$$$ subprogram documentation block ! . . . . ! subprogram: setupwspd10m compute rhs for conventional 10 m wind speed ! prgmmr: pondeca org: np23 date: 2014-03-19 ! ! abstract: For 10-m wind speed observations ! a) reads obs assigned to given mpi task (geographic region), ! b) simulates obs from guess, ! c) apply some quality control to obs, ! d) load weight and innovation arrays used in minimization ! e) collects statistics for runtime diagnostic output ! f) writes additional diagnostic information to output file ! ! program history log: ! 2014-03-19 pondeca ! 2014-09-16 carley - remove unused vars ! 2015-03-11 pondeca - Modify for possibility of not using obsdiag ! 2016-05-18 guo - replaced ob_type with polymorphic obsNode through type casting ! 2016-06-24 guo - fixed the default value of obsdiags(:,:)%tail%luse to luse(i) ! . removed (%dlat,%dlon) debris. ! 2016-10-07 pondeca - if(.not.proceed) advance through input file first ! before retuning to setuprhsall.f90 ! 2017-02-06 todling - add netcdf_diag capability; hidden as contained code ! 2017-02-09 guo - Remove m_alloc, n_alloc. ! . Remove my_node with corrected typecast(). ! 2018-01-08 pondeca - addd option l_closeobs to use closest obs to analysis ! time in analysis ! 2019-06-07 levine - add option to read in surface obs (mesonets) with ! geometric based height rather than pressure height. ! This is to account for mesonets with sensor height < 10 m. ! 2019-08-12 zhang/levine/pondeca - add option to adjust 10-m bckg wind with the help of ! similarity theory in twodvar_regional applications ! ! input argument list: ! lunin - unit from which to read observations ! mype - mpi task id ! nele - number of data elements per observation ! nobs - number of observations ! ! output argument list: ! bwork - array containing information about obs-ges statistics ! awork - array containing information for data counts and gross checks ! ! attributes: ! language: f90 ! machine: ibm RS/6000 SP ! !$$$ use mpeu_util, only: die,perr,getindex use kinds, only: r_kind,r_single,r_double,i_kind use guess_grids, only: hrdifsig,nfldsig,ges_lnprsl, & geop_hgtl,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,lobsdiag_forenkf,& lobsdiagsave,nobskeep,lobsdiag_allocated,time_offset,bmiss 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 m_obsNode , only: obsNode use m_wspd10mNode, only: wspd10mNode use m_wspd10mNode, only: wspd10mNode_appendto use m_obsLList , only: obsLList use obsmod, only: luse_obsdiag use obsmod, only: neutral_stability_windfact_2dvar,use_similarity_2dvar 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,pt_ll 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,grav_equator,somigliana, & semi_major_axis,deg2rad,eccentricity use jfunc, only: jiter,last,jiterstart,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 use state_vectors, only: svars3d, levels use sparsearr, only: sparr2 use aux2dvarflds, only: rtma_comp_fact10 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=0.1_r_kind*bmiss character(len=*),parameter:: myname='setupwspd10m' ! 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_wspd10m,wgross,wnotgross,wgt,arg,exp_arg,rat_err2,qcgross real(r_kind) presw,factw,dpres,sfcchk,ugesin,vgesin,dpressave real(r_kind) ugesin_scaled,vgesin_scaled real(r_kind) qcu,qcv,fact real(r_kind) ratio_errors,tfact,wflate,psges,zsges,goverrd,spdob real(r_kind) slat,sin2,termg,termr,termrg,pobl,uob,vob 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),dimension(nobs):: dup real(r_kind),dimension(nsig)::prsltmp,tges,zges real(r_kind) wdirob,wdirgesin,wdirdiffmax real(r_kind) delz real(r_kind) dz,zob,z1,z2,p1,p2,dz21,dlnp21,spdb,dstn 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,k1,k2,ikxx,nn,isli,ibin,ioff,ioff0,jj,itype integer(i_kind) iz,u_ind,v_ind 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 z_height,sfc_data logical lowlevelsat,msonetob 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, save_jacobian type(wspd10mNode), pointer:: my_head type(obs_diag ), pointer:: my_diag type(obs_diags ), pointer:: my_diagLL real(r_kind) :: hr_offset type(sparr2) :: dhx_dx_u, dhx_dx_v 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_u real(r_kind),allocatable,dimension(:,:,:,:) :: ges_v real(r_kind),allocatable,dimension(:,:,:,:) :: ges_tv real(r_kind),allocatable,dimension(:,:,: ) :: ges_wspd10m type(obsLList),pointer,dimension(:):: wspd10mhead wspd10mhead => obsLL(:) save_jacobian = conv_diagsave .and. jiter==jiterstart .and. lobsdiag_forenkf ! 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 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 setupwspd10m, 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) ! Type 221=pibal winds contain a mixture of wind observations reported ! by pressure and others by height. Those levels only reported by ! pressure have a missing value (ie, large) value for the reported ! height. The logic below determines whether to process type 221 ! wind observations using height or pressure as the vertical coordinate. ! If height is not bad (less than r0_1_bmiss), we use height in the ! forward model. Otherwise, use reported pressure. z_height = .false. if ((itype>=221 .and. itype <= 229) .and. (data(ihgt,i)=280 .and. itype < 300) !sfc_data now includes 2dvar so mesonet sensor heights are read in if (z_height .or. sfc_data) then drpx = zero dpres = data(ihgt,i) dstn = data(ielev,i) call tintrp2a11(ges_z,zsges,dlat,dlon,dtime,hrdifsig,& mype,nfldsig) ! Subtract off combination of surface station elevation and ! model elevation depending on how close to surface fact = zero if(dpres-dstn > 10._r_kind)then if(dpres-dstn > r1000)then fact = one else fact=(dpres-dstn)/990._r_kind end if end if dpres=dpres-(dstn+fact*(zsges-dstn)) if(itype==261) dpres = data(ihgt,i) ! Get guess surface elevation and geopotential height profile ! at observation location. call tintrp2a1(geop_hgtl,zges,dlat,dlon,dtime,hrdifsig,& nsig,mype,nfldsig) ! For observation reported with geometric height above sea level, ! convert geopotential to geometric height. if (((itype>=223 .and. itype<=228) .or. sfc_data) .and. .not.twodvar_regional) then ! Convert geopotential height at layer midpoints to geometric ! height using equations (17, 20, 23) in MJ Mahoney's note ! "A discussion of various measures of altitude" (2001). ! Available on the web at ! http://mtp.jpl.nasa.gov/notes/altitude/altitude.html ! ! termg = equation 17 ! termr = equation 21 ! termrg = first term in the denominator of equation 23 ! zges = equation 23 slat = data(ilate,i)*deg2rad sin2 = sin(slat)*sin(slat) termg = grav_equator * & ((one+somigliana*sin2)/sqrt(one-eccentricity*eccentricity*sin2)) termr = semi_major_axis /(one + flattening + grav_ratio - & two*flattening*sin2) termrg = (termg/grav)*termr do k=1,nsig zges(k) = (termr*zges(k)) / (termrg-zges(k)) ! eq (23) end do else if (twodvar_regional) then !If 2dvar (rtma/urma), default geometric height is always 10 m zges(1)=ten endif ! Given observation height, (1) adjust 10 meter wind factor if ! necessary, (2) convert height to grid relative units, (3) compute ! compute observation pressure (for diagnostic purposes only), and ! (4) compute location of midpoint of first model layer above surface ! in grid relative units ! Adjust 10m wind factor if necessary. Rarely do we have a ! profiler/vad obs within 10 meters of the surface. Almost always, ! the code below resets the 10m wind factor to 1.0 (i.e., no ! reduction in wind speed due to surface friction). ! Convert observation height (in dpres) from meters to grid relative ! units. Save the observation height in zob for later use. zob = dpres call grdcrd1(dpres,zges,nsig,1) ! Interpolate guess wind speed to observation location and time. call tintrp31(ges_u,ugesin,dlat,dlon,dpres,dtime, & hrdifsig,mype,nfldsig) call tintrp31(ges_v,vgesin,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 u_ind = getindex(svars3d, 'u') if (u_ind < 0) then print *, 'Error: no variable u in state vector. Exiting.' call stop2(1300) endif v_ind = getindex(svars3d, 'v') if (v_ind < 0) then print *, 'Error: no variable v in state vector. Exiting.' call stop2(1300) endif dhx_dx_u%st_ind(1) = iz + sum(levels(1:u_ind-1)) dhx_dx_u%end_ind(1) = min(iz + 1,nsig) + sum(levels(1:u_ind-1)) dhx_dx_v%st_ind(1) = iz + sum(levels(1:v_ind-1)) dhx_dx_v%end_ind(1) = min(iz + 1,nsig) + sum(levels(1:v_ind-1)) dhx_dx_u%val(1) = one - delz dhx_dx_u%val(2) = delz dhx_dx_v%val = dhx_dx_u%val endif msonetob=itype==288.or.itype==295 if (zob <= zero) zob=ten !trap for stations with negative zob if (zob > zges(1)) 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 if (zob <= ten) then if(zob < ten)then if (msonetob .and. twodvar_regional .and. use_similarity_2dvar) then if (neutral_stability_windfact_2dvar) then sfcr = data(isfcr,i) factw=log(max(sfcr,zob)/sfcr)/log(ten/sfcr) else sfcr = data(isfcr,i) skint = data(iskint,i) call rtma_comp_fact10(dlat,dlon,dtime,zob,skint,sfcr,isli,mype,factw) endif else term = max(zob,zero)/ten factw = term*factw endif end if else term = (zges(1)-zob)/(zges(1)-ten) factw = one-term+factw*term end if spdges=factw*spdges ugesin=factw*ugesin vgesin=factw*vgesin if (save_jacobian) then dhx_dx_u%val = factw * dhx_dx_u%val dhx_dx_v%val = factw * dhx_dx_v%val endif endif if(sfc_data .or. dpres < one) then drpx=0.005_r_kind*abs(dstn-zsges)*(one-fact) end if ! Compute observation pressure (only used for diagnostics) if (twodvar_regional) then presw = ten*exp(data(ipres,i)) else ! Set indices of model levels below (k1) and above (k2) observation. if (dpresnsig) then z1=zges(nsig-1); p1=prsltmp(nsig-1) z2=zges(nsig); p2=prsltmp(nsig) drpx = 1.e6_r_kind else k=dpres k1=min(max(1,k),nsig) k2=max(1,min(k+1,nsig)) z1=zges(k1); p1=prsltmp(k1) z2=zges(k2); p2=prsltmp(k2) endif dz21 = z2-z1 dlnp21 = p2-p1 dz = zob-z1 pobl = p1 + (dlnp21/dz21)*dz presw = ten*exp(pobl) endif ! Determine location in terms of grid units for midpoint of ! first layer above surface sfcchk=zero call grdcrd1(sfcchk,zges,nsig,1) else ! 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 tintrp31(ges_u,ugesin,dlat,dlon,dpres,dtime, & hrdifsig,mype,nfldsig) call tintrp31(ges_v,vgesin,dlat,dlon,dpres,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) endif !(z_height .or. sfc_data) ! 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 ratio_errors=error/(data(ier,i)+drpx+wflate+1.0e6*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) spdob = factw*spdob endif dudiff=uob-ugesin dvdiff=vob-vgesin spdb=sqrt(uob**2+vob**2)-sqrt(ugesin**2+vgesin**2) ddiff=spdob-spdges 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) 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 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 if (ictype(ikx)==288 .or. ictype(ikx)==295) then !Tyndall & Horel QC for mesonet winds /(WAF 2013, Vol. 28, pg. 285) if (spdob five ) 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_wspd10m=cvar_b(ikx) wgross = cg_term*cvar_pg(ikx)/(cg_wspd10m*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(spdob-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 wspd10mNode_appendto(my_head,wspd10mhead(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)then if(netcdf_diag) call nc_diag_write if(binary_diag .and. ii>0)then write(7)'wst',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 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::z' , ivar, istatus ) proceed=proceed.and.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::wspd10m', 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 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 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 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_wspd10m_',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) = spdob ! 10m wind speed observation (ms**-1) rdiagbuf(18,ii) = ddiff ! obs-ges used in analysis (ms**-1) rdiagbuf(19,ii) = spdob-spdges ! obs-ges w/o bias correction (ms**-1) (future slot) rdiagbuf(20,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 = 'wspd10m' 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("Prep_Use_Flag", data(iuse,i) ) ! call nc_diag_metadata("Nonlinear_QC_Var_Jb", var_jb ) call nc_diag_metadata("Nonlinear_QC_Rel_Wgt", rwgt ) 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("Errinv_Input", errinv_input ) call nc_diag_metadata("Errinv_Adjust", errinv_adjst ) call nc_diag_metadata("Errinv_Final", errinv_final ) call nc_diag_metadata("Observation", spdob ) call nc_diag_metadata("Obs_Minus_Forecast_adjusted", ddiff ) call nc_diag_metadata("Obs_Minus_Forecast_unadjusted", spdob-spdges ) if (lobsdiagsave) then do jj=1,miter if (odiag%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", 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) call nc_diag_metadata("Provider_Name", c_prvstg ) r_sprvstg = data(isprvd,i) call nc_diag_metadata("Subprovider_Name", c_sprvstg ) 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_u )) deallocate(ges_u ) if(allocated(ges_v )) deallocate(ges_v ) if(allocated(ges_wspd10m)) deallocate(ges_wspd10m) end subroutine final_vars_ end subroutine setupwspd10m end module wspd10m_setup