! PROGRAM BC_ANN_1982_2020_Feb_2024 ! BC_ANN_1982-2020_Feb_2024.f90 Use Netcdf Integer, Parameter :: Yr1=1982, Yr2=2021, Nmon=12, Nreg=7, NLead=6, Nvar=17, Nfile=9 Integer, Parameter :: Nyrs=(Yr2-Yr1+1) Real, Parameter :: Miss=-99. Character (Len=4) :: vname(Nvar)=(/"pr_o","t2_o","tx_o","tm_o","pr","t2","tx","tm", & "h500","h850","olr","q2","rh2","slp","u200","u850","w700"/) Character (Len=10) :: v_unit(Nvar)=(/"mm/month","C deg","C deg","C deg","mm/month","C deg","C deg","C deg", & "m","m","w/m2","kg/kg","%","hPa","m/s","m/s","m/s"/) Integer :: Fcs_mon, Nyr1, NMax, Ncase, Ntc_var Character (Len=255) :: Fname Real, Allocatable :: lon(:),lat(:),Regs(:,:), X3d(:,:,:) ! xlon,xlat,xlev,xtime,Nlo,Nla,Nz,Nt Real, Allocatable :: xlon(:),xlat(:),xlev(:),xtime(:) Integer :: Nlo,Nla,Nz,Nt Integer :: Nlon, Nlat, Ntime, Ngrd, ilon, ilat, it Integer :: Mvars Real, Allocatable :: Dat_All(:,:,:,:,:) ! (Nlon,Nlat,Ntime,Nvar,NLead) - Anomaly data = Original data - Original Clim Real, Allocatable :: Dat_Org(:,:,:,:,:) ! (Nlon,Nlat,Ntime,Nvar,NLead) - Original data Real, Allocatable :: Clim (:,:,:,:,:) ! (Nlon,Nlat,Nmon,Nvar,NLead) - Original Clim Real, Allocatable :: Mod_Cli(:,:,:,:) ! (Nlon,Nlat,NLead,Nmon) - Model Climatological Mean Real, Allocatable :: Del_Cli(:,:,:,:) ! (Nlon,Nlat,NLead,Nmon) : Del = F - O, Tinh tu Chuong trinh nay Real, Allocatable :: Bias_Cli(:,:,:,:) ! (Nlon,Nlat,NLead,Nmon) - Model Cli. Bias = Model_Fcs - Obs ==> Corrected=Model_Fcs-Bias ! Neu Run_Cli=.true. thi nhan tu Del_Cli, neu Run_Cli=.false. thi doc tu file Real, Allocatable :: X_inp(:,:), Y_inp(:), Yest(:,:), Yhq(:,:) Character (Len=5) :: yvarn, Model_nm !-------------------------------------------------------------------------------- ! Regression: Real, Allocatable :: Xorg(:), Xhq(:) ! Real, Allocatable :: Beta(:,:,:,:) ! NLead,Nmon,Nreg,Mhq Integer :: Mhq, Nhq ! Mhq = Mxvar+1, Nhq=Nsample*Mhq Integer :: Nyear, imon ! Tong so nam co SL va chi so thang !-------------------------------------------------------------------------------- ! ANN: character (len=250) :: input_file, output_file, save_file character (len=250) :: Dir, Dir_ANN_Out, Dir_Cli, Dir_ANN_Save, Dir_Corrected logical :: training_mode ! Use for calculating scaling factors Integer :: Nsample, Nepoc, Nsample1 Real,allocatable, Dimension(:,:) :: Inputs, Outputs, Inputs_X, Outputs_Y Real,allocatable, Dimension(:) :: min_in, max_in, min_out, max_out Real :: mean_error, mean_error_check !------------------------------------------------------------------------------- integer :: Nin, Nhidden, Nout, iin, ihid, iout integer :: i,j,k Real,allocatable, Dimension(:,:) :: weight_ih, weight_ho, moment_ih, moment_ho Real,allocatable, Dimension(:) :: fin, fhid, fout, ftarget, delta_o, delta_h ! Training Real :: learning_rate0, learning_rate, momentum, error, tmp, mintmp logical :: debug, Run_Cli !-------------------------------------------------------------------------------- Integer :: Op_Nhidden, Op_Nepoc ! Optimal values Real :: Op_learning_rate Real, Allocatable :: X4d(:,:,:,:), X5d(:,:,:,:,:), F1d(:),O1d(:), Score_Cor(:,:,:), Score_AV(:,:,:) !------------------- For ANN ------------------------------------------------------------- Namelist /ann_info/ Nhidden,learning_rate,momentum,training_mode,Nepoc,debug Namelist /Model_info/ Model_nm, yvarn !-------------------------------------------------------------------------------- Open (1, file="Namelist_ANN_Training.txt",Status="old") Read (1, ann_info) Read (1, Model_info) learning_rate0 = learning_rate Fname="/home/tanpv/Data/AWC/Mask_VN_0.25_Corrected.nc" Call rd_ncdf_2d (Fname,lon,lat,Nlon,Nlat,Regs,"reg") ! 7 sub-regs mask !Model_nm="clWRF"; yvarn="pr" Dir="/home/tanpv/Progs/562_VNU/Data/For_BC/" Call Read_all_data (Dir,Model_nm) ! Chu y: Chuong trinh nay chi su dung Mem1 cua toan giai doan 1982-2021 de training ! Giai doan 1982-2011: LT6 = LT5 Call Calc_Clim_and_Anomaly ! Tinh trung binh khi hau va anomaly cua tat ca cac bien Call Calc_Bias_Cli (yvarn) ! Tinh Delta va Factor giua Obs clim va Model clim Dir_ANN_Save ="/home/tanpv/Data/562_VNU/0.25_VN/2024/ANN_Save/" Dir_Cli ="/work/projects/G09/562_VNU/0.25_VN/2024/Cli_Out/" !"/home/tanpv/Data/562_VNU/0.25_VN/Cli_Out/" Dir_Corrected ="/home/tanpv/Data/562_VNU/0.25_VN/2024/Corrected/" !-------------------------------------------------------------------------------- write (Fname,"(A)") trim(Dir_Cli)//"Clim_Mean_Bias_"//trim(Model_nm)//"_"//trim(yvarn)//".nc" Call Write_Clim_data (Fname) Nyear=Nyrs Do ilead=1,NLead if (Allocated(X5d)) Deallocate (X5d) Allocate (X5d(Nlon,Nlat,Nmon,Nyear,5)) ! 5th-dimension = 4: 1) OBS, 2) ANN est, 3) Cli BC, 4) Model out, 5) mlr X5d=Miss Do imon=1,Nmon if (Allocated(X4d)) Deallocate (X4d) Allocate (X4d(Nlon,Nlat,4,Nyrs)) !-1)) ! z=4: 1) Yobs, 2) Yest, 3) Ymodel, 4) Mlr X4d=Miss Do ireg=1,Nreg Call Make_Data (trim(yvarn),ireg,imon,ilead) write (save_file,"(3(A,I2.2),A)") trim(Dir_ANN_Save)//"Sav_"//trim(yvarn)//"_"//trim(Model_nm)//"_Reg_",ireg,"_mon_",imon,"_lead_",ilead,".txt" learning_rate = learning_rate0 ! 0.05 Call ANN_2023(Inputs_X,Outputs_Y,Nsample1,Mvars,1,Miss) !ANN_2023 (Xinp,Youtp,Nspl,MXvar,MYvar,Miss) Call Calc_HQTT (ilead,imon,ireg) ! Return to Xhq(Nsample1) Call Convert_to_lat_lon (ireg) ! Return to X4d Enddo Call Store_5th_Arr (ilead,imon) Enddo write (Fname,"(A,I2.2,A)") trim(Dir_Corrected)//"BC_Training_"//trim(yvarn)//"_"//trim(Model_nm)//"_lead_",ilead,".nc" Call Write_Out_4_Drought (Fname,yvarn) Enddo Fname=trim(Dir_Cli)//"Beta_"//trim(yvarn)//"_"//trim(Model_nm)//".nc" Call Write_Beta_HQ (Fname,yvarn) !-------------------------------------------------------------------------------- CONTAINS !-------------------------------------------------------------------------------- Subroutine Calc_HQTT (ilead,imon,ireg) Integer :: i,j,k, ilead,imon,ireg Real :: S,Q,U,RR,F, tmp Real, Allocatable :: X2d(:,:), Check(:), A(:) Real :: xtmp(Mvars) Logical :: OK ! Xhq(:), Beta(:) Mhq = Mvars+1 ! Tong cac bien Doc lap va 1 bien phu thuoc Allocate (X2d(Nsample1,Mhq),Check(Nsample1)) icount=0; Check=0 Do i=1,Nsample1 xtmp(1:Mvars)=X_inp(i,1:Mvars); OK=Valid_Ar1(xtmp,Mvars,Miss) if (Y_inp(i)/=Miss.AND.OK) then icount=icount+1; Check(i)=1 X2d(icount,1)=Y_inp(i); X2d(icount,2:Mhq)=X_inp(i,1:Mvars) endif Enddo Nhq = Mhq*icount ! N x M if (Allocated (Xorg)) Deallocate (Xorg) ! 1-D array X(N x M) Allocate (Xorg(Nhq)) i=0 Do j=1,Mhq Do it=1,icount ! Sample size i=i+1; Xorg(i)=X2d(it,j) ! Xorg(icount x Mhq) Enddo Enddo Nhq = icount ! Sample size Deallocate (X2d) Allocate (A(Mhq)) ! Regression Coefficiences Call REGRE(Xorg,Nhq,Mhq,A,S,Q,U,RR,F) if (.not.Allocated(Beta)) Allocate (Beta(NLead,Nmon,Nreg,Mhq)) ! To be written out to file Beta(ilead,imon,ireg,1:Mhq) = A(1:Mhq) ! Luu he so HQ ! Tinh gia tri HQ: if (Allocated (Xhq)) Deallocate (Xhq); Allocate (Xhq(Nsample1)); Xhq=Miss Do i=1,Nsample1 if (Check(i)==1) then tmp=0. Do j=2,Mhq tmp=tmp+A(j)*X_inp(i,j-1) Enddo Xhq(i)=A(1) + tmp endif Enddo Deallocate (A,Check) End Subroutine Calc_HQTT !-------------------------------------------------------------------------------- Subroutine Write_Beta_HQ (Fname,yvarn) Character (Len=*) :: Fname,yvarn Character (Len=250) :: var_nm, t_unit, var_ln, var_unit, lon_nm, lat_nm, z_nm, t_nm, var_longname Real :: xlead(NLead),xmon(Nmon),xreg(Nreg),xvar(Mhq) ! (Beta(NLead,Nmon,Nreg,Mhq) Do i=1,NLead; xlead(i)=i; Enddo Do i=1,Nmon; xmon (i)=i; Enddo Do i=1,Nreg; xreg (i)=i; Enddo Do i=1,Mhq; xvar (i)=i; Enddo t_unit="months since 1982-01-01 "; lon_nm="lead"; lat_nm="mon"; t_nm="reg"; z_nm="var" var_ln="Multi Linear Regression Coefficiences" Call wr_ncdf_4d (Fname,xlead,xmon,xreg,xvar,NLead,Nmon,Nreg,Mhq,Beta,"beta", & t_unit, var_ln, var_unit, lon_nm, lat_nm, z_nm, t_nm, Miss) End Subroutine Write_Beta_HQ !-------------------------------------------------------------------------------- Subroutine Write_Out_4_Drought (Fname,yvarn) Character (Len=*) :: Fname,yvarn Integer, parameter :: Nvar=5 ! For writing out Character (Len=250) :: var_nm, t_unit, var_ln, var_unit, lon_nm, lat_nm, z_nm, t_nm, var_longname Integer :: imon,iyr,imem,ivar,it, Nz Real, Allocatable :: Y4d(:,:,:,:), zlev(:), xtime(:) Character (Len=3), parameter :: vname(Nvar)=(/"obs","ann","mod","cli","mlr"/) Character (Len=20), parameter :: v_ln(Nvar)=(/"observation","ANN estimation","Model Forecast","Climatology bias correction","Multi Linear Reg."/) ! X6d(Nlon,Nlat,Nmon,Nyear,Nmem+1,5) Nz=Nvar; Allocate (zlev(Nz),xtime(Ntime),Y4d(Nlon,Nlat,Nz,Ntime)) Do i=1,Nz; zlev(i)=i; Enddo; Do i=1,Ntime; xtime(i)=i; Enddo t_unit="months since 1982-01-01 "; lon_nm="lon"; lat_nm="lat"; t_nm="month"; z_nm="member" if (trim(yvarn)=="pr") then var_unit="mm/month" else var_unit="C degree" endif var_ln="Outputs of "//trim(yvarn)//" for drought calculation. z=1:obs, 2:ann, 3:model, 4:cli, 5: mlr " Do ivar=1,Nvar it=0 Do iyr=1,Nyear Do imon=1,Nmon it=it+1; Do ilon=1,Nlon Do ilat=1,Nlat Y4d(ilon,ilat,ivar,it)=X5d(ilon,ilat,imon,iyr,ivar) Enddo Enddo Enddo Enddo Enddo Call wr_ncdf_4d (Fname,Lon,Lat,zlev,xtime,Nlon,Nlat,Nz,Ntime,Y4d,trim(yvarn), & t_unit, var_ln, var_unit, lon_nm, lat_nm, z_nm, t_nm, Miss) End Subroutine Write_Out_4_Drought !-------------------------------------------------------------------------------- Subroutine Write_Clim_data (Fname) ! Trung binh khi hau cua tat ca cac bien Character (Len=*) :: Fname Character (Len=250) :: var_ln1, t_unit, var_ln, var_unit, lon_nm, lat_nm, z_nm, t_nm Real, Allocatable, Dimension (:) :: zlev, xtime Real, Allocatable :: X4d(:,:,:,:) INteger :: i, Nz ! Real, Allocatable :: Clim (:,:,:,:,:) ! (Nlon,Nlat,Nmon,Nvar,NLead) - Original Clim ! Character (Len=4) :: vname(Nvar)=(/"pr_o","t2_o","tx_o","tm_o","pr","t2","tx","tm", & ! "h500","h850","olr","q2","rh2","slp","u200","u850","w700"/) ! Bias_Cli(Nlon,Nlat,NLead,Nmon) Allocate (zlev(NLead),xtime(Nmon),X4d(Nlon,Nlat,NLead,Nmon)) Do i=1,NLead; zlev(i)=i; Enddo; Do i=1,Nmon; xtime(i)=i; Enddo t_unit="months since 1982-01-01 "; lon_nm="lon"; lat_nm="lat"; t_nm="mon"; z_nm="lead" var_ln1="Climatological mean of the Model outputs and observarions for the period 1982-2020." Do ivar=1,Nvar Do ilead=1,NLead Do imon=1,Nmon Do ilon=1,Nlon Do ilat=1,Nlat X4d(ilon,ilat,ilead,imon)=Clim(ilon,ilat,imon,ivar,ilead) Enddo enddo Enddo Enddo var_ln=trim(var_ln1)//" Variable: "//trim(vname(ivar)) if (ivar==1) then Call wr_ncdf_4d (Fname,Lon,Lat,zlev,xtime,Nlon,Nlat,NLead,Nmon,X4d,trim(vname(ivar)), & t_unit, var_ln,trim(v_unit(ivar)), lon_nm, lat_nm, z_nm, t_nm, Miss) else Call wr_ncdf_4d_apd (Fname,X4d,trim(vname(ivar)), Nlon,Nlat,NLead,Nmon, & var_ln,trim(v_unit(ivar)), lon_nm, lat_nm, z_nm, t_nm, Miss) endif Enddo var_ln="Differences between model outputs and observarions used as climatological biases." if (yvarn=="pr") then; var_unit="mm/month"; else; var_unit="C deg"; endif Call wr_ncdf_4d_apd (Fname,Bias_Cli,"bias",Nlon,Nlat,NLead,Nmon, & var_ln,var_unit, lon_nm, lat_nm, z_nm, t_nm, Miss) print*,"Write_Bias_Cli... Done!" End Subroutine Write_Clim_data !-------------------------------------------------------------------------------- Subroutine Convert_to_lat_lon (ireg) Integer :: ireg,ilon,ilat,it,iyr it=0 Do ilon=1,Nlon Do ilat=1,Nlat if (Int(Regs(ilon,ilat))==ireg) then Do iyr=1,Nyrs !-1 it=it+1 X4d(ilon,ilat,1,iyr)=Y_inp(it) ! Obs Anomaly X4d(ilon,ilat,2,iyr)=Yest(it,1) ! Ann Anomaly estimated X4d(ilon,ilat,3,iyr)=X_inp(it,1) ! Model Anomaly X4d(ilon,ilat,4,iyr)=Xhq(it) ! MLR Anomaly Enddo endif Enddo Enddo !print*,"Size of Y_inp(:),X_inp(:,:): ",Size(Y_inp, Dim=1), Size(X_inp, Dim=1), Size(X_inp, Dim=2) !print*,"Convert: Nit=",it; pause End Subroutine Convert_to_lat_lon !-------------------------------------------------------------------------------- Subroutine Store_5th_Arr (ilead,imon) Integer :: imon,imem,ilon,ilat,it,iyr,iob,ifc Real :: xtmp, o1,o2,o3,o4, c1,c2,c3,c4 ! X5d(Nlon,Nlat,Nmon,Nyear,5) - 1) OBS, 2) ANN est, 3) Model out, 4) Cli BC, 5) Mlr ! X4d(Nlon,Nlat,4,Nyrs)) !-1)) ! z=4: 1) Yobs, 2) Yest, 3) Ymodel, 4) Mlr if (yvarn=="pr") then iob=1; ifc=5 elseif (yvarn=="t2") then iob=2; ifc=6 elseif (yvarn=="tx") then iob=3; ifc=7 elseif (yvarn=="tm") then iob=4; ifc=8 endif !Do it=1,3 ! 1) OBS, 2) ANN est, 3) Model out Do iyr=1,Nyear ! imem=1,Nmem Do ilon=1,Nlon Do ilat=1,Nlat if (Int(Regs(ilon,ilat))>0) then !X5d(ilon,ilat,imon,iyr,it)=X4d(ilon,ilat,it,iyr) o1=X4d(ilon,ilat,1,iyr); c1=Clim(ilon,ilat,imon, iob,ilead) o2=X4d(ilon,ilat,2,iyr); c2=Clim(ilon,ilat,imon, iob,ilead) o3=X4d(ilon,ilat,3,iyr); c3=Clim(ilon,ilat,imon, ifc,ilead) o4=X4d(ilon,ilat,4,iyr); c4=Clim(ilon,ilat,imon, iob,ilead) if (o1/=Miss.AND.c1/=Miss) X5d(ilon,ilat,imon,iyr,1) = o1+c1 ! Obs Ano + Obs Clim = Org Obs if (o2/=Miss.AND.c2/=Miss) X5d(ilon,ilat,imon,iyr,2) = o2+c2 ! Ann Ano + Obs Clim = Ann if (o3/=Miss.AND.c3/=Miss) X5d(ilon,ilat,imon,iyr,3) = o3+c3 ! Mod Ano + Mod Clim = Org Mod if (o4/=Miss.AND.c4/=Miss) X5d(ilon,ilat,imon,iyr,5) = o4+c4 ! Mlr Ano + Obs Clim = Mlr <<<<<< Chu y: Gan vao chi so thu 5 if (X5d(ilon,ilat,imon,iyr,2)<0) X5d(ilon,ilat,imon,iyr,2) = 0 ! Monthly rainfall and Temp. must not be negative if (X5d(ilon,ilat,imon,iyr,5)<0) X5d(ilon,ilat,imon,iyr,5) = 0 ! Monthly rainfall and Temp. must not be negative !X5d(ilon,ilat,imon,iyr,1)=X4d(ilon,ilat,1,iyr) + Clim(ilon,ilat,imon, iob,ilead) ! Obs Ano + Obs Clim = Org Obs !X5d(ilon,ilat,imon,iyr,2)=X4d(ilon,ilat,2,iyr) + Clim(ilon,ilat,imon, iob,ilead) ! Ann Ano + Obs Clim = Ann !X5d(ilon,ilat,imon,iyr,3)=X4d(ilon,ilat,3,iyr) + Clim(ilon,ilat,imon, ifc,ilead) ! Mod Ano + Mod Clim = Org Mod ! 4) Cli: Climatological Bias Correction: Clim(Nlon,Nlat,Nmon, Nvar,NLead): if (X4d(ilon,ilat,3,iyr)/=Miss.AND.Bias_Cli(ilon,ilat,ilead,imon)/=Miss) then xtmp=X5d(ilon,ilat,imon,iyr,3) ! Org Mod if (yvarn=="pr") then !X5d(ilon,ilat,imon,iyr,4)=X4d(ilon,ilat,3,iyr)*Bias_Cli(ilon,ilat,ilead,imon) ! For rainfall: BC = Model*BC_Factor X5d(ilon,ilat,imon,iyr,4) = xtmp * Bias_Cli(ilon,ilat,ilead,imon) ! For rainfall: BC = Model*BC_Factor else !X5d(ilon,ilat,imon,iyr,4)=X4d(ilon,ilat,3,iyr)+Bias_Cli(ilon,ilat,ilead,imon) ! For Temp. X1d = Model+Bias = Corrected X5d(ilon,ilat,imon,iyr,4) = xtmp + Bias_Cli(ilon,ilat,ilead,imon) ! For Temp. X1d = Model+Bias = Corrected endif if (X5d(ilon,ilat,imon,iyr,4)<0) X5d(ilon,ilat,imon,iyr,4)=0 ! Monthly rainfall and Temp. must not be negative else X5d(ilon,ilat,imon,iyr,4)=Miss endif endif Enddo Enddo Enddo !Enddo ! 4) Cli: Climatological Bias Correction: Clim(Nlon,Nlat,Nmon, Nvar,NLead) !Do ilon=1,Nlon ! Do ilat=1,Nlat ! if (Int(Regs(ilon,ilat))>0) then ! Do iyr=1,Nyear ! if (X4d(ilon,ilat,3,iyr)/=Miss.AND.Bias_Cli(ilon,ilat,ilead,imon)/=Miss) then ! xtmp=X5d(ilon,ilat,imon,iyr,3) ! Org Mod ! if (yvarn=="pr") then !X5d(ilon,ilat,imon,iyr,4)=X4d(ilon,ilat,3,iyr)*Bias_Cli(ilon,ilat,ilead,imon) ! For rainfall: BC = Model*BC_Factor ! X5d(ilon,ilat,imon,iyr,4) = xtmp * Bias_Cli(ilon,ilat,ilead,imon) ! else !X5d(ilon,ilat,imon,iyr,4)=X4d(ilon,ilat,3,iyr)+Bias_Cli(ilon,ilat,ilead,imon) ! For Temp. X1d = Model+Bias = Corrected ! X5d(ilon,ilat,imon,iyr,4) = xtmp + Bias_Cli(ilon,ilat,ilead,imon) ! endif ! if (X5d(ilon,ilat,imon,iyr,4)<0) X5d(ilon,ilat,imon,iyr,4)=0 ! Monthly rainfall and Temp. must not be negative ! else ! X5d(ilon,ilat,imon,iyr,4)=Miss ! endif ! Enddo ! endif ! Enddo !Enddo End Subroutine Store_5th_Arr !-------------------------------------------------------------------------------- Subroutine Make_Data (yvarn,ireg,imon,ilead) Character (Len=*) :: yvarn Integer :: ireg,imon,imon1,ilead,ipredictand,iprd Integer :: ilon,ilat,it,Npoint,Mx,i,j,Nspl,iyr,icount Real, Allocatable :: X2d(:,:) Npoint = Get_Reg_Points (ireg) Ngrd = Npoint ! So diem luoi trong vung ireg Nsample1=Nyrs*Npoint ! Dung luong mau !print*,"Nsample1,Nyrs=",Nsample1,Nyrs Mx=22 ! So bien doc lap Mvars=Mx if (Allocated(X_inp)) Deallocate (X_inp) if (Allocated(Y_inp)) Deallocate (Y_inp) Allocate (X_inp(Nsample1,Mx),Y_inp(Nsample1)) if (yvarn=="pr") then ipredictand=1; iprd=5 elseif (yvarn=="t2") then ipredictand=2; iprd=6 elseif (yvarn=="tx") then ipredictand=3; iprd=7 elseif (yvarn=="tm") then ipredictand=4; iprd=8 endif i=0 Do ilon=1,Nlon Do ilat=1,Nlat if (Int(Regs(ilon,ilat))==ireg) then Do it=1,Ntime imon1=mod(it,Nmon); if (imon1==0) imon1=Nmon if (imon1==imon) then i=i+1 Y_inp(i) =Dat_All(ilon,ilat,it,ipredictand,ilead) ! Observation X_inp(i,1)=Dat_All(ilon,ilat,it,iprd,ilead) ! Model fcs X_inp(i,2)=Dat_All(ilon,ilat,it,11,ilead) ! olr X_inp(i,3)=Dat_All(ilon,ilat,it,12,ilead) ! q2 X_inp(i,4)=Dat_All(ilon,ilat,it,13,ilead) ! rh2 X_inp(i,5)=Dat_All(ilon,ilat,it,17,ilead) ! w700 if (Dat_All(ilon,ilat,it,15,ilead)/=Miss.AND.Dat_All(ilon,ilat,it,16,ilead)/=Miss) then X_inp(i,6)=Dat_All(ilon,ilat,it,15,ilead)-Dat_All(ilon,ilat,it,16,ilead) ! u200-u850 else X_inp(i,6)=Miss endif ! 4 neighbor gridpoints X_inp(i,7)=Dat_All(ilon-1,ilat,it,iprd,ilead) ! Model fcs X_inp(i,8)=Dat_All(ilon+1,ilat,it,iprd,ilead) ! Model fcs X_inp(i,9)=Dat_All(ilon,ilat-1,it,iprd,ilead) ! Model fcs X_inp(i,10)=Dat_All(ilon,ilat+1,it,iprd,ilead) ! Model fcs X_inp(i,11)=Dat_All(ilon-1,ilat,it,11,ilead) ! olr X_inp(i,12)=Dat_All(ilon+1,ilat,it,11,ilead) ! olr X_inp(i,13)=Dat_All(ilon,ilat-1,it,11,ilead) ! olr X_inp(i,14)=Dat_All(ilon,ilat+1,it,11,ilead) ! olr X_inp(i,15)=Dat_All(ilon-1,ilat,it,17,ilead) ! w700 X_inp(i,16)=Dat_All(ilon+1,ilat,it,17,ilead) ! w700 X_inp(i,17)=Dat_All(ilon,ilat-1,it,17,ilead) ! w700 X_inp(i,18)=Dat_All(ilon,ilat+1,it,17,ilead) ! w700 X_inp(i,19)=Dat_All(ilon-1,ilat,it,12,ilead) ! q2 X_inp(i,20)=Dat_All(ilon+1,ilat,it,12,ilead) ! q2 X_inp(i,21)=Dat_All(ilon,ilat-1,it,12,ilead) ! q2 X_inp(i,22)=Dat_All(ilon,ilat+1,it,12,ilead) ! q2 !if (Dat_All(ilon,ilat,it,9,ilead)/=Miss.AND.Dat_All(ilon,ilat,it,10,ilead)/=Miss) then ! X_inp(i,2)=Dat_All(ilon,ilat,it,9,ilead)-Dat_All(ilon,ilat,it,10,ilead) ! h500-h850 !else ! X_inp(i,2)=Miss !endif !X_inp(i,3)=Dat_All(ilon,ilat,it,11,ilead) ! olr !X_inp(i,4)=Dat_All(ilon,ilat,it,12,ilead) ! q2 !X_inp(i,5)=Dat_All(ilon,ilat,it,13,ilead) ! rh2 !X_inp(i,6)=Dat_All(ilon,ilat,it,14,ilead) ! slp !if (Dat_All(ilon,ilat,it,15,ilead)/=Miss.AND.Dat_All(ilon,ilat,it,16,ilead)/=Miss) then ! X_inp(i,7)=Dat_All(ilon,ilat,it,15,ilead)-Dat_All(ilon,ilat,it,16,ilead) ! u200-u850 !else ! X_inp(i,7)=Miss !endif !X_inp(i,8)=Dat_All(ilon,ilat,it,17,ilead) ! w700 endif Enddo endif Enddo Enddo Nspl=i Nsample1=Nspl if (Allocated(Inputs_X)) Deallocate (Inputs_X) if (Allocated(Outputs_Y)) Deallocate (Outputs_Y) Allocate (Inputs_X(Mx,Nsample1), Outputs_Y(1,Nsample1)) i=0 Do it=1,Nspl i=i+1 Outputs_Y(1,i)=Y_inp(it) Do j=1,Mx Inputs_X(j,i)=X_inp(it,j) Enddo Enddo !print*,"Nsample1,i,Npoint,Nsample1/Npoint=",Nsample1,i,Npoint,Nsample1/Npoint; pause Deallocate (Y_inp,X_inp) Allocate (Y_inp(Nsample1),X_inp(Nsample1,Mx)) Y_inp(1:Nsample1)=Outputs_Y(1,1:Nsample1); Do j=1,Mx X_inp(1:Nsample1,j)=Inputs_X(j,1:Nsample1) Enddo ! ------------------------------------ ! For Regression: Valid_Ar1(X,N,Miss) ! Mhq = Mx+1 ! Tong cac bien Doc lap va 1 bien phu thuoc ! Allocate (X2d(Nsample1,Mhq)) ! icount=0 ! Do i=1,Nsample1 ! if (Y_inp(i)/=Miss.AND.Valid_Ar1(X_inp(i,1:Mx))) then ! icount=icount+1 ! X2d(icount,1)=Y_inp(i); X2d(icount,2:Mhq)=X_inp(i,1:Mx) ! endif ! Enddo ! Nhq = Mhq*icount ! N x M ! if (Allocated (Xorg)) Deallocate (Xorg) ! Allocate (Xorg(Nhq)) ! i=0 ! Do j=1,Mhq ! Do it=1,icount ! Sample size ! i=i+1; Xorg(i)=X2d(it,j) ! Enddo ! Enddo ! Nhq = icount ! Sample size ! Deallocate (X2d) End Subroutine Make_Data !-------------------------------------------------------------------------------- Integer Function Get_Reg_Points (ireg) Integer :: ireg,ilon,ilat,Npoint Npoint=0 Do ilon=1,Nlon Do ilat=1,Nlat if (Regs(ilon,ilat)==ireg) Npoint=Npoint+1 Enddo Enddo Get_Reg_Points = Npoint End Function Get_Reg_Points !-------------------------------------------------------------------------------- Subroutine Calc_Bias_Cli (yvarn) Character (Len=*) :: yvarn !Integer, parameter :: Nt0=348, Nyr=Nt0/Nmon ! 1/1982-12/2010 Integer :: ilon,ilat,imon,imon1,it,ilead,iob,ifc,iyr !Real :: F(Nt0), O(Nt0), Xo(Nyr), Xf(Nyr), MeanO,MeanF Real :: F(Ntime),O(Ntime),Xo(Nyrs),Xf(Nyrs), MeanO,MeanF if (yvarn=="pr") then iob=1; ifc=5 elseif (yvarn=="t2") then iob=2; ifc=6 elseif (yvarn=="tx") then iob=3; ifc=7 elseif (yvarn=="tm") then iob=4; ifc=8 endif if (Allocated(Bias_Cli)) Deallocate (Bias_Cli) Allocate (Bias_Cli(Nlon,Nlat,NLead,Nmon)); Bias_Cli=Miss Do ilon=1,Nlon Do ilat=1,Nlat if (Int(Regs(ilon,ilat))>0) then Do ilead=1,NLead Do imon=1,Nmon MeanO=Clim(ilon,ilat,imon,iob,ilead) MeanF=Clim(ilon,ilat,imon,ifc,ilead) if (MeanO/=Miss.AND.MeanF/=Miss.AND.MeanF/=0.) then if (yvarn=="pr") then ! For rainfall: Del_Cli=MeanO/MeanF Bias_Cli(ilon,ilat,ilead,imon)=MeanO/MeanF ! Model_BC = Del_Cli*Model else Bias_Cli(ilon,ilat,ilead,imon)=MeanO-MeanF ! Model_BC = MeanF + Del_Cli endif endif Enddo Enddo endif Enddo Enddo !Del_Cli(:,:,NLead+1,:)=Del_Cli(:,:,NLead,:) ! Dong lenh nay thua, vi Nlead+1=7 khong can nua. End Subroutine Calc_Bias_Cli !-------------------------------------------------------------------------------- Subroutine Calc_Clim_and_Anomaly ! Calcutale clim and anomaly of all variables Integer :: ilon,ilat,imon,imon1,it,ilead,iob,ifc,iyr,ireg Real :: F(Ntime),O(Ntime),Xo(Nyrs),Xf(Nyrs), Mean, xtmp ! Real, Allocatable :: Dat_All(:,:,:,:,:) ! (Nlon,Nlat,Ntime,Nvar,NLead) - Anomaly data = Original data - Original Clim ! Real, Allocatable :: Dat_Org(:,:,:,:,:) ! (Nlon,Nlat,Ntime,Nvar,NLead) - Original data ! Real, Allocatable :: Clim (:,:,:,:,:) ! (Nlon,Nlat,Nmon,Nvar,NLead) - Original Clim ! Character (Len=4) :: vname(Nvar)=(/"pr_o","t2_o","tx_o","tm_o","pr","t2","tx","tm", & ! "h500","h850","olr","q2","rh2","slp","u200","u850","w700"/) Allocate (Dat_All(Nlon,Nlat,Ntime,Nvar,NLead)) Allocate (Clim (Nlon,Nlat,Nmon, Nvar,NLead)) Dat_All=Miss; Clim=Miss Do ilead=1,NLead Do ivar=1,Nvar Do ilon=1,Nlon Do ilat=1,Nlat ireg=Int(Regs(ilon,ilat)) ! Mean values Do imon=1,Nmon iyr=0 Do it=1,Ntime imon1=mod(it,Nmon); if (imon1==0) imon1=Nmon if (imon1==imon) then iyr=iyr+1; Xf(iyr)=Dat_Org(ilon,ilat,it,ivar,ilead) endif Enddo Mean = Ave(Xf,iyr,Miss) if (ivar<=4) then !.AND.ireg<=0) then ! For Obs data if (ireg>0) then Clim(ilon,ilat,imon,ivar,ilead)=Mean else Clim(ilon,ilat,imon,ivar,ilead)=Miss endif else ! For model data Clim(ilon,ilat,imon,ivar,ilead)=Mean endif Enddo ! Anomaly Do it=1,Ntime imon1=mod(it,Nmon); if (imon1==0) imon1=Nmon Mean = Clim(ilon,ilat,imon1,ivar,ilead) xtmp = Dat_Org(ilon,ilat,it,ivar,ilead) if (ivar<=4) then !.AND.ireg<=0) then ! For Obs data if (ireg>0) then !Dat_All(ilon,ilat,it,ivar,ilead)=Dat_Org(ilon,ilat,it,ivar,ilead)-Mean if (Mean/=Miss.AND.xtmp/=Miss) Dat_All(ilon,ilat,it,ivar,ilead)=xtmp-Mean else Dat_All(ilon,ilat,it,ivar,ilead)=Miss endif else !Dat_All(ilon,ilat,it,ivar,ilead)=Dat_Org(ilon,ilat,it,ivar,ilead)-Mean if (Mean/=Miss.AND.xtmp/=Miss) Dat_All(ilon,ilat,it,ivar,ilead)=xtmp-Mean endif Enddo Enddo Enddo Enddo Enddo End Subroutine Calc_Clim_and_Anomaly !-------------------------------------------------------------------------------- Subroutine Read_all_data (Dir,Model_nm) ! Read all Dat_Org Character (Len=*) :: Dir,Model_nm Character (Len=255) :: Fname Real, Allocatable :: xlon(:),xlat(:),xtime(:) Integer :: ilead,ivar,Nlo,Nla,Nt Do ilead=1,NLead ! lead3_RegCM_01_BL_Test_VN.nc write(Fname,"(A,I1.1,A)") trim(Dir)//"lead",ilead,"_"//trim(Model_nm)//"_01_BL_Test_VN.nc" ! clWRF_VN.nc" Do ivar=1,Nvar Call rd_ncdf_3d (Fname,xlon,xlat,xtime,Nlo,Nla,Nt,X3d,trim(vname(ivar))) if (ilead==1.AND.ivar==1) then Ntime=Nyrs*Nmon ! Ntime=Nt Allocate (Dat_Org(Nlon,Nlat,Ntime,Nvar,NLead)) Dat_Org=Miss endif Dat_Org(:,:,1:Nt,ivar,ilead) = X3d(:,:,1:Nt) Deallocate (xlon,xlat,xtime,X3d) Enddo Enddo End Subroutine Read_all_data !-------------------------------------------------------------------------------- Include "/home/tanpv/Mylibs/Sub_HQTT.f90" !Include "/home/tanpv/Mylibs/Sub_LAD.f90" !Include "/home/tanpv/Mylibs/Sub_LMV.f90" Include "/home/tanpv/Mylibs/Calc_Correlation_Coefficient.f90" ! Correlation (X, Y, N, Corr, Prob, Miss) Include "/home/tanpv/Mylibs/Sub_Verification.f90" ! ME, MAE, RME, RMAE Include "/home/tanpv/Mylibs/sub_wr_ncdf_Tan.F90" Include "/home/tanpv/Mylibs/sub_rd_ncdf_Tan.F90" Include "/home/tanpv/Mylibs/Sub_neural_2023.f90" Include "/home/tanpv/Mylibs/Stdev.f90" Include "/home/tanpv/Mylibs/Ave.f90" Include "/home/tanpv/Mylibs/Function_Valid_Ar1.f90" !-------------------------------------------------------------------------------- END Include "/home/tanpv/Mylibs/Student_Prob.f90" !-------------------------------------------------------------------------------------------