Ignore:
Timestamp:
Nov 30, 2016, 1:28:41 PM (8 years ago)
Author:
Laurent Fairhead
Message:

Merged trunk changes r2664:2719 into testing branch

Location:
LMDZ5/branches/testing
Files:
2 edited

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  • LMDZ5/branches/testing

  • LMDZ5/branches/testing/libf/phylmd/cosp/modis_simulator.F90

    r2435 r2720  
    22!   Author: Robert Pincus, Cooperative Institute for Research in the Environmental Sciences
    33! All rights reserved.
    4 ! $Revision: 88 $, $Date: 2013-11-13 15:08:38 +0100 (mer. 13 nov. 2013) $
     4! $Revision: 88 $, $Date: 2013-11-13 07:08:38 -0700 (Wed, 13 Nov 2013) $
    55! $URL: http://cfmip-obs-sim.googlecode.com/svn/stable/v1.4.0/MODIS_simulator/modis_simulator.F90 $
    66!
    … …  
    7979  real,    parameter :: re_water_min= 4., re_water_max= 30., re_ice_min= 5., re_ice_max= 90.
    8080  integer, parameter :: num_trial_res = 15             ! increase to make the linear pseudo-retrieval of size more accurate
    81   logical, parameter :: use_two_re_iterations = .false. ! do two retrieval iterations?
    82  
     81! DJS2015: Remove unused parameter
     82!  logical, parameter :: use_two_re_iterations = .false. ! do two retrieval iterations?
     83! DJS2015 END 
    8384  !
    8485  ! Precompute near-IR optical params vs size for retrieval scheme
    … …  
    125126    nominalPressureHistogramCenters = (nominalPressureHistogramBoundaries(1, :) + &
    126127                                       nominalPressureHistogramBoundaries(2, :) ) / 2.
     128  ! DJS2015 START: Add bin descriptions for joint-histograms of partice-sizes and optical depth. This is
     129  !                identical to what is done in COSPv.2.0.0 for histogram bin initialization.
     130  integer :: j
     131  integer,parameter :: &
     132       numMODISReffLiqBins = 6, & ! Number of bins for tau/ReffLiq joint-histogram
     133       numMODISReffIceBins = 6    ! Number of bins for tau/ReffICE joint-histogram
     134  real,parameter,dimension(numMODISReffLiqBins+1) :: &
     135       reffLIQ_binBounds = (/0., 8e-6, 1.0e-5, 1.3e-5, 1.5e-5, 2.0e-5, 3.0e-5/)
     136  real,parameter,dimension(numMODISReffIceBins+1) :: &
     137       reffICE_binBounds = (/0., 1.0e-5, 2.0e-5, 3.0e-5, 4.0e-5, 6.0e-5, 9.0e-5/)
     138  real,parameter,dimension(2,numMODISReffIceBins) :: &
     139       reffICE_binEdges = reshape(source=(/reffICE_binBounds(1),((reffICE_binBounds(k),  &
     140                                  l=1,2),k=2,numMODISReffIceBins),reffICE_binBounds(numMODISReffIceBins+1)/),  &
     141                                  shape = (/2,numMODISReffIceBins/))
     142  real,parameter,dimension(2,numMODISReffLiqBins) :: &
     143       reffLIQ_binEdges = reshape(source=(/reffLIQ_binBounds(1),((reffLIQ_binBounds(k),  &
     144                                  l=1,2),k=2,numMODISReffLiqBins),reffLIQ_binBounds(numMODISReffIceBins+1)/),  &
     145                                  shape = (/2,numMODISReffLiqBins/))             
     146  real,parameter,dimension(numMODISReffIceBins) :: &
     147       reffICE_binCenters = (reffICE_binEdges(1,:)+reffICE_binEdges(2,:))/2.
     148  real,parameter,dimension(numMODISReffLiqBins) :: &
     149       reffLIQ_binCenters = (reffLIQ_binEdges(1,:)+reffLIQ_binEdges(2,:))/2.
     150  ! DJS2015 END
     151
    127152  ! ------------------------------
    128153  ! There are two ways to call the MODIS simulator:
    … …  
    384409                               
    385410  end subroutine modis_L2_simulator_oneTau
     411
     412  ! ########################################################################################
     413  subroutine modis_column(nPoints,nSubCols,phase, cloud_top_pressure, optical_thickness, particle_size,      &
     414       Cloud_Fraction_Total_Mean,         Cloud_Fraction_Water_Mean,         Cloud_Fraction_Ice_Mean,        &
     415       Cloud_Fraction_High_Mean,          Cloud_Fraction_Mid_Mean,           Cloud_Fraction_Low_Mean,        &
     416       Optical_Thickness_Total_Mean,      Optical_Thickness_Water_Mean,      Optical_Thickness_Ice_Mean,     &
     417       Optical_Thickness_Total_MeanLog10, Optical_Thickness_Water_MeanLog10, Optical_Thickness_Ice_MeanLog10,&
     418       Cloud_Particle_Size_Water_Mean,    Cloud_Particle_Size_Ice_Mean,      Cloud_Top_Pressure_Total_Mean,  &
     419       Liquid_Water_Path_Mean,            Ice_Water_Path_Mean,                                               &   
     420       Optical_Thickness_vs_Cloud_Top_Pressure,Optical_Thickness_vs_ReffIce,Optical_Thickness_vs_ReffLiq)
     421   
     422    ! INPUTS
     423    integer,intent(in) :: &
     424         nPoints,                           & ! Number of horizontal gridpoints
     425         nSubCols                             ! Number of subcolumns
     426    integer,intent(in), dimension(:,:) ::  &
     427!ds    integer,intent(in), dimension(nPoints, nSubCols) ::  &
     428         phase                             
     429    real,intent(in),dimension(:,:) ::  &
     430!ds    real,intent(in),dimension(nPoints, nSubCols) ::  &
     431         cloud_top_pressure,                &
     432         optical_thickness,                 &
     433         particle_size
     434 
     435    ! OUTPUTS
     436    real,intent(inout),dimension(:)  ::   & !
     437!ds    real,intent(inout),dimension(nPoints)  ::   & !
     438         Cloud_Fraction_Total_Mean,         & !
     439         Cloud_Fraction_Water_Mean,         & !
     440         Cloud_Fraction_Ice_Mean,           & !
     441         Cloud_Fraction_High_Mean,          & !
     442         Cloud_Fraction_Mid_Mean,           & !
     443         Cloud_Fraction_Low_Mean,           & !
     444         Optical_Thickness_Total_Mean,      & !
     445         Optical_Thickness_Water_Mean,      & !
     446         Optical_Thickness_Ice_Mean,        & !
     447         Optical_Thickness_Total_MeanLog10, & !
     448         Optical_Thickness_Water_MeanLog10, & !
     449         Optical_Thickness_Ice_MeanLog10,   & !
     450         Cloud_Particle_Size_Water_Mean,    & !
     451         Cloud_Particle_Size_Ice_Mean,      & !
     452         Cloud_Top_Pressure_Total_Mean,     & !
     453         Liquid_Water_Path_Mean,            & !
     454         Ice_Water_Path_Mean                  !
     455    real,intent(inout),dimension(:,:,:) :: &
     456!ds    real,intent(inout),dimension(nPoints,numTauHistogramBins,numPressureHistogramBins) :: &
     457         Optical_Thickness_vs_Cloud_Top_Pressure
     458    real,intent(inout),dimension(:,:,:) :: &   
     459!ds    real,intent(inout),dimension(nPoints,numTauHistogramBins,numMODISReffIceBins) :: &   
     460         Optical_Thickness_vs_ReffIce
     461    real,intent(inout),dimension(:,:,:) :: &   
     462!ds    real,intent(inout),dimension(nPoints,numTauHistogramBins,numMODISReffLiqBins) :: &   
     463         Optical_Thickness_vs_ReffLiq         
     464
     465    ! LOCAL VARIABLES
     466    real, parameter :: &
     467         LWP_conversion = 2./3. * 1000. ! MKS units 
     468    integer :: i, j
     469    logical, dimension(nPoints,nSubCols) :: &
     470         cloudMask,      &
     471         waterCloudMask, &
     472         iceCloudMask,   &
     473         validRetrievalMask
     474    real,dimension(nPoints,nSubCols) :: &
     475         tauWRK,ctpWRK,reffIceWRK,reffLiqWRK
     476   
     477    ! ########################################################################################
     478    ! Include only those pixels with successful retrievals in the statistics
     479    ! ########################################################################################
     480    validRetrievalMask(1:nPoints,1:nSubCols) = particle_size(1:nPoints,1:nSubCols) > 0.
     481    cloudMask(1:nPoints,1:nSubCols) = phase(1:nPoints,1:nSubCols) /= phaseIsNone .and.       &
     482         validRetrievalMask(1:nPoints,1:nSubCols)
     483    waterCloudMask(1:nPoints,1:nSubCols) = phase(1:nPoints,1:nSubCols) == phaseIsLiquid .and. &
     484         validRetrievalMask(1:nPoints,1:nSubCols)
     485    iceCloudMask(1:nPoints,1:nSubCols)   = phase(1:nPoints,1:nSubCols) == phaseIsIce .and.    &
     486         validRetrievalMask(1:nPoints,1:nSubCols)
     487
     488    ! ########################################################################################
     489    ! Use these as pixel counts at first
     490    ! ########################################################################################
     491    Cloud_Fraction_Total_Mean(1:nPoints) = real(count(cloudMask,      dim = 2))
     492    Cloud_Fraction_Water_Mean(1:nPoints) = real(count(waterCloudMask, dim = 2))
     493    Cloud_Fraction_Ice_Mean(1:nPoints)   = real(count(iceCloudMask,   dim = 2))
     494    Cloud_Fraction_High_Mean(1:nPoints)  = real(count(cloudMask .and. cloud_top_pressure <=          &
     495                                           highCloudPressureLimit, dim = 2))
     496    Cloud_Fraction_Low_Mean(1:nPoints)   = real(count(cloudMask .and. cloud_top_pressure >           &
     497                                           lowCloudPressureLimit,  dim = 2))
     498    Cloud_Fraction_Mid_Mean(1:nPoints)   = Cloud_Fraction_Total_Mean(1:nPoints) - Cloud_Fraction_High_Mean(1:nPoints)&
     499                                           - Cloud_Fraction_Low_Mean(1:nPoints)
     500
     501    ! ########################################################################################
     502    ! Compute mean optical thickness.
     503    ! ########################################################################################
     504    Optical_Thickness_Total_Mean(1:nPoints) = sum(optical_thickness, mask = cloudMask,      dim = 2) / &
     505                                              Cloud_Fraction_Total_Mean(1:nPoints)
     506    Optical_Thickness_Water_Mean(1:nPoints) = sum(optical_thickness, mask = waterCloudMask, dim = 2) / &
     507                                              Cloud_Fraction_Water_Mean(1:nPoints)
     508    Optical_Thickness_Ice_Mean(1:nPoints)   = sum(optical_thickness, mask = iceCloudMask,   dim = 2) / &
     509                                              Cloud_Fraction_Ice_Mean(1:nPoints)
     510       
     511    ! ########################################################################################
     512    ! We take the absolute value of optical thickness here to satisfy compilers that complains
     513    ! when we evaluate the logarithm of a negative number, even though it's not included in
     514    ! the sum.
     515    ! ########################################################################################
     516    Optical_Thickness_Total_MeanLog10(1:nPoints) = sum(log10(abs(optical_thickness)), mask = cloudMask, &
     517         dim = 2) / Cloud_Fraction_Total_Mean(1:nPoints)
     518    Optical_Thickness_Water_MeanLog10(1:nPoints) = sum(log10(abs(optical_thickness)), mask = waterCloudMask,&
     519         dim = 2) / Cloud_Fraction_Water_Mean(1:nPoints)
     520    Optical_Thickness_Ice_MeanLog10(1:nPoints) = sum(log10(abs(optical_thickness)), mask = iceCloudMask,&
     521         dim = 2) / Cloud_Fraction_Ice_Mean(1:nPoints)
     522    Cloud_Particle_Size_Water_Mean(1:nPoints) = sum(particle_size, mask = waterCloudMask, dim = 2) / &
     523         Cloud_Fraction_Water_Mean(1:nPoints)
     524    Cloud_Particle_Size_Ice_Mean(1:nPoints) = sum(particle_size, mask = iceCloudMask,   dim = 2) / &
     525         Cloud_Fraction_Ice_Mean(1:nPoints)
     526    Cloud_Top_Pressure_Total_Mean(1:nPoints) = sum(cloud_top_pressure, mask = cloudMask, dim = 2) / &
     527         max(1, count(cloudMask, dim = 2))
     528    Liquid_Water_Path_Mean(1:nPoints) = LWP_conversion*sum(particle_size*optical_thickness, &
     529         mask=waterCloudMask,dim=2)/Cloud_Fraction_Water_Mean(1:nPoints)
     530    Ice_Water_Path_Mean(1:nPoints) = LWP_conversion * ice_density*sum(particle_size*optical_thickness,&
     531         mask=iceCloudMask,dim = 2) /Cloud_Fraction_Ice_Mean(1:nPoints)
     532
     533    ! ########################################################################################
     534    ! Normalize pixel counts to fraction. The first three cloud fractions have been set to -1
     535    ! in cloud-free areas, so set those places to 0.
     536    ! ########################################################################################
     537    Cloud_Fraction_High_Mean(1:nPoints)  = Cloud_Fraction_High_Mean(1:nPoints) /nSubcols
     538    Cloud_Fraction_Mid_Mean(1:nPoints)   = Cloud_Fraction_Mid_Mean(1:nPoints)  /nSubcols
     539    Cloud_Fraction_Low_Mean(1:nPoints)   = Cloud_Fraction_Low_Mean(1:nPoints)  /nSubcols
     540
     541    ! ########################################################################################
     542    ! Set clear-scenes to undefined
     543    ! ########################################################################################
     544    where (Cloud_Fraction_Total_Mean == 0)
     545       Optical_Thickness_Total_Mean      = R_UNDEF
     546       Optical_Thickness_Total_MeanLog10 = R_UNDEF
     547       Cloud_Top_Pressure_Total_Mean     = R_UNDEF
     548    endwhere
     549    where (Cloud_Fraction_Water_Mean == 0)
     550       Optical_Thickness_Water_Mean      = R_UNDEF
     551       Optical_Thickness_Water_MeanLog10 = R_UNDEF
     552       Cloud_Particle_Size_Water_Mean    = R_UNDEF
     553       Liquid_Water_Path_Mean            = R_UNDEF
     554    endwhere
     555    where (Cloud_Fraction_Ice_Mean == 0)
     556       Optical_Thickness_Ice_Mean        = R_UNDEF
     557       Optical_Thickness_Ice_MeanLog10   = R_UNDEF
     558       Cloud_Particle_Size_Ice_Mean      = R_UNDEF
     559       Ice_Water_Path_Mean               = R_UNDEF
     560    endwhere
     561    where (Cloud_Fraction_High_Mean == 0)  Cloud_Fraction_High_Mean = R_UNDEF
     562    where (Cloud_Fraction_Mid_Mean == 0)   Cloud_Fraction_Mid_Mean = R_UNDEF
     563    where (Cloud_Fraction_Low_Mean == 0)   Cloud_Fraction_Low_Mean = R_UNDEF
     564
     565    ! ########################################################################################
     566    ! Joint histogram 
     567    ! ########################################################################################
     568
     569    ! Loop over all points
     570    tauWRK(1:nPoints,1:nSubCols)     = optical_thickness(1:nPoints,1:nSubCols)
     571    ctpWRK(1:nPoints,1:nSubCols)     = cloud_top_pressure(1:nPoints,1:nSubCols)
     572    reffIceWRK(1:nPoints,1:nSubCols) = merge(particle_size,R_UNDEF,iceCloudMask)
     573    reffLiqWRK(1:nPoints,1:nSubCols) = merge(particle_size,R_UNDEF,waterCloudMask)
     574    do j=1,nPoints
     575
     576       ! Fill clear and optically thin subcolumns with fill
     577       where(.not. cloudMask(j,1:nSubCols))
     578          tauWRK(j,1:nSubCols) = -999.
     579          ctpWRK(j,1:nSubCols) = -999.
     580       endwhere
     581       ! Joint histogram of tau/CTP
     582       call hist2D(tauWRK(j,1:nSubCols),ctpWRK(j,1:nSubCols),nSubCols,&
     583                   tauHistogramBoundaries,numTauHistogramBins,&
     584                   pressureHistogramBoundaries,numPressureHistogramBins,&
     585                   Optical_Thickness_vs_Cloud_Top_Pressure(j,1:numTauHistogramBins,1:numPressureHistogramBins))
     586       ! Joint histogram of tau/ReffICE
     587       call hist2D(tauWRK(j,1:nSubCols),reffIceWrk(j,1:nSubCols),nSubCols,               &
     588                   tauHistogramBoundaries,numTauHistogramBins,reffICE_binBounds,         &
     589                   numMODISReffIceBins, Optical_Thickness_vs_ReffIce(j,1:numTauHistogramBins,1:numMODISReffIceBins))
     590       ! Joint histogram of tau/ReffLIQ
     591       call hist2D(tauWRK(j,1:nSubCols),reffLiqWrk(j,1:nSubCols),nSubCols,               &
     592                   tauHistogramBoundaries,numTauHistogramBins,reffLIQ_binBounds,         &
     593                   numMODISReffLiqBins, Optical_Thickness_vs_ReffLiq(j,1:numTauHistogramBins,1:numMODISReffLiqBins))                   
     594
     595    enddo   
     596    Optical_Thickness_vs_Cloud_Top_Pressure(1:nPoints,1:numTauHistogramBins,1:numPressureHistogramBins) = &
     597         Optical_Thickness_vs_Cloud_Top_Pressure(1:nPoints,1:numTauHistogramBins,1:numPressureHistogramBins)/nSubCols
     598    Optical_Thickness_vs_ReffIce(1:nPoints,1:numTauHistogramBins,1:numMODISReffIceBins) = &
     599         Optical_Thickness_vs_ReffIce(1:nPoints,1:numTauHistogramBins,1:numMODISReffIceBins)/nSubCols
     600    Optical_Thickness_vs_ReffLiq(1:nPoints,1:numTauHistogramBins,1:numMODISReffLiqBins) = &
     601         Optical_Thickness_vs_ReffLiq(1:nPoints,1:numTauHistogramBins,1:numMODISReffLiqBins)/nSubCols
     602
     603  end subroutine modis_column
     604  ! ######################################################################################
     605  ! SUBROUTINE hist2D
     606  ! ######################################################################################
     607  subroutine hist2D(var1,var2,npts,bin1,nbin1,bin2,nbin2,jointHist)
     608    implicit none
     609   
     610    ! INPUTS
     611    integer, intent(in) :: &
     612         npts,  & ! Number of data points to be sorted
     613         nbin1, & ! Number of bins in histogram direction 1
     614         nbin2    ! Number of bins in histogram direction 2
     615    real,intent(in),dimension(npts) :: &
     616         var1,  & ! Variable 1 to be sorted into bins
     617         var2     ! variable 2 to be sorted into bins
     618    real,intent(in),dimension(nbin1+1) :: &
     619         bin1     ! Histogram bin 1 boundaries
     620    real,intent(in),dimension(nbin2+1) :: &
     621         bin2     ! Histogram bin 2 boundaries
     622    ! OUTPUTS
     623    real,intent(out),dimension(nbin1,nbin2) :: &
     624         jointHist
     625   
     626    ! LOCAL VARIABLES
     627    integer :: ij,ik
     628   
     629    do ij=2,nbin1+1
     630       do ik=2,nbin2+1
     631          jointHist(ij-1,ik-1)=count(var1 .ge. bin1(ij-1) .and. var1 .lt. bin1(ij) .and. &
     632               var2 .ge. bin2(ik-1) .and. var2 .lt. bin2(ik))       
     633       enddo
     634    enddo
     635  end subroutine hist2D
     636 
    386637  !------------------------------------------------------------------------------------------------
    387638  subroutine modis_L3_simulator(phase, cloud_top_pressure, optical_thickness, particle_size,            &
    … …  
    666917      ! If first retrieval works, can try 2nd iteration using greater re resolution
    667918      !
    668       if(use_two_re_iterations .and. retrieve_re > 0.) then
    669         re_min = retrieve_re - delta_re
    670         re_max = retrieve_re + delta_re
    671         delta_re = (re_max - re_min)/real(num_trial_res-1)
    672  
    673         trial_re(:) = re_min + delta_re * (/ (i - 1, i = 1, num_trial_res) /)
    674         g(:)  = get_g_nir(  phase, trial_re(:))
    675         w0(:) = get_ssa_nir(phase, trial_re(:))
    676         predicted_Refl_nir(:) = two_stream_reflectance(tau, g(:), w0(:))
    677         retrieve_re = interpolate_to_min(trial_re(:), predicted_Refl_nir(:), obs_Refl_nir)
    678       end if
     919! DJS2015: Remove unused piece of code     
     920!      if(use_two_re_iterations .and. retrieve_re > 0.) then
     921!        re_min = retrieve_re - delta_re
     922!        re_max = retrieve_re + delta_re
     923!        delta_re = (re_max - re_min)/real(num_trial_res-1)
     924! 
     925!        trial_re(:) = re_min + delta_re * (/ (i - 1, i = 1, num_trial_res) /)
     926!        g(:)  = get_g_nir(  phase, trial_re(:))
     927!        w0(:) = get_ssa_nir(phase, trial_re(:))
     928!        predicted_Refl_nir(:) = two_stream_reflectance(tau, g(:), w0(:))
     929!        retrieve_re = interpolate_to_min(trial_re(:), predicted_Refl_nir(:), obs_Refl_nir)
     930!      end if
     931! DJS2015 END
    679932    else
    680933      retrieve_re = re_fill
    … …  
    739992    real,    intent(in) :: re
    740993    real :: get_g_nir
    741    
    742     real, dimension(3), parameter :: ice_coefficients   = (/ 0.7432,  4.5563e-3, -2.8697e-5 /), &
    743                                small_water_coefficients = (/ 0.8027, -1.0496e-2,  1.7071e-3 /), &
    744                                  big_water_coefficients = (/ 0.7931,  5.3087e-3, -7.4995e-5 /)
    745    
    746     ! approx. fits from MODIS Collection 5 LUT scattering calculations
    747     if(phase == phaseIsLiquid) then
    748       if(re < 8.) then
    749         get_g_nir = fit_to_quadratic(re, small_water_coefficients)
    750         if(re < re_water_min) get_g_nir = fit_to_quadratic(re_water_min, small_water_coefficients)
    751       else
    752         get_g_nir = fit_to_quadratic(re,  big_water_coefficients)
    753         if(re > re_water_max) get_g_nir = fit_to_quadratic(re_water_max, big_water_coefficients)
    754       end if
     994
     995    real, dimension(3), parameter :: ice_coefficients         = (/ 0.7490, 6.5153e-3, -5.4136e-5 /), &
     996                                     small_water_coefficients = (/ 1.0364, -8.8800e-2, 7.0000e-3 /)
     997    real, dimension(4), parameter :: big_water_coefficients   = (/ 0.6035, 2.8993e-2, -1.1051e-3, 1.5134e-5 /)
     998
     999    ! approx. fits from MODIS Collection 6 LUT scattering calculations for 3.7 µm channel size retrievals
     1000    if(phase == phaseIsLiquid) then 
     1001       if(re < 7.) then
     1002          get_g_nir = fit_to_quadratic(re, small_water_coefficients)
     1003          if(re < re_water_min) get_g_nir = fit_to_quadratic(re_water_min, small_water_coefficients)
     1004       else
     1005          get_g_nir = fit_to_cubic(re, big_water_coefficients)
     1006          if(re > re_water_max) get_g_nir = fit_to_cubic(re_water_max, big_water_coefficients)
     1007       end if
    7551008    else
    756       get_g_nir = fit_to_quadratic(re, ice_coefficients)
     1009       get_g_nir = fit_to_quadratic(re, ice_coefficients)
    7571010      if(re < re_ice_min) get_g_nir = fit_to_quadratic(re_ice_min, ice_coefficients)
    7581011      if(re > re_ice_max) get_g_nir = fit_to_quadratic(re_ice_max, ice_coefficients)
    … …  
    7711024        ! Fits from Steve Platnick
    7721025        !
     1026        real, dimension(4), parameter :: ice_coefficients   = (/ 0.9625, -1.8069e-2, 3.3281e-4,-2.2865e-6/)
     1027        real, dimension(3), parameter :: water_coefficients = (/ 1.0044, -1.1397e-2, 1.3300e-4 /)
    7731028       
    774         real, dimension(4), parameter :: ice_coefficients   = (/ 0.9994, -4.5199e-3, 3.9370e-5, -1.5235e-7 /)
    775         real, dimension(3), parameter :: water_coefficients = (/ 1.0008, -2.5626e-3, 1.6024e-5 /)
    776        
    777         ! approx. fits from MODIS Collection 5 LUT scattering calculations
     1029        ! approx. fits from MODIS Collection 6 LUT scattering calculations
    7781030        if(phase == phaseIsLiquid) then
    7791031          get_ssa_nir = fit_to_quadratic(re, water_coefficients)
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