| [1] | 1 | ! Copyright (c) 2009, Centre National de la Recherche Scientifique |
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| 2 | ! All rights reserved. |
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| 3 | ! |
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| 4 | ! Redistribution and use in source and binary forms, with or without modification, are permitted |
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| 5 | ! provided that the following conditions are met: |
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| 6 | ! |
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| 7 | ! * Redistributions of source code must retain the above copyright notice, this list |
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| 8 | ! of conditions and the following disclaimer. |
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| 9 | ! * Redistributions in binary form must reproduce the above copyright notice, this list |
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| 10 | ! of conditions and the following disclaimer in the documentation and/or other materials |
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| 11 | ! provided with the distribution. |
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| 12 | ! * Neither the name of the LMD/IPSL/CNRS/UPMC nor the names of its |
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| 13 | ! contributors may be used to endorse or promote products derived from this software without |
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| 14 | ! specific prior written permission. |
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| 15 | ! |
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| 16 | ! THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR |
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| 17 | ! IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND |
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| 18 | ! FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR |
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| 19 | ! CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL |
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| 20 | ! DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, |
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| 21 | ! DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER |
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| 22 | ! IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT |
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| 23 | ! OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
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| 24 | |
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| 25 | |
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| 26 | !------------------------------------------------------------------------------------ |
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| 27 | ! Authors: Sandrine Bony and Helene Chepfer (LMD/IPSL, CNRS, UPMC, France). |
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| 28 | !------------------------------------------------------------------------------------ |
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| 29 | MODULE MOD_LMD_IPSL_STATS |
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| 30 | USE MOD_LLNL_STATS |
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| 31 | IMPLICIT NONE |
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| 32 | |
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| 33 | CONTAINS |
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| 34 | SUBROUTINE diag_lidar(npoints,ncol,llm,max_bin,nrefl & |
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| 35 | ,pnorm,pmol,refl,land,pplay,undef,ok_lidar_cfad & |
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| 36 | ,cfad2,srbval & |
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| 37 | ,ncat,lidarcld,cldlayer,parasolrefl) |
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| 38 | ! |
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| 39 | ! ----------------------------------------------------------------------------------- |
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| 40 | ! Lidar outputs : |
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| 41 | ! |
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| 42 | ! Diagnose cloud fraction (3D cloud fraction + low/middle/high/total cloud fraction |
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| 43 | ! from the lidar signals (ATB and molecular ATB) computed from model outputs |
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| 44 | ! + |
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| 45 | ! Compute CFADs of lidar scattering ratio SR and of depolarization index |
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| 46 | ! |
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| 47 | ! Authors: Sandrine Bony and Helene Chepfer (LMD/IPSL, CNRS, UPMC, France). |
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| 48 | ! |
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| 49 | ! December 2008, S. Bony, H. Chepfer and J-L. Dufresne : |
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| 50 | ! - change of the cloud detection threshold S_cld from 3 to 5, for better |
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| 51 | ! with both day and night observations. The optical thinest clouds are missed. |
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| 52 | ! - remove of the detection of the first fully attenuated layer encountered from above. |
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| 53 | ! December 2008, A. Bodas-Salcedo: |
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| 54 | ! - Dimensions of pmol reduced to (npoints,llm) |
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| 55 | ! August 2009, A. Bodas-Salcedo: |
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| 56 | ! - Warning message regarding PARASOL being valid only over ocean deleted. |
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| 57 | ! February 2010, A. Bodas-Salcedo: |
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| 58 | ! - Undef passed into cosp_cfad_sr |
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| 59 | ! June 2010, T. Yokohata, T. Nishimura and K. Ogochi |
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| 60 | ! Optimisation of COSP_CFAD_SR |
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| 61 | ! |
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| 62 | ! Version 1.0 (June 2007) |
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| 63 | ! Version 1.1 (May 2008) |
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| 64 | ! Version 1.2 (June 2008) |
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| 65 | ! Version 2.0 (October 2008) |
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| 66 | ! Version 2.1 (December 2008) |
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| 67 | ! c------------------------------------------------------------------------------------ |
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| 68 | |
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| 69 | ! c inputs : |
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| 70 | integer npoints |
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| 71 | integer ncol |
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| 72 | integer llm |
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| 73 | integer max_bin ! nb of bins for SR CFADs |
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| 74 | integer ncat ! nb of cloud layer types (low,mid,high,total) |
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| 75 | integer nrefl ! nb of solar zenith angles for parasol reflectances |
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| 76 | |
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| 77 | real undef ! undefined value |
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| 78 | real pnorm(npoints,ncol,llm) ! lidar ATB |
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| 79 | real pmol(npoints,llm) ! molecular ATB |
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| 80 | real land(npoints) ! Landmask [0 - Ocean, 1 - Land] |
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| 81 | real pplay(npoints,llm) ! pressure on model levels (Pa) |
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| 82 | logical ok_lidar_cfad ! true if lidar CFAD diagnostics need to be computed |
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| 83 | real refl(npoints,ncol,nrefl) ! subgrid parasol reflectance ! parasol |
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| 84 | |
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| 85 | ! c outputs : |
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| 86 | real lidarcld(npoints,llm) ! 3D "lidar" cloud fraction |
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| 87 | real cldlayer(npoints,ncat) ! "lidar" cloud fraction (low, mid, high, total) |
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| 88 | real cfad2(npoints,max_bin,llm) ! CFADs of SR |
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| 89 | real srbval(max_bin) ! SR bins in CFADs |
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| 90 | real parasolrefl(npoints,nrefl)! grid-averaged parasol reflectance |
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| 91 | |
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| 92 | ! c threshold for cloud detection : |
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| 93 | real S_clr |
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| 94 | parameter (S_clr = 1.2) |
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| 95 | real S_cld |
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| 96 | ! parameter (S_cld = 3.0) ! Previous thresold for cloud detection |
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| 97 | parameter (S_cld = 5.0) ! New (dec 2008) thresold for cloud detection |
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| 98 | real S_att |
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| 99 | parameter (S_att = 0.01) |
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| 100 | |
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| 101 | ! c local variables : |
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| 102 | integer ic,k |
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| 103 | real x3d(npoints,ncol,llm) |
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| 104 | real x3d_c(npoints,llm),pnorm_c(npoints,llm) |
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| 105 | real xmax |
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| 106 | ! |
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| 107 | ! c ------------------------------------------------------- |
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| 108 | ! c 0- Initializations |
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| 109 | ! c ------------------------------------------------------- |
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| 110 | ! |
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| 111 | |
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| 112 | ! Should be modified in future version |
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| 113 | xmax=undef-1.0 |
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| 114 | |
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| 115 | ! c ------------------------------------------------------- |
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| 116 | ! c 1- Lidar scattering ratio : |
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| 117 | ! c ------------------------------------------------------- |
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| 118 | ! |
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| 119 | ! where ((pnorm.lt.xmax) .and. (pmol.lt.xmax) .and. (pmol.gt. 0.0 )) |
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| 120 | ! x3d = pnorm/pmol |
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| 121 | ! elsewhere |
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| 122 | ! x3d = undef |
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| 123 | ! end where |
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| 124 | ! A.B-S: pmol reduced to 2D (npoints,llm) (Dec 08) |
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| 125 | do ic = 1, ncol |
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| 126 | pnorm_c = pnorm(:,ic,:) |
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| 127 | where ((pnorm_c.lt.xmax) .and. (pmol.lt.xmax) .and. (pmol.gt. 0.0 )) |
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| 128 | x3d_c = pnorm_c/pmol |
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| 129 | elsewhere |
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| 130 | x3d_c = undef |
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| 131 | end where |
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| 132 | x3d(:,ic,:) = x3d_c |
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| 133 | enddo |
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| 134 | |
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| 135 | ! c ------------------------------------------------------- |
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| 136 | ! c 2- Diagnose cloud fractions (3D, low, middle, high, total) |
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| 137 | ! c from subgrid-scale lidar scattering ratios : |
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| 138 | ! c ------------------------------------------------------- |
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| 139 | |
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| 140 | CALL COSP_CLDFRAC(npoints,ncol,llm,ncat, & |
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| 141 | x3d,pplay, S_att,S_cld,undef,lidarcld, & |
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| 142 | cldlayer) |
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| 143 | |
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| 144 | ! c ------------------------------------------------------- |
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| 145 | ! c 3- CFADs |
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| 146 | ! c ------------------------------------------------------- |
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| 147 | if (ok_lidar_cfad) then |
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| 148 | ! |
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| 149 | ! c CFADs of subgrid-scale lidar scattering ratios : |
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| 150 | ! c ------------------------------------------------------- |
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| 151 | CALL COSP_CFAD_SR(npoints,ncol,llm,max_bin,undef, & |
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| 152 | x3d, & |
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| 153 | S_att,S_clr,xmax,cfad2,srbval) |
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| 154 | |
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| 155 | endif ! ok_lidar_cfad |
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| 156 | ! c ------------------------------------------------------- |
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| 157 | |
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| 158 | ! c ------------------------------------------------------- |
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| 159 | ! c 4- Compute grid-box averaged Parasol reflectances |
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| 160 | ! c ------------------------------------------------------- |
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| 161 | |
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| 162 | parasolrefl(:,:) = 0.0 |
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| 163 | |
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| 164 | do k = 1, nrefl |
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| 165 | do ic = 1, ncol |
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| 166 | parasolrefl(:,k) = parasolrefl(:,k) + refl(:,ic,k) |
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| 167 | enddo |
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| 168 | enddo |
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| 169 | |
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| 170 | do k = 1, nrefl |
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| 171 | parasolrefl(:,k) = parasolrefl(:,k) / float(ncol) |
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| 172 | ! if land=1 -> parasolrefl=undef |
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| 173 | ! if land=0 -> parasolrefl=parasolrefl |
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| 174 | parasolrefl(:,k) = parasolrefl(:,k) * MAX(1.0-land(:),0.0) & |
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| 175 | + (1.0 - MAX(1.0-land(:),0.0))*undef |
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| 176 | enddo |
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| 177 | |
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| 178 | RETURN |
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| 179 | END SUBROUTINE diag_lidar |
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| 180 | |
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| 181 | |
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| 182 | !%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 183 | !-------------------- FUNCTION COSP_CFAD_SR ------------------------ |
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| 184 | ! Author: Sandrine Bony (LMD/IPSL, CNRS, Paris) |
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| 185 | !%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 186 | SUBROUTINE COSP_CFAD_SR(Npoints,Ncolumns,Nlevels,Nbins,undef, & |
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| 187 | x,S_att,S_clr,xmax,cfad,srbval) |
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| 188 | IMPLICIT NONE |
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| 189 | |
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| 190 | !--- Input arguments |
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| 191 | ! Npoints: Number of horizontal points |
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| 192 | ! Ncolumns: Number of subcolumns |
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| 193 | ! Nlevels: Number of levels |
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| 194 | ! Nbins: Number of x axis bins |
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| 195 | ! xmax: maximum value allowed for x |
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| 196 | ! S_att: Threshold for full attenuation |
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| 197 | ! S_clr: Threshold for clear-sky layer |
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| 198 | ! |
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| 199 | !--- Input-Outout arguments |
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| 200 | ! x: variable to process (Npoints,Ncolumns,Nlevels), mofified where saturation occurs |
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| 201 | ! |
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| 202 | ! -- Output arguments |
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| 203 | ! srbval : values of the histogram bins |
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| 204 | ! cfad: 2D histogram on each horizontal point |
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| 205 | |
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| 206 | ! Input arguments |
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| 207 | integer Npoints,Ncolumns,Nlevels,Nbins |
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| 208 | real xmax,S_att,S_clr,undef |
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| 209 | ! Input-output arguments |
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| 210 | real x(Npoints,Ncolumns,Nlevels) |
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| 211 | ! Output : |
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| 212 | real cfad(Npoints,Nbins,Nlevels) |
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| 213 | real srbval(Nbins) |
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| 214 | ! Local variables |
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| 215 | integer i, j, k, ib |
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| 216 | real srbval_ext(0:Nbins) |
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| 217 | |
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| 218 | ! c ------------------------------------------------------- |
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| 219 | ! c 0- Initializations |
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| 220 | ! c ------------------------------------------------------- |
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| 221 | if ( Nbins .lt. 6) return |
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| 222 | |
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| 223 | srbval(1) = S_att |
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| 224 | srbval(2) = S_clr |
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| 225 | srbval(3) = 3.0 |
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| 226 | srbval(4) = 5.0 |
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| 227 | srbval(5) = 7.0 |
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| 228 | srbval(6) = 10.0 |
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| 229 | do i = 7, MIN(10,Nbins) |
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| 230 | srbval(i) = srbval(i-1) + 5.0 |
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| 231 | enddo |
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| 232 | DO i = 11, MIN(13,Nbins) |
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| 233 | srbval(i) = srbval(i-1) + 10.0 |
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| 234 | enddo |
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| 235 | srbval(MIN(14,Nbins)) = 80.0 |
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| 236 | srbval(Nbins) = xmax |
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| 237 | cfad(:,:,:) = 0.0 |
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| 238 | |
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| 239 | srbval_ext(1:Nbins) = srbval |
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| 240 | srbval_ext(0) = -1.0 |
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| 241 | ! c ------------------------------------------------------- |
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| 242 | ! c c- Compute CFAD |
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| 243 | ! c ------------------------------------------------------- |
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| 244 | |
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| 245 | do j = 1, Nlevels |
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| 246 | do ib = 1, Nbins |
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| 247 | do k = 1, Ncolumns |
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| 248 | do i = 1, Npoints |
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| 249 | if (x(i,k,j) /= undef) then |
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| 250 | if ((x(i,k,j).gt.srbval_ext(ib-1)).and.(x(i,k,j).le.srbval_ext(ib))) & |
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| 251 | cfad(i,ib,j) = cfad(i,ib,j) + 1.0 |
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| 252 | else |
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| 253 | cfad(i,ib,j) = undef |
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| 254 | endif |
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| 255 | enddo |
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| 256 | enddo |
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| 257 | enddo |
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| 258 | enddo |
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| 259 | |
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| 260 | where (cfad .ne. undef) cfad = cfad / float(Ncolumns) |
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| 261 | |
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| 262 | ! c ------------------------------------------------------- |
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| 263 | RETURN |
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| 264 | END SUBROUTINE COSP_CFAD_SR |
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| 265 | |
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| 266 | !%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 267 | !-------------------- SUBROUTINE COSP_CLDFRAC ------------------- |
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| 268 | ! c Purpose: Cloud fraction diagnosed from lidar measurements |
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| 269 | !%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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| 270 | SUBROUTINE COSP_CLDFRAC(Npoints,Ncolumns,Nlevels,Ncat, & |
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| 271 | x,pplay,S_att,S_cld,undef,lidarcld, & |
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| 272 | cldlayer) |
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| 273 | IMPLICIT NONE |
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| 274 | ! Input arguments |
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| 275 | integer Npoints,Ncolumns,Nlevels,Ncat |
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| 276 | real x(Npoints,Ncolumns,Nlevels) |
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| 277 | real pplay(Npoints,Nlevels) |
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| 278 | real S_att,S_cld |
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| 279 | real undef |
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| 280 | ! Output : |
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| 281 | real lidarcld(Npoints,Nlevels) ! 3D cloud fraction |
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| 282 | real cldlayer(Npoints,Ncat) ! low, middle, high, total cloud fractions |
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| 283 | ! Local variables |
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| 284 | integer ip, k, iz, ic |
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| 285 | real p1 |
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| 286 | real cldy(Npoints,Ncolumns,Nlevels) |
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| 287 | real srok(Npoints,Ncolumns,Nlevels) |
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| 288 | real cldlay(Npoints,Ncolumns,Ncat) |
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| 289 | real nsublay(Npoints,Ncolumns,Ncat), nsublayer(Npoints,Ncat) |
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| 290 | real nsub(Npoints,Nlevels) |
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| 291 | |
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| 292 | real cldlay1(Npoints,Ncolumns) |
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| 293 | real cldlay2(Npoints,Ncolumns) |
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| 294 | real cldlay3(Npoints,Ncolumns) |
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| 295 | real nsublay1(Npoints,Ncolumns) |
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| 296 | real nsublay2(Npoints,Ncolumns) |
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| 297 | real nsublay3(Npoints,Ncolumns) |
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| 298 | |
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| 299 | |
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| 300 | ! --------------------------------------------------------------- |
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| 301 | ! 1- initialization |
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| 302 | ! --------------------------------------------------------------- |
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| 303 | |
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| 304 | if ( Ncat .ne. 4 ) then |
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| 305 | print *,'Error in lmd_ipsl_stats.cosp_cldfrac, Ncat must be 4, not',Ncat |
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| 306 | stop |
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| 307 | endif |
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| 308 | |
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| 309 | lidarcld = 0.0 |
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| 310 | nsub = 0.0 |
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| 311 | cldlay = 0.0 |
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| 312 | nsublay = 0.0 |
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| 313 | |
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| 314 | ! --------------------------------------------------------------- |
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| 315 | ! 2- Cloud detection |
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| 316 | ! --------------------------------------------------------------- |
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| 317 | |
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| 318 | do k = 1, Nlevels |
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| 319 | |
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| 320 | ! cloud detection at subgrid-scale: |
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| 321 | where ( (x(:,:,k).gt.S_cld) .and. (x(:,:,k).ne. undef) ) |
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| 322 | cldy(:,:,k)=1.0 |
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| 323 | elsewhere |
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| 324 | cldy(:,:,k)=0.0 |
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| 325 | endwhere |
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| 326 | |
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| 327 | ! number of usefull sub-columns: |
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| 328 | where ( (x(:,:,k).gt.S_att) .and. (x(:,:,k).ne. undef) ) |
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| 329 | srok(:,:,k)=1.0 |
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| 330 | elsewhere |
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| 331 | srok(:,:,k)=0.0 |
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| 332 | endwhere |
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| 333 | |
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| 334 | enddo ! k |
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| 335 | |
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| 336 | ! --------------------------------------------------------------- |
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| 337 | ! 3- grid-box 3D cloud fraction and layered cloud fractions (ISCCP pressure |
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| 338 | ! categories) : |
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| 339 | ! --------------------------------------------------------------- |
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| 340 | lidarcld = 0.0 |
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| 341 | nsub = 0.0 |
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| 342 | |
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| 343 | !! XXX: Use cldlay[1-3] and nsublay[1-3] to avoid bank-conflicts. |
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| 344 | cldlay1 = 0.0 |
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| 345 | cldlay2 = 0.0 |
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| 346 | cldlay3 = 0.0 |
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| 347 | cldlay(:,:,4) = 0.0 !! XXX: Ncat == 4 |
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| 348 | nsublay1 = 0.0 |
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| 349 | nsublay2 = 0.0 |
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| 350 | nsublay3 = 0.0 |
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| 351 | nsublay(:,:,4) = 0.0 |
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| 352 | do k = Nlevels, 1, -1 |
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| 353 | do ic = 1, Ncolumns |
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| 354 | do ip = 1, Npoints |
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| 355 | p1 = pplay(ip,k) |
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| 356 | |
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| 357 | if ( p1.gt.0. .and. p1.lt.(440.*100.)) then ! high clouds |
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| 358 | cldlay3(ip,ic) = MAX(cldlay3(ip,ic), cldy(ip,ic,k)) |
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| 359 | nsublay3(ip,ic) = MAX(nsublay3(ip,ic), srok(ip,ic,k)) |
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| 360 | else if(p1.ge.(440.*100.) .and. p1.lt.(680.*100.)) then ! mid clouds |
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| 361 | cldlay2(ip,ic) = MAX(cldlay2(ip,ic), cldy(ip,ic,k)) |
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| 362 | nsublay2(ip,ic) = MAX(nsublay2(ip,ic), srok(ip,ic,k)) |
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| 363 | else |
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| 364 | cldlay1(ip,ic) = MAX(cldlay1(ip,ic), cldy(ip,ic,k)) |
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| 365 | nsublay1(ip,ic) = MAX(nsublay1(ip,ic), srok(ip,ic,k)) |
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| 366 | endif |
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| 367 | |
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| 368 | cldlay(ip,ic,4) = MAX(cldlay(ip,ic,4), cldy(ip,ic,k)) |
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| 369 | lidarcld(ip,k)=lidarcld(ip,k) + cldy(ip,ic,k) |
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| 370 | nsublay(ip,ic,4) = MAX(nsublay(ip,ic,4),srok(ip,ic,k)) |
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| 371 | nsub(ip,k)=nsub(ip,k) + srok(ip,ic,k) |
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| 372 | enddo |
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| 373 | enddo |
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| 374 | enddo |
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| 375 | cldlay(:,:,1) = cldlay1 |
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| 376 | cldlay(:,:,2) = cldlay2 |
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| 377 | cldlay(:,:,3) = cldlay3 |
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| 378 | nsublay(:,:,1) = nsublay1 |
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| 379 | nsublay(:,:,2) = nsublay2 |
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| 380 | nsublay(:,:,3) = nsublay3 |
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| 381 | |
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| 382 | ! -- grid-box 3D cloud fraction |
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| 383 | |
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| 384 | where ( nsub(:,:).gt.0.0 ) |
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| 385 | lidarcld(:,:) = lidarcld(:,:)/nsub(:,:) |
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| 386 | elsewhere |
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| 387 | lidarcld(:,:) = undef |
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| 388 | endwhere |
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| 389 | |
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| 390 | ! -- layered cloud fractions |
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| 391 | |
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| 392 | cldlayer = 0.0 |
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| 393 | nsublayer = 0.0 |
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| 394 | |
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| 395 | do iz = 1, Ncat |
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| 396 | do ic = 1, Ncolumns |
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| 397 | |
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| 398 | cldlayer(:,iz)=cldlayer(:,iz) + cldlay(:,ic,iz) |
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| 399 | nsublayer(:,iz)=nsublayer(:,iz) + nsublay(:,ic,iz) |
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| 400 | |
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| 401 | enddo |
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| 402 | enddo |
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| 403 | where ( nsublayer(:,:).gt.0.0 ) |
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| 404 | cldlayer(:,:) = cldlayer(:,:)/nsublayer(:,:) |
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| 405 | elsewhere |
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| 406 | cldlayer(:,:) = undef |
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| 407 | endwhere |
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| 408 | |
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| 409 | RETURN |
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| 410 | END SUBROUTINE COSP_CLDFRAC |
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| 411 | ! --------------------------------------------------------------- |
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| 412 | |
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| 413 | END MODULE MOD_LMD_IPSL_STATS |
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