[1682] | 1 | !> @file lpm_droplet_collision.f90 |
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[2000] | 2 | !------------------------------------------------------------------------------! |
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[1036] | 3 | ! This file is part of PALM. |
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| 4 | ! |
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[2000] | 5 | ! PALM is free software: you can redistribute it and/or modify it under the |
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| 6 | ! terms of the GNU General Public License as published by the Free Software |
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| 7 | ! Foundation, either version 3 of the License, or (at your option) any later |
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| 8 | ! version. |
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[1036] | 9 | ! |
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| 10 | ! PALM is distributed in the hope that it will be useful, but WITHOUT ANY |
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| 11 | ! WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR |
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| 12 | ! A PARTICULAR PURPOSE. See the GNU General Public License for more details. |
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| 13 | ! |
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| 14 | ! You should have received a copy of the GNU General Public License along with |
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| 15 | ! PALM. If not, see <http://www.gnu.org/licenses/>. |
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| 16 | ! |
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[2101] | 17 | ! Copyright 1997-2017 Leibniz Universitaet Hannover |
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[2000] | 18 | !------------------------------------------------------------------------------! |
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[1036] | 19 | ! |
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[849] | 20 | ! Current revisions: |
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| 21 | ! ------------------ |
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[2122] | 22 | ! |
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[2123] | 23 | ! |
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[1321] | 24 | ! Former revisions: |
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| 25 | ! ----------------- |
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| 26 | ! $Id: lpm_droplet_collision.f90 2123 2017-01-18 12:34:59Z suehring $ |
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| 27 | ! |
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[2123] | 28 | ! 2122 2017-01-18 12:22:54Z hoffmann |
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| 29 | ! Some reformatting of the code. |
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| 30 | ! |
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[2001] | 31 | ! 2000 2016-08-20 18:09:15Z knoop |
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| 32 | ! Forced header and separation lines into 80 columns |
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| 33 | ! |
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[1885] | 34 | ! 1884 2016-04-21 11:11:40Z hoffmann |
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| 35 | ! Conservation of mass should only be checked if collisions took place. |
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| 36 | ! |
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[1861] | 37 | ! 1860 2016-04-13 13:21:28Z hoffmann |
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| 38 | ! Interpolation of dissipation rate adjusted to more reasonable values. |
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| 39 | ! |
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[1823] | 40 | ! 1822 2016-04-07 07:49:42Z hoffmann |
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| 41 | ! Integration of a new collision algortithm based on Shima et al. (2009) and |
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| 42 | ! Soelch and Kaercher (2010) called all_or_nothing. The previous implemented |
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| 43 | ! collision algorithm is called average_impact. Moreover, both algorithms are |
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| 44 | ! now positive definit due to their construction, i.e., no negative weighting |
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| 45 | ! factors should occur. |
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| 46 | ! |
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[1683] | 47 | ! 1682 2015-10-07 23:56:08Z knoop |
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| 48 | ! Code annotations made doxygen readable |
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| 49 | ! |
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[1360] | 50 | ! 1359 2014-04-11 17:15:14Z hoffmann |
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| 51 | ! New particle structure integrated. |
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| 52 | ! Kind definition added to all floating point numbers. |
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| 53 | ! |
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[1323] | 54 | ! 1322 2014-03-20 16:38:49Z raasch |
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| 55 | ! REAL constants defined as wp_kind |
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| 56 | ! |
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[1321] | 57 | ! 1320 2014-03-20 08:40:49Z raasch |
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[1320] | 58 | ! ONLY-attribute added to USE-statements, |
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| 59 | ! kind-parameters added to all INTEGER and REAL declaration statements, |
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| 60 | ! kinds are defined in new module kinds, |
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| 61 | ! revision history before 2012 removed, |
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| 62 | ! comment fields (!:) to be used for variable explanations added to |
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| 63 | ! all variable declaration statements |
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[1072] | 64 | ! |
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[1093] | 65 | ! 1092 2013-02-02 11:24:22Z raasch |
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| 66 | ! unused variables removed |
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| 67 | ! |
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[1072] | 68 | ! 1071 2012-11-29 16:54:55Z franke |
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[1071] | 69 | ! Calculation of Hall and Wang kernel now uses collision-coalescence formulation |
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| 70 | ! proposed by Wang instead of the continuous collection equation (for more |
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| 71 | ! information about new method see PALM documentation) |
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| 72 | ! Bugfix: message identifiers added |
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[849] | 73 | ! |
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[1037] | 74 | ! 1036 2012-10-22 13:43:42Z raasch |
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| 75 | ! code put under GPL (PALM 3.9) |
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| 76 | ! |
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[850] | 77 | ! 849 2012-03-15 10:35:09Z raasch |
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| 78 | ! initial revision (former part of advec_particles) |
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[849] | 79 | ! |
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[850] | 80 | ! |
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[849] | 81 | ! Description: |
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| 82 | ! ------------ |
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[1682] | 83 | !> Calculates change in droplet radius by collision. Droplet collision is |
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| 84 | !> calculated for each grid box seperately. Collision is parameterized by |
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[1822] | 85 | !> using collision kernels. Two different kernels are available: |
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[1682] | 86 | !> Hall kernel: Kernel from Hall (1980, J. Atmos. Sci., 2486-2507), which |
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| 87 | !> considers collision due to pure gravitational effects. |
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| 88 | !> Wang kernel: Beside gravitational effects (treated with the Hall-kernel) also |
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| 89 | !> the effects of turbulence on the collision are considered using |
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| 90 | !> parameterizations of Ayala et al. (2008, New J. Phys., 10, |
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| 91 | !> 075015) and Wang and Grabowski (2009, Atmos. Sci. Lett., 10, |
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| 92 | !> 1-8). This kernel includes three possible effects of turbulence: |
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| 93 | !> the modification of the relative velocity between the droplets, |
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| 94 | !> the effect of preferential concentration, and the enhancement of |
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| 95 | !> collision efficiencies. |
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[849] | 96 | !------------------------------------------------------------------------------! |
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[1682] | 97 | SUBROUTINE lpm_droplet_collision (i,j,k) |
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| 98 | |
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[849] | 99 | |
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[1359] | 100 | |
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[1320] | 101 | USE arrays_3d, & |
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[1822] | 102 | ONLY: diss, ql_v, ql_vp |
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[849] | 103 | |
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[1320] | 104 | USE cloud_parameters, & |
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[1822] | 105 | ONLY: rho_l |
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[1320] | 106 | |
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| 107 | USE constants, & |
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| 108 | ONLY: pi |
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| 109 | |
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| 110 | USE control_parameters, & |
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[1822] | 111 | ONLY: dt_3d, message_string, dz |
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[1320] | 112 | |
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| 113 | USE cpulog, & |
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| 114 | ONLY: cpu_log, log_point_s |
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| 115 | |
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| 116 | USE grid_variables, & |
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[1822] | 117 | ONLY: dx, dy |
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[1320] | 118 | |
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| 119 | USE kinds |
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| 120 | |
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| 121 | USE lpm_collision_kernels_mod, & |
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[1822] | 122 | ONLY: ckernel, recalculate_kernel |
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[1320] | 123 | |
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| 124 | USE particle_attributes, & |
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[1822] | 125 | ONLY: all_or_nothing, average_impact, dissipation_classes, & |
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| 126 | hall_kernel, iran_part, number_of_particles, particles, & |
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| 127 | particle_type, prt_count, use_kernel_tables, wang_kernel |
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[1320] | 128 | |
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[1822] | 129 | USE random_function_mod, & |
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| 130 | ONLY: random_function |
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| 131 | |
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[1359] | 132 | USE pegrid |
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| 133 | |
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[849] | 134 | IMPLICIT NONE |
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| 135 | |
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[1682] | 136 | INTEGER(iwp) :: eclass !< |
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| 137 | INTEGER(iwp) :: i !< |
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| 138 | INTEGER(iwp) :: j !< |
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| 139 | INTEGER(iwp) :: k !< |
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| 140 | INTEGER(iwp) :: n !< |
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[1822] | 141 | INTEGER(iwp) :: m !< |
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[1682] | 142 | INTEGER(iwp) :: rclass_l !< |
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| 143 | INTEGER(iwp) :: rclass_s !< |
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[849] | 144 | |
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[1822] | 145 | REAL(wp) :: collection_probability !< probability for collection |
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| 146 | REAL(wp) :: ddV !< inverse grid box volume |
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| 147 | REAL(wp) :: epsilon !< dissipation rate |
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| 148 | REAL(wp) :: factor_volume_to_mass !< 4.0 / 3.0 * pi * rho_l |
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| 149 | REAL(wp) :: xm !< mean mass of droplet m |
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| 150 | REAL(wp) :: xn !< mean mass of droplet n |
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[1359] | 151 | |
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[1822] | 152 | REAL(wp), DIMENSION(:), ALLOCATABLE :: weight !< weighting factor |
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| 153 | REAL(wp), DIMENSION(:), ALLOCATABLE :: mass !< total mass of super droplet |
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[1359] | 154 | |
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[849] | 155 | CALL cpu_log( log_point_s(43), 'lpm_droplet_coll', 'start' ) |
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| 156 | |
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[1822] | 157 | number_of_particles = prt_count(k,j,i) |
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| 158 | factor_volume_to_mass = 4.0_wp / 3.0_wp * pi * rho_l |
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| 159 | ddV = 1 / ( dx * dy * dz ) |
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[849] | 160 | ! |
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[1822] | 161 | !-- Collision requires at least one super droplet inside the box |
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| 162 | IF ( number_of_particles > 0 ) THEN |
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[849] | 163 | |
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| 164 | ! |
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[1359] | 165 | !-- Now apply the different kernels |
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[1822] | 166 | IF ( use_kernel_tables ) THEN |
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[849] | 167 | ! |
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[1822] | 168 | !-- Fast method with pre-calculated collection kernels for |
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[1359] | 169 | !-- discrete radius- and dissipation-classes. |
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| 170 | !-- |
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| 171 | !-- Determine dissipation class index of this gridbox |
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| 172 | IF ( wang_kernel ) THEN |
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[1860] | 173 | eclass = INT( diss(k,j,i) * 1.0E4_wp / 600.0_wp * & |
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[1359] | 174 | dissipation_classes ) + 1 |
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| 175 | epsilon = diss(k,j,i) |
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| 176 | ELSE |
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| 177 | epsilon = 0.0_wp |
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| 178 | ENDIF |
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| 179 | IF ( hall_kernel .OR. epsilon * 1.0E4_wp < 0.001_wp ) THEN |
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| 180 | eclass = 0 ! Hall kernel is used |
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| 181 | ELSE |
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| 182 | eclass = MIN( dissipation_classes, eclass ) |
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| 183 | ENDIF |
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| 184 | |
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[849] | 185 | ! |
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[1359] | 186 | !-- Droplet collision are calculated using collision-coalescence |
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| 187 | !-- formulation proposed by Wang (see PALM documentation) |
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[1822] | 188 | !-- Temporary fields for total mass of super-droplet and weighting factors |
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| 189 | !-- are allocated. |
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| 190 | ALLOCATE(mass(1:number_of_particles), weight(1:number_of_particles)) |
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[849] | 191 | |
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[1822] | 192 | mass(1:number_of_particles) = particles(1:number_of_particles)%weight_factor * & |
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| 193 | particles(1:number_of_particles)%radius**3 * & |
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| 194 | factor_volume_to_mass |
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| 195 | weight(1:number_of_particles) = particles(1:number_of_particles)%weight_factor |
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[849] | 196 | |
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[1822] | 197 | IF ( average_impact ) THEN ! select collision algorithm |
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[1071] | 198 | |
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[1822] | 199 | DO n = 1, number_of_particles |
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[1071] | 200 | |
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[1822] | 201 | rclass_l = particles(n)%class |
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| 202 | xn = mass(n) / weight(n) |
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[849] | 203 | |
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[1822] | 204 | DO m = n, number_of_particles |
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[849] | 205 | |
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[1822] | 206 | rclass_s = particles(m)%class |
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| 207 | xm = mass(m) / weight(m) |
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[849] | 208 | |
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[1822] | 209 | IF ( xm .LT. xn ) THEN |
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| 210 | |
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| 211 | ! |
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| 212 | !-- Particle n collects smaller particle m |
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| 213 | collection_probability = ckernel(rclass_l,rclass_s,eclass) * & |
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| 214 | weight(n) * ddV * dt_3d |
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[849] | 215 | |
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[1822] | 216 | mass(n) = mass(n) + mass(m) * collection_probability |
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| 217 | weight(m) = weight(m) - weight(m) * collection_probability |
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| 218 | mass(m) = mass(m) - mass(m) * collection_probability |
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| 219 | ELSEIF ( xm .GT. xn ) THEN |
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[849] | 220 | ! |
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[1822] | 221 | !-- Particle m collects smaller particle n |
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| 222 | collection_probability = ckernel(rclass_l,rclass_s,eclass) * & |
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| 223 | weight(m) * ddV * dt_3d |
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[849] | 224 | |
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[1822] | 225 | mass(m) = mass(m) + mass(n) * collection_probability |
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| 226 | weight(n) = weight(n) - weight(n) * collection_probability |
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| 227 | mass(n) = mass(n) - mass(n) * collection_probability |
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| 228 | ELSE |
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[1071] | 229 | ! |
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[1822] | 230 | !-- Same-size collections. If n = m, weight is reduced by the |
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| 231 | !-- number of possible same-size collections; the total mass |
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| 232 | !-- is not changed during same-size collection. |
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| 233 | !-- Same-size collections of different |
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| 234 | !-- particles ( n /= m ) are treated as same-size collections |
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| 235 | !-- of ONE partilce with weight = weight(n) + weight(m) and |
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| 236 | !-- mass = mass(n) + mass(m). |
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| 237 | !-- Accordingly, each particle loses the same number of |
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| 238 | !-- droplets to the other particle, but this has no effect on |
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| 239 | !-- total mass mass, since the exchanged droplets have the |
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| 240 | !-- same radius. |
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[849] | 241 | |
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[1822] | 242 | !-- Note: For m = n this equation is an approximation only |
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| 243 | !-- valid for weight >> 1 (which is usually the case). The |
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| 244 | !-- approximation is weight(n)-1 = weight(n). |
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| 245 | weight(n) = weight(n) - 0.5_wp * weight(n) * & |
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| 246 | ckernel(rclass_l,rclass_s,eclass) * & |
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| 247 | weight(m) * ddV * dt_3d |
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| 248 | IF ( n .NE. m ) THEN |
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| 249 | weight(m) = weight(m) - 0.5_wp * weight(m) * & |
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| 250 | ckernel(rclass_l,rclass_s,eclass) * & |
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| 251 | weight(n) * ddV * dt_3d |
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| 252 | ENDIF |
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| 253 | ENDIF |
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[1071] | 254 | |
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[1822] | 255 | ENDDO |
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[1071] | 256 | |
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[1822] | 257 | ql_vp(k,j,i) = ql_vp(k,j,i) + mass(n) / factor_volume_to_mass |
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| 258 | |
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[1359] | 259 | ENDDO |
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[849] | 260 | |
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[1822] | 261 | ELSEIF ( all_or_nothing ) THEN ! select collision algorithm |
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[849] | 262 | |
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[1822] | 263 | DO n = 1, number_of_particles |
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[849] | 264 | |
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[1822] | 265 | rclass_l = particles(n)%class |
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| 266 | xn = mass(n) / weight(n) ! mean mass of droplet n |
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[849] | 267 | |
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[1822] | 268 | DO m = n, number_of_particles |
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[849] | 269 | |
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[1822] | 270 | rclass_s = particles(m)%class |
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| 271 | xm = mass(m) / weight(m) ! mean mass of droplet m |
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[849] | 272 | |
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[1822] | 273 | IF ( weight(n) .LT. weight(m) ) THEN |
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| 274 | ! |
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| 275 | !-- Particle n collects weight(n) droplets of particle m |
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| 276 | collection_probability = ckernel(rclass_l,rclass_s,eclass) * & |
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| 277 | weight(m) * ddV * dt_3d |
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[1071] | 278 | |
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[1822] | 279 | IF ( collection_probability .GT. random_function( iran_part ) ) THEN |
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| 280 | mass(n) = mass(n) + weight(n) * xm |
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| 281 | weight(m) = weight(m) - weight(n) |
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| 282 | mass(m) = mass(m) - weight(n) * xm |
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| 283 | ENDIF |
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| 284 | |
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| 285 | ELSEIF ( weight(m) .LT. weight(n) ) THEN |
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[849] | 286 | ! |
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[1822] | 287 | !-- Particle m collects weight(m) droplets of particle n |
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| 288 | collection_probability = ckernel(rclass_l,rclass_s,eclass) * & |
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| 289 | weight(n) * ddV * dt_3d |
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| 290 | |
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| 291 | IF ( collection_probability .GT. random_function( iran_part ) ) THEN |
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| 292 | mass(m) = mass(m) + weight(m) * xn |
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| 293 | weight(n) = weight(n) - weight(m) |
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| 294 | mass(n) = mass(n) - weight(m) * xn |
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| 295 | ENDIF |
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| 296 | ELSE |
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[849] | 297 | ! |
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[1822] | 298 | !-- Collisions of particles of the same weighting factor. |
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| 299 | !-- Particle n collects 1/2 weight(n) droplets of particle m, |
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| 300 | !-- particle m collects 1/2 weight(m) droplets of particle n. |
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| 301 | !-- The total mass mass changes accordingly. |
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| 302 | !-- If n = m, the first half of the droplets coalesces with the |
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| 303 | !-- second half of the droplets; mass is unchanged because |
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| 304 | !-- xm = xn for n = m. |
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[849] | 305 | |
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[1822] | 306 | !-- Note: For m = n this equation is an approximation only |
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| 307 | !-- valid for weight >> 1 (which is usually the case). The |
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| 308 | !-- approximation is weight(n)-1 = weight(n). |
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| 309 | collection_probability = ckernel(rclass_l,rclass_s,eclass) * & |
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| 310 | weight(n) * ddV * dt_3d |
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[849] | 311 | |
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[1822] | 312 | IF ( collection_probability .GT. random_function( iran_part ) ) THEN |
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| 313 | mass(n) = mass(n) + 0.5_wp * weight(n) * ( xm - xn ) |
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| 314 | mass(m) = mass(m) + 0.5_wp * weight(m) * ( xn - xm ) |
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| 315 | weight(n) = weight(n) - 0.5_wp * weight(m) |
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| 316 | weight(m) = weight(n) |
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| 317 | ENDIF |
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| 318 | ENDIF |
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[849] | 319 | |
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[1822] | 320 | ENDDO |
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[849] | 321 | |
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[1822] | 322 | ql_vp(k,j,i) = ql_vp(k,j,i) + mass(n) / factor_volume_to_mass |
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[849] | 323 | |
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[1822] | 324 | ENDDO |
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[849] | 325 | |
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[1822] | 326 | ENDIF |
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[849] | 327 | |
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| 328 | |
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| 329 | |
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| 330 | |
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[1822] | 331 | IF ( ANY(weight < 0.0_wp) ) THEN |
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| 332 | WRITE( message_string, * ) 'negative weighting' |
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| 333 | CALL message( 'lpm_droplet_collision', 'PA0028', & |
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| 334 | 2, 2, -1, 6, 1 ) |
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| 335 | ENDIF |
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[849] | 336 | |
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[1822] | 337 | particles(1:number_of_particles)%radius = ( mass(1:number_of_particles) / & |
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| 338 | ( weight(1:number_of_particles) & |
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| 339 | * factor_volume_to_mass & |
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| 340 | ) & |
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| 341 | )**0.33333333333333_wp |
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[849] | 342 | |
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[1822] | 343 | particles(1:number_of_particles)%weight_factor = weight(1:number_of_particles) |
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[849] | 344 | |
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[1822] | 345 | DEALLOCATE(weight, mass) |
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[849] | 346 | |
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[1822] | 347 | ELSEIF ( .NOT. use_kernel_tables ) THEN |
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| 348 | ! |
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| 349 | !-- Collection kernels are calculated for every new |
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| 350 | !-- grid box. First, allocate memory for kernel table. |
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| 351 | !-- Third dimension is 1, because table is re-calculated for |
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| 352 | !-- every new dissipation value. |
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| 353 | ALLOCATE( ckernel(1:number_of_particles,1:number_of_particles,1:1) ) |
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| 354 | ! |
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| 355 | !-- Now calculate collection kernel for this box. Note that |
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| 356 | !-- the kernel is based on the previous time step |
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| 357 | CALL recalculate_kernel( i, j, k ) |
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| 358 | ! |
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| 359 | !-- Droplet collision are calculated using collision-coalescence |
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| 360 | !-- formulation proposed by Wang (see PALM documentation) |
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| 361 | !-- Temporary fields for total mass of super-droplet and weighting factors |
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| 362 | !-- are allocated. |
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| 363 | ALLOCATE(mass(1:number_of_particles), weight(1:number_of_particles)) |
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[849] | 364 | |
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[1822] | 365 | mass(1:number_of_particles) = particles(1:number_of_particles)%weight_factor * & |
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| 366 | particles(1:number_of_particles)%radius**3 * & |
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| 367 | factor_volume_to_mass |
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[849] | 368 | |
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[1822] | 369 | weight(1:number_of_particles) = particles(1:number_of_particles)%weight_factor |
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[849] | 370 | |
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[1822] | 371 | IF ( average_impact ) THEN ! select collision algorithm |
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[849] | 372 | |
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[1822] | 373 | DO n = 1, number_of_particles |
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[849] | 374 | |
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[1822] | 375 | xn = mass(n) / weight(n) ! mean mass of droplet n |
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[849] | 376 | |
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[1822] | 377 | DO m = n, number_of_particles |
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[849] | 378 | |
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[1822] | 379 | xm = mass(m) / weight(m) !mean mass of droplet m |
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[849] | 380 | |
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[1822] | 381 | IF ( xm .LT. xn ) THEN |
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[849] | 382 | ! |
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[1822] | 383 | !-- Particle n collects smaller particle m |
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| 384 | collection_probability = ckernel(n,m,1) * weight(n) * & |
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| 385 | ddV * dt_3d |
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| 386 | |
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| 387 | mass(n) = mass(n) + mass(m) * collection_probability |
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| 388 | weight(m) = weight(m) - weight(m) * collection_probability |
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| 389 | mass(m) = mass(m) - mass(m) * collection_probability |
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| 390 | ELSEIF ( xm .GT. xn ) THEN |
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[849] | 391 | ! |
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[1822] | 392 | !-- Particle m collects smaller particle n |
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| 393 | collection_probability = ckernel(n,m,1) * weight(m) * & |
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| 394 | ddV * dt_3d |
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[849] | 395 | |
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[1822] | 396 | mass(m) = mass(m) + mass(n) * collection_probability |
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| 397 | weight(n) = weight(n) - weight(n) * collection_probability |
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| 398 | mass(n) = mass(n) - mass(n) * collection_probability |
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| 399 | ELSE |
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[849] | 400 | ! |
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[1822] | 401 | !-- Same-size collections. If n = m, weight is reduced by the |
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| 402 | !-- number of possible same-size collections; the total mass |
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| 403 | !-- mass is not changed during same-size collection. |
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| 404 | !-- Same-size collections of different |
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| 405 | !-- particles ( n /= m ) are treated as same-size collections |
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| 406 | !-- of ONE partilce with weight = weight(n) + weight(m) and |
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| 407 | !-- mass = mass(n) + mass(m). |
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| 408 | !-- Accordingly, each particle loses the same number of |
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| 409 | !-- droplets to the other particle, but this has no effect on |
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| 410 | !-- total mass mass, since the exchanged droplets have the |
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| 411 | !-- same radius. |
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| 412 | !-- |
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| 413 | !-- Note: For m = n this equation is an approximation only |
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| 414 | !-- valid for weight >> 1 (which is usually the case). The |
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| 415 | !-- approximation is weight(n)-1 = weight(n). |
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| 416 | weight(n) = weight(n) - 0.5_wp * weight(n) * & |
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| 417 | ckernel(n,m,1) * weight(m) * & |
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| 418 | ddV * dt_3d |
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| 419 | IF ( n .NE. m ) THEN |
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| 420 | weight(m) = weight(m) - 0.5_wp * weight(m) * & |
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| 421 | ckernel(n,m,1) * weight(n) * & |
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| 422 | ddV * dt_3d |
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| 423 | ENDIF |
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| 424 | ENDIF |
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[849] | 425 | |
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| 426 | |
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[1359] | 427 | ENDDO |
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[849] | 428 | |
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[1822] | 429 | ql_vp(k,j,i) = ql_vp(k,j,i) + mass(n) / factor_volume_to_mass |
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[849] | 430 | |
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[1822] | 431 | ENDDO |
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[849] | 432 | |
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[1822] | 433 | ELSEIF ( all_or_nothing ) THEN ! select collision algorithm |
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[849] | 434 | |
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[1822] | 435 | DO n = 1, number_of_particles |
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[849] | 436 | |
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[1822] | 437 | xn = mass(n) / weight(n) ! mean mass of droplet n |
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[849] | 438 | |
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[1822] | 439 | DO m = n, number_of_particles |
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[849] | 440 | |
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[1822] | 441 | xm = mass(m) / weight(m) !mean mass of droplet m |
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[849] | 442 | |
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[1822] | 443 | IF ( weight(n) .LT. weight(m) ) THEN |
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| 444 | ! |
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| 445 | !-- Particle n collects smaller particle m |
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| 446 | collection_probability = ckernel(n,m,1) * weight(m) * & |
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| 447 | ddV * dt_3d |
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[1071] | 448 | |
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[1822] | 449 | IF ( collection_probability .GT. random_function( iran_part ) ) THEN |
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[2122] | 450 | mass(n) = mass(n) + weight(n) * xm |
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| 451 | weight(m) = weight(m) - weight(n) |
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| 452 | mass(m) = mass(m) - weight(n) * xm |
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[1822] | 453 | ENDIF |
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[1359] | 454 | |
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[1822] | 455 | ELSEIF ( weight(m) .LT. weight(n) ) THEN |
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[1071] | 456 | ! |
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[1822] | 457 | !-- Particle m collects smaller particle n |
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| 458 | collection_probability = ckernel(n,m,1) * weight(n) * & |
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| 459 | ddV * dt_3d |
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[1071] | 460 | |
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[1822] | 461 | IF ( collection_probability .GT. random_function( iran_part ) ) THEN |
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[2122] | 462 | mass(m) = mass(m) + weight(m) * xn |
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| 463 | weight(n) = weight(n) - weight(m) |
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| 464 | mass(n) = mass(n) - weight(m) * xn |
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[1822] | 465 | ENDIF |
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| 466 | ELSE |
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| 467 | ! |
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| 468 | !-- Collisions of particles of the same weighting factor. |
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| 469 | !-- Particle n collects 1/2 weight(n) droplets of particle m, |
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| 470 | !-- particle m collects 1/2 weight(m) droplets of particle n. |
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| 471 | !-- The total mass mass changes accordingly. |
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| 472 | !-- If n = m, the first half of the droplets coalesces with the |
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| 473 | !-- second half of the droplets; mass is unchanged because |
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| 474 | !-- xm = xn for n = m. |
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| 475 | !-- |
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| 476 | !-- Note: For m = n this equation is an approximation only |
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| 477 | !-- valid for weight >> 1 (which is usually the case). The |
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| 478 | !-- approximation is weight(n)-1 = weight(n). |
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| 479 | collection_probability = ckernel(n,m,1) * weight(n) * & |
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| 480 | ddV * dt_3d |
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[1071] | 481 | |
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[1822] | 482 | IF ( collection_probability .GT. random_function( iran_part ) ) THEN |
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| 483 | mass(n) = mass(n) + 0.5_wp * weight(n) * ( xm - xn ) |
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| 484 | mass(m) = mass(m) + 0.5_wp * weight(m) * ( xn - xm ) |
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| 485 | weight(n) = weight(n) - 0.5_wp * weight(m) |
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| 486 | weight(m) = weight(n) |
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| 487 | ENDIF |
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| 488 | ENDIF |
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[1071] | 489 | |
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| 490 | |
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[1822] | 491 | ENDDO |
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[1071] | 492 | |
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[1822] | 493 | ql_vp(k,j,i) = ql_vp(k,j,i) + mass(n) / factor_volume_to_mass |
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[1071] | 494 | |
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[1822] | 495 | ENDDO |
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[1071] | 496 | |
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[1822] | 497 | ENDIF |
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[1071] | 498 | |
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[1822] | 499 | IF ( ANY(weight < 0.0_wp) ) THEN |
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| 500 | WRITE( message_string, * ) 'negative weighting' |
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| 501 | CALL message( 'lpm_droplet_collision', 'PA0028', & |
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| 502 | 2, 2, -1, 6, 1 ) |
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| 503 | ENDIF |
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| 504 | |
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| 505 | particles(1:number_of_particles)%radius = ( mass(1:number_of_particles) / & |
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| 506 | ( weight(1:number_of_particles) & |
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| 507 | * factor_volume_to_mass & |
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| 508 | ) & |
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| 509 | )**0.33333333333333_wp |
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| 510 | |
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| 511 | particles(1:number_of_particles)%weight_factor = weight(1:number_of_particles) |
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| 512 | |
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| 513 | DEALLOCATE( weight, mass, ckernel ) |
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| 514 | |
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| 515 | ENDIF |
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| 516 | |
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[849] | 517 | ! |
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[1884] | 518 | !-- Check if LWC is conserved during collision process |
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| 519 | IF ( ql_v(k,j,i) /= 0.0_wp ) THEN |
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| 520 | IF ( ql_vp(k,j,i) / ql_v(k,j,i) >= 1.0001_wp .OR. & |
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| 521 | ql_vp(k,j,i) / ql_v(k,j,i) <= 0.9999_wp ) THEN |
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| 522 | WRITE( message_string, * ) ' LWC is not conserved during', & |
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| 523 | ' collision! ', & |
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| 524 | ' LWC after condensation: ', ql_v(k,j,i), & |
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| 525 | ' LWC after collision: ', ql_vp(k,j,i) |
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| 526 | CALL message( 'lpm_droplet_collision', 'PA0040', 2, 2, -1, 6, 1 ) |
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| 527 | ENDIF |
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[1359] | 528 | ENDIF |
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[1884] | 529 | |
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[1359] | 530 | ENDIF |
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[1884] | 531 | |
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[849] | 532 | CALL cpu_log( log_point_s(43), 'lpm_droplet_coll', 'stop' ) |
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| 533 | |
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[1359] | 534 | END SUBROUTINE lpm_droplet_collision |
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