Home

Context Navigation

source: palm/trunk/SOURCE/lpm_droplet_collision.f90 @ 2282

Last change on this file since 2282 was 2274, checked in by Giersch, 7 years ago
Changed error messages
Property svn:keywords set to `Id`
File size: 23.0 KB

Rev	Line
[1682]	1	!> @file lpm_droplet_collision.f90
[2000]	2	!------------------------------------------------------------------------------!
[1036]	3	! This file is part of PALM.
	4	!
[2000]	5	! PALM is free software: you can redistribute it and/or modify it under the
	6	! terms of the GNU General Public License as published by the Free Software
	7	! Foundation, either version 3 of the License, or (at your option) any later
	8	! version.
[1036]	9	!
	10	! PALM is distributed in the hope that it will be useful, but WITHOUT ANY
	11	! WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
	12	! A PARTICULAR PURPOSE. See the GNU General Public License for more details.
	13	!
	14	! You should have received a copy of the GNU General Public License along with
	15	! PALM. If not, see <http://www.gnu.org/licenses/>.
	16	!
[2101]	17	! Copyright 1997-2017 Leibniz Universitaet Hannover
[2000]	18	!------------------------------------------------------------------------------!
[1036]	19	!
[849]	20	! Current revisions:
	21	! ------------------
[2274]	22	!
	23	!
[1321]	24	! Former revisions:
	25	! -----------------
	26	! $Id: lpm_droplet_collision.f90 2274 2017-06-09 13:27:48Z schwenkel $
[2274]	27	! Changed error messages
[1321]	28	!
[2274]	29	! 2123 2017-01-18 12:34:59Z hoffmann
	30	!
[2123]	31	! 2122 2017-01-18 12:22:54Z hoffmann
	32	! Some reformatting of the code.
	33	!
[2001]	34	! 2000 2016-08-20 18:09:15Z knoop
	35	! Forced header and separation lines into 80 columns
	36	!
[1885]	37	! 1884 2016-04-21 11:11:40Z hoffmann
	38	! Conservation of mass should only be checked if collisions took place.
	39	!
[1861]	40	! 1860 2016-04-13 13:21:28Z hoffmann
	41	! Interpolation of dissipation rate adjusted to more reasonable values.
	42	!
[1823]	43	! 1822 2016-04-07 07:49:42Z hoffmann
	44	! Integration of a new collision algortithm based on Shima et al. (2009) and
	45	! Soelch and Kaercher (2010) called all_or_nothing. The previous implemented
	46	! collision algorithm is called average_impact. Moreover, both algorithms are
	47	! now positive definit due to their construction, i.e., no negative weighting
	48	! factors should occur.
	49	!
[1683]	50	! 1682 2015-10-07 23:56:08Z knoop
	51	! Code annotations made doxygen readable
	52	!
[1360]	53	! 1359 2014-04-11 17:15:14Z hoffmann
	54	! New particle structure integrated.
	55	! Kind definition added to all floating point numbers.
	56	!
[1323]	57	! 1322 2014-03-20 16:38:49Z raasch
	58	! REAL constants defined as wp_kind
	59	!
[1321]	60	! 1320 2014-03-20 08:40:49Z raasch
[1320]	61	! ONLY-attribute added to USE-statements,
	62	! kind-parameters added to all INTEGER and REAL declaration statements,
	63	! kinds are defined in new module kinds,
	64	! revision history before 2012 removed,
	65	! comment fields (!:) to be used for variable explanations added to
	66	! all variable declaration statements
[1072]	67	!
[1093]	68	! 1092 2013-02-02 11:24:22Z raasch
	69	! unused variables removed
	70	!
[1072]	71	! 1071 2012-11-29 16:54:55Z franke
[1071]	72	! Calculation of Hall and Wang kernel now uses collision-coalescence formulation
	73	! proposed by Wang instead of the continuous collection equation (for more
	74	! information about new method see PALM documentation)
	75	! Bugfix: message identifiers added
[849]	76	!
[1037]	77	! 1036 2012-10-22 13:43:42Z raasch
	78	! code put under GPL (PALM 3.9)
	79	!
[850]	80	! 849 2012-03-15 10:35:09Z raasch
	81	! initial revision (former part of advec_particles)
[849]	82	!
[850]	83	!
[849]	84	! Description:
	85	! ------------
[1682]	86	!> Calculates change in droplet radius by collision. Droplet collision is
	87	!> calculated for each grid box seperately. Collision is parameterized by
[1822]	88	!> using collision kernels. Two different kernels are available:
[1682]	89	!> Hall kernel: Kernel from Hall (1980, J. Atmos. Sci., 2486-2507), which
	90	!> considers collision due to pure gravitational effects.
	91	!> Wang kernel: Beside gravitational effects (treated with the Hall-kernel) also
	92	!> the effects of turbulence on the collision are considered using
	93	!> parameterizations of Ayala et al. (2008, New J. Phys., 10,
	94	!> 075015) and Wang and Grabowski (2009, Atmos. Sci. Lett., 10,
	95	!> 1-8). This kernel includes three possible effects of turbulence:
	96	!> the modification of the relative velocity between the droplets,
	97	!> the effect of preferential concentration, and the enhancement of
	98	!> collision efficiencies.
[849]	99	!------------------------------------------------------------------------------!
[1682]	100	SUBROUTINE lpm_droplet_collision (i,j,k)
	101
[849]	102
[1359]	103
[1320]	104	USE arrays_3d, &
[1822]	105	ONLY: diss, ql_v, ql_vp
[849]	106
[1320]	107	USE cloud_parameters, &
[1822]	108	ONLY: rho_l
[1320]	109
	110	USE constants, &
	111	ONLY: pi
	112
	113	USE control_parameters, &
[1822]	114	ONLY: dt_3d, message_string, dz
[1320]	115
	116	USE cpulog, &
	117	ONLY: cpu_log, log_point_s
	118
	119	USE grid_variables, &
[1822]	120	ONLY: dx, dy
[1320]	121
	122	USE kinds
	123
	124	USE lpm_collision_kernels_mod, &
[1822]	125	ONLY: ckernel, recalculate_kernel
[1320]	126
	127	USE particle_attributes, &
[1822]	128	ONLY: all_or_nothing, average_impact, dissipation_classes, &
	129	hall_kernel, iran_part, number_of_particles, particles, &
	130	particle_type, prt_count, use_kernel_tables, wang_kernel
[1320]	131
[1822]	132	USE random_function_mod, &
	133	ONLY: random_function
	134
[1359]	135	USE pegrid
	136
[849]	137	IMPLICIT NONE
	138
[1682]	139	INTEGER(iwp) :: eclass !<
	140	INTEGER(iwp) :: i !<
	141	INTEGER(iwp) :: j !<
	142	INTEGER(iwp) :: k !<
	143	INTEGER(iwp) :: n !<
[1822]	144	INTEGER(iwp) :: m !<
[1682]	145	INTEGER(iwp) :: rclass_l !<
	146	INTEGER(iwp) :: rclass_s !<
[849]	147
[1822]	148	REAL(wp) :: collection_probability !< probability for collection
	149	REAL(wp) :: ddV !< inverse grid box volume
	150	REAL(wp) :: epsilon !< dissipation rate
	151	REAL(wp) :: factor_volume_to_mass !< 4.0 / 3.0 * pi * rho_l
	152	REAL(wp) :: xm !< mean mass of droplet m
	153	REAL(wp) :: xn !< mean mass of droplet n
[1359]	154
[1822]	155	REAL(wp), DIMENSION(:), ALLOCATABLE :: weight !< weighting factor
	156	REAL(wp), DIMENSION(:), ALLOCATABLE :: mass !< total mass of super droplet
[1359]	157
[849]	158	CALL cpu_log( log_point_s(43), 'lpm_droplet_coll', 'start' )
	159
[1822]	160	number_of_particles = prt_count(k,j,i)
	161	factor_volume_to_mass = 4.0_wp / 3.0_wp * pi * rho_l
	162	ddV = 1 / ( dx * dy * dz )
[849]	163	!
[1822]	164	!-- Collision requires at least one super droplet inside the box
	165	IF ( number_of_particles > 0 ) THEN
[849]	166
	167	!
[1359]	168	!-- Now apply the different kernels
[1822]	169	IF ( use_kernel_tables ) THEN
[849]	170	!
[1822]	171	!-- Fast method with pre-calculated collection kernels for
[1359]	172	!-- discrete radius- and dissipation-classes.
	173	!--
	174	!-- Determine dissipation class index of this gridbox
	175	IF ( wang_kernel ) THEN
[1860]	176	eclass = INT( diss(k,j,i) * 1.0E4_wp / 600.0_wp * &
[1359]	177	dissipation_classes ) + 1
	178	epsilon = diss(k,j,i)
	179	ELSE
	180	epsilon = 0.0_wp
	181	ENDIF
	182	IF ( hall_kernel .OR. epsilon * 1.0E4_wp < 0.001_wp ) THEN
	183	eclass = 0 ! Hall kernel is used
	184	ELSE
	185	eclass = MIN( dissipation_classes, eclass )
	186	ENDIF
	187
[849]	188	!
[1359]	189	!-- Droplet collision are calculated using collision-coalescence
	190	!-- formulation proposed by Wang (see PALM documentation)
[1822]	191	!-- Temporary fields for total mass of super-droplet and weighting factors
	192	!-- are allocated.
	193	ALLOCATE(mass(1:number_of_particles), weight(1:number_of_particles))
[849]	194
[1822]	195	mass(1:number_of_particles) = particles(1:number_of_particles)%weight_factor * &
	196	particles(1:number_of_particles)%radius*3 &
	197	factor_volume_to_mass
	198	weight(1:number_of_particles) = particles(1:number_of_particles)%weight_factor
[849]	199
[1822]	200	IF ( average_impact ) THEN ! select collision algorithm
[1071]	201
[1822]	202	DO n = 1, number_of_particles
[1071]	203
[1822]	204	rclass_l = particles(n)%class
	205	xn = mass(n) / weight(n)
[849]	206
[1822]	207	DO m = n, number_of_particles
[849]	208
[1822]	209	rclass_s = particles(m)%class
	210	xm = mass(m) / weight(m)
[849]	211
[1822]	212	IF ( xm .LT. xn ) THEN
	213
	214	!
	215	!-- Particle n collects smaller particle m
	216	collection_probability = ckernel(rclass_l,rclass_s,eclass) * &
	217	weight(n) * ddV * dt_3d
[849]	218
[1822]	219	mass(n) = mass(n) + mass(m) * collection_probability
	220	weight(m) = weight(m) - weight(m) * collection_probability
	221	mass(m) = mass(m) - mass(m) * collection_probability
	222	ELSEIF ( xm .GT. xn ) THEN
[849]	223	!
[1822]	224	!-- Particle m collects smaller particle n
	225	collection_probability = ckernel(rclass_l,rclass_s,eclass) * &
	226	weight(m) * ddV * dt_3d
[849]	227
[1822]	228	mass(m) = mass(m) + mass(n) * collection_probability
	229	weight(n) = weight(n) - weight(n) * collection_probability
	230	mass(n) = mass(n) - mass(n) * collection_probability
	231	ELSE
[1071]	232	!
[1822]	233	!-- Same-size collections. If n = m, weight is reduced by the
	234	!-- number of possible same-size collections; the total mass
	235	!-- is not changed during same-size collection.
	236	!-- Same-size collections of different
	237	!-- particles ( n /= m ) are treated as same-size collections
	238	!-- of ONE partilce with weight = weight(n) + weight(m) and
	239	!-- mass = mass(n) + mass(m).
	240	!-- Accordingly, each particle loses the same number of
	241	!-- droplets to the other particle, but this has no effect on
	242	!-- total mass mass, since the exchanged droplets have the
	243	!-- same radius.
[849]	244
[1822]	245	!-- Note: For m = n this equation is an approximation only
	246	!-- valid for weight >> 1 (which is usually the case). The
	247	!-- approximation is weight(n)-1 = weight(n).
	248	weight(n) = weight(n) - 0.5_wp * weight(n) * &
	249	ckernel(rclass_l,rclass_s,eclass) * &
	250	weight(m) * ddV * dt_3d
	251	IF ( n .NE. m ) THEN
	252	weight(m) = weight(m) - 0.5_wp * weight(m) * &
	253	ckernel(rclass_l,rclass_s,eclass) * &
	254	weight(n) * ddV * dt_3d
	255	ENDIF
	256	ENDIF
[1071]	257
[1822]	258	ENDDO
[1071]	259
[1822]	260	ql_vp(k,j,i) = ql_vp(k,j,i) + mass(n) / factor_volume_to_mass
	261
[1359]	262	ENDDO
[849]	263
[1822]	264	ELSEIF ( all_or_nothing ) THEN ! select collision algorithm
[849]	265
[1822]	266	DO n = 1, number_of_particles
[849]	267
[1822]	268	rclass_l = particles(n)%class
	269	xn = mass(n) / weight(n) ! mean mass of droplet n
[849]	270
[1822]	271	DO m = n, number_of_particles
[849]	272
[1822]	273	rclass_s = particles(m)%class
	274	xm = mass(m) / weight(m) ! mean mass of droplet m
[849]	275
[1822]	276	IF ( weight(n) .LT. weight(m) ) THEN
	277	!
	278	!-- Particle n collects weight(n) droplets of particle m
	279	collection_probability = ckernel(rclass_l,rclass_s,eclass) * &
	280	weight(m) * ddV * dt_3d
[1071]	281
[1822]	282	IF ( collection_probability .GT. random_function( iran_part ) ) THEN
	283	mass(n) = mass(n) + weight(n) * xm
	284	weight(m) = weight(m) - weight(n)
	285	mass(m) = mass(m) - weight(n) * xm
	286	ENDIF
	287
	288	ELSEIF ( weight(m) .LT. weight(n) ) THEN
[849]	289	!
[1822]	290	!-- Particle m collects weight(m) droplets of particle n
	291	collection_probability = ckernel(rclass_l,rclass_s,eclass) * &
	292	weight(n) * ddV * dt_3d
	293
	294	IF ( collection_probability .GT. random_function( iran_part ) ) THEN
	295	mass(m) = mass(m) + weight(m) * xn
	296	weight(n) = weight(n) - weight(m)
	297	mass(n) = mass(n) - weight(m) * xn
	298	ENDIF
	299	ELSE
[849]	300	!
[1822]	301	!-- Collisions of particles of the same weighting factor.
	302	!-- Particle n collects 1/2 weight(n) droplets of particle m,
	303	!-- particle m collects 1/2 weight(m) droplets of particle n.
	304	!-- The total mass mass changes accordingly.
	305	!-- If n = m, the first half of the droplets coalesces with the
	306	!-- second half of the droplets; mass is unchanged because
	307	!-- xm = xn for n = m.
[849]	308
[1822]	309	!-- Note: For m = n this equation is an approximation only
	310	!-- valid for weight >> 1 (which is usually the case). The
	311	!-- approximation is weight(n)-1 = weight(n).
	312	collection_probability = ckernel(rclass_l,rclass_s,eclass) * &
	313	weight(n) * ddV * dt_3d
[849]	314
[1822]	315	IF ( collection_probability .GT. random_function( iran_part ) ) THEN
	316	mass(n) = mass(n) + 0.5_wp * weight(n) * ( xm - xn )
	317	mass(m) = mass(m) + 0.5_wp * weight(m) * ( xn - xm )
	318	weight(n) = weight(n) - 0.5_wp * weight(m)
	319	weight(m) = weight(n)
	320	ENDIF
	321	ENDIF
[849]	322
[1822]	323	ENDDO
[849]	324
[1822]	325	ql_vp(k,j,i) = ql_vp(k,j,i) + mass(n) / factor_volume_to_mass
[849]	326
[1822]	327	ENDDO
[849]	328
[1822]	329	ENDIF
[849]	330
	331
	332
	333
[1822]	334	IF ( ANY(weight < 0.0_wp) ) THEN
[2274]	335	WRITE( message_string, * ) 'negative weighting factor'
[1822]	336	CALL message( 'lpm_droplet_collision', 'PA0028', &
	337	2, 2, -1, 6, 1 )
	338	ENDIF
[849]	339
[1822]	340	particles(1:number_of_particles)%radius = ( mass(1:number_of_particles) / &
	341	( weight(1:number_of_particles) &
	342	* factor_volume_to_mass &
	343	) &
	344	)**0.33333333333333_wp
[849]	345
[1822]	346	particles(1:number_of_particles)%weight_factor = weight(1:number_of_particles)
[849]	347
[1822]	348	DEALLOCATE(weight, mass)
[849]	349
[1822]	350	ELSEIF ( .NOT. use_kernel_tables ) THEN
	351	!
	352	!-- Collection kernels are calculated for every new
	353	!-- grid box. First, allocate memory for kernel table.
	354	!-- Third dimension is 1, because table is re-calculated for
	355	!-- every new dissipation value.
	356	ALLOCATE( ckernel(1:number_of_particles,1:number_of_particles,1:1) )
	357	!
	358	!-- Now calculate collection kernel for this box. Note that
	359	!-- the kernel is based on the previous time step
	360	CALL recalculate_kernel( i, j, k )
	361	!
	362	!-- Droplet collision are calculated using collision-coalescence
	363	!-- formulation proposed by Wang (see PALM documentation)
	364	!-- Temporary fields for total mass of super-droplet and weighting factors
	365	!-- are allocated.
	366	ALLOCATE(mass(1:number_of_particles), weight(1:number_of_particles))
[849]	367
[1822]	368	mass(1:number_of_particles) = particles(1:number_of_particles)%weight_factor * &
	369	particles(1:number_of_particles)%radius*3 &
	370	factor_volume_to_mass
[849]	371
[1822]	372	weight(1:number_of_particles) = particles(1:number_of_particles)%weight_factor
[849]	373
[1822]	374	IF ( average_impact ) THEN ! select collision algorithm
[849]	375
[1822]	376	DO n = 1, number_of_particles
[849]	377
[1822]	378	xn = mass(n) / weight(n) ! mean mass of droplet n
[849]	379
[1822]	380	DO m = n, number_of_particles
[849]	381
[1822]	382	xm = mass(m) / weight(m) !mean mass of droplet m
[849]	383
[1822]	384	IF ( xm .LT. xn ) THEN
[849]	385	!
[1822]	386	!-- Particle n collects smaller particle m
	387	collection_probability = ckernel(n,m,1) * weight(n) * &
	388	ddV * dt_3d
	389
	390	mass(n) = mass(n) + mass(m) * collection_probability
	391	weight(m) = weight(m) - weight(m) * collection_probability
	392	mass(m) = mass(m) - mass(m) * collection_probability
	393	ELSEIF ( xm .GT. xn ) THEN
[849]	394	!
[1822]	395	!-- Particle m collects smaller particle n
	396	collection_probability = ckernel(n,m,1) * weight(m) * &
	397	ddV * dt_3d
[849]	398
[1822]	399	mass(m) = mass(m) + mass(n) * collection_probability
	400	weight(n) = weight(n) - weight(n) * collection_probability
	401	mass(n) = mass(n) - mass(n) * collection_probability
	402	ELSE
[849]	403	!
[1822]	404	!-- Same-size collections. If n = m, weight is reduced by the
	405	!-- number of possible same-size collections; the total mass
	406	!-- mass is not changed during same-size collection.
	407	!-- Same-size collections of different
	408	!-- particles ( n /= m ) are treated as same-size collections
	409	!-- of ONE partilce with weight = weight(n) + weight(m) and
	410	!-- mass = mass(n) + mass(m).
	411	!-- Accordingly, each particle loses the same number of
	412	!-- droplets to the other particle, but this has no effect on
	413	!-- total mass mass, since the exchanged droplets have the
	414	!-- same radius.
	415	!--
	416	!-- Note: For m = n this equation is an approximation only
	417	!-- valid for weight >> 1 (which is usually the case). The
	418	!-- approximation is weight(n)-1 = weight(n).
	419	weight(n) = weight(n) - 0.5_wp * weight(n) * &
	420	ckernel(n,m,1) * weight(m) * &
	421	ddV * dt_3d
	422	IF ( n .NE. m ) THEN
	423	weight(m) = weight(m) - 0.5_wp * weight(m) * &
	424	ckernel(n,m,1) * weight(n) * &
	425	ddV * dt_3d
	426	ENDIF
	427	ENDIF
[849]	428
	429
[1359]	430	ENDDO
[849]	431
[1822]	432	ql_vp(k,j,i) = ql_vp(k,j,i) + mass(n) / factor_volume_to_mass
[849]	433
[1822]	434	ENDDO
[849]	435
[1822]	436	ELSEIF ( all_or_nothing ) THEN ! select collision algorithm
[849]	437
[1822]	438	DO n = 1, number_of_particles
[849]	439
[1822]	440	xn = mass(n) / weight(n) ! mean mass of droplet n
[849]	441
[1822]	442	DO m = n, number_of_particles
[849]	443
[1822]	444	xm = mass(m) / weight(m) !mean mass of droplet m
[849]	445
[1822]	446	IF ( weight(n) .LT. weight(m) ) THEN
	447	!
	448	!-- Particle n collects smaller particle m
	449	collection_probability = ckernel(n,m,1) * weight(m) * &
	450	ddV * dt_3d
[1071]	451
[1822]	452	IF ( collection_probability .GT. random_function( iran_part ) ) THEN
[2122]	453	mass(n) = mass(n) + weight(n) * xm
	454	weight(m) = weight(m) - weight(n)
	455	mass(m) = mass(m) - weight(n) * xm
[1822]	456	ENDIF
[1359]	457
[1822]	458	ELSEIF ( weight(m) .LT. weight(n) ) THEN
[1071]	459	!
[1822]	460	!-- Particle m collects smaller particle n
	461	collection_probability = ckernel(n,m,1) * weight(n) * &
	462	ddV * dt_3d
[1071]	463
[1822]	464	IF ( collection_probability .GT. random_function( iran_part ) ) THEN
[2122]	465	mass(m) = mass(m) + weight(m) * xn
	466	weight(n) = weight(n) - weight(m)
	467	mass(n) = mass(n) - weight(m) * xn
[1822]	468	ENDIF
	469	ELSE
	470	!
	471	!-- Collisions of particles of the same weighting factor.
	472	!-- Particle n collects 1/2 weight(n) droplets of particle m,
	473	!-- particle m collects 1/2 weight(m) droplets of particle n.
	474	!-- The total mass mass changes accordingly.
	475	!-- If n = m, the first half of the droplets coalesces with the
	476	!-- second half of the droplets; mass is unchanged because
	477	!-- xm = xn for n = m.
	478	!--
	479	!-- Note: For m = n this equation is an approximation only
	480	!-- valid for weight >> 1 (which is usually the case). The
	481	!-- approximation is weight(n)-1 = weight(n).
	482	collection_probability = ckernel(n,m,1) * weight(n) * &
	483	ddV * dt_3d
[1071]	484
[1822]	485	IF ( collection_probability .GT. random_function( iran_part ) ) THEN
	486	mass(n) = mass(n) + 0.5_wp * weight(n) * ( xm - xn )
	487	mass(m) = mass(m) + 0.5_wp * weight(m) * ( xn - xm )
	488	weight(n) = weight(n) - 0.5_wp * weight(m)
	489	weight(m) = weight(n)
	490	ENDIF
	491	ENDIF
[1071]	492
	493
[1822]	494	ENDDO
[1071]	495
[1822]	496	ql_vp(k,j,i) = ql_vp(k,j,i) + mass(n) / factor_volume_to_mass
[1071]	497
[1822]	498	ENDDO
[1071]	499
[1822]	500	ENDIF
[1071]	501
[1822]	502	IF ( ANY(weight < 0.0_wp) ) THEN
[2274]	503	WRITE( message_string, * ) 'negative weighting factor'
[1822]	504	CALL message( 'lpm_droplet_collision', 'PA0028', &
	505	2, 2, -1, 6, 1 )
	506	ENDIF
	507
	508	particles(1:number_of_particles)%radius = ( mass(1:number_of_particles) / &
	509	( weight(1:number_of_particles) &
	510	* factor_volume_to_mass &
	511	) &
	512	)**0.33333333333333_wp
	513
	514	particles(1:number_of_particles)%weight_factor = weight(1:number_of_particles)
	515
	516	DEALLOCATE( weight, mass, ckernel )
	517
	518	ENDIF
	519
[849]	520	!
[1884]	521	!-- Check if LWC is conserved during collision process
	522	IF ( ql_v(k,j,i) /= 0.0_wp ) THEN
	523	IF ( ql_vp(k,j,i) / ql_v(k,j,i) >= 1.0001_wp .OR. &
	524	ql_vp(k,j,i) / ql_v(k,j,i) <= 0.9999_wp ) THEN
	525	WRITE( message_string, * ) ' LWC is not conserved during', &
	526	' collision! ', &
	527	' LWC after condensation: ', ql_v(k,j,i), &
	528	' LWC after collision: ', ql_vp(k,j,i)
	529	CALL message( 'lpm_droplet_collision', 'PA0040', 2, 2, -1, 6, 1 )
	530	ENDIF
[1359]	531	ENDIF
[1884]	532
[1359]	533	ENDIF
[1884]	534
[849]	535	CALL cpu_log( log_point_s(43), 'lpm_droplet_coll', 'stop' )
	536
[1359]	537	END SUBROUTINE lpm_droplet_collision

Note: See TracBrowser for help on using the repository browser.

Download in other formats:

| Impressum | ©Leibniz Universität Hannover |