MPTRAC
Functions
atm_dist.c File Reference

Calculate transport deviations of trajectories. More...

#include "mptrac.h"

Go to the source code of this file.

Functions

void usage (void)
 Print command-line help. More...
 
double finite_stat (const double *data, int np, const char *param, double *work)
 Calculate a statistic on finite values only. More...
 
int main (int argc, char *argv[])
 

Detailed Description

Calculate transport deviations of trajectories.

Definition in file atm_dist.c.

Function Documentation

◆ usage()

void usage ( void  )

Print command-line help.

Definition at line 429 of file atm_dist.c.

430 {
431
432 printf("\nMPTRAC atm_dist tool.\n\n");
433 printf
434 ("Calculate transport deviations between pairs of trajectory data sets.\n");
435 printf("\n");
436 printf("Usage:\n");
437 printf
438 (" atm_dist <ctl> <dist.tab> <param> <atm1a> <atm1b> [<atm2a> <atm2b> ...]\n");
439 printf("\n");
440 printf("Arguments:\n");
441 printf(" <ctl> Control file.\n");
442 printf(" <dist.tab> Output table.\n");
443 printf
444 (" <param> Statistic: mean, stddev, min, max, skew, kurt, absdev,\n");
445 printf(" median, or mad.\n");
446 printf(" <atm*a/b> Atmospheric input files to compare pairwise.\n");
447 printf("\nControl parameters:\n");
448 printf
449 (" DIST_REL_MIN[iq] Mask qnt-specific relative differences where\n");
450 printf
451 (" |q1| + |q2| is smaller than or equal to this\n");
452 printf(" threshold in the qnt unit [default: 0].\n");
453 printf("\nFurther information:\n");
454 printf(" Manual: https://slcs-jsc.github.io/mptrac/\n");
455}

◆ finite_stat()

double finite_stat ( const double *  data,
int  np,
const char *  param,
double *  work 
)

Calculate a statistic on finite values only.

Definition at line 461 of file atm_dist.c.

465 {
466
467 int n = 0;
468 for (int i = 0; i < np; i++)
469 if (isfinite(data[i]))
470 work[n++] = data[i];
471
472 if (n <= 0)
473 return GSL_NAN;
474
475 if (strcasecmp(param, "mean") == 0)
476 return gsl_stats_mean(work, 1, (size_t) n);
477 if (strcasecmp(param, "stddev") == 0)
478 return gsl_stats_sd(work, 1, (size_t) n);
479 if (strcasecmp(param, "min") == 0)
480 return gsl_stats_min(work, 1, (size_t) n);
481 if (strcasecmp(param, "max") == 0)
482 return gsl_stats_max(work, 1, (size_t) n);
483 if (strcasecmp(param, "skew") == 0)
484 return gsl_stats_skew(work, 1, (size_t) n);
485 if (strcasecmp(param, "kurt") == 0)
486 return gsl_stats_kurtosis(work, 1, (size_t) n);
487 if (strcasecmp(param, "absdev") == 0)
488 return gsl_stats_absdev_m(work, 1, (size_t) n, 0.0);
489 if (strcasecmp(param, "median") == 0)
490 return gsl_stats_median(work, 1, (size_t) n);
491 if (strcasecmp(param, "mad") == 0)
492 return gsl_stats_mad0(work, 1, (size_t) n, work);
493
494 ERRMSG("Unknown parameter!");
495 return GSL_NAN;
496}
ERRMSG
#define ERRMSG(...)
Print an error message with contextual information and terminate the program.
Definition: mptrac.h:2110

◆ main()

int main ( int  argc,
char *  argv[] 
)

Definition at line 46 of file atm_dist.c.

48 {
49
50 ctl_t ctl;
51
52 atm_t *atm1, *atm2;
53
54 FILE *out;
55
56 double *ahtd, *aqtd, *avtd, ahtdm, aqtdm[NQ], avtdm, *lat1_old, *lat2_old,
57 *lh1, *lh2, *lon1_old, *lon2_old, *lv1, *lv2, *rhtd, *rqtd, *rvtd, rhtdm,
58 rel_min[NQ], rqtdm[NQ], rvtdm, t0 =
59 0, x0[3], x1[3], x2[3], z1, *z1_old, z2, *z2_old, *work;
60
61 int init = 0, np;
62
63 /* Allocate... */
64 ALLOC(atm1, atm_t, 1);
65 ALLOC(atm2, atm_t, 1);
66 ALLOC(lon1_old, double,
67 NP);
68 ALLOC(lat1_old, double,
69 NP);
70 ALLOC(z1_old, double,
71 NP);
72 ALLOC(lh1, double,
73 NP);
74 ALLOC(lv1, double,
75 NP);
76 ALLOC(lon2_old, double,
77 NP);
78 ALLOC(lat2_old, double,
79 NP);
80 ALLOC(z2_old, double,
81 NP);
82 ALLOC(lh2, double,
83 NP);
84 ALLOC(lv2, double,
85 NP);
86 ALLOC(ahtd, double,
87 NP);
88 ALLOC(avtd, double,
89 NP);
90 ALLOC(aqtd, double,
91 NP * NQ);
92 ALLOC(rhtd, double,
93 NP);
94 ALLOC(rvtd, double,
95 NP);
96 ALLOC(rqtd, double,
97 NP * NQ);
98 ALLOC(work, double,
99 NP);
100
101 /* Print usage information... */
102 USAGE;
103
104 /* Check arguments... */
105 if (argc < 6)
106 ERRMSG("Missing or invalid command-line arguments.\n\n"
107 "Usage: atm_dist <ctl> <dist.tab> <param> <atm1a> <atm1b> [<atm2a> <atm2b> ...]\n\n"
108 "Use -h for full help.");
109
110 /* Read control parameters... */
111 mptrac_read_ctl(argv[1], argc, argv, &ctl);
112 const int ens =
113 (int) scan_ctl(argv[1], argc, argv, "DIST_ENS", -1, "-999", NULL);
114 const double p0 =
115 P(scan_ctl(argv[1], argc, argv, "DIST_Z0", -1, "-1000", NULL));
116 const double p1 =
117 P(scan_ctl(argv[1], argc, argv, "DIST_Z1", -1, "1000", NULL));
118 const double lat0 =
119 scan_ctl(argv[1], argc, argv, "DIST_LAT0", -1, "-1000", NULL);
120 const double lat1 =
121 scan_ctl(argv[1], argc, argv, "DIST_LAT1", -1, "1000", NULL);
122 const double lon0 =
123 scan_ctl(argv[1], argc, argv, "DIST_LON0", -1, "-1000", NULL);
124 const double lon1 =
125 scan_ctl(argv[1], argc, argv, "DIST_LON1", -1, "1000", NULL);
126 const double zscore =
127 scan_ctl(argv[1], argc, argv, "DIST_ZSCORE", -1, "-999", NULL);
128
129 for (int iq = 0; iq < NQ; iq++)
130 rel_min[iq] = 0;
131
132 /* Write info... */
133 LOG(1, "Write transport deviations: %s", argv[2]);
134
135 /* Create output file... */
136 if (!(out = fopen(argv[2], "w")))
137 ERRMSG("Cannot create file!");
138
139 /* Write header... */
140 fprintf(out,
141 "# $1 = time [s]\n"
142 "# $2 = time difference [s]\n"
143 "# $3 = absolute horizontal distance (%s) [km]\n"
144 "# $4 = relative horizontal distance (%s) [%%]\n"
145 "# $5 = absolute vertical distance (%s) [km]\n"
146 "# $6 = relative vertical distance (%s) [%%]\n",
147 argv[3], argv[3], argv[3], argv[3]);
148 for (int iq = 0; iq < ctl.nq; iq++) {
149 rel_min[iq] =
150 scan_ctl(argv[1], argc, argv, "DIST_REL_MIN", iq, "0", NULL);
151 if (rel_min[iq] > 0)
152 fprintf(out,
153 "# Relative %s differences are masked where |q1| + |q2| <= %g %s.\n",
154 ctl.qnt_name[iq], rel_min[iq], ctl.qnt_unit[iq]);
155 fprintf(out,
156 "# $%d = %s absolute difference (%s) [%s]\n"
157 "# $%d = %s relative difference (%s) [%%]\n",
158 7 + 2 * iq, ctl.qnt_name[iq], argv[3], ctl.qnt_unit[iq],
159 8 + 2 * iq, ctl.qnt_name[iq], argv[3]);
160 }
161 fprintf(out, "# $%d = number of particles\n\n", 7 + 2 * ctl.nq);
162
163 /* Loop over file pairs... */
164 for (int f = 4; f < argc; f += 2) {
165
166 /* Read atmopheric data... */
167 if (!mptrac_read_atm(argv[f], &ctl, atm1)
168 || !mptrac_read_atm(argv[f + 1], &ctl, atm2))
169 continue;
170
171 /* Check if structs match... */
172 if (atm1->np != atm2->np)
173 ERRMSG("Different numbers of particles!");
174
175 /* Get time from filename... */
176 const double t = time_from_filename(argv[f], ctl.atm_type < 2 ? 20 : 19);
177
178 /* Save initial time... */
179 if (!init) {
180 init = 1;
181 t0 = t;
182 }
183
184 /* Init... */
185 np = 0;
186 for (int ip = 0; ip < atm1->np; ip++) {
187 ahtd[ip] = avtd[ip] = rhtd[ip] = rvtd[ip] = 0;
188 for (int iq = 0; iq < ctl.nq; iq++)
189 aqtd[iq * NP + ip] = rqtd[iq * NP + ip] = 0;
190 }
191
192 /* Loop over air parcels... */
193 for (int ip = 0; ip < atm1->np; ip++) {
194
195 /* Check air parcel index... */
196 if (ctl.qnt_idx > 0
197 && (atm1->q[ctl.qnt_idx][ip] != atm2->q[ctl.qnt_idx][ip]))
198 ERRMSG("Air parcel index does not match!");
199
200 /* Check ensemble index... */
201 if (ctl.qnt_ens > 0
202 && (atm1->q[ctl.qnt_ens][ip] != ens
203 || atm2->q[ctl.qnt_ens][ip] != ens))
204 continue;
205
206 /* Check time... */
207 if (!isfinite(atm1->time[ip]) || !isfinite(atm2->time[ip]))
208 continue;
209
210 /* Check spatial range... */
211 if (atm1->p[ip] > p0 || atm1->p[ip] < p1
212 || atm1->lon[ip] < lon0 || atm1->lon[ip] > lon1
213 || atm1->lat[ip] < lat0 || atm1->lat[ip] > lat1)
214 continue;
215 if (atm2->p[ip] > p0 || atm2->p[ip] < p1
216 || atm2->lon[ip] < lon0 || atm2->lon[ip] > lon1
217 || atm2->lat[ip] < lat0 || atm2->lat[ip] > lat1)
218 continue;
219
220 /* Convert coordinates... */
221 geo2cart(0, atm1->lon[ip], atm1->lat[ip], x1);
222 geo2cart(0, atm2->lon[ip], atm2->lat[ip], x2);
223 z1 = Z(atm1->p[ip]);
224 z2 = Z(atm2->p[ip]);
225
226 /* Calculate absolute transport deviations... */
227 ahtd[np] = DIST(x1, x2);
228 avtd[np] = z1 - z2;
229 for (int iq = 0; iq < ctl.nq; iq++)
230 aqtd[iq * NP + np] = atm1->q[iq][ip] - atm2->q[iq][ip];
231
232 /* Calculate relative transport deviations... */
233 if (f > 4) {
234
235 /* Get trajectory lengths... */
236 geo2cart(0, lon1_old[ip], lat1_old[ip], x0);
237 lh1[ip] += DIST(x0, x1);
238 lv1[ip] += fabs(z1_old[ip] - z1);
239
240 geo2cart(0, lon2_old[ip], lat2_old[ip], x0);
241 lh2[ip] += DIST(x0, x2);
242 lv2[ip] += fabs(z2_old[ip] - z2);
243
244 /* Get relative transport deviations... */
245 if (lh1[ip] + lh2[ip] > 0)
246 rhtd[np] = 200. * DIST(x1, x2) / (lh1[ip] + lh2[ip]);
247 if (lv1[ip] + lv2[ip] > 0)
248 rvtd[np] = 200. * (z1 - z2) / (lv1[ip] + lv2[ip]);
249 }
250
251 /* Get relative transport deviations... */
252 for (int iq = 0; iq < ctl.nq; iq++) {
253 const double q1 = atm1->q[iq][ip];
254 const double q2 = atm2->q[iq][ip];
255 const double denom = fabs(q1) + fabs(q2);
256 if (denom <= rel_min[iq])
257 rqtd[iq * NP + np] = GSL_NAN;
258 else
259 rqtd[iq * NP + np] = 200. * (q1 - q2) / denom;
260 }
261
262 /* Save positions of air parcels... */
263 lon1_old[ip] = atm1->lon[ip];
264 lat1_old[ip] = atm1->lat[ip];
265 z1_old[ip] = z1;
266
267 lon2_old[ip] = atm2->lon[ip];
268 lat2_old[ip] = atm2->lat[ip];
269 z2_old[ip] = z2;
270
271 /* Increment air parcel counter... */
272 np++;
273 }
274
275 /* Filter data... */
276 if (zscore > 0 && np > 1) {
277
278 /* Get means and standard deviations of transport deviations... */
279 const size_t n = (size_t) np;
280 const double muh = gsl_stats_mean(ahtd, 1, n);
281 const double muv = gsl_stats_mean(avtd, 1, n);
282 const double sigh = gsl_stats_sd(ahtd, 1, n);
283 const double sigv = gsl_stats_sd(avtd, 1, n);
284
285 /* Filter data... */
286 np = 0;
287 for (size_t i = 0; i < n; i++)
288 if (fabs((ahtd[i] - muh) / sigh) < zscore
289 && fabs((avtd[i] - muv) / sigv) < zscore) {
290 ahtd[np] = ahtd[i];
291 rhtd[np] = rhtd[i];
292 avtd[np] = avtd[i];
293 rvtd[np] = rvtd[i];
294 for (int iq = 0; iq < ctl.nq; iq++) {
295 aqtd[iq * NP + np] = aqtd[iq * NP + (int) i];
296 rqtd[iq * NP + np] = rqtd[iq * NP + (int) i];
297 }
298 np++;
299 }
300 }
301
302 /* Get statistics... */
303 if (strcasecmp(argv[3], "mean") == 0) {
304 ahtdm = gsl_stats_mean(ahtd, 1, (size_t) np);
305 rhtdm = gsl_stats_mean(rhtd, 1, (size_t) np);
306 avtdm = gsl_stats_mean(avtd, 1, (size_t) np);
307 rvtdm = gsl_stats_mean(rvtd, 1, (size_t) np);
308 for (int iq = 0; iq < ctl.nq; iq++) {
309 aqtdm[iq] = gsl_stats_mean(&aqtd[iq * NP], 1, (size_t) np);
310 rqtdm[iq] = finite_stat(&rqtd[iq * NP], np, argv[3], work);
311 }
312 } else if (strcasecmp(argv[3], "stddev") == 0) {
313 ahtdm = gsl_stats_sd(ahtd, 1, (size_t) np);
314 rhtdm = gsl_stats_sd(rhtd, 1, (size_t) np);
315 avtdm = gsl_stats_sd(avtd, 1, (size_t) np);
316 rvtdm = gsl_stats_sd(rvtd, 1, (size_t) np);
317 for (int iq = 0; iq < ctl.nq; iq++) {
318 aqtdm[iq] = gsl_stats_sd(&aqtd[iq * NP], 1, (size_t) np);
319 rqtdm[iq] = finite_stat(&rqtd[iq * NP], np, argv[3], work);
320 }
321 } else if (strcasecmp(argv[3], "min") == 0) {
322 ahtdm = gsl_stats_min(ahtd, 1, (size_t) np);
323 rhtdm = gsl_stats_min(rhtd, 1, (size_t) np);
324 avtdm = gsl_stats_min(avtd, 1, (size_t) np);
325 rvtdm = gsl_stats_min(rvtd, 1, (size_t) np);
326 for (int iq = 0; iq < ctl.nq; iq++) {
327 aqtdm[iq] = gsl_stats_min(&aqtd[iq * NP], 1, (size_t) np);
328 rqtdm[iq] = finite_stat(&rqtd[iq * NP], np, argv[3], work);
329 }
330 } else if (strcasecmp(argv[3], "max") == 0) {
331 ahtdm = gsl_stats_max(ahtd, 1, (size_t) np);
332 rhtdm = gsl_stats_max(rhtd, 1, (size_t) np);
333 avtdm = gsl_stats_max(avtd, 1, (size_t) np);
334 rvtdm = gsl_stats_max(rvtd, 1, (size_t) np);
335 for (int iq = 0; iq < ctl.nq; iq++) {
336 aqtdm[iq] = gsl_stats_max(&aqtd[iq * NP], 1, (size_t) np);
337 rqtdm[iq] = finite_stat(&rqtd[iq * NP], np, argv[3], work);
338 }
339 } else if (strcasecmp(argv[3], "skew") == 0) {
340 ahtdm = gsl_stats_skew(ahtd, 1, (size_t) np);
341 rhtdm = gsl_stats_skew(rhtd, 1, (size_t) np);
342 avtdm = gsl_stats_skew(avtd, 1, (size_t) np);
343 rvtdm = gsl_stats_skew(rvtd, 1, (size_t) np);
344 for (int iq = 0; iq < ctl.nq; iq++) {
345 aqtdm[iq] = gsl_stats_skew(&aqtd[iq * NP], 1, (size_t) np);
346 rqtdm[iq] = finite_stat(&rqtd[iq * NP], np, argv[3], work);
347 }
348 } else if (strcasecmp(argv[3], "kurt") == 0) {
349 ahtdm = gsl_stats_kurtosis(ahtd, 1, (size_t) np);
350 rhtdm = gsl_stats_kurtosis(rhtd, 1, (size_t) np);
351 avtdm = gsl_stats_kurtosis(avtd, 1, (size_t) np);
352 rvtdm = gsl_stats_kurtosis(rvtd, 1, (size_t) np);
353 for (int iq = 0; iq < ctl.nq; iq++) {
354 aqtdm[iq] = gsl_stats_kurtosis(&aqtd[iq * NP], 1, (size_t) np);
355 rqtdm[iq] = finite_stat(&rqtd[iq * NP], np, argv[3], work);
356 }
357 } else if (strcasecmp(argv[3], "absdev") == 0) {
358 ahtdm = gsl_stats_absdev_m(ahtd, 1, (size_t) np, 0.0);
359 rhtdm = gsl_stats_absdev_m(rhtd, 1, (size_t) np, 0.0);
360 avtdm = gsl_stats_absdev_m(avtd, 1, (size_t) np, 0.0);
361 rvtdm = gsl_stats_absdev_m(rvtd, 1, (size_t) np, 0.0);
362 for (int iq = 0; iq < ctl.nq; iq++) {
363 aqtdm[iq] = gsl_stats_absdev_m(&aqtd[iq * NP], 1, (size_t) np, 0.0);
364 rqtdm[iq] = finite_stat(&rqtd[iq * NP], np, argv[3], work);
365 }
366 } else if (strcasecmp(argv[3], "median") == 0) {
367 ahtdm = gsl_stats_median(ahtd, 1, (size_t) np);
368 rhtdm = gsl_stats_median(rhtd, 1, (size_t) np);
369 avtdm = gsl_stats_median(avtd, 1, (size_t) np);
370 rvtdm = gsl_stats_median(rvtd, 1, (size_t) np);
371 for (int iq = 0; iq < ctl.nq; iq++) {
372 aqtdm[iq] = gsl_stats_median(&aqtd[iq * NP], 1, (size_t) np);
373 rqtdm[iq] = finite_stat(&rqtd[iq * NP], np, argv[3], work);
374 }
375 } else if (strcasecmp(argv[3], "mad") == 0) {
376 ahtdm = gsl_stats_mad0(ahtd, 1, (size_t) np, work);
377 rhtdm = gsl_stats_mad0(rhtd, 1, (size_t) np, work);
378 avtdm = gsl_stats_mad0(avtd, 1, (size_t) np, work);
379 rvtdm = gsl_stats_mad0(rvtd, 1, (size_t) np, work);
380 for (int iq = 0; iq < ctl.nq; iq++) {
381 aqtdm[iq] = gsl_stats_mad0(&aqtd[iq * NP], 1, (size_t) np, work);
382 rqtdm[iq] = finite_stat(&rqtd[iq * NP], np, argv[3], work);
383 }
384 } else
385 ERRMSG("Unknown parameter!");
386
387 /* Write output... */
388 fprintf(out, "%.2f %.2f %g %g %g %g", t, t - t0,
389 ahtdm, rhtdm, avtdm, rvtdm);
390 for (int iq = 0; iq < ctl.nq; iq++) {
391 fprintf(out, " ");
392 fprintf(out, ctl.qnt_format[iq], aqtdm[iq]);
393 fprintf(out, " ");
394 fprintf(out, ctl.qnt_format[iq], rqtdm[iq]);
395 }
396 fprintf(out, " %d\n", np);
397 }
398
399 /* Close file... */
400 fclose(out);
401
402 /* Free... */
403 free(atm1);
404 free(atm2);
405 free(lon1_old);
406 free(lat1_old);
407 free(z1_old);
408 free(lh1);
409 free(lv1);
410 free(lon2_old);
411 free(lat2_old);
412 free(z2_old);
413 free(lh2);
414 free(lv2);
415 free(ahtd);
416 free(avtd);
417 free(aqtd);
418 free(rhtd);
419 free(rvtd);
420 free(rqtd);
421 free(work);
422
423 return EXIT_SUCCESS;
424}
finite_stat
double finite_stat(const double *data, int np, const char *param, double *work)
Calculate a statistic on finite values only.
Definition: atm_dist.c:461
scan_ctl
double scan_ctl(const char *filename, int argc, char *argv[], const char *varname, const int arridx, const char *defvalue, char *value)
Scans a control file or command-line arguments for a specified variable.
Definition: mptrac.c:11683
time_from_filename
double time_from_filename(const char *filename, const int offset)
Extracts and converts a timestamp from a filename to Julian seconds.
Definition: mptrac.c:11955
mptrac_read_atm
int mptrac_read_atm(const char *filename, const ctl_t *ctl, atm_t *atm)
Reads air parcel data from a specified file into the given atmospheric structure.
Definition: mptrac.c:6010
mptrac_read_ctl
void mptrac_read_ctl(const char *filename, int argc, char *argv[], ctl_t *ctl)
Reads control parameters from a configuration file and populates the given structure.
Definition: mptrac.c:6141
geo2cart
void geo2cart(const double z, const double lon, const double lat, double *x)
Converts geographic coordinates (longitude, latitude, altitude) to Cartesian coordinates.
Definition: mptrac.c:2565
USAGE
#define USAGE
Print usage information on -h or --help.
Definition: mptrac.h:1917
Z
#define Z(p)
Convert pressure to altitude.
Definition: mptrac.h:1947
P
#define P(z)
Compute pressure at given altitude.
Definition: mptrac.h:1488
NQ
#define NQ
Maximum number of quantities per data point.
Definition: mptrac.h:364
ALLOC
#define ALLOC(ptr, type, n)
Allocate memory for a pointer with error handling.
Definition: mptrac.h:457
NP
#define NP
Maximum number of atmospheric data points.
Definition: mptrac.h:359
LOG
#define LOG(level,...)
Print a log message with a specified logging level.
Definition: mptrac.h:2040
DIST
#define DIST(a, b)
Calculate the distance between two points in Cartesian coordinates.
Definition: mptrac.h:708
atm_t
Air parcel data.
Definition: mptrac.h:3234
atm_t::time
double time[NP]
Time [s].
Definition: mptrac.h:3240
atm_t::lat
double lat[NP]
Latitude [deg].
Definition: mptrac.h:3249
atm_t::lon
double lon[NP]
Longitude [deg].
Definition: mptrac.h:3246
atm_t::np
int np
Number of air parcels.
Definition: mptrac.h:3237
atm_t::q
double q[NQ][NP]
Quantity data (for various, user-defined attributes).
Definition: mptrac.h:3252
atm_t::p
double p[NP]
Pressure [hPa].
Definition: mptrac.h:3243
ctl_t
Control parameters.
Definition: mptrac.h:2198
ctl_t::qnt_format
char qnt_format[NQ][LEN]
Quantity output format.
Definition: mptrac.h:2217
ctl_t::atm_type
int atm_type
Type of atmospheric data files (0=ASCII, 1=binary, 2=netCDF, 3=CLaMS_traj, 4=CLaMS_pos).
Definition: mptrac.h:3000
ctl_t::qnt_unit
char qnt_unit[NQ][LEN]
Quantity units.
Definition: mptrac.h:2214
ctl_t::qnt_name
char qnt_name[NQ][LEN]
Quantity names.
Definition: mptrac.h:2208
ctl_t::qnt_ens
int qnt_ens
Quantity array index for ensemble IDs.
Definition: mptrac.h:2223
ctl_t::qnt_idx
int qnt_idx
Quantity array index for air parcel IDs.
Definition: mptrac.h:2220
ctl_t::nq
int nq
Number of quantities.
Definition: mptrac.h:2205
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