49 double *ahtd, *aqtd, *avtd, ahtdm, aqtdm[
NQ], avtdm, *lat1_old, *lat2_old,
50 *lh1, *lh2, *lon1_old, *lon2_old, *lv1, *lv2, *rhtd, *rqtd, *rvtd, rhtdm,
51 rqtdm[
NQ], rvtdm, t0 =
52 0, x0[3], x1[3], x2[3], z1, *z1_old, z2, *z2_old, *work;
59 ALLOC(lon1_old,
double,
61 ALLOC(lat1_old,
double,
69 ALLOC(lon2_old,
double,
71 ALLOC(lat2_old,
double,
99 ERRMSG(
"Missing or invalid command-line arguments.\n\n"
100 "Usage: atm_dist <ctl> <dist.tab> <param> <atm1a> <atm1b> [<atm2a> <atm2b> ...]\n\n"
101 "Use -h for full help.");
106 (int)
scan_ctl(argv[1], argc, argv,
"DIST_ENS", -1,
"-999", NULL);
108 P(
scan_ctl(argv[1], argc, argv,
"DIST_Z0", -1,
"-1000", NULL));
110 P(
scan_ctl(argv[1], argc, argv,
"DIST_Z1", -1,
"1000", NULL));
112 scan_ctl(argv[1], argc, argv,
"DIST_LAT0", -1,
"-1000", NULL);
114 scan_ctl(argv[1], argc, argv,
"DIST_LAT1", -1,
"1000", NULL);
116 scan_ctl(argv[1], argc, argv,
"DIST_LON0", -1,
"-1000", NULL);
118 scan_ctl(argv[1], argc, argv,
"DIST_LON1", -1,
"1000", NULL);
119 const double zscore =
120 scan_ctl(argv[1], argc, argv,
"DIST_ZSCORE", -1,
"-999", NULL);
123 LOG(1,
"Write transport deviations: %s", argv[2]);
126 if (!(out = fopen(argv[2],
"w")))
127 ERRMSG(
"Cannot create file!");
132 "# $2 = time difference [s]\n"
133 "# $3 = absolute horizontal distance (%s) [km]\n"
134 "# $4 = relative horizontal distance (%s) [%%]\n"
135 "# $5 = absolute vertical distance (%s) [km]\n"
136 "# $6 = relative vertical distance (%s) [%%]\n",
137 argv[3], argv[3], argv[3], argv[3]);
138 for (
int iq = 0; iq < ctl.
nq; iq++)
140 "# $%d = %s absolute difference (%s) [%s]\n"
141 "# $%d = %s relative difference (%s) [%%]\n",
143 8 + 2 * iq, ctl.
qnt_name[iq], argv[3]);
144 fprintf(out,
"# $%d = number of particles\n\n", 7 + 2 * ctl.
nq);
147 for (
int f = 4; f < argc; f += 2) {
155 if (atm1->
np != atm2->
np)
156 ERRMSG(
"Different numbers of particles!");
169 for (
int ip = 0; ip < atm1->
np; ip++) {
170 ahtd[ip] = avtd[ip] = rhtd[ip] = rvtd[ip] = 0;
171 for (
int iq = 0; iq < ctl.
nq; iq++)
172 aqtd[iq *
NP + ip] = rqtd[iq *
NP + ip] = 0;
176 for (
int ip = 0; ip < atm1->
np; ip++) {
181 ERRMSG(
"Air parcel index does not match!");
186 || atm2->
q[ctl.
qnt_ens][ip] != ens))
190 if (!isfinite(atm1->
time[ip]) || !isfinite(atm2->
time[ip]))
194 if (atm1->
p[ip] > p0 || atm1->
p[ip] < p1
195 || atm1->
lon[ip] < lon0 || atm1->
lon[ip] > lon1
196 || atm1->
lat[ip] < lat0 || atm1->
lat[ip] > lat1)
198 if (atm2->
p[ip] > p0 || atm2->
p[ip] < p1
199 || atm2->
lon[ip] < lon0 || atm2->
lon[ip] > lon1
200 || atm2->
lat[ip] < lat0 || atm2->
lat[ip] > lat1)
210 ahtd[np] =
DIST(x1, x2);
212 for (
int iq = 0; iq < ctl.
nq; iq++)
213 aqtd[iq *
NP + np] = atm1->
q[iq][ip] - atm2->
q[iq][ip];
219 geo2cart(0, lon1_old[ip], lat1_old[ip], x0);
220 lh1[ip] +=
DIST(x0, x1);
221 lv1[ip] += fabs(z1_old[ip] - z1);
223 geo2cart(0, lon2_old[ip], lat2_old[ip], x0);
224 lh2[ip] +=
DIST(x0, x2);
225 lv2[ip] += fabs(z2_old[ip] - z2);
228 if (lh1[ip] + lh2[ip] > 0)
229 rhtd[np] = 200. *
DIST(x1, x2) / (lh1[ip] + lh2[ip]);
230 if (lv1[ip] + lv2[ip] > 0)
231 rvtd[np] = 200. * (z1 - z2) / (lv1[ip] + lv2[ip]);
235 for (
int iq = 0; iq < ctl.
nq; iq++)
236 rqtd[iq *
NP + np] = 200. * (atm1->
q[iq][ip] - atm2->
q[iq][ip])
237 / (fabs(atm1->
q[iq][ip]) + fabs(atm2->
q[iq][ip]));
240 lon1_old[ip] = atm1->
lon[ip];
241 lat1_old[ip] = atm1->
lat[ip];
244 lon2_old[ip] = atm2->
lon[ip];
245 lat2_old[ip] = atm2->
lat[ip];
253 if (zscore > 0 && np > 1) {
256 const size_t n = (size_t) np;
257 const double muh = gsl_stats_mean(ahtd, 1, n);
258 const double muv = gsl_stats_mean(avtd, 1, n);
259 const double sigh = gsl_stats_sd(ahtd, 1, n);
260 const double sigv = gsl_stats_sd(avtd, 1, n);
264 for (
size_t i = 0; i < n; i++)
265 if (fabs((ahtd[i] - muh) / sigh) < zscore
266 && fabs((avtd[i] - muv) / sigv) < zscore) {
271 for (
int iq = 0; iq < ctl.
nq; iq++) {
272 aqtd[iq *
NP + np] = aqtd[iq *
NP + (int) i];
273 rqtd[iq *
NP + np] = rqtd[iq *
NP + (int) i];
280 if (strcasecmp(argv[3],
"mean") == 0) {
281 ahtdm = gsl_stats_mean(ahtd, 1, (
size_t) np);
282 rhtdm = gsl_stats_mean(rhtd, 1, (
size_t) np);
283 avtdm = gsl_stats_mean(avtd, 1, (
size_t) np);
284 rvtdm = gsl_stats_mean(rvtd, 1, (
size_t) np);
285 for (
int iq = 0; iq < ctl.
nq; iq++) {
286 aqtdm[iq] = gsl_stats_mean(&aqtd[iq *
NP], 1, (
size_t) np);
287 rqtdm[iq] = gsl_stats_mean(&rqtd[iq *
NP], 1, (
size_t) np);
289 }
else if (strcasecmp(argv[3],
"stddev") == 0) {
290 ahtdm = gsl_stats_sd(ahtd, 1, (
size_t) np);
291 rhtdm = gsl_stats_sd(rhtd, 1, (
size_t) np);
292 avtdm = gsl_stats_sd(avtd, 1, (
size_t) np);
293 rvtdm = gsl_stats_sd(rvtd, 1, (
size_t) np);
294 for (
int iq = 0; iq < ctl.
nq; iq++) {
295 aqtdm[iq] = gsl_stats_sd(&aqtd[iq *
NP], 1, (
size_t) np);
296 rqtdm[iq] = gsl_stats_sd(&rqtd[iq *
NP], 1, (
size_t) np);
298 }
else if (strcasecmp(argv[3],
"min") == 0) {
299 ahtdm = gsl_stats_min(ahtd, 1, (
size_t) np);
300 rhtdm = gsl_stats_min(rhtd, 1, (
size_t) np);
301 avtdm = gsl_stats_min(avtd, 1, (
size_t) np);
302 rvtdm = gsl_stats_min(rvtd, 1, (
size_t) np);
303 for (
int iq = 0; iq < ctl.
nq; iq++) {
304 aqtdm[iq] = gsl_stats_min(&aqtd[iq *
NP], 1, (
size_t) np);
305 rqtdm[iq] = gsl_stats_min(&rqtd[iq *
NP], 1, (
size_t) np);
307 }
else if (strcasecmp(argv[3],
"max") == 0) {
308 ahtdm = gsl_stats_max(ahtd, 1, (
size_t) np);
309 rhtdm = gsl_stats_max(rhtd, 1, (
size_t) np);
310 avtdm = gsl_stats_max(avtd, 1, (
size_t) np);
311 rvtdm = gsl_stats_max(rvtd, 1, (
size_t) np);
312 for (
int iq = 0; iq < ctl.
nq; iq++) {
313 aqtdm[iq] = gsl_stats_max(&aqtd[iq *
NP], 1, (
size_t) np);
314 rqtdm[iq] = gsl_stats_max(&rqtd[iq *
NP], 1, (
size_t) np);
316 }
else if (strcasecmp(argv[3],
"skew") == 0) {
317 ahtdm = gsl_stats_skew(ahtd, 1, (
size_t) np);
318 rhtdm = gsl_stats_skew(rhtd, 1, (
size_t) np);
319 avtdm = gsl_stats_skew(avtd, 1, (
size_t) np);
320 rvtdm = gsl_stats_skew(rvtd, 1, (
size_t) np);
321 for (
int iq = 0; iq < ctl.
nq; iq++) {
322 aqtdm[iq] = gsl_stats_skew(&aqtd[iq *
NP], 1, (
size_t) np);
323 rqtdm[iq] = gsl_stats_skew(&rqtd[iq *
NP], 1, (
size_t) np);
325 }
else if (strcasecmp(argv[3],
"kurt") == 0) {
326 ahtdm = gsl_stats_kurtosis(ahtd, 1, (
size_t) np);
327 rhtdm = gsl_stats_kurtosis(rhtd, 1, (
size_t) np);
328 avtdm = gsl_stats_kurtosis(avtd, 1, (
size_t) np);
329 rvtdm = gsl_stats_kurtosis(rvtd, 1, (
size_t) np);
330 for (
int iq = 0; iq < ctl.
nq; iq++) {
331 aqtdm[iq] = gsl_stats_kurtosis(&aqtd[iq *
NP], 1, (
size_t) np);
332 rqtdm[iq] = gsl_stats_kurtosis(&rqtd[iq *
NP], 1, (
size_t) np);
334 }
else if (strcasecmp(argv[3],
"absdev") == 0) {
335 ahtdm = gsl_stats_absdev_m(ahtd, 1, (
size_t) np, 0.0);
336 rhtdm = gsl_stats_absdev_m(rhtd, 1, (
size_t) np, 0.0);
337 avtdm = gsl_stats_absdev_m(avtd, 1, (
size_t) np, 0.0);
338 rvtdm = gsl_stats_absdev_m(rvtd, 1, (
size_t) np, 0.0);
339 for (
int iq = 0; iq < ctl.
nq; iq++) {
340 aqtdm[iq] = gsl_stats_absdev_m(&aqtd[iq *
NP], 1, (
size_t) np, 0.0);
341 rqtdm[iq] = gsl_stats_absdev_m(&rqtd[iq *
NP], 1, (
size_t) np, 0.0);
343 }
else if (strcasecmp(argv[3],
"median") == 0) {
344 ahtdm = gsl_stats_median(ahtd, 1, (
size_t) np);
345 rhtdm = gsl_stats_median(rhtd, 1, (
size_t) np);
346 avtdm = gsl_stats_median(avtd, 1, (
size_t) np);
347 rvtdm = gsl_stats_median(rvtd, 1, (
size_t) np);
348 for (
int iq = 0; iq < ctl.
nq; iq++) {
349 aqtdm[iq] = gsl_stats_median(&aqtd[iq *
NP], 1, (
size_t) np);
350 rqtdm[iq] = gsl_stats_median(&rqtd[iq *
NP], 1, (
size_t) np);
352 }
else if (strcasecmp(argv[3],
"mad") == 0) {
353 ahtdm = gsl_stats_mad0(ahtd, 1, (
size_t) np, work);
354 rhtdm = gsl_stats_mad0(rhtd, 1, (
size_t) np, work);
355 avtdm = gsl_stats_mad0(avtd, 1, (
size_t) np, work);
356 rvtdm = gsl_stats_mad0(rvtd, 1, (
size_t) np, work);
357 for (
int iq = 0; iq < ctl.
nq; iq++) {
358 aqtdm[iq] = gsl_stats_mad0(&aqtd[iq *
NP], 1, (
size_t) np, work);
359 rqtdm[iq] = gsl_stats_mad0(&rqtd[iq *
NP], 1, (
size_t) np, work);
362 ERRMSG(
"Unknown parameter!");
365 fprintf(out,
"%.2f %.2f %g %g %g %g", t, t - t0,
366 ahtdm, rhtdm, avtdm, rvtdm);
367 for (
int iq = 0; iq < ctl.
nq; iq++) {
373 fprintf(out,
" %d\n", np);
409 printf(
"\nMPTRAC atm_dist tool.\n\n");
411 (
"Calculate transport deviations between pairs of trajectory data sets.\n");
415 (
" atm_dist <ctl> <dist.tab> <param> <atm1a> <atm1b> [<atm2a> <atm2b> ...]\n");
417 printf(
"Arguments:\n");
418 printf(
" <ctl> Control file.\n");
419 printf(
" <dist.tab> Output table.\n");
421 (
" <param> Statistic: mean, stddev, min, max, skew, kurt, absdev,\n");
422 printf(
" median, or mad.\n");
423 printf(
" <atm*a/b> Atmospheric input files to compare pairwise.\n");
424 printf(
"\nFurther information:\n");
425 printf(
" Manual: https://slcs-jsc.github.io/mptrac/\n");
int main(int argc, char *argv[])
void usage(void)
Print command-line help.
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.
double time_from_filename(const char *filename, const int offset)
Extracts and converts a timestamp from a filename to Julian seconds.
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.
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.
void geo2cart(const double z, const double lon, const double lat, double *x)
Converts geographic coordinates (longitude, latitude, altitude) to Cartesian coordinates.
MPTRAC library declarations.
#define ERRMSG(...)
Print an error message with contextual information and terminate the program.
#define USAGE
Print usage information on -h or --help.
#define Z(p)
Convert pressure to altitude.
#define P(z)
Compute pressure at given altitude.
#define NQ
Maximum number of quantities per data point.
#define ALLOC(ptr, type, n)
Allocate memory for a pointer with error handling.
#define NP
Maximum number of atmospheric data points.
#define LOG(level,...)
Print a log message with a specified logging level.
#define DIST(a, b)
Calculate the distance between two points in Cartesian coordinates.
double lat[NP]
Latitude [deg].
double lon[NP]
Longitude [deg].
int np
Number of air parcels.
double q[NQ][NP]
Quantity data (for various, user-defined attributes).
double p[NP]
Pressure [hPa].
char qnt_format[NQ][LEN]
Quantity output format.
int atm_type
Type of atmospheric data files (0=ASCII, 1=binary, 2=netCDF, 3=CLaMS_traj, 4=CLaMS_pos).
char qnt_unit[NQ][LEN]
Quantity units.
char qnt_name[NQ][LEN]
Quantity names.
int qnt_ens
Quantity array index for ensemble IDs.
int qnt_idx
Quantity array index for air parcel IDs.
int nq
Number of quantities.