def traceback(level, station_id, aerofilt_dir):
import hysplit_tools as tools
import numpy as np
import scipy.io
import os,sys
import math
Tman_coord = [39.0,84.0]
Tman_a = 800 #km semi-major axis
Tman_b = 300 #km semi-minor axis
Tman_tilt = 70 #degrees between North and major axis
Gobi_coord = [43.0,106.0]
Gobi_a = 1000 #km semi_major axis
Gobi_b = 500
Gobi_tilt = 65 #degrees between North and major axis
G_maxlon = 118
G_minlon = 95
G_maxlat = 49
G_minlat = 37
T_maxlon = 93
T_minlon = 75
T_maxlat = 43
T_minlat = 35
#load .mat file
data_keys = ('station','start_loc','start_date','end_loc','delta_t','delta_d','desert_tag')
startdir = os.getcwd()
topdir = aerofilt_dir+'\Level '+level+'\\'+station_id
os.chdir(topdir)
output_filename = station_id+'traceback2'
hysplit_files = os.listdir(os.getcwd())
data_index = []
start_date = []
start_loc = []
end_loc = []
delta_t = []
station = []
delta_d = []
desert_tag = []
print 'Processing %s folder' %station_id
for h in hysplit_files:
filetest = h.split('.')
try:
filetest[2] == 'mat'
hysplit_dict = scipy.io.loadmat(h)
lat = hysplit_dict['lat']
lon = hysplit_dict['lon']
data_index = []
d_total = 0
for n in range(1,len(lat)):
[d_temp,theta_temp] = tools.haversine(lat[n-1],lon[n-1],lat[n],lon[n])
d_total = d_total + d_temp
if G_minlat < lat[n] < G_maxlat:
if G_minlon < lon[n] < G_maxlon:
[G_range,G_theta] = tools.haversine(lat[n],lon[n],Gobi_coord[0],Gobi_coord[1])
G_rad = tools.ellipserad(Gobi_a,Gobi_b,G_theta,Gobi_tilt)
if G_range < G_rad:
data_index.append(n)
delta_d.append(d_total)
desert_tag.append('Gobi')
if T_minlat < lat[n] < T_maxlat:
if T_minlon < lon[n] < T_maxlon:
[T_range,T_theta] = tools.haversine(lat[n],lon[n],Tman_coord[0],Tman_coord[1])
T_rad = tools.ellipserad(Tman_a,Tman_b,T_theta,Tman_tilt)
if T_range < T_rad:
data_index.append(n)
delta_d.append(d_total)
desert_tag.append('Tman')
for n in range(0,len(data_index)):
start_date.append((hysplit_dict['year'][0],hysplit_dict['month'][0],hysplit_dict['day'][0],\
hysplit_dict['hour'][0]))
start_loc.append((lat[0],lon[0]))
end_loc.append((lat[data_index[n]],lon[data_index[n]]))
delta_t.append(hysplit_dict['delta_t'][data_index[n]])
station.append(station_id)
except IndexError:
pass
output_data = (station,start_loc,start_date,end_loc,delta_t,delta_d,desert_tag)
output_dict = dict(zip(data_keys,output_data))
scipy.io.savemat(output_filename,output_dict)
os.chdir(startdir)
def traceback(level, station_id, aerofilt_dir):
import hysplit_tools as tools
import numpy as np
import scipy.io
import os, sys
import math
Tman_coord = [39.0, 84.0]
Tman_a = 800 #km semi-major axis
Tman_b = 300 #km semi-minor axis
Tman_tilt = 70 #degrees between North and major axis
Gobi_coord = [43.0, 106.0]
Gobi_a = 1000 #km semi_major axis
Gobi_b = 500
Gobi_tilt = 65 #degrees between North and major axis
G_maxlon = 118
G_minlon = 95
G_maxlat = 49
G_minlat = 37
T_maxlon = 93
T_minlon = 75
T_maxlat = 43
T_minlat = 35
#load .mat file
data_keys = ('station', 'start_loc', 'start_date', 'end_loc', 'delta_t',
'delta_d', 'desert_tag')
startdir = os.getcwd()
topdir = aerofilt_dir + '\Level ' + level + '\\' + station_id
os.chdir(topdir)
output_filename = station_id + 'traceback2'
hysplit_files = os.listdir(os.getcwd())
data_index = []
start_date = []
start_loc = []
end_loc = []
delta_t = []
station = []
delta_d = []
desert_tag = []
print 'Processing %s folder' % station_id
for h in hysplit_files:
filetest = h.split('.')
try:
filetest[2] == 'mat'
hysplit_dict = scipy.io.loadmat(h)
lat = hysplit_dict['lat']
lon = hysplit_dict['lon']
data_index = []
d_total = 0
for n in range(1, len(lat)):
[d_temp, theta_temp] = tools.haversine(lat[n - 1], lon[n - 1],
lat[n], lon[n])
d_total = d_total + d_temp
if G_minlat < lat[n] < G_maxlat:
if G_minlon < lon[n] < G_maxlon:
[G_range,
G_theta] = tools.haversine(lat[n], lon[n],
Gobi_coord[0],
Gobi_coord[1])
G_rad = tools.ellipserad(Gobi_a, Gobi_b, G_theta,
Gobi_tilt)
if G_range < G_rad:
data_index.append(n)
delta_d.append(d_total)
desert_tag.append('Gobi')
if T_minlat < lat[n] < T_maxlat:
if T_minlon < lon[n] < T_maxlon:
[T_range,
T_theta] = tools.haversine(lat[n], lon[n],
Tman_coord[0],
Tman_coord[1])
T_rad = tools.ellipserad(Tman_a, Tman_b, T_theta,
Tman_tilt)
if T_range < T_rad:
data_index.append(n)
delta_d.append(d_total)
desert_tag.append('Tman')
for n in range(0, len(data_index)):
start_date.append((hysplit_dict['year'][0],hysplit_dict['month'][0],hysplit_dict['day'][0],\
hysplit_dict['hour'][0]))
start_loc.append((lat[0], lon[0]))
end_loc.append((lat[data_index[n]], lon[data_index[n]]))
delta_t.append(hysplit_dict['delta_t'][data_index[n]])
station.append(station_id)
except IndexError:
pass
output_data = (station, start_loc, start_date, end_loc, delta_t, delta_d,
desert_tag)
output_dict = dict(zip(data_keys, output_data))
scipy.io.savemat(output_filename, output_dict)
os.chdir(startdir)
def traceback(aerofilt_dir):
import hysplit_tools as tools
import numpy as np
import pandas as pan
import os,sys
import math
import datetime as dt
Tman_coord = [39.0,84.0]
Tman_a = 800 #km semi-major axis
Tman_b = 300 #km semi-minor axis
Tman_tilt = 70 #degrees between North and major axis
Gobi_coord = [43.0,106.0]
Gobi_a = 1000 #km semi_major axis
Gobi_b = 500
Gobi_tilt = 65 #degrees between North and major axis
G_maxlon = 118
G_minlon = 95
G_maxlat = 49
G_minlat = 37
T_maxlon = 93
T_minlon = 75
T_maxlat = 43
T_minlat = 35
#load .mat file
[aerofilt_topdir, station_id] = os.path.split(aerofilt_dir)
data_keys = ('station','start_loc','start_date','end_loc','delta_t','delta_d','desert_tag')
startdir = os.getcwd()
os.chdir(aerofilt_dir)
output_filename = station_id+'traceback'
hysplit_files = os.listdir(os.getcwd())
data_index = []
start_date = []
start_loc = []
end_loc = []
delta_t = []
station = []
delta_d = []
desert_tag = []
files = 0
tracks = 0
G = 0
T = 0
print 'Traceback is Processing %s folder' %station_id
for h in hysplit_files:
filetest = h.split('.')
try:
if filetest[1] == 'mat' and not('Aerostats' in h or 'traceback' in h):
files += 1
hysplit_dict = scipy.io.loadmat(h)
lat = hysplit_dict['lat']
lon = hysplit_dict['lon']
data_index = []
d_total = 0
tracks = tracks + len(lat)
for n in range(1,len(lat)):
[d_temp,theta_temp] = tools.haversine(lat[n-1],lon[n-1],lat[n],lon[n])
d_total = d_total + d_temp
if G_minlat < lat[n] < G_maxlat:
if G_minlon < lon[n] < G_maxlon:
[G_range,G_theta] = tools.haversine(lat[n],lon[n],Gobi_coord[0],Gobi_coord[1])
G_rad = tools.ellipserad(Gobi_a,Gobi_b,G_theta,Gobi_tilt)
if G_range < G_rad:
data_index.append(n)
delta_d.append(d_total)
desert_tag.append('Gobi')
G += 1
if T_minlat < lat[n] < T_maxlat:
if T_minlon < lon[n] < T_maxlon:
[T_range,T_theta] = tools.haversine(lat[n],lon[n],Tman_coord[0],Tman_coord[1])
T_rad = tools.ellipserad(Tman_a,Tman_b,T_theta,Tman_tilt)
if T_range < T_rad:
data_index.append(n)
delta_d.append(d_total)
desert_tag.append('Tman')
T += 1
for n in range(0,len(data_index)):
tempdate = dt.datetime(hysplit_dict['year'][0],hysplit_dict['month'][0],hysplit_dict['day'][0],\
hysplit_dict['hour'][0])
start_date.append(tempdate)
start_loc.append((lat[0],lon[0]))
end_loc.append((lat[data_index[n]],lon[data_index[n]]))
delta_t.append(hysplit_dict['delta_t'][data_index[n]])
station.append(station_id)
except IndexError:
pass
output_data = (station,start_loc,end_loc,delta_t,delta_d,desert_tag)
output_dict = dict(zip(data_keys,output_data))
df_out = pan.DataFrame(output_dict, index = start_date)
pan.save(df_out, output_filename)
os.chdir(startdir)
print 'Out of %i files, %i total tracks checked' %(files,tracks)
G_percent = 100.0*G/tracks
T_percent = 100.0*T/tracks
print '%0.3f percent of tracks passed over Gobi (or %i total)' %(G_percent, G)
print '%0.3f percent of tracks passed over Taklimikan (or %i total)' %(T_percent, T)
def traceback(aerofilt_dir):
import hysplit_tools as tools
import numpy as np
import pandas as pan
import os, sys
import math
import datetime as dt
Tman_coord = [39.0, 84.0]
Tman_a = 800 #km semi-major axis
Tman_b = 300 #km semi-minor axis
Tman_tilt = 70 #degrees between North and major axis
Gobi_coord = [43.0, 106.0]
Gobi_a = 1000 #km semi_major axis
Gobi_b = 500
Gobi_tilt = 65 #degrees between North and major axis
G_maxlon = 118
G_minlon = 95
G_maxlat = 49
G_minlat = 37
T_maxlon = 93
T_minlon = 75
T_maxlat = 43
T_minlat = 35
#load .mat file
[aerofilt_topdir, station_id] = os.path.split(aerofilt_dir)
data_keys = ('station', 'start_loc', 'start_date', 'end_loc', 'delta_t',
'delta_d', 'desert_tag')
startdir = os.getcwd()
os.chdir(aerofilt_dir)
output_filename = station_id + 'traceback'
hysplit_files = os.listdir(os.getcwd())
data_index = []
start_date = []
start_loc = []
end_loc = []
delta_t = []
station = []
delta_d = []
desert_tag = []
files = 0
tracks = 0
G = 0
T = 0
print 'Traceback is Processing %s folder' % station_id
for h in hysplit_files:
filetest = h.split('.')
try:
if filetest[1] == 'mat' and not ('Aerostats' in h
or 'traceback' in h):
files += 1
hysplit_dict = scipy.io.loadmat(h)
lat = hysplit_dict['lat']
lon = hysplit_dict['lon']
data_index = []
d_total = 0
tracks = tracks + len(lat)
for n in range(1, len(lat)):
[d_temp,
theta_temp] = tools.haversine(lat[n - 1], lon[n - 1],
lat[n], lon[n])
d_total = d_total + d_temp
if G_minlat < lat[n] < G_maxlat:
if G_minlon < lon[n] < G_maxlon:
[G_range, G_theta
] = tools.haversine(lat[n], lon[n], Gobi_coord[0],
Gobi_coord[1])
G_rad = tools.ellipserad(Gobi_a, Gobi_b, G_theta,
Gobi_tilt)
if G_range < G_rad:
data_index.append(n)
delta_d.append(d_total)
desert_tag.append('Gobi')
G += 1
if T_minlat < lat[n] < T_maxlat:
if T_minlon < lon[n] < T_maxlon:
[T_range, T_theta
] = tools.haversine(lat[n], lon[n], Tman_coord[0],
Tman_coord[1])
T_rad = tools.ellipserad(Tman_a, Tman_b, T_theta,
Tman_tilt)
if T_range < T_rad:
data_index.append(n)
delta_d.append(d_total)
desert_tag.append('Tman')
T += 1
for n in range(0, len(data_index)):
tempdate = dt.datetime(hysplit_dict['year'][0],hysplit_dict['month'][0],hysplit_dict['day'][0],\
hysplit_dict['hour'][0])
start_date.append(tempdate)
start_loc.append((lat[0], lon[0]))
end_loc.append((lat[data_index[n]], lon[data_index[n]]))
delta_t.append(hysplit_dict['delta_t'][data_index[n]])
station.append(station_id)
except IndexError:
pass
output_data = (station, start_loc, end_loc, delta_t, delta_d, desert_tag)
output_dict = dict(zip(data_keys, output_data))
df_out = pan.DataFrame(output_dict, index=start_date)
pan.save(df_out, output_filename)
os.chdir(startdir)
print 'Out of %i files, %i total tracks checked' % (files, tracks)
G_percent = 100.0 * G / tracks
T_percent = 100.0 * T / tracks
print '%0.3f percent of tracks passed over Gobi (or %i total)' % (
G_percent, G)
print '%0.3f percent of tracks passed over Taklimikan (or %i total)' % (
T_percent, T)
def traceback(aerofilt_dir):
import hysplit_tools as tools
import numpy as np
import scipy.io
import os, sys
import math
Tman_coord = [39.0, 84.0]
Tman_a = 800 # km semi-major axis
Tman_b = 300 # km semi-minor axis
Tman_tilt = 70 # degrees between North and major axis
Gobi_coord = [43.0, 106.0]
Gobi_a = 1000 # km semi_major axis
Gobi_b = 500
Gobi_tilt = 65 # degrees between North and major axis
G_maxlon = 118
G_minlon = 95
G_maxlat = 49
G_minlat = 37
T_maxlon = 93
T_minlon = 75
T_maxlat = 43
T_minlat = 35
# load .mat file
[aerofilt_topdir, station_id] = os.path.split(aerofilt_dir)
data_keys = ("station", "start_loc", "start_date", "end_loc", "delta_t", "delta_d", "desert_tag")
startdir = os.getcwd()
os.chdir(aerofilt_dir)
output_filename = station_id + "traceback"
hysplit_files = os.listdir(os.getcwd())
data_index = []
start_date = []
start_loc = []
end_loc = []
delta_t = []
station = []
delta_d = []
desert_tag = []
files = 0
tracks = 0
G = 0
T = 0
print "Traceback is Processing %s folder" % station_id
for h in hysplit_files:
filetest = h.split(".")
try:
if filetest[1] == "mat" and not ("Aerostats" in h or "traceback" in h):
files += 1
hysplit_dict = scipy.io.loadmat(h)
lat = hysplit_dict["lat"]
lon = hysplit_dict["lon"]
data_index = []
d_total = 0
tracks = tracks + len(lat)
for n in range(1, len(lat)):
[d_temp, theta_temp] = tools.haversine(lat[n - 1], lon[n - 1], lat[n], lon[n])
d_total = d_total + d_temp
if G_minlat < lat[n] < G_maxlat:
if G_minlon < lon[n] < G_maxlon:
[G_range, G_theta] = tools.haversine(lat[n], lon[n], Gobi_coord[0], Gobi_coord[1])
G_rad = tools.ellipserad(Gobi_a, Gobi_b, G_theta, Gobi_tilt)
if G_range < G_rad:
data_index.append(n)
delta_d.append(d_total)
desert_tag.append("Gobi")
G += 1
if T_minlat < lat[n] < T_maxlat:
if T_minlon < lon[n] < T_maxlon:
[T_range, T_theta] = tools.haversine(lat[n], lon[n], Tman_coord[0], Tman_coord[1])
T_rad = tools.ellipserad(Tman_a, Tman_b, T_theta, Tman_tilt)
if T_range < T_rad:
data_index.append(n)
delta_d.append(d_total)
desert_tag.append("Tman")
T += 1
for n in range(0, len(data_index)):
start_date.append(
(
hysplit_dict["year"][0],
hysplit_dict["month"][0],
hysplit_dict["day"][0],
hysplit_dict["hour"][0],
)
)
start_loc.append((lat[0], lon[0]))
end_loc.append((lat[data_index[n]], lon[data_index[n]]))
delta_t.append(hysplit_dict["delta_t"][data_index[n]])
station.append(station_id)
except IndexError:
pass
output_data = (station, start_loc, start_date, end_loc, delta_t, delta_d, desert_tag)
output_dict = dict(zip(data_keys, output_data))
scipy.io.savemat(output_filename, output_dict)
os.chdir(startdir)
print "Out of %i files, %i total tracks checked" % (files, tracks)
G_percent = 100.0 * G / tracks
T_percent = 100.0 * T / tracks
print "%0.3f percent of tracks passed over Gobi (or %i total)" % (G_percent, G)
print "%0.3f percent of tracks passed over Taklimikan (or %i total)" % (T_percent, T)