year = '10'
month = '04'
day = range(01,31)
hour = range(0,24,6)

totalruns = len(stations)*len(day)*len(hour)*len(heights)
runs = 0

#select meteorology files

meteo_list = tools.get_files('Select Meteorology Files')
meteo_files = meteo_list.split()

#set output directory

output_dir = tools.set_dir('Select Output Directory')

for s in stations:
    for d in day:
        for h in hour:
            for z in heights:
                start_time = [year,month,d,h]

                run_hours = '-240'
                    
                tools.control_single(s,start_time,run_hours,z,meteo_files,output_dir)
                startupinfo = subprocess.STARTUPINFO()
                startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
                
                proc = subprocess.call('c:/hysplit4/exec/hyts_std', startupinfo=startupinfo)
                runs += 1
                for n in range(0,len(a['station'])):
                    aerodate = a['date'][n,2]
                    if aerodate in hydates:
                        for key in a.keys():
                            try:
                                tempdict[key].append(a[key][n])
                            except KeyError:
                                tempdict[key] = a[key][n]
                            except AttributeError:
                                tempdict[key] = np.vstack((tempdict[key],a[key][n]))
                aerolist_mod.append(tempdict)

    output_dict = {'Hysplit':hylist,'Aeronet':aerolist_mod}

    scipy.io.savemat('Combproc',output_dict)


if __name__ == '__main__':
    import hysplit_tools as tools
    
    aerofilt_topdir = tools.set_dir('Select Top Level Directory')

    print 'Generating Aeronet Processed Data File'
    aeroproc(aerofilt_topdir)
    
    print 'Generating Hysplit Processed Data File'
    traceproc(aerofilt_topdir)

##    print 'Generating Aeronet Combined    Data File'
##    combproc(aerofilt_topdir)
import numpy as np
import scipy.io
import os, sys

# STEP #1: Filter original Hysplit files to include only days that have aeronet data

level = "15"

aerofilt_dir = "K:\Hysplit\AEROFILT"
os.chdir(aerofilt_dir)

startdir = os.getcwd()

aeronet_file = tools.get_files("Choose Aeronet File", ("Aeronet Files", "*.Dubovik"))

hysplit_path = tools.set_dir("Select Hysplit Directory")

hydir = os.path.split(hysplit_path)[1]

tools.aeronet_dayfilter(level, aeronet_path[1:-1], aerofilt_dir, hysplit_path)

# STEP #2: Convert aeronet file and filtered hysplit files to .mat format

tools.hysplit_matfile_generator(level, hydir, aerofilt_dir)

tools.aeronet_matfile_generator(level, aeronet_file[1:-1], hydir, aerofilt_dir)

# STEP #3: Generate Hysplit traceback file

traceback.traceback(level, hydir, aerofilt_dir)
示例#4
0
import scipy.io
import os, sys

#STEP #1: Filter original Hysplit files to include only days that have aeronet data

level = '15'

aerofilt_dir = 'K:\Hysplit\AEROFILT'
os.chdir(aerofilt_dir)

startdir = os.getcwd()

aeronet_file = tools.get_files('Choose Aeronet File',
                               ('Aeronet Files', '*.Dubovik'))

hysplit_path = tools.set_dir('Select Hysplit Directory')

hydir = os.path.split(hysplit_path)[1]

tools.aeronet_dayfilter(level, aeronet_path[1:-1], aerofilt_dir, hysplit_path)

#STEP #2: Convert aeronet file and filtered hysplit files to .mat format

tools.hysplit_matfile_generator(level, hydir, aerofilt_dir)

tools.aeronet_matfile_generator(level, aeronet_file[1:-1], hydir, aerofilt_dir)

#STEP #3: Generate Hysplit traceback file

traceback.traceback(level, hydir, aerofilt_dir)
year = "10"
month = "04"
day = range(01, 31)
hour = range(0, 24, 6)

totalruns = len(stations) * len(day) * len(hour) * len(heights)
runs = 0

# select meteorology files

meteo_list = tools.get_files("Select Meteorology Files")
meteo_files = meteo_list.split()

# set output directory

output_dir = tools.set_dir("Select Output Directory")

for s in stations:
    for d in day:
        for h in hour:
            for z in heights:
                start_time = [year, month, d, h]

                run_hours = "-240"

                tools.control_single(s, start_time, run_hours, z, meteo_files, output_dir)
                startupinfo = subprocess.STARTUPINFO()
                startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW

                proc = subprocess.call("c:/hysplit4/exec/hyts_std", startupinfo=startupinfo)
                runs += 1
示例#6
0
                    aerodate = a['date'][n, 2]
                    if aerodate in hydates:
                        for key in a.keys():
                            try:
                                tempdict[key].append(a[key][n])
                            except KeyError:
                                tempdict[key] = a[key][n]
                            except AttributeError:
                                tempdict[key] = np.vstack(
                                    (tempdict[key], a[key][n]))
                aerolist_mod.append(tempdict)

    output_dict = {'Hysplit': hylist, 'Aeronet': aerolist_mod}

    scipy.io.savemat('Combproc', output_dict)


if __name__ == '__main__':
    import hysplit_tools as tools

    aerofilt_topdir = tools.set_dir('Select Top Level Directory')

    print 'Generating Aeronet Processed Data File'
    aeroproc(aerofilt_topdir)

    print 'Generating Hysplit Processed Data File'
    traceproc(aerofilt_topdir)

##    print 'Generating Aeronet Combined    Data File'
##    combproc(aerofilt_topdir)