Atmospheric Lidar Package: licel.py@74449200826c (annotated)

licel.py@74449200826c (annotated)

licel.py

Fri, 25 Oct 2013 18:41:58 +0200

author: ulalume3 <binietoglou@imaa.cnr.it>
date: Fri, 25 Oct 2013 18:41:58 +0200
changeset 17: 74449200826c
parent 16: 1122ee9ef151
child 21: 406eb996a9cd
permissions: -rw-r--r--

Added vmin, vmax as plot parameters.

 import numpy as np
 import datetime
 from generic import BaseLidarMeasurement, Lidar_channel
 import musa_netcdf_parameters
 import musa_2009_netcdf_parameters
 licel_file_header_format = ['Filename',
                             'Site StartDate StartTime EndDate EndTime Altitude Longtitude Latitude ZenithAngle',
                             'LS1 Rate1 LS2 Rate2 DataSets', ]
 licel_file_channel_format = 'Active AnalogPhoton LaserUsed DataPoints 1 HV BinW Wavelength d1 d2 d3 d4 ADCbits NShots Discriminator ID'
 class LicelFile:
     def __init__(self, filename):
         self.start_time = None
         self.stop_time = None
         self.import_file(filename)
         self.calculate_physical()
         self.filename = filename
     def calculate_physical(self):
         for channel in self.channels.itervalues():
             channel.calculate_physical()
     def import_file(self, filename):
         """Imports a licel file.
         Input: filename
         Output: object """
         raw_info = {}
         channels = {}
         channel_info = []
         f = open(filename, 'rb')
         #Read the first 3 lines of the header
         raw_info = {}
         for c1 in range(3):
             raw_info.update(match_lines(f.readline(), licel_file_header_format[c1]))
         start_string = '%s %s' % (raw_info['StartDate'], raw_info['StartTime'])
         stop_string = '%s %s' % (raw_info['EndDate'], raw_info['EndTime'])
         date_format = '%d/%m/%Y %H:%M:%S'
         self.start_time = datetime.datetime.strptime(start_string, date_format)
         self.stop_time = datetime.datetime.strptime(stop_string, date_format)
         self.latitude = float(raw_info['Latitude'])
         self.longitude = float(raw_info['Longtitude'])
         # Read the rest of the header.
         for c1 in range(int(raw_info['DataSets'])):
             channel_info.append(match_lines(f.readline(), licel_file_channel_format))
         # Check the complete header is read
         a = f.readline()
         # Import the data
         for current_channel_info in channel_info:
             raw_data = np.fromfile(f, 'i4', int(current_channel_info['DataPoints']))
             a = np.fromfile(f, 'b', 1)
             b = np.fromfile(f, 'b', 1)
             if (a[0] != 13) | (b[0] != 10):
                 print "Warning: No end of line found after record. File could be corrupt"
             channel = LicelFileChannel(current_channel_info, raw_data)
             channel_name = channel.channel_name
             if channel_name in channels.keys():
                 # If the analog/photon naming scheme is not enough, find a new one!
                 raise IOError('Trying to import two channels with the same name')
             channels[channel_name] = channel
         f.close()
         self.raw_info = raw_info
         self.channels = channels
 class LicelFileChannel:
     def __init__(self, raw_info = None, raw_data = None):
         self.raw_info = raw_info
         self.raw_data = raw_data
     @property
     def wavelength(self):
         if self.raw_info is not None:
             wave_str = self.raw_info['Wavelength']
             wavelength = wave_str.split('.')[0]
             return int(wavelength)
         else:
             return None
     @property
     def channel_name(self):
         '''
         Construct the channel name adding analog photon info to avoid duplicates
         '''
         acquisition_type = self.analog_photon_string(self.raw_info['AnalogPhoton'])
         channel_name = "%s_%s" % (self.raw_info['Wavelength'], acquisition_type)
         return channel_name
     def analog_photon_string(self, analog_photon_number):
         if analog_photon_number == '0':
             string = 'an'
         else:
             string = 'ph'
         return string
     def calculate_physical(self):
         data = self.raw_data
         number_of_shots = float(self.raw_info['NShots'])
         norm = data/number_of_shots
         dz = float(self.raw_info['BinW'])
         if self.raw_info['AnalogPhoton']=='0':
             # If the channel is in analog mode
             ADCb = int(self.raw_info['ADCbits'])
             ADCrange = float(self.raw_info['Discriminator'])*1000 # Value in mV
             channel_data = norm*ADCrange/((2**ADCb)-1)
             # print ADCb, ADCRange,cdata,norm
         else:
             # If the channel is in photoncounting mode
             # Frequency deduced from range resolution! (is this ok?)
             # c = 300 # The result will be in MHZ
             # SR  = c/(2*dz) # To account for pulse folding
             # channel_data = norm*SR
             # CHANGE:
             # For the SCC the data are needed in photons
             channel_data = norm*number_of_shots
             #print res,c,cdata,norm
         #Calculate Z
         number_of_bins  = int(self.raw_info['DataPoints'])
         self.z = np.array([dz*bin_number + dz/2.0 for bin_number in range(number_of_bins)])
         self.dz = dz
         self.number_of_bins = number_of_bins
         self.data = channel_data
 class LicelLidarMeasurement(BaseLidarMeasurement):
     '''
     '''
     extra_netcdf_parameters = musa_netcdf_parameters
     def import_file(self, filename):
         if filename in self.files:
             print "File has been imported already:" + filename
         else:
             current_file = LicelFile(filename)
             for channel_name, channel in current_file.channels.items():
                 if channel_name not in self.channels:
                     self.channels[channel_name] = Licel_channel(channel)
                 self.channels[channel_name].data[current_file.start_time] = channel.data
             self.files.append(current_file.filename)
     def append(self, other):
         self.start_times.extend(other.start_times)
         self.stop_times.extend(other.stop_times)
         for channel_name, channel in self.channels.items():
             channel.append(other.channels[channel_name])
 class Licel_channel(Lidar_channel):
     def __init__(self, channel_file):
         c = 299792458.0 #Speed of light
         self.wavelength = channel_file.wavelength
         self.name = channel_file.channel_name
         self.binwidth = channel_file.dz * 2 / c # in microseconds
         self.data = {}
         self.resolution = channel_file.dz
         self.z = np.arange(channel_file.number_of_bins) *self.resolution + self.resolution/2.0 #Change: add half bin in the z
         self.points = channel_file.number_of_bins
         self.rc = []
         self.duration  = 60
     def append(self, other):
         if self.info != other.info:
             raise ValueError('Channel info are different. Data can not be combined.')
         self.data = np.vstack([self.data, other.data])
     def __unicode__(self):
         return "<Licel channel: %s>" % self.info['Wavelength']
     def __str__(self):
         return unicode(self).encode('utf-8')
 class Licel2009LidarMeasurement(LicelLidarMeasurement):
     extra_netcdf_parameters = musa_2009_netcdf_parameters
 def match_lines(f1,f2):
     list1 = f1.split()
     list2 = f2.split()
     if len(list1) != len(list2):
         print "Warning: Combining lists of different lengths."
         print "List 1: %s" % list1
         print "List 2: %s" % list2
     combined = zip(list2,list1)
     combined = dict(combined)
     return combined

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licel.py@74449200826c (annotated)

licel.py