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(Created page with "=Processing DMT Cloud Droplet Probe (CDP) data from SEA M300 file= ==process_raw (Level 1)== '''Purpose''' Extracts the diagnostic data and raw channel counts from the SEA...")
 
 
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=Processing DMT Cloud Droplet Probe (CDP) data from SEA M300 file=
=Processing DMT Cloud Droplet Probe (CDP) data from SEA M300 file=


==process_raw (Level 1)==
==process_raw (Level 1)==
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'''Purpose'''
'''Purpose'''


Calculates  
Calculates the concentration of cloud droplet particles based on the CDP channel counts and the true air speed.  Also calculates bulk parameters such as liquid water content, mean diameter, etc.


'''Required Input Files'''
'''Required Input Files'''


<nowiki>*.seriald1.wcm.raw</nowiki> or <nowiki>*.wcm_comb.raw</nowiki>
* <nowiki>*.counts.cdp.raw</nowiki>
* <nowiki>*.basic.raw</nowiki>
 
'''Optional Input Files'''


'''Optional Input Files''''
<nowiki>*.serialB.aimms.*</nowiki>


<nowiki>*.CIP_V.conc.1Hz</nowiki>
'''Optional Keywords'''


<nowiki>*.conc.cdp.1Hz</nowiki>
* fast      - skips long duration processing
* final    - causes output data to be tagged with 'Final' instead of 'Preliminary' for data type.
* csh_error - errors are returned to the shell calling program instead of occurring in the IDL code.
* tas      - the true air speed [m/s] to use instead of values from the basic_file.


'''Output files'''
'''Output files'''


<nowiki>*.correct.wcm.raw</nowiki>
<nowiki>*.conc.cdp.raw</nowiki>


'''Syntax'''
'''Syntax'''


  [python3] wcm2correct.py [verbose=0|1] [cip_conc_file] [cdp_conc_file] wcm_file
  cdp_counts2conc <fast> <final> <csh_error> <tas = value> CDP_counts_file <basic_file> <serialB.aimms_file>


'''Examples'''
'''Examples'''


  wcm2correct.py verbose=1 19_08_23_07_12_37.wcm_comb.raw
  cdp_counts2conc 21_11_18_05_31_30.counts.cdp.raw 21_11_18_05_31_30.basic.4Hz
 
 
wcm2correct.py 18_07_05_02_34_31.conc.cdp.1Hz 18_07_05_02_34_31.seriald1.wcm.raw
   
wcm2correct.py verbose=1 19_08_23_07_14_13.cip_PADS.raw 19_08_23_07_14_13.cdp_PADS.raw 19_08_23_07_12_37.seriald1.wcm.raw


==avgfields: *.conc.cdp.raw to *.conc.cdp.1Hz (Level 3)==  
==avgfields: *.conc.cdp.raw to *.conc.cdp.1Hz (Level 3)==  
==Level 4 Processing==
 
(mergefield - merge in TAS data from *.basic.* file into *.adc.cip.* file to create *.adc_tas.cdp.raw)
'''Purpose'''
adc2vol.py - takes in the *.adc_tas.cdp.raw file and makes the adc_vol.cdp.raw file
 
To average the data to convert from a higher sampling frequency to a lower frequency (i.e. from 4 samples per second to 1 sample per second).
 
'''Required Input Files'''
 
* <nowiki>*.conc.cdp.raw</nowiki>
 
'''Require Keyword Input'''
 
* points - the number of samples to average per new unit of sampling frequency.
 
'''Output files'''
 
<nowiki>*.conc.cdp.1Hz</nowiki>
 
'''Syntax'''
 
avgfields points=${freq} < ${namebase}.conc.cdp.raw > ${namebase}.conc.cdp.1Hz
 
'''Example'''
 
avgfields points=4 < 21_11_18_05_31_30.conc.cdp.raw > 21_11_18_05_31_30.conc.cdp.1Hz
 
==mergefield: *.adc.cdp.raw to *.adc_tas.cdp.raw (Level 4)==
 
'''Purpose'''
 
To merge true air speed data from the *.basic.raw file into the *.adc.cdp.raw to create the *.adc_tas.cdp_raw file.
 
'''Required Input Files'''
 
* <nowiki>*.basic.raw</nowiki>
* <nowiki>*.adc.cdp.raw</nowiki>
 
'''Required Keyword Input'''
 
* field - the column number(s) of the desired data.
* target - the column number(s) of the target locations for the desired data in the receiving file.
* tolerance - the time tolerance (in seconds) to be allowed for matching times within the receiving file.
 
'''Output File'''
 
* <nowiki>*.adc_tas.cdp.raw</nowiki>
 
'''Syntax'''
 
mergefield field=4 target=5 tolerance=0.02 fill=older file=${namebase}.basic.${basic_suff} < ${namebase}.adc.cdp.${adc_suff} > ${namebase}.adc_tas.cdp.raw
 
'''Example'''
 
mergefield field=4 target=5 tolerance=0.02 fill=older file=21_11_18_05_31_30.basic.raw < 21_11_18_05_31_30.adc.cdp.raw > 21_11_18_05_31_30.adc_tas.cdp.raw
 
==adc2vol.py (Level 4)==
 
'''Purpose'''
 
To calculate the ADC CDP particles per volume.
 
'''Required Input File'''
 
<nowiki>*.adc_tas.cdp.raw</nowiki>
 
'''Output File'''
 
<nowiki>*.adc_tas_vol.cdp.raw</nowiki>
 
'''Syntax'''
 
adp2vol.py filename
 
'''Example'''
 
adp2vol.py 15_08_08_14_57_48.adc_tas.cdp.raw

Latest revision as of 03:17, 2 December 2021

Processing DMT Cloud Droplet Probe (CDP) data from SEA M300 file

process_raw (Level 1)

Purpose

Extracts the diagnostic data and raw channel counts from the SEA M300 data acquisition system file (*.sea). The process_raw script creates the *.counts.cdp.raw file. If particle-by-particle (pbp) data are available, extract pbp data and save them to the *.adc.cdp.raw file.

Subroutines

The process_raw script calls the IDL subroutines:

  • process_WMI.pro
  • cdp.pro (called by process_WMI.pro)
  • create_cdp_header.pro (called by cdp.pro)
  • create_cdp_pbp_header.pro (called by cdp.pro)

Required Input Files

*.sea

Output Files

Among many other files, it generates:

  • *.counts.cdp.raw

Syntax 

process_raw <-d> <-v> <-vm> input_file

Example Syntax 

process_raw ${CoPAS_DIR}/ADTAE/TestData/FlightData/20140429_152103/PostProcessing/14_04_29_15_21_03.sea


cdp_counts2conc (Level 3)

Purpose

Calculates the concentration of cloud droplet particles based on the CDP channel counts and the true air speed. Also calculates bulk parameters such as liquid water content, mean diameter, etc.

Required Input Files

  • *.counts.cdp.raw
  • *.basic.raw

Optional Input Files

*.serialB.aimms.*

Optional Keywords

  • fast - skips long duration processing
  • final - causes output data to be tagged with 'Final' instead of 'Preliminary' for data type.
  • csh_error - errors are returned to the shell calling program instead of occurring in the IDL code.
  • tas - the true air speed [m/s] to use instead of values from the basic_file.

Output files

*.conc.cdp.raw

Syntax 

cdp_counts2conc <fast> <final> <csh_error> <tas = value> CDP_counts_file <basic_file> <serialB.aimms_file>

Examples 

cdp_counts2conc 21_11_18_05_31_30.counts.cdp.raw 21_11_18_05_31_30.basic.4Hz


avgfields: *.conc.cdp.raw to *.conc.cdp.1Hz (Level 3)

Purpose

To average the data to convert from a higher sampling frequency to a lower frequency (i.e. from 4 samples per second to 1 sample per second).

Required Input Files

  • *.conc.cdp.raw

Require Keyword Input

  • points - the number of samples to average per new unit of sampling frequency.

Output files

*.conc.cdp.1Hz

Syntax 

avgfields points=${freq} < ${namebase}.conc.cdp.raw > ${namebase}.conc.cdp.1Hz

Example 

avgfields points=4 < 21_11_18_05_31_30.conc.cdp.raw > 21_11_18_05_31_30.conc.cdp.1Hz

mergefield: *.adc.cdp.raw to *.adc_tas.cdp.raw (Level 4)

Purpose

To merge true air speed data from the *.basic.raw file into the *.adc.cdp.raw to create the *.adc_tas.cdp_raw file.

Required Input Files

  • *.basic.raw
  • *.adc.cdp.raw

Required Keyword Input

  • field - the column number(s) of the desired data.
  • target - the column number(s) of the target locations for the desired data in the receiving file.
  • tolerance - the time tolerance (in seconds) to be allowed for matching times within the receiving file.

Output File

  • *.adc_tas.cdp.raw

Syntax 

mergefield field=4 target=5 tolerance=0.02 fill=older file=${namebase}.basic.${basic_suff} < ${namebase}.adc.cdp.${adc_suff} > ${namebase}.adc_tas.cdp.raw

Example 

mergefield field=4 target=5 tolerance=0.02 fill=older file=21_11_18_05_31_30.basic.raw < 21_11_18_05_31_30.adc.cdp.raw > 21_11_18_05_31_30.adc_tas.cdp.raw

adc2vol.py (Level 4)

Purpose

To calculate the ADC CDP particles per volume.

Required Input File

*.adc_tas.cdp.raw

Output File

*.adc_tas_vol.cdp.raw

Syntax 

adp2vol.py filename

Example 

adp2vol.py 15_08_08_14_57_48.adc_tas.cdp.raw
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