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IMOS PROFILING CTD DATA IMPLEMENTATION OF AN AUTOMATED
POST-PROCESSING METHOD
Shaun Byrnes, Craig Steinberg, Greg Coleman, Cristian Munoz Mas, Felicity McAllister, Paul Rigby,
Guillaume Galibert, John Luetchford, Chris Bartlett, Juergen Zier
IMOS QC Summit
Hobart, 5-7 November 2014
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OBJECTIVE
NRS-BGC ANMN Standardised Profiling CTD Data Post-Processing Procedures v.1.5
SIMS, CSIRO, SARDI and AIMS. 08 March 2012.
• Automate the process of converting *.hex to *.cnv
• Reduce processing time
• Reduce risk of errors
• Build simple enough for users at all levels
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How does AUTOCTD fit the current process?
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SEABIRD CTD PROCESSING
Manual/Batch method
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SEABIRD CTD PROCESSING
Automated Method
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DATABASE ENTRY
- Toolbox reads form CTD
Data table
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CTD QC FILTERS
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QC DATA
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METADATA
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PROS AND CONS
Pros:
- Automated process which saves processing time and reduces risk of error when
applying IMOS settings.
- Reduced chance of processing using incorrect configuration files
- Multiple applications can be applied to a standardised method.
- Multiple users using same standardised method
Cons:
- More intensive process to change settings.
- Uses java routines to run SBE processing software.
- Some work required to initiate use such as setting up xmlcon file and sensor databases
and metadata source file.
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NEXT STEPS
• Further improvements and updates.
• Possible adoption by other IMOS CTD processing groups
as a pre-processing tool.