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

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

How does AUTOCTD fit the current process?

SEABIRD CTD PROCESSING

Manual/Batch method

SEABIRD CTD PROCESSING

Automated Method

DATABASE ENTRY

- Toolbox reads form CTD

Data table

CTD QC FILTERS

QC DATA

METADATA

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.

NEXT STEPS

• Further improvements and updates.

• Possible adoption by other IMOS CTD processing groups

as a pre-processing tool.