User`s manual

Manual revision 016 Appendix V: Real-Time Data Correction Algorithms SBE 49
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Appendix V:
Real-Time Data Correction Algorithms
Aligning, filtering, and correcting for conductivity cell thermal mass in post-
processing allows you to make adjustments to the measured data before
calculating derived parameters. SBE Data Processing, part of our Seasoft suite,
can perform this processing on recorded data, if a complete C, T, and P time
series is recorded. However, the FastCAT, which samples and transmits data at
16 Hz, is frequently integrated by the customer with an AUV or ROV. The
AUV/ROV may record data on command, with uneven time intervals between
each recorded measurement. The lack of a true time series from the FastCAT for
these applications prevents aligning, filtering, and correcting for cell thermal
mass in post-processing.
Therefore, the FastCAT can be programmed to process data in real-time if
sampling autonomously. This provides T, C, and P output that is already
aligned, filtered, and corrected for cell thermal mass, and also provides
calculated and output salinity and sound velocity (if applicable) based on these
corrected values.
Cell thermal mass corrections should not be applied to freshwater data. It
can give bad results, due to the way the derivative dc/dT is calculated in
regions where conductivity changes are small. Currently, the SBE 49
firmware does not permit you to apply just aligning and filtering, without also
applying cell thermal mass corrections.
Aligning Data
The FastCAT aligns temperature data in time, relative to conductivity and
pressure. This ensures that calculations of salinity, sound velocity, and other
derived variables are made using measurements from the same parcel of water.
There are three principal causes of misalignment of CTD measurements:
physical misalignment of the sensors in depth
inherent time delay (time constants) of the sensor responses
water transit time delay in the pumped plumbing line - the time it takes
the parcel of water to go through the plumbing to each sensor (or, for free-
flushing sensors, the corresponding flushing delay, which depends on
profiling speed)
In the FastCAT, temperature data is usually misaligned with respect to
conductivity and pressure. Advancing temperature relative to conductivity and
pressure can compensate. The recommended temperature advance value for a
typical FastCAT is 0.0625 seconds, but the user can select a value ranging
from 0 to 0.125 seconds. When measurements are properly aligned, salinity
spiking (and density) errors are minimized.
Note:
Real-time processing
recommendations are summarized
in Real-Time Data Corrections
in Section 4: Deploying and
Operating FastCAT.