19plus - Sea-Bird Electronics

SBE Data Processing
• The importance of accurate data
• Potential errors in CTD data
• How SBE instruments are designed to minimize
errors
• Why processing CTD data improves data quality
• Detailed lessons on SBE Data Processing
Why worry about
Absolute Accuracy in Sensors?
• In oceanography, we measure physical quantities to
calculate many parameters necessary to analyze the
ocean
– Thermodynamic properties are needed in ocean/climate
models
• Calculated parameters (salinity) rely on accurate
measurement of temperature, conductivity, and
pressure
• Small errors in original measurements can lead to
large errors in calculated parameters
– These small errors can lead to big errors in data analysis
and interpretations
Types of Errors in CTD Data
• Dynamic Errors
– Errors incurred while sampling on moving platforms or on
moorings where conditions are changing rapidly
– Response time of sensors
• Static Errors (discussed already)
– Initial and post-deployment calibration accuracy
– Reported on calibration and specification sheets
• Sensor Drift Characteristics (discussed already)
– Sometimes reported on specification sheet
– Does not address fouling drift
Dynamic Errors in Temperature
• Response time of sensor to changing condition
• Temperature response time largely determined by
physical size and construction.
– Response time for profiling CTDs
• 0.070 sec (SBE 9-11plus and 25plus)
• 0.5 sec (SBE 19plus)
– Response time for moored CTDs 0.5 sec
• Corrected in data processing
Dynamic Errors in Conductivity
• Response time of sensor to changing temperature AND
salinity
– Depends on flow speed through cell
– Depends on thermal mass of materials that make up sensor
• For both high and low accuracy (0.1 to 0.002 PSU),
response time and thermal lag errors can be significant
• On free-flushed sensors where flow rates are always
changing, these errors cannot be avoided or corrected
• Only on flow-controlled CTDs can these errors be
corrected for
Dynamic Errors in Salinity:
1. Not Sampling Same Water Parcel
• T and C sensors
measuring different
parcels of water
Example of Non-plumbed
SBE sensors
Other Company’s
T and C sensors
COND
CTD Tilted
t1
C
O
N
D
t1
t0
t0
T
E
Physical
M Misalignment
P
TEMP
Dynamic Errors in Salinity:
2. Mismatched Response Times
T
C
S
Pressure
• Non-Equal
response times
between T and C
• T and C used to
compute salinity
• This causes
“spiking”
0 db
C leads T 0.084 db
Dynamic Errors in Salinity:
3. Temperature Error caused by
Thermal Mass of Conductivity Cell
Conductivity measurement is
very sensitive to thermal mass
of the cell
– 90% of the C signal is
dependent on temperature
Image of a cold cup that changes color
after putting hot coffee into it
Time it takes to change the
temperature to new value is the
thermal mass lag
Rough Seas Can Affect Data
Quality
Sea-Bird Solution to
Reducing Dynamic Errors
1. Make measurements
on the same water
parcel at stations along
a pump-controlled flow
path
2. This allows us to postprocess data to
significantly reduce
dynamic errors
Time 4
Time 3
Time 2
Time 1
Time 5
Flow Control
• Forces sensors to measure same water parcel, but at different times
• Can correct for differences in time each sensor takes its reading
because we have constant flow (speed) and sample rate
• Provides constant response time for sensors that are flow dependent
(conductivity and oxygen)
• Constant flow and sample rate allows for response time adjustments
between sensors (similar to time of sample adjustment)
• Reduces thermal mass amplitude and lag PLUS allows us to correct
for it
• Can separate alignment issues from ship heave
• By adjusting flow speed, we can better match response times of
sensors (T and C) on SBE 9plus
- Lag is fixed and can be removed with high precision (SBE 19plus,
19plus V2, 25, 25plus)
Dynamic Processing Modules
• All of the processing modules
are explained in the manual
• Default parameters for each
instrument are provided in the
manual
Key SBE Data Processing Modules
for Profiling CTDs
• Data Conversion converts data from hexadecimal to engineering units
•
•
Wild Edit or (Median) Filter to remove outliers
Align CTD coordinates measurements of T, C and P on same parcel of water
–
Other variables as well as needed
• Filter refines response time of sensors and smoothes digital noise in Pressure data
• Loop Edit (Optional) reduces ship heave effects by marking scans “badflag” if the
•
•
•
•
•
•
scan fails the minimum velocity criteria set by the user
Cell Thermal Mass corrects conductivity sensor thermal lag error for a given flow
rate determined by pump speed or estimated based on descent rate
Derive takes the newly aligned and corrected independent variables (T, C, P,
Oxvolts) and computes the dependent variables (Salinity, Density, Oxygen
Concentration)
Bin Average statistically averages data blocks into bins that are evenly spaced or
interpolated pressure, depth, scan count or time blocks
Split separates up and down casts
ASCII In transforms an ASCII Text file with columns of data into a SBE formatted
.cnv (converted) file for processing and plotting in SBE software
ASCII Out transforms a SBE formatted file and outputs a simple column file of data
in text format…this can be used in Excel and other non-SBE programs
Converting Dependent Quantities
vs. Raw Independent Quantities
• Salinity and Oxygen are computed quantities
– They are what we call Dependent Variables as they rely on
Independent Variables (T,C, P, OXVOLTS)
• For successful computation of Dependent Variables, inputs need to
be accurately measured AND accurately coordinated on a point in
space, and secondarily coordinated in time response
• If these Independent Variables are measured or coordinated
incorrectly, this will have ripple effect in other computed quantities
– density, buoyancy frequency, etc.
For Example:
How to get salinity with only 10% of signal
• Electrical measurement of conductivity
– 90% of signal from temperature
– 10% from salinity based on conducting ion content of
seawater
• 1% error in Temperature causes 10% error in Salinity
• Always compute Salinity AFTER we process
Temperature, Conductivity, and Pressure
Activity: Data Conversion
Choose one data file
• Use SBE Data Processing
to convert data from
SBE 9plus, in preparation
for further processing; see
notes for instructions
• Or, if you use an
SBE 19plus CTD, process
data from SBE 19plus; see
notes for instructions
Filtering Data for Matching
TC Sensor Time Responses
• Conductivity cell has a time constant
(Tau) that depends on pumping rate
– Temperature response is not flow dependent
• SBE 9plus pump and TC duct controls
Tau of C to match Tau of T
– No Filtering required
• SBE 25 and 25plus pump is slower than
pump used with 9plus
– Filtering T and C optional for SBE 25
– Filtering T and C recommended for
SBE 25plus
• Tau for SBE 19plus and 19plus V2
T and C are not as well matched; require
filtering of T and C
Filtering Pressure to
Remove Digital Noise
• Filtering pressure data
removes digitization
noise
• Filter pressure data if:
– You are going to use
Loop Edit to remove
data artifacts, and/or
– You are interested in
fine scale in SBE 9plus
Example: Filtering Pressure
Pressure filtered with
0.15-sec time constant
Raw data
120
21.0
TEMPERATURE
26.0
120
S
21.0
T
TEMPERATURE
S
P
26.0
T
P
dbars
dbars
170
170
34.95
SALINITY
35.15
34.95
SALINITY
35.15
Filtering Converted Data
Filter Time Constants
• SBE 9plus
– Filter A 0.15 sec for P
• SBE 25plus
– Filter A 0.1 sec for C and T
– Filter B 0.25 sec for P
• SBE 25 (optional)
– Filter A 0.1 sec for C and T
– Filter B 0.5 sec for P
• SBE 19plus or 19plus V2
– Filter A 0.5 sec for C and T
– Filter B 1.0 sec for P
Sensor Alignments
• Distance between sensors
P-T
P-T to C-Star Transmissometer
• Time of travel of water parcel
through plumbing
P-T to C
P-T to DO
• Align big discrepancies in
response time (i.e., DO)
Symptoms of
T and C Misalignment in Data
0 db
0 db
T
C
S
Pressure
• Evidence of mismatch
seen in salinity spikes
and density inversions
• Correction via pressure
shifting of conductivity
T Step = 0.05 C; C Step = 0.015 S/m
Pressure Alignment Perfect
0 db
T
S
S
Pressure
C
Pressure
T
C
C lags T 0.084 db
C leads T 0.084 db
Symptoms of
Misalignment in Data
• Mismatch of up and
down cast values with
depth due to:
– Slow response times
– Distance between sensors
(as shown here)
Advancing Data in Time to
Remove Misalignment
• Alignment on T and C is done
automatically in 11plus
Deck Box
• Alignment can change from
factory default due to changes
in plumbing that increase or
decrease pumping speed
• Use Align CTD module to
match temperature and
conductivity data streams in
post processing
– On 19plus and 25plus CTDs
How Do I Know How Much to
Advance or Slow a Data Channel?
1. Use factory defaults
–
Sea-Bird has done tests for standard configurations that
provide default alignments
2. By knowing the flow rate and path distance
between sensors, compute a time delay
3. By looking at your data
– Find a spot in your data with a sharp
salinity shift and/or unrealistic spiking
– Experiment with alignment values to minimize salinity spiking
Example Data From the
Faroe Islands
Sigma-t
T
S
Descent
rate
Subset of Example
ship heave
T C mismatch
Sigma-t
S
Descent
rate
Activity: Align and Derive
Choose one data file
• Use SBE Data Processing to align data
from SBE 9plus, derive calculated
parameters, and plot results; see notes
for instructions
• If you use SBE 19plus, repeat process
for data from SBE 19plus; see notes for
instructions
Note: You have already run Data
Conversion on the file you will Align.
The 19plus adds a Filtering Step…
After you Align the data, you will Derive
Salinity to check on spiking in Sea Plot
Alignment of T and C
Conductivity Advanced 1 Scan (0.042s)
Original Data
Density, 2 [sigma-t, Kg/m^3 ]
Density, 2 [sigma-t, Kg/m^3 ]
27.900 27.925 27.950 27.975 28.000 28.025 28.050 28.075 28.100
27.900 27.925 27.950 27.975 28.000 28.025 28.050 28.075 28.100
500
500
525
525
550
550
575
625
density
575
salinity
600
Pressure, Digiquartz [db]
Pressure, Digiquartz [db]
600
salinity
625
density
650
650
675
675
700
700
34.750 34.775 34.800 34.825 34.850 34.875 34.900 34.925 34.950
34.750 34.775 34.800 34.825 34.850 34.875 34.900 34.925 34.950
Salinity, 2 [PSU]
Salinity, 2 [PSU]
Conductivity Advanced 2 Scans (0.084s)
Density, 2 [sigma-t, Kg/m^3 ]
Conductivity Advanced 3 Scans (0.125s)
Density, 2 [sigma-t, Kg/m^3 ]
27.900 27.925 27.950 27.975 28.000 28.025 28.050 28.075 28.100
27.900 27.925 27.950 27.975 28.000 28.025 28.050 28.075 28.100
500
500
525
525
550
550
575
575
Pressure, Digiquartz [db]
625
density
600
Pressure, Digiquartz [db]
salinity
600
625
salinity
density
650
650
675
675
700
700
34.750 34.775 34.800 34.825 34.850 34.875 34.900 34.925 34.950
Salinity, 2 [PSU]
34.750 34.775 34.800 34.825 34.850 34.875 34.900 34.925 34.950
Salinity, 2 [PSU]
Example of T C Alignment for
SBE 19plus
Dissolved O2 Alignment
• Sensor time constants ~ 2 - 5 seconds,
depending on temperature
• Plumbing delay < 2 seconds,
depending on location of sensor in flow path
• Delays add for ~ 4 seconds total
• Hysteresis in DO profiles is caused by
plumbing delays, temperature mismatch,
and sensor response time
– Recommend corrections for
deep ocean pressure > 1000 dbar
Hysteresis in
Dissolved Oxygen Profiles
1.5
0
2.0
Oxygen, SBE 43 [ml/l]
2.5
4.0
3.0
3.5
Oxygen, SBE 43 [ml/l]
4.5
2.00 2.25 2.50 2.75 3.00 3.25 3.50 3.75 4.00 4.25 4.50
5.0
0
10
50
20
100
40
T
50
DO
60
Pressure, Strain Gauge [db]
Pressure, Digiquartz [db]
30
150
T
DO
200
70
80
250
90
300
100
17.5
20.0
22.5
25.0
27.5
Temperature [ITS-90, deg C]
30.0
15.0
17.5
27.5
20.0
22.5
25.0
Temperature [ITS-90, deg C]
30.0
T vs DO plot
27
27.5
26
25
25.0
Temperature [ITS-90, deg C]
Temperature [ITS-90, deg C]
24
23
22.5
22
21
20.0
20
19
17.5
18
2.0
2.5
3.0
3.5
4.0
Oxygen, SBE 43 [ml/l]
4.5
5.0
15.0
2.0
2.5
3.0
3.5
4.0
Oxygen, SBE 43 [ml/l]
4.5
5.0
Activity: Align and Derive DO
Choose one data file
• Use SBE Data Processing to
convert data from SBE 9plus,
align oxygen, derive oxygen, and
plot results; see notes for
instructions
• If you use a 19plus, process data
from SBE 19plus; see notes for
instructions
Run Data Conversion
Run Align CTD 3 times on converted file
Run Derive on the 3 aligned files
Look at data in Sea Plot
Dissolved Oxygen Advanced 0, 2,
4, 6 Seconds Relative to Pressure
No advance
2 sec
advance
4 sec
advance
6 sec
advance
Effect of Conductivity
Cell Thermal Mass
• Glass conductivity cell stores heat
• A warm cell warms water moving through it
– Will read warm of correct (High)
• A cold cell cools water moving through it
– Will read cold of correct (Low)
• Water in cell is a different temperature than the
thermometer measured a moment earlier
• When salinity is computed, it will be in error
Cell Thermal Mass Example
Upcast
Downcast
T
S
SBE 9plus Salinity,
with and without CTM Correction
Green Salinity processed with Cell
Thermal Mass (CTM) correction;
Black Salinity unprocessed
Corresponding Temperature (green)
and descent rate (blue)
~+0.02 psu
~0.8 ˚C step
Note: Downcast only,
Data not LoopEdited
Dz/dt ~ 0.40 m/s
Removing Effect of
Conductivity Cell Thermal Mass
Activity: Remove Conductivity
Cell Thermal Mass Effect
• Use SBE Data Processing to
convert data from SBE 9plus,
apply cell thermal mass
correction, derive salinity,
and plot results;
see notes for instructions
Run Data Conversion
Skip the Align CTD step for now
Run Cell Thermal Mass on converted
file, append C to filename
Run Derive on CTM file and original
Converted file
Plot data in Sea Plot to see what
CTM processing did
Cast Corrected for
Cell Thermal Mass
Corrected
How to Remove Ship Heave
Effects on CTD Data
• Data errors caused by
CTD profiling
reversals are flagged
by scan line
• We can choose to omit
these “flagged” data
from averaging and
plots
Data Artifacts Caused by the
Underwater Package
Rapid Descent
• Ship heave causes
underwater
package to loop
through water
• Accelerations and
decelerations
caused by ship
heave cause water
entrained within
package to blow
by sensors
Ship Heave Slows
Descent
Rapid Descent
Resumes
Turbulent Wake
Wake is
Shed
Downward
Sensor Path Goes
Through Shed Wake
Ship Heave Effects
Enlargement of plot at left
T
S
Descent
rate
Descent
rate
T
S
Salinity Spiking due to Ship Heave
Profiling through Temperature Gradient
Removing Package-Induced
Data Artifacts
• Data errors introduced this way must be
flagged in the data file or deleted
– There is no fix
• Loop Edit flags scans of data that
experienced reversals or loops caused by
ship heave
• Wild Edit removes data that fall outside of
user-specified limits
Removing Package-Induced
Data Artifacts: Loop Edit
Removing Package-Induced
Data Artifacts: Wild Edit
Activity: Remove Loops
Use SBE Data Processing
• Run Data Conversion
– Convert data from SBE 9plus
• Run Filter on converted file
– Filter pressure
• Run Loop Edit on convertedfiltered file
– Remove loops
• Run Sea Plot on convertedfiltered-loopedited results
See notes for instructions
Removing PackageInduced Data Artifacts,
Loop Edit
Original
Edit by fixed speed (.25m/s)
Edit by % mean speed (20%)
Ancillary Data Processing
• Data editing
– Section
• Retrieves a portion of a cast
– Split
• Separates upcast from downcast
• Filtering
– Window Filter
• Offers a variety of window shapes
Bin Averaging
• Reduces size of a data set by statistically
estimating data values at even intervals
(e.g., every meter or 10 meters)
• Can work in depth (meters),
pressure (decibars), time, or by scan
• Can bin average upcast, downcast, or both
– If bin averaging upcast and downcast, keeps upcast
bins and downcast bins separate
• The surface bin is treated separately
Bin Averaging Protocol:
Pressure Interpolated
• A linear estimate of variable Xi at bin pressure Pi
( Xc − Xp) * (Pi − Pp )
Xi =
+ Xp
( Pc − Pp )
Pp =average pressure of previous bin
Xp =average value of variable in previous bin
Xc =average value of variable in current bin
Pc =average pressure of current bin
Pi = center value for pressure in current bin
surface = 0 db
Minimum first bin =
bin size - (bin size/2) = 5 db
First bin
Bin size=10 db
Sum and average all data within bin,
then interpolate to calculate value of
variable at center of bin
Center (target) first bin =
bin size = 10 db
Maximum first bin =
bin size + (bin size/2) = 15 db
Bin Average Protocol:
Pressure, Not Interpolated
• Data within a bin is averaged by summing
and dividing by number of points within bin
surface = 0 db
Minimum first bin =
bin size - (bin size/2) = 5 db
First bin
Bin size=10 db
Sum and average
all data within bin
Center (target) first bin =
bin size = 10 db
Maximum first bin =
bin size + (bin size/2) = 15 db
The Surface Bin
• Surface bin constrained by user data entries:
minimum, maximum, and assigned pressure
or depth
Surface bin
Bin size=3 db
minimum surface bin = 0 db
target surface bin = 0 db
maximum surface bin = 3 db
Minimum first bin =
bin size - (bin size/2) = 5 db
First bin
Bin size=10 db
Center (target) first bin =
bin size=10 db
Maximum first bin =
bin size + (bin size/2) = 15 db
File Selection and Data Setup
Bin Average: Output Data
# binavg_bintype = meters
# binavg_binsize = 1
# binavg_excl_bad_scans = yes
# binavg_skipover = 0
# binavg_surface_bin = no, min = 0.000, max = 5.000, value = 2.500
# file_type = ascii
*END*
1.000 24.9124 35.2455
100 0.0000e+00
2.000 24.9582 35.2463
90 0.0000e+00
3.000 25.0029 35.2477
36 0.0000e+00
Activity: Bin Average Data
Choose one data file
• Use SBE Data Processing
to bin average converted
data from SBE 9plus; see
notes for instructions
• Or, if you use SBE 19plus,
process data from
SBE 19plus; see notes
for instructions
Activity: Bin Average Data
Raw data converted,
but no additional processing
Same data bin averaged
(downcast only)
Data Processing Notes
• Best data is collected at highest rate
instrument is capable of
• Data should not be reprocessed
• Calculation of derived parameters and bin
averaging should be done last
Processing Steps: SBE 9-11plus Data
•
•
•
•
•
•
•
Data Conversion
– Output up /downcasts of all parameters
– Only process independent parameters (T,C,P, OXVOLTS, Modulo Errors, etc.)
– Output converted variables (salinity, DO concentration) if comparing to water samples
Align CTD
– SBE 11plus Deck Box usually advances primary C +0.073 sec, sometimes secondary C
– Align Dissolved Oxygen (DO) (2-3 sec) and other sensor data accordingly in post processing
Filter
– Only if continuous time series and no Pressure outliers
– Filter Pressure at +0.15 sec
Loop Edit
– Only if ship heave a problem (if you see loops or high standard deviations in descent rate)
– Use minimum fall speed from CTD descent rate plots
Cell Thermal Mass
– ALWAYS apply this correction in Saltwater applications on moving platforms (not moored)
– Do NOT apply this correction in Freshwater applications
– Parameters: Alpha = 0.03 and Tau = 7 sec
Derive
– Compute Salinity, DO concentration, and other dependent variables (Density, Specific Conductance, etc.)
Bin Average
– Average data into depth, time, or pressure bins AFTER DERIVING computed variables
Processing Steps: SBE 19plus Data
•
•
•
•
•
•
•
Data Conversion
– Output up /downcasts of all parameters.
– Only process on independent parameters (T,C,P, OXVOLTS, etc.)
– Output converted variables (salinity, DO concentration) if comparing to water samples
Align CTD
– Advance Temperature +0.5 sec, Conductivity 0-0.1 sec, and Dissolved Oxygen Voltage 3-5 sec
Filter
– Only if continuous time series and no outliers
– Filter Pressure at +1.0 sec, and Temperature and Conductivity at +0.5 sec
Loop Edit
– Only if ship heave a problem (if you see loops or high standard deviations in descent rate)
– Use minimum fall speed from CTD descent rate plots
Cell Thermal Mass
– ALWAYS apply this correction in Saltwater applications on moving platforms (not moored)
– Do NOT apply this correction in Freshwater applications
– Parameters: Alpha = 0.04 and Tau = 8 sec
Derive
– Compute Salinity, DO concentration, and other dependent variables (Density, Specific Conductance, etc.)
Bin Average
– Average data into depth, time, or pressure bins AFTER DERIVING computed variables
Processing Steps: SBE 25plus Data
•
•
•
•
•
•
•
Data Conversion
– Output up /downcasts of all parameters.
– Only process on independent parameters (T,C,P, OXVOLTS, etc.)
– Output converted variables (salinity, DO concentration) if comparing to water samples
Align CTD
– Advance Conductivity +0.1 sec and Dissolved Oxygen (DO) Voltage 3-5 sec
Filter
– Only if continuous time series and no P outliers
– Filter Pressure at +0.5 sec
Loop Edit
– Only if ship heave a problem (if you see loops or high standard deviations in descent rate)
– Use minimum fall speed from CTD descent rate plots
Cell Thermal Mass
– ALWAYS apply this correction in Saltwater applications on moving platforms (not moored)
– Do NOT apply this correction in Freshwater applications
– Parameters: Alpha = 0.04 and Tau = 8 sec
Derive
– Compute Salinity, DO concentration, and other dependent variables (Density, Specific Conductance, etc.)
Bin Average
– Average data into depth, time, or pressure bins AFTER DERIVING computed variables
Batch Processing
• Batch processing frees you from processing
each cast individually
• Batch processing is done from a command
line prompt
– Win2000/XP run “command” from Start -> Run
dialog gives you an MSDOS window
– Win95/98 use an MSDOS window
– Run SBEBatch directly from Start -> Run dialog
• Format for sbebatch is:
– sbebatch filename parameters
Batch Processing
• Batch processing uses an application that runs other
applications (i.e., data processing applications)
• You may use the Windows Scripting Host or an
application Sea-Bird provides, SBEBatch
• The applications that the batch processor runs are
listed in a text file that you make with a text editor
like Notepad
– A list of applications are shown in your notes
• SBEBatch reads each line of the text file and runs
each application in turn
Batch Processing
• Each line of your batch file contains
– Name of the application
– Name of the files to operate on
– Any additional parameters needed to do the job
• Parameters are denoted by the ‘/’ character and an
identifier; a table of parameters is shown in your notes
• For example, a batch processing file that runs
Data Conversion on 1 data file looks like:
DatCnv /iC:\MyData.dat /cC:\MyCTD.con
- Input file is C:\MyData.dat, designated by /i
- Configuration file is C:\MyCTD.con, designated by /c
- This will cause Data Conversion to use last .psa file,
substituting .dat and .con file from batch file for files
specified in .psa file, and create MyData.cnv
Batch Processing Script
• To process all the files in a folder use a
wildcard: the ‘*’ character
• For example, a batch processing file that runs
Data Conversion on all data files in a folder
looks like:
datcnv /iC:\Data\*.dat /cC:\Data\MyCTD.con
- Input files are all .dat files in C:\Data\
- Configuration file is C:\Data\MyCTD.con
Running SBEBatch
• SBEBatch is run from the command line
• Following sbebatch is the name of the batch
file that SBEBatch will open and execute
• For example: sbebatch c:\MyBatch.txt
- Causes SBEBatch to open MyBatch.txt
and run the applications a line at a time
Batch Processing Script
• Remember that the format for running SBEbatch is:
sbebatch filename parameters
• You can operate on files in different folders with the
same batch file by using command line parameters
• These are entered after the batch file name and are
denoted by the ‘%’ character and a number
– The first command line parameter is %1,
the second is %2, etc.
• Your batch file must have entries that use the
‘%’ parameters
Batch Processing Script
• For example, a batch file that has this line in C:\MyBatch.txt
DatCnv /i%1\*.dat /c%1\MyCTD.con
Executed with this command line
SBEBatch C:\MyBatch.txt C:\Data
(C:\Data is the %1 parameter)
Will cause Data Conversion to be run like this:
DatCnv /iC:\Data\*.dat /cC:\Data\MyCTD.con
All the .dat files in C:\Data will be converted
• For the same batch file, if the command line is
SBEBatch C:\MyBatch.txt C:\NewData
All the .dat files in C:\NewData will be converted
Activity: Batch Process Data
Do on your own
• Use SBE Data Processing to batch process data a large number
of data files from one CTD; see notes for instructions