QC%20Procedures%20at%20INCOIS - PowerPoint PPT Presentation
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QC%20Procedures%20at%20INCOIS
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Title: QC%20Procedures%20at%20INCOIS
1
QC Procedures at INCOIS
- TVS Udaya Bhaskar,
- CLIVAR(GSOP), 12 - 14th June, 2013
2
Type of Data sets
- Argo data from Indian and non-Indian floats.
- CTD data from Indian ORV.
- XBT/XCTD data from National Institute of
Oceanography (NIO), Goa. - Specific Project related data viz., ARMEX,
BOBMEX, ICRP etc. - Time series data also available.
- Moorings, Drifters, Current Meter Arrays, ADCPs
etc.
3
QC procedures
- For CTDs and Argo floats
- Automatic QC as proposed by ADMT
- Three-way-QC
- Automatic QC,
- QC based on Objective Analysis
- Visual Quality Control Tool
- Cluster based
- Latitude, Longitude based clusters
- For XBT/XCTDs
- QC is performed at NIO, Goa
- Planning to use Mquest by CSIRO.
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Visual Quality Control of Argo/CTD data
- Visual Quality Control Tools is used for QC of
Argo data. WOA05 is used in the background for
the QC process. - Profiles falling out of 3sigma are set as bad.
TS Profiles (Argo Floats, XBT, XCTD, CTD)
6
Quality control of oceanographic data sets based
on spatio-temporal clustering
- Clustering method with recent WOA09 climatology.
- Tested for all standard levels
- Sensitivity studies were done.
7
QC based on Lat/Lon Clusters
- Climatological mean and standard deviation are
used to build n-sided (dimensional) polygon. - Outliers are detected based by judging whether
the points are falling with in the polygon or out
side. - These are re-examined for any special events and
then injected into the database.
8
Good point
Outlier
The n-sided polygon is used for checking
outliers. Now the data points whose quality is to
checked are introduced and checked whether the
points fall with in the n-sided polygon (good
points) or outside the polygon (bad points).
9
Depth 10 m
Outliers
Outliers
Latitude (deg)
10
Persian Gulf
Red Sea
Outliers
BOB
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12
Thank You
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