QC Procedures at INCOIS
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QC Procedures at INCOIS
TVS Udaya Bhaskar,
CLIVAR(GSOP), 12 - 14th June, 2013
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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.
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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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CTD Profiles
RTQC (18 checks)
Objective Analysis
Visual QC(adjust flags)
Bulls eye Others
Data-base
Assign quality flag
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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 3*sigma are set as bad.
T&S Profiles (Argo Floats, XBT, XCTD, CTD)
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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.
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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.
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The n-sided polygon is used for checking outliers. Now the data points whosequality 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).
Good point
Outlier
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Outliers
Outliers
Depth 10 m
Latitude (deg)
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BOB
Persian
Gulf
Red Sea
Outliers
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Thank You