QC Procedures at INCOIS

TVS Udaya Bhaskar,

CLIVAR(GSOP), 12 - 14th June, 2013

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.

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.

CTD Profiles

RTQC (18 checks)

Objective Analysis

Visual QC(adjust flags)

Bulls eye Others

Data-base

Assign quality flag

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)

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.

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.

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

Outliers

Outliers

Depth 10 m

Latitude (deg)

BOB

Persian

Gulf

Red Sea

Outliers

Thank You