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QC Procedures at INCOIS. TVS Udaya Bhaskar, CLIVAR(GSOP), 12 - 14 th 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.

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qc procedures at incois

QC Procedures at INCOIS

TVS Udaya Bhaskar,

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

type of data sets
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
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.
slide4

CTD Profiles

RTQC

(18 checks)

Assign quality flag

Objective

Analysis

Bulls eye

Others

Visual QC

(adjust flags)

Data-base

slide5

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
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
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.
slide8

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).

slide9

Depth 10 m

Outliers

Outliers

Latitude (deg)

slide10

Persian

Gulf

Red Sea

Outliers

BOB