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Argo data quality control based on climatological convex hulls

Udaya Bhaskar, TVS and Shesu, RV and Boyer, Timothy P and Rama Rao, EP (2016) Argo data quality control based on climatological convex hulls. Technical Report. INCOIS, Hyderabad.

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This report discusses a new method of identifying erroneous data in temperature and salinity (T/S) profiles measured by Argo profiling floats. The proposed method uses World Ocean Atlas 2009 (WOA09) climatology to classify good against bad data. An 'n' sided polygon (convex hull) with least area encompassing all the points is constructed based on the Jarvis March algorithm. The mean and standard deviation fields of temperature and salinity obtained from WOA09 corresponding to each standard depth are used for building these polygons. Subsequently Points In Polygon (PIP) principle which is implemented using ray casting algorithm is used to classify the T/S data as within or without acceptable bounds. It is observed that various types of anomalies in the Argo profile data viz., spikes, bias, sensor drifts etc can be identified using this method.

Item Type: Monograph (Technical Report)
Additional Information: Copyright of this report belongs to INCOIS
Uncontrolled Keywords: Argo, Quality Control, Outliers, Convex Hulls, Point in Polygon
Subjects: Oceanography > oceanography
Depositing User: INCOIS Library
Date Deposited: 18 Feb 2016 09:08
Last Modified: 18 Feb 2016 09:08

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