Quality control of oceanographic in situ data from Argo floats using climatological convex hulls

Udaya Bhaskar, T.V.S.; Venkat Shesu, R.; Boyer, Timothy P.; Pattabhi Rama Rao, E.

doi:10.1016/j.mex.2017.11.007

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Quality control of oceanographic in situ data from Argo floats using climatological convex hulls

2017
By Udaya Bhaskar, T.V.S. ; Venkat Shesu, R. ; Boyer, Timothy P. ; ...
Source: MethodsX, 4, 469-479

[PDF-1.80 MB]

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Journal Title:

MethodsX
Personal Author:

Udaya Bhaskar, T.V.S. ; Venkat Shesu, R. ; Boyer, Timothy P. ; Pattabhi Rama Rao, E.

Udaya Bhaskar, T.V.S. ; Venkat Shesu, R. ; Boyer, Timothy P. ; Pattabhi Rama Rao, E. Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; NCEI (National Centers for Environmental Information)

NESDIS (National Environmental Satellite, Data, and Information Service) ; NCEI (National Centers for Environmental Information) Less -
Description:

A new method of identifying anomalous oceanic temperature and salinity (T/S) data from Argo profiling floats is proposed. The proposed method uses World Ocean Database 2013 climatology to classify good against anomalous data by using convex hulls. An n-sided polygon (convex hull) with least area encompassing all the climatological points is constructed using Jarvis March algorithm. Subsequently Points In Polygon (PIP) principle 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 associated with the oceanographic data viz., spikes, bias, sensor drifts etc can be identified using this method. Though demonstrated for Argo data it can be applied to any oceanographic data.
Keywords:

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Oceanography Ocean Temperature Outliers (Statistics) Argo Floats Classification Clinical Biochemistry Convex Hulls In Situ Data Medical Laboratory Technology Outliers Point In Polygon
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MethodsX, 4, 469-479
DOI:

https://doi.org/10.1016/j.mex.2017.11.007
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Journal Article
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urn:sha256:c84c6ea8d52e5356b83c0588fce48fa41819dee3733d3f03e19e8e6d6273c85f
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Quality control of oceanographic in situ data from Argo floats using climatological convex hulls

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