NDLI: Time-calibrated estimates of oceanographic profiles using empirical orthogonal functions and clustering

Content Provider	Springer Nature Link
Author	Hjelmervik, Karina Hjelmervik, Karl Thomas
Copyright Year	2014
Abstract	Oceanographic climatology is widely used in different applications, such as climate studies, ocean model validation and planning of naval operations. Conventional climatological estimates are based on historic measurements, typically by averaging the measurements and thereby smoothing local phenomena. Such phenomena are often local in time and space, but crucial to some applications. Here, we propose a new method to estimate time-calibrated oceanographic profiles based on combined historic and real-time measurements. The real-time measurements may, for instance, be SAR pictures or autonomous underwater vehicles providing temperature values at a limited set of depths. The method employs empirical orthogonal functions and clustering on a training data set in order to divide the ocean into climatological regions. The real-time measurements are first used to determine what climatological region is most representative. Secondly, an improved estimate is determined using an optimisation approach that minimises the difference between the real-time measurements and the final estimate.
Starting Page	655
Ending Page	665
Page Count	11
File Format	PDF
ISSN	16167341
Journal	Deutsche Hydrografische Zeitschrift
Volume Number	64
Issue Number	5
e-ISSN	16167228
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-04-04
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Climatology Validation Empirical orthogonal functions Clustering Oceanography Geophysics/Geodesy Atmospheric Sciences Fluid- and Aerodynamics Environmental Monitoring/Analysis
Content Type	Text
Resource Type	Article
Subject	Oceanography

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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