Optimal Linear Fitting for Objective Determination of Ocean Mixed Layer Depth from Glider Profiles

A new optimal linear fitting method has been developed to determine mixed layer depth from profile data. This methodology includes three steps: 1) fitting the profile data from the first point near the surface to a depth using a linear polynomial, 2) computing the error ratio of absolute bias of few...

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Bibliographic Details
Main Authors: Chu, Peter C., Fan, Chenwu
Other Authors: NAVAL POSTGRADUATE SCHOOL MONTEREY CA DEPT OF OCEANOGRAPHY
Format: Text
Language:English
Published: 2010
Subjects:
Physical and Dynamic Oceanography
*MIXED LAYER(MARINE)
REPRINTS
RATIOS
TEMPERATURE
FITTINGS
POLYNOMIALS
GLIDERS
DATA BASES
PROFILES
North Atlantic
Online Access:http://www.dtic.mil/docs/citations/ADA535020
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA535020
Description
Summary:A new optimal linear fitting method has been developed to determine mixed layer depth from profile data. This methodology includes three steps: 1) fitting the profile data from the first point near the surface to a depth using a linear polynomial, 2) computing the error ratio of absolute bias of few data points below that depth versus the root-mean-square error of data points from the surface to that depth between observed and fitted data, and 3) finding the depth (i.e., the mixed layer depth) with maximum error ratio. Temperature profiles in the western North Atlantic Ocean over 14 November-15 December 2007, collected from two gliders (Seagliders) deployed by the Naval Oceanographic Office (NAVOCEANO), are used to demonstrate the capability of this method. The mean quality index (1.0 for perfect determination) for determining mixed layer depth is greater than 0.97, which is much higher than the critical value of 0.8 for well-defined mixed layer depth with that index. Published in Journal of Atmosphereic and Oceanic Technology, v00 p1-6, 2010. Supported in part by ONR and NOO.

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