Exponential leap-forward gradient scheme for determining the isothermal layer depth from profile data

2017 ◽  
Vol 73 (4) ◽  
pp. 503-526 ◽  
Author(s):  
Peter C. Chu ◽  
Chenwu Fan
2015 ◽  
Vol 45 (11) ◽  
pp. 2790-2805 ◽  
Author(s):  
Shota Katsura ◽  
Eitarou Oka ◽  
Kanako Sato

AbstractSeasonal and interannual variations of the barrier layer (BL) and its formation mechanism in the subtropical North and South Pacific were investigated by using raw and gridded Argo profiling float data and various surface flux data in 2003–12 and hydrographic section data from the World Ocean Circulation Experiment Hydrographic Programme. BLs detected by raw Argo profiles, which existed within the sea surface salinity (SSS) front located on the equator side of SSS maxima, were thickest and most frequent in winter and had a temporal scale shorter than 10 days, indicating their transient nature. Surface and subsurface processes for the BL formation suggested by previous studies were evaluated. Poleward Ekman advection of fresher water was dominant as the surface freshening process but cannot explain the observed seasonal variations of the BL. Subsurface equatorward intrusion of high-salinity tropical water was too deep to produce salinity stratification within isothermal layers. These results strongly suggest that BLs in the subtropical Pacific are formed mainly through tilting of the SSS front due to the poleward Ekman flow near the sea surface and the equatorward geostrophic flow in the subsurface. This idea is supported by the dominant contribution of the meridional SSS gradient to the meridional sea surface density gradient within the SSS front and the correspondence between the seasonal variations of the BL and isothermal layer depth. On an interannual time scale, the winter BL thickness in the North and South Pacific was related to the Pacific decadal oscillation and the El Niño–Southern Oscillation, respectively, through the intensity of trade winds controlling isothermal layer depth.


2010 ◽  
Vol 27 (11) ◽  
pp. 1893-1898 ◽  
Author(s):  
Peter C. Chu ◽  
Chenwu Fan

Abstract 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–5 December 2007, collected from two gliders (Seagliders) deployed by the Naval Oceanographic Office, 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.


Data Series ◽  
10.3133/ds724 ◽  
2012 ◽  
Author(s):  
Arnell S. Forde ◽  
Shawn V. Dadisman ◽  
Jack G. Kindinger ◽  
Jennifer L. Miselis ◽  
Dana S. Wiese ◽  
...  

Data Series ◽  
10.3133/ds611 ◽  
2011 ◽  
Author(s):  
Arnell S. Forde ◽  
Shawn V. Dadisman ◽  
James G. Flocks ◽  
Dana S. Wiese ◽  
Nancy T. DeWitt ◽  
...  

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