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contributor authorGoes, Marlos;Babcock, Elizabeth;Bringas, Francis;Ortner, Peter;Goni, Gustavo
date accessioned2018-01-03T10:59:56Z
date available2018-01-03T10:59:56Z
date copyright7/10/2017 12:00:00 AM
date issued2017
identifier otherjtech-d-17-0024.1.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245845
description abstractAbstractExpendable bathythermograph (XBT) data provide one of the longest available records of upper-ocean temperature. However, temperature and depth biases in XBT data adversely affect estimates of long-term trends of ocean heat content and, to a lesser extent, estimates of volume and heat transport in the ocean. Several corrections have been proposed to overcome historical biases in XBT data, which rely on constantly monitoring these biases. This paper provides an analysis of data collected during three recent hydrographic cruises that utilized different types of probes, and examines methods to reduce temperature and depth biases by improving the thermistor calibration and reducing the mass variability of the XBT probes.The results obtained show that the use of individual thermistor calibration in XBT probes is the most effective calibration to decrease the thermal bias, improving the mean thermal bias to less than 0.02°C and its tolerance from 0.1° to 0.03°C. The temperature variance of probes with screened thermistors is significantly reduced by approximately 60% in comparison to standard probes. On the other hand, probes with a tighter weight tolerance did not show statistically significant reductions in the spread of depth biases, possibly because of the small sample size or the sensitivity of the depth accuracy to other causes affecting the analysis.
publisherAmerican Meteorological Society
titleThe Impact of Improved Thermistor Calibration on the Expendable Bathythermograph Profile Data
typeJournal Paper
journal volume34
journal issue9
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH-D-17-0024.1
journal fristpage1947
journal lastpage1961
treeJournal of Atmospheric and Oceanic Technology:;2017:;volume( 034 ):;issue: 009
contenttypeFulltext


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