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Examining the influence of recording system on the pure temperature error in XBT data

TitleExamining the influence of recording system on the pure temperature error in XBT data
Publication TypeArticolo su Rivista peer-reviewed
Year of Publication2021
AuthorsTan, Z., Reseghetti Franco, Abraham J., Cowley R., Chen K., Zhu J., Zhang B., and Cheng L.
JournalJournal of Atmospheric and Oceanic Technology
Volume38
Pagination759-776
ISSN07390572
KeywordsClimatology, Climatology study, Correction schemes, Errors, Expendable bathythermographs, Manufacturing time, Recording instruments, Recording systems, Resistance temperature, Temperature error, Temperature measurement, Temporal distribution
Abstract

Expendable bathythermographs (XBTs) have been widely deployed for ocean monitoring since the late 1960s. Improving the quality of XBT data is a vital task in climatology. Many factors (e.g., temperature, probe type, and manufacturing time) have been identified as major influences ofXBTsystematic bias. In addition, the recording system (RS) has long been suspected as another factor. However, this factor has not been taken into account in any global XBT correction schemes, partly because its impact is poorly understood. Here, based on analysis of an XBT-CTD side-by-side dataset and a global collocated reference dataset, the influence of RSs on the pure temperature error (PTE) is examined. Results show a clear time dependency of PTE on the RS, with maximum values occurring in the 1970s. In addition, the method used to convert thermistor resistance into temperature in the RS (using a resistance-temperature equation) has changed over time. These changes, together with the decadal changes in RSs, might contribute a small error (10% on average) to the RS dependency. Here, an improvement of global XBT bias correction that accounts for the RS dependency is proposed. However, more than 70% of historical global XBT data are missing RS-type information. We investigate several assumptions about the temporal distribution of RS types, and all scenarios lead to at least a; 50% reduction in the time variation of PTE compared with the uncorrected data. Therefore, the RS dependency should be taken into account in updated XBT correction schemes, which would have further implications for climatology studies. © 2021 American Meteorological Society.

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URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85105504068&doi=10.1175%2fJTECH-D-20-0136.1&partnerID=40&md5=7d183039c20fd4846871c396b4e0802d
DOI10.1175/JTECH-D-20-0136.1
Citation KeyTan2021759