TY - JOUR
T1 - XBT science
T2 - Assessment of instrumental biases and errors
AU - Cheng, Lijing
AU - Abraham, John
AU - Goni, Gustavo
AU - Boyer, Timothy
AU - Wijffels, Susan
AU - Cowley, Rebecca
AU - Gouretski, Viktor
AU - Reseghetti, Franco
AU - Kizu, Shoichi
AU - Dong, Shenfu
AU - Bringas, Francis
AU - Goes, Marlos
AU - Houpert, Loïc
AU - Sprintall, Janet
AU - Zhu, Jiang
N1 - Funding Information:
We acknowledge the International Center for Climate and Environment Sciences (ICCES), Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), and The World Academy of Sciences (TWAS) for supporting the Fourth XBT Workshop, which provided the opportunity for scientists in the XBT community to meet and discuss XBT biases. L. Cheng and J. Zhu are supported by the project "Structures, Variability and Climatic Impacts of Ocean Circulation and Warm Pool in the Tropical Pacific Ocean" of the National Basic Research Program of China (Grant 41476016) and the project "Western Pacific Ocean System: Structure, Dynamics and Consequences" (Grant XDA11010405) of the Chinese Academy of Sciences. Work by G. Goni, S. Dong, F. Bringas, and M. Goes was supported by NOAA/AOML and by the NOAA Climate Program Office.
Publisher Copyright:
©2016 American Meteorological Society.
PY - 2016/6
Y1 - 2016/6
N2 - Expendable bathythermograph (XBT) data were the major component of the ocean temperature profile observations from the late 1960s through the early 2000s, and XBTs still continue to provide critical data to monitor surface and subsurface currents, meridional heat transport, and ocean heat content. Systematic errors have been identified in the XBT data, some of which originate from computing the depth in the profile using a theoretically and experimentally derived fall-rate equation (FRE). After in-depth studies of these biases and discussions held in several workshops dedicated to discussing XBT biases, the XBT science community met at the Fourth XBT Science Workshop and concluded that XBT biases consist of 1) errors in depth values due to the inadequacy of the probe motion description done by standard FRE and 2) independent pure temperature biases. The depth error and temperature bias are temperature dependent and may depend on the data acquisition and recording system. In addition, the depth bias also includes an offset term. Some biases affecting the XBT-derived temperature profiles vary with manufacturer/probe type and have been shown to be time dependent. Best practices for historical XBT data corrections, recommendations for future collection of metadata to accompany XBT data, impact of XBT biases on scientific applications, and challenges encountered are presented in this manuscript. Analysis of XBT data shows that, despite the existence of these biases, historical XBT data without bias corrections are still suitable for many scientific applications, and that bias-corrected data can be used for climate research.
AB - Expendable bathythermograph (XBT) data were the major component of the ocean temperature profile observations from the late 1960s through the early 2000s, and XBTs still continue to provide critical data to monitor surface and subsurface currents, meridional heat transport, and ocean heat content. Systematic errors have been identified in the XBT data, some of which originate from computing the depth in the profile using a theoretically and experimentally derived fall-rate equation (FRE). After in-depth studies of these biases and discussions held in several workshops dedicated to discussing XBT biases, the XBT science community met at the Fourth XBT Science Workshop and concluded that XBT biases consist of 1) errors in depth values due to the inadequacy of the probe motion description done by standard FRE and 2) independent pure temperature biases. The depth error and temperature bias are temperature dependent and may depend on the data acquisition and recording system. In addition, the depth bias also includes an offset term. Some biases affecting the XBT-derived temperature profiles vary with manufacturer/probe type and have been shown to be time dependent. Best practices for historical XBT data corrections, recommendations for future collection of metadata to accompany XBT data, impact of XBT biases on scientific applications, and challenges encountered are presented in this manuscript. Analysis of XBT data shows that, despite the existence of these biases, historical XBT data without bias corrections are still suitable for many scientific applications, and that bias-corrected data can be used for climate research.
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U2 - 10.1175/BAMS-D-15-00031.1
DO - 10.1175/BAMS-D-15-00031.1
M3 - Review article
AN - SCOPUS:84978149761
SN - 0003-0007
VL - 97
SP - 923
EP - 933
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
IS - 6
ER -