Towards Reducing Uncertainty in Historical XBT Data: An International Effort from the XBT Science Team.

Rebecca Cowley1, Cheng Lijing2, Gustavo Jorge Goni3, Tim Boyer4, John P Abraham5, Susan Anne Wijffels6, Viktor Vladimir Gouretski7, Franco Reseghetti8, Shoichi Kizu9, Shenfu Dong10, Francis Bringas11, Marlos P Goes10, Loic Houpert12, Janet Sprintall13 and Jiang Zhu2, (1)CSIRO Marine and Atmospheric Research Hobart, Hobart, TAS, Australia, (2)Institute of Atmospheric Physics, International Center for Climate and Environment Sciences, Beijing, China, (3)NOAA Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, United States, (4)National Oceanographic Data Center, Silver Spring, MD, United States, (5)University of St Thomas, St. Paul, MN, United States, (6)CSIRO Marine and Atmospheric Research, Hobart, Australia, (7)University of Hamburg, Hamburg, Germany, (8)ENEA National Agency for New Technolgies, Energy and Sustainable Economic Development, S. Teresa, Italy, (9)Tohoku University, Sendai, Japan, (10)University of Miami, Miami, FL, United States, (11)Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, United States, (12)Université Pierre et Marie Curie, Paris Cedex 05, France, (13)University of California San Diego, La Jolla, CA, United States
Abstract:
eXpendable BathyThermograph (XBT) data were the major component of the ocean temperature profile observations from the late 1960s through 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 discuss 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 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 have a time dependence. 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 will be presented. 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.