Scientific Data (Jun 2024)

CODC-v1: a quality-controlled and bias-corrected ocean temperature profile database from 1940–2023

  • Bin Zhang,
  • Lijing Cheng,
  • Zhetao Tan,
  • Viktor Gouretski,
  • Fuchao Li,
  • Yuying Pan,
  • Huifeng Yuan,
  • Huanping Ren,
  • Franco Reseghetti,
  • Jiang Zhu,
  • Fan Wang

DOI
https://doi.org/10.1038/s41597-024-03494-8
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 13

Abstract

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Abstract High-quality ocean in situ profile observations are fundamental for ocean and climate research and operational oceanographic applications. Here we describe a new global ocean subsurface temperature profile database named the Chinese Academy of Science (CAS) Oceanography Data Center version 1 (CODC-v1). This database contains over 17 million temperature profiles between 1940–2023 from all available instruments. The major data source is the World Ocean Database (WOD), but CODC-v1 also includes some data from some Chinese institutes which are not available in WOD. The data are quality-controlled (QC-ed) by a new QC system that considers the skewness of local temperature distributions, topographic barriers, and the shift of temperature distributions due to climate change. Biases in Mechanical Bathythermographs (MBTs), eXpendable Bathythermographs (XBTs), and Bottle data (OSD) are all corrected using recently proposed correction schemes, which makes CODC-v1 a bias-corrected dataset. These aspects ensure the data quality of the CODC-v1 database, making it suitable for a wide spectrum of ocean and climate research and applications.