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CODC-v1: a quality-controlled and bias-corrected ocean temperature profile database from 1940-2023.
Zhang, Bin; Cheng, Lijing; Tan, Zhetao; Gouretski, Viktor; Li, Fuchao; Pan, Yuying; Yuan, Huifeng; Ren, Huanping; Reseghetti, Franco; Zhu, Jiang; Wang, Fan.
Afiliación
  • Zhang B; Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China.
  • Cheng L; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China.
  • Tan Z; Oceanographic Data Center, Chinese Academy of Sciences, Qingdao, 266071, China.
  • Gouretski V; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China. chenglij@mail.iap.ac.cn.
  • Li F; Oceanographic Data Center, Chinese Academy of Sciences, Qingdao, 266071, China. chenglij@mail.iap.ac.cn.
  • Pan Y; International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China. chenglij@mail.iap.ac.cn.
  • Yuan H; University of Chinese Academy of Sciences, Beijing, 101408, China. chenglij@mail.iap.ac.cn.
  • Ren H; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China.
  • Reseghetti F; International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China.
  • Zhu J; University of Chinese Academy of Sciences, Beijing, 101408, China.
  • Wang F; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China.
Sci Data ; 11(1): 666, 2024 Jun 22.
Article en En | MEDLINE | ID: mdl-38909049
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.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido