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An Arctic Ocean Thermohaline Dataset.

Jinlong Li1,2, Xiangyu Wu3, Xidong Wang4

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This study presents the Arctic Ocean thermohaline dataset (AOTD), a comprehensive collection of temperature and salinity profiles. The AOTD enhances understanding of Arctic Ocean thermodynamics and water mass variability.

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Area of Science:

  • Oceanography
  • Climate Science
  • Arctic Research

Background:

  • In situ observations are crucial for studying the Arctic environment.
  • High-latitude seasonal variations lead to sparse in situ data in the Arctic.
  • Maximizing the utility of existing observational data is essential.

Purpose of the Study:

  • To assemble a comprehensive Arctic Ocean thermohaline dataset (AOTD).
  • To apply a unified quality control method for observational profiles.
  • To create a gridded climatology dataset for improved Arctic Ocean understanding.

Main Methods:

  • Compiled 414,221 temperature and salinity profiles (1983-2023) from various sources, including the Chinese Arctic Research Expedition.
  • Implemented a unified and strict quality control protocol for all data profiles.
  • Utilized objective analysis to create a gridded climatology (0.25° × 0.25° resolution, 57 vertical layers, 0-1500m) of monthly mean temperature, salinity, and Ocean Heat Content.

Main Results:

  • Established the Arctic Ocean thermohaline dataset (AOTD) with extensive temperature and salinity profiles.
  • Developed and applied a rigorous quality control method for Arctic Oceanographic data.
  • Generated a high-resolution gridded climatology dataset of key oceanographic variables.

Conclusions:

  • The AOTD and its derived climatology provide a valuable resource for Arctic research.
  • This dataset aids in understanding thermodynamic processes and water mass variability in the Arctic Ocean.
  • The findings support improved research on oceanic structures and dynamics within the Arctic.