Ocean heat content is a critical indicator of climate change, as the ocean absorbs over 90% of excess heat from global warming. Accurate and comprehensive ocean temperature datasets are essential for understanding climate variability, validating climate models, and assessing the rate of global warming.
This research contributes to the development of the IAPv4 ocean temperature and ocean heat content gridded dataset, improving spatial and temporal coverage of ocean temperature measurements. Our work involves advanced quality control procedures, interpolation techniques, and uncertainty quantification methods essential for climate research.
The dataset provides crucial observational constraints for understanding ocean-climate interactions and serves as a benchmark for climate model evaluation and improvement.
Global ocean heat content distribution and temporal evolution showing the ocean's role as the primary reservoir of excess heat in the climate system.
The IAPv4 ocean temperature and heat content dataset is freely available to the research community:
Duration: 2021 - Present
Lead Institution: Institute of Atmospheric Physics, Chinese Academy of Sciences
International Partners: NOAA, University of St. Thomas, Scripps Institution of Oceanography
Funding: National Key R&D Program of China, International collaboration grants