Recently, GDCSM_Argo data-set jointly developed by Shanghai Ocean University and the Observation and Research Station of Global Ocean Argo System (Hangzhou), Ministry of Natural Resources, was officially released on the official international Argo website, which is China’s second global ocean Argo gridded data-set publicly released and regularly updated worldwide. The data-set can be widely used in basic research in the fields of ocean, meteorology, fisheries oceanography, as well as ocean-atmosphere coupled numerical simulation and operational ocean/weather forecast.
The GDCSM_Argo data-set based on Gradient-Dependent Optimal Interpolation method, developed by the East China Sea Habitat Evolution and Fishery Resources Innovation Team of the College of Marine Sciences, Shanghai Ocean University, in collaboration with researchers from the Second Institute of Oceanography, Ministry of Natural Resources, contains seawater temperature, salinity, sound velocity, mixed layer depth, lower thermocline depth, thermocline intensity, and other physical ocean environment elements of the global oceans from the sea surface to 1975m water depth, with a horizontal resolution of 1°×1°, totaling 58 layers along the vertical water depth ranging from 0-1975m, covering a time frame from 2004 to 2021, and expected to be updated every six months with its monthly resolution.
The research result Global Gridded Argo Dataset Based on Gradient-Dependent, of which Associate Professor Zhang Chunling is the first author, introduces the development process, key technologies and unique advantages of the GDCSM_Argo dataset. It is found, by validating against and comparing with existing international global ocean grid data products, that the Argo data-set constructed by using anisotropic correlation scales can encrypt the grids without increasing the computational effort, thus extracting the small- and medium-scale signals of the observed data more adequately, which can not only meet the urgent need for prompt update of the gridded data-set with the ever-increasing volume of Argo observation time series and profile data, but also help to improve people’s awareness of the complex and variable oceanic multi-scale dynamical processes, and their influence mechanisms on the fishery changes.
The development of this data-set was financed by the Special Foundation for State Major Basic Research Program of China under the Ministry of Science and Technology of China and the Global Fishery Resources Survey, Monitoring and Assessment Special Program and other programs. After 9-years’ efforts and with several improvements and refinements, the data-set product has finally became one of the two datasets of the same kind in China that are officially recognized by Argo and can be updated on regular basis.