Shen, X.-T.; Belkin, I.M. Observational Studies of Ocean Fronts: A Systematic Review of Chinese-Language Literature. Water2023, 15, 3649.
Shen, X.-T.; Belkin, I.M. Observational Studies of Ocean Fronts: A Systematic Review of Chinese-Language Literature. Water 2023, 15, 3649.
Shen, X.-T.; Belkin, I.M. Observational Studies of Ocean Fronts: A Systematic Review of Chinese-Language Literature. Water2023, 15, 3649.
Shen, X.-T.; Belkin, I.M. Observational Studies of Ocean Fronts: A Systematic Review of Chinese-Language Literature. Water 2023, 15, 3649.
Abstract
This review will serve as an entry point for international researchers who would like to tap into the vast scientific potential of Chinese-language literature on oceanic fronts. We focused on observational studies in descriptive physical oceanography of marine fronts. A thorough bibliographic search netted 93 papers published in 1982-2023, with a sharp increase of the total number of papers after 2010. This trend continued unabated through the early 2020s. Regionally, the overwhelming majority of papers is focused on the China Seas, particularly the East China Seas (Bohai, Huanghai, and Donghai, especially the Yangtze River Plume) and northern South China Sea (Guangdong Shelf). Elsewhere, a number of papers were dedicated to the Southern Ocean and North Atlantic. Thematically, papers on remote sensing of ocean fronts dominate, with special attention to the development of new advanced front-detection algorithms applied to satellite data on sea surface temperature and chlorophyll. Numerous papers on marine fronts in the China Seas present important results that have to be considered by international researchers. Overall, this review emphasizes the significant contributions made by Chinese oceanographers, particularly to the frontal oceanography of the China Seas.
Keywords
ocean fronts; front detection; satellite oceanography; remote sensing; China Seas
Subject
Environmental and Earth Sciences, Oceanography
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
