Session7: Oceanic big data and artificial intelligence (AI) oceanography
Conveners: Changming Dong,Guangjun Xu, Ge Chen, Xiaofeng Li, Yusuke Uchiyama
Session description:
AI oceanography is developing rapidly in recent years and has shown promising prospects. Its applications range from microscopic robots used to mimic phytoplankton, passing through the intelligent marine energy harnessing as a renewable energy source, to the use of AI technologies to detect oceanic eddies or other structures from images of sea surface temperature, sea surface height or chlorophyll. Moreover, with the improvement in marine numerical modeling (higher resolution, current-wave-wind interaction, multiple-level nesting and so on) and observation, an enormous amount of data is accumulated, and AI is now considered as a potentially superior technology to mine and processing oceanic big data. This session welcomes contributions on all aspects of AI oceanography and the application of oceanic big data.
Session description:
AI oceanography is developing rapidly in recent years and has shown promising prospects. Its applications range from microscopic robots used to mimic phytoplankton, passing through the intelligent marine energy harnessing as a renewable energy source, to the use of AI technologies to detect oceanic eddies or other structures from images of sea surface temperature, sea surface height or chlorophyll. Moreover, with the improvement in marine numerical modeling (higher resolution, current-wave-wind interaction, multiple-level nesting and so on) and observation, an enormous amount of data is accumulated, and AI is now considered as a potentially superior technology to mine and processing oceanic big data. This session welcomes contributions on all aspects of AI oceanography and the application of oceanic big data.