Abstract
With its excellent endurance, good maneuverability and track controllability, glider has become one of the important equipment to obtain ocean field data. The network observation of multiple gliders will be the main approach of ocean observation in the future. However, how to plan the glider path in a reasonable way and how to design the optimal observation network consisting of multiple gliders in an eddy have not been well solved. As an effort to tackle this problem, an adaptive network design algorithm for multiple gliders in mesoscale eddies observation which referred as “Optimal Sampling” is proposed in this paper. Simulation experiments of tracking a target eddy in the South China Sea (SCS) show that the proposed algorithm cannot only realize the adaptive network design for multiple gliders, but also ensure the uniform sampling inside the eddy. Compared with the traditional method which samples eddy along a fixed path, the observation data obtained by the solution proposed in this paper are more valuable to describe the essential temperature characteristics of eddies. The residual errors computed from the interpolation of the sampled field is also smaller.
Highlights
As a link between energy transport and material mixing in the marine environment, mesoscale eddies have an important impact on ocean circulation structure, the distribution of marine organisms, as well as temperature and salinity (Dong et al, 2014; Yang et al, 2015; Amores et al, 2017)
An anticyclonic eddy located between the Hainan island and the Luzon strait was selected as the target eddy in the simulation experiment
An adaptive network design algorithm for multiple gliders sampling in mesoscale eddies observation is proposed in this paper
Summary
As a link between energy transport and material mixing in the marine environment, mesoscale eddies have an important impact on ocean circulation structure, the distribution of marine organisms, as well as temperature and salinity (Dong et al, 2014; Yang et al, 2015; Amores et al, 2017). Long-term and continuous observation of mesoscale eddies is of great significance for collecting more valuable in-situ data. A large number of surface and underwater data are needed to promote the research of ocean mesoscale eddies (Chen et al, 2019b; Morrow et al, 2019). Since early 1980s, exploration and cognition of ocean eddies have stepped into a new era with the launch of several altimetry satellites, including Topex/Poseidon(T/P), Jason-1&2, GFO, ERS-1&2 and GeoSat, which measures the sea surface height precisely (Chelton et al, 2007, 2011; Fu et al, 2010; Chen et al, 2019a). The above-mentioned observation methods of remote sensing can only sample the feature data limited to the sea surface, which are inadequate for the underwater. Some supplementary approaches has been adopted by researchers in recent years, such as carrying out observation
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