Scripps Institution of Oceanography, University of California San Diego, La Jolla, California 92093, USA.
Computer Science and Engineering, University of California San Diego, La Jolla, California 92093, USA.
Nat Commun. 2017 Jan 24;8:14189. doi: 10.1038/ncomms14189.
Measuring the ever-changing 3-dimensional (3D) motions of the ocean requires simultaneous sampling at multiple locations. In particular, sampling the complex, nonlinear dynamics associated with submesoscales (<1-10 km) requires new technologies and approaches. Here we introduce the Mini-Autonomous Underwater Explorer (M-AUE), deployed as a swarm of 16 independent vehicles whose 3D trajectories are measured near-continuously, underwater. As the vehicles drift with the ambient flow or execute preprogrammed vertical behaviours, the simultaneous measurements at multiple, known locations resolve the details of the flow within the swarm. We describe the design, construction, control and underwater navigation of the M-AUE. A field programme in the coastal ocean using a swarm of these robots programmed with a depth-holding behaviour provides a unique test of a physical-biological interaction leading to plankton patch formation in internal waves. The performance of the M-AUE vehicles illustrates their novel capability for measuring submesoscale dynamics.
测量海洋不断变化的三维(3D)运动需要在多个位置同时进行采样。特别是,要采样与亚中尺度(<1-10km)相关的复杂非线性动力学,需要新技术和方法。在这里,我们介绍了 Mini-Autonomous Underwater Explorer(M-AUE),它被部署为 16 个独立车辆的群集,其 3D 轨迹在水下近连续地测量。随着车辆随环境流漂移或执行预编程的垂直行为,在多个已知位置的同时测量可以解析群内流的细节。我们描述了 M-AUE 的设计、构建、控制和水下导航。在沿海海域使用一群经过编程以保持深度行为的机器人进行的现场计划为导致内波中浮游生物斑块形成的物理-生物相互作用提供了独特的测试。M-AUE 车辆的性能说明了它们用于测量亚中尺度动力学的新颖能力。