期刊
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
卷 38, 期 5, 页码 1059-1073出版社
AMER METEOROLOGICAL SOC
DOI: 10.1175/JTECH-D-20-0134.1
关键词
Ocean; Lagrangian circulation; transport; Transport; Optimization; Statistical techniques
资金
- Engineering and Physical Sciences Research Council [EP/R01860X/1]
The paper introduces a novel method for computing the most likely path taken by drifters between arbitrary fixed locations in the ocean and estimating the associated travel time. The method is purely data driven and can handle multiple locations in the ocean globally, while providing estimates of error and uncertainty.
We provide a novel method for computing the most likely path taken by drifters between arbitrary fixed locations in the ocean. We also provide an estimate of the travel time associated with this path. Lagrangian pathways and travel times are of practical value not just in understanding surface velocities, but also in modeling the transport of oceanborne species such as planktonic organisms and floating debris such as plastics. In particular, the estimated travel time can be used to compute an estimated Lagrangian distance, which is often more informative than Euclidean distance in understanding connectivity between locations. Our method is purely data driven and requires no simulations of drifter trajectories, in contrast to existing approaches. Our method scales globally and can simultaneously handle multiple locations in the ocean. Furthermore, we provide estimates of the error and uncertainty associated with both the most likely path and the associated travel time.
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