Optimal Planning and Sampling Predictions for Autonomous and Lagrangian Platforms and Sensors in the Northern Arabian Sea
Name
30-2_lermusiaux.pdf
Size
2.08 MB
Format
Adobe PDF
Checksum (MD5)
f32ec7b812816f63cc179a10b1e433fe
Author(s)
Shcherbina, Andrey
Lee, Craig
Gangopadhyay, Avijit
Lermusiaux, Pierre
Haley, Patrick
Jana, Sudip
Gupta, Abhinav
Kulkarni, Chinmay Sameer
Mirabito, Chris
Ali, Wael
Date Issued
September 2017
Journal
Oceanography
Publisher
The Oceanography Society
Citation
Lermusiaux, Pierre et al. “Optimal Planning and Sampling Predictions for Autonomous and Lagrangian Platforms and Sensors in the Northern Arabian Sea.” Oceanography 30, 2 (June 2017): 172–185
Version
Final published version
Abstract
Where, when, and what to sample, and how to optimally reach the sampling locations, are critical questions to be answered by autonomous and Lagrangian platforms and sensors. For a reproducible scientific sampling approach, answers should be quantitative and provided using fundamental principles. This article reviews concepts and recent progress toward this principled approach, focusing on reachability, path planning, and adaptive sampling, and presents results of a real-time forecasting and planning experiment completed during February–April 2017 for the Northern Arabian Sea Circulation-autonomous research program. The predictive skill, layered fields, and uncertainty estimates obtained using the MIT MSEAS multi-resolution ensemble ocean modeling system are first studied. With such inputs, deterministic and probabilistic three-dimensional reachability forecasts issued daily for gliders and floats are then showcased and validated. Finally, a Bayesian adaptive sampling framework is shown to forecast in real time the observations that are most informative for estimating classic ocean fields and also secondary variables such as Lagrangian coherent structures.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.5670/OCEANOG.2017.242
