Optimal Planning and Sampling Predictions for Autonomous and Lagrangian Platforms and Sensors in the Northern Arabian Sea

Optimal Planning and Sampling Predictions for Autonomous and Lagrangian Platforms and Sensors in the Northern Arabian Sea

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. Thi...

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Bibliographic Details
Main Authors: Shcherbina, Andrey (Author), Lee, Craig (Author), Gangopadhyay, Avijit (Author), Lermusiaux, Pierre (Contributor), Haley, Patrick (Contributor), Jana, Sudip (Contributor), Gupta, Abhinav (Contributor), Kulkarni, Chinmay Sameer (Contributor), Mirabito, Chris (Contributor), Ali, Wael (Contributor), Narayanan Subramani, Deepak (Contributor), Dutt, Arkopal (Contributor), Lin, Jing (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: The Oceanography Society, 2018-05-16T20:25:06Z.
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