Ocean Flow Observation from Inter – Platform Measurement for Lagrangian Floats

This paper presents a novel algorithm for estimating the horizontal flow field using inter-platform measurements of displacement among Lagrangian float systems. The primary application of this algorithm is to enhance the navigational perception of Lagrangian floats. The proposed algorithm is grounded in a piecewise linear approximation, with coefficients estimated using an extended Kalman filter. The effectiveness of the algorithm is validated through numerical simulations and tested with data collected from an open sea trial in the Pacific Ocean. The results demonstrate a method for the accurate real time flow field estimations, providing valuable insights for oceanographic research and long-duration ocean monitoring.

Authors

Institutions

Publication Details

Published
2024-09-23
DOI
https://doi.org/10.1109/oceans55160.2024.10753799
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ocean Flow Observation from Inter – Platform Measurement for Lagrangian Floats

Dieter A. Bevans, Alison B. Laferriere, Charles M. Shepard, Eric Berkenpas et al.
Oceanographic and Atmospheric Processes
article

Ocean Flow Observation from Inter – Platform Measurement for Lagrangian Floats

Dieter A. Bevans, Alison B. Laferriere, Charles M. Shepard, Eric Berkenpas, Lauren A. Freeman, Cong Wei, Aaron M. Thode
article en

Abstract

This paper presents a novel algorithm for estimating the horizontal flow field using inter-platform measurements of displacement among Lagrangian float systems. The primary application of this algorithm is to enhance the navigational perception of Lagrangian floats. The proposed algorithm is grounded in a piecewise linear approximation, with coefficients estimated using an extended Kalman filter. The effectiveness of the algorithm is validated through numerical simulations and tested with data collected from an open sea trial in the Pacific Ocean. The results demonstrate a method for the accurate real time flow field estimations, providing valuable insights for oceanographic research and long-duration ocean monitoring.

Scripps Institution of Oceanography (US), Naval Undersea Warfare Center (US), Old Dominion University (US)
Life below water
Openalex Percentile: Top 78%
Oceanographic and Atmospheric Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.