Model-aided Lagrangian interpretation of non-synoptic estuarine observations

Andrey Y. Shcherbina, Craig L. Mcneil, Antonio Baptista

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

We propose a novel method for constructing a pseudo-synoptic view of estuarine features from non-synoptic observations captured by mobile platforms. The model-aided Lagrangian interpretation (MALI) method is based on relocating observations to a common reference moment in time along three-dimensional Lagrangian trajectories derived from a numerical model of estuarine circulation. The method relies on the model skill to capture large-scale circulation features, and on high-resolution in situ observations to characterize small-scale hydrographic structure. We demonstrate our technique by applying MALI to autonomous underwater vehicle observations in the Columbia River estuary, with the aid of a validated unstructured-grid finite-element numerical simulation. The method can be readily adapted to a broader range of environments, observational platforms, and model-data combinations.

Original languageEnglish (US)
Pages (from-to)397-407
Number of pages11
JournalLimnology and Oceanography: Methods
Volume14
Issue number6
DOIs
StatePublished - Jun 1 2016

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Autonomous underwater vehicles
Estuaries
Numerical models
Rivers
Trajectories
Computer simulation

ASJC Scopus subject areas

  • Ocean Engineering

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Model-aided Lagrangian interpretation of non-synoptic estuarine observations. / Shcherbina, Andrey Y.; Mcneil, Craig L.; Baptista, Antonio.

In: Limnology and Oceanography: Methods, Vol. 14, No. 6, 01.06.2016, p. 397-407.

Research output: Contribution to journalArticle

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