Assimilation of GPS-tracked drifter data to improve the Eulerian velocity fields in an estuary

Mohammadreza Khanarmuei; Neda Mardani; Kabir Suara; Julius Sumihar; Scott W McCue; Roy C Sidle; Adrian McCallum; Richard J Brown

doi:10.1016/j.ecss.2021.107575

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Assimilation of GPS-tracked drifter data to improve the Eulerian velocity fields in an estuary

Journal article

Peer reviewed

Assimilation of GPS-tracked drifter data to improve the Eulerian velocity fields in an estuary

Mohammadreza Khanarmuei, Neda Mardani, Kabir Suara, Julius Sumihar, Scott W McCue, Roy C Sidle, Adrian McCallum and Richard J Brown

Estuarine, Coastal and Shelf Science, Vol.262, pp.1-15

2021

DOI: https://doi.org/10.1016/j.ecss.2021.107575

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Abstract

Data assimilation

Drifter

Estuary

Hydrodynamic model

Lagrangian

Open-source tool

Numerical models are invaluable for the provision of real-time and forecasting information that can be used to examine estuarine hydrodynamics, particularly during times of flood or contaminant release. However, model outputs are associated with uncertainty; this necessitates the use of data assimilation (DA) techniques to improve model accuracy. We used an open-source DA tool to effectively assimilate Lagrangian drifter data into an estuarine hydrodynamic model using an ensemble Kalman filter (EnKF) algorithm. Our aims were to (i) evaluate the potential of drifter data for improving the accuracy of model estimates, and (ii) reduce the challenge and programming effort required for assimilation of such datasets, to make this technique accessible, for a broader range of users. We showed that assimilation of Lagrangian data obtained from prompt deployment of drifters in estuaries can lead to significant improvement (here, up to 54%) in modelled velocity fields.

Details

Title: Assimilation of GPS-tracked drifter data to improve the Eulerian velocity fields in an estuary
Authors: Mohammadreza Khanarmuei (Author) - Queensland University of Technology
Neda Mardani (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
Kabir Suara (Author) - Queensland University of Technology
Julius Sumihar (Author) - Deltares
Scott W McCue (Author) - Queensland University of Technology
Roy C Sidle (Author) - University of the Sunshine Coast
Adrian McCallum (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
Richard J Brown (Author) - Queensland University of Technology
Publication details: Estuarine, Coastal and Shelf Science, Vol.262, pp.1-15
Publisher: Academic Press
Date published: 2021
DOI: 10.1016/j.ecss.2021.107575
ISSN: 1096-0015
Grants: Innovative Global Navigation Satellite Systems (GNSS) - enabled technology for monitoring regular and flooded flows in Australian Waters., LP150101172, Australian Research Council (Australia, Canberra) - ARC
Understanding pollutant transport in estuaries and coastal rivers, DP190103379, Australian Research Council (Australia, Canberra) - ARC
Organisation Unit: Indigenous and Transcultural Research Centre; Cancer Research Cluster; School of Science, Technology and Engineering; Sustainability Research Cluster
Language: English
Record Identifier: 99573508802621
Output Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Marine & Freshwater Biology; Oceanography

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