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Lagrangian ocean analysis: fundamentals and practices

CITE Title : Lagrangian ocean analysis: fundamentals and practices Personal Author(s) : van Sebille, Erik;Griffies, Stephen M.;Abernathey, Ryan;Adams, Thomas P.;Berloff, Pavel;Biastoch, Arne;Blanke, Bruno;Chassignet, Eric P.;Cheng, Yu;Cotter, Colin J.;Deleersnijder, Eric;Döös, Kristofer;Drake, Henri F.;Drijfhout, Sybren;Gary, Stefan F.;Heemink, Arnold W.;Kjellsson, Joakim;Koszalka, Inga Monika;Lange, Michael;Lique, Camille;MacGilchrist, Graeme A.;Marsh, Robert;Mayorga Adame, C. Gabriela;McAdam, Ronan;Nencioli, Francesco;Paris, Claire B.;Piggott, Matthew D.;Polton, Jeff A.;Rühs, Siren;Shah, Syed H.A.M.;Thomas, Matthew D.;Wang, Jinbo;Wolfram, Phillip J.;Zanna, Laure;Zika, Jan D.; Published Date : 2018 Source : Ocean Modelling,121 DOI : https://doi.org/10.1016/j.ocemod.2017.11.008 Journal Title : Ocean Modelling van Sebille, Erik et al. (2018). Lagrangian ocean analysis: fundamentals and practices. 121https://doi.org/10.1016/j.ocemod.2017.11.008 van Sebille, Erik et al. "Lagrangian ocean analysis: fundamentals and practices" 121 (2018), https://doi.org/10.1016/j.ocemod.2017.11.008 van Sebille, Erik et al. "Lagrangian ocean analysis: fundamentals and practices" vol. 121, 2018, https://doi.org/10.1016/j.ocemod.2017.11.008 Export RIS Citation Information.

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van Sebille, Erik ;

Griffies, Stephen M.

2018 | Ocean Modelling,121

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Here, we review the state of the art in the field of Lagrangian analysis of ocean velocity data, starting from a fundamental kinematic framework and w...
GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data

CITE Title : GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data Personal Author(s) : Loose, Nora;Abernathey, Ryan;Grooms, Ian;Busecke, Julius;Guillaumin, Arthur;Yankovsky, Elizabeth;Marques, Gustavo;Steinberg, Jacob;Ross, Andrew;Khatri, Hemant;Bachman, Scott;Zanna, Laure;Martin, Paige; Published Date : 2022 Source : Journal of Open Source Software, 7(70), 3947 DOI : https://doi.org/10.21105/joss.03947 Journal Title : Journal of Open Source Software Loose, Nora et al. (2022). GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data. 7(70). https://doi.org/10.21105/joss.03947 Loose, Nora et al. "GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data" 7, no. 70 (2022), https://doi.org/10.21105/joss.03947 Loose, Nora et al. "GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data" vol. 7, no. 70, 2022, https://doi.org/10.21105/joss.03947 Export RIS Citation Information.

:

Loose, Nora

;

Abernathey, Ryan

2022 | Journal of Open Source Software, 7(70), 3947

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GCM-Filters is a python package that allows scientists to perform spatial filtering analysis in an easy, flexible and efficient way. The package imple...
Identifying Lagrangian coherent vortices in a mesoscale ocean model

CITE Title : Identifying Lagrangian coherent vortices in a mesoscale ocean model Personal Author(s) : Tarshish, Nathaniel;Abernathey, Ryan;Zhang, Ci;Dufour, Carolina O.;Frenger, Ivy;Griffies, Stephen M.; Published Date : 2018 Source : Ocean Modelling, 130, 15-28 DOI : https://doi.org/10.1016/j.ocemod.2018.07.001 Journal Title : Ocean Modelling Tarshish, Nathaniel et al. (2018). Identifying Lagrangian coherent vortices in a mesoscale ocean model. 130https://doi.org/10.1016/j.ocemod.2018.07.001 Tarshish, Nathaniel et al. "Identifying Lagrangian coherent vortices in a mesoscale ocean model" 130 (2018), https://doi.org/10.1016/j.ocemod.2018.07.001 Tarshish, Nathaniel et al. "Identifying Lagrangian coherent vortices in a mesoscale ocean model" vol. 130, 2018, https://doi.org/10.1016/j.ocemod.2018.07.001 Export RIS Citation Information.

:

Tarshish, Nathaniel ;

Abernathey, Ryan

2018 | Ocean Modelling, 130, 15-28

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We identify Lagrangian coherent vortices in a global mesoscale eddy-permitting ocean model using the rotation-based method of Haller et al. (2016). We...