Collections »

Data from: Observations and Numerical Simulations of the Onset and Growth of Langmuir Circulations

About this collection

Extent

1 digital object.

Cite This Work

Andriatis, Alexander; Lenain, Luc; Alford, Matthew H.; Winstead, Nathaniel; Geiman, Joseph (2024). Data from: Observations and Numerical Simulations of the Onset and Growth of Langmuir Circulations. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0VQ32W2

Description

This dataset contains observational data and numerical simulations relevant to the associated publication on observations of Langmuir circulations. Observational data were collected in November 2020 from airborne instruments (MASS) and in-situ from autonomous wave gliders, drifting instruments, and ship-based measurements, collected by researchers at the Scripps Institution of Oceanography at UC San Diego. Numerical simulations were run between 2021 and 2023 by researchers at Johns Hopkins Applied Physics Laboratory. The dataset contains the data and the processing routines necessary to generate the figures in Andriatis et al. 2024.

Date Collected

2020-11-04 to 2020-11-25

Date Issued

2024

Creator

Authors

Co Principal Investigators

Funding

This work was funded by the Office of Naval Research (award N00014-19-1-2635) and the National Science Foundation (OCE; Grant OCE-2219752).

Geographics

Topics

Format View formats within this collection

Language

English

Identifier

Identifier: Alexander Andriatis: https://orcid.org/0009-0007-8775-6044

Identifier: Luc Lenain: https://orcid.org/0000-0001-9808-1563

Identifier: Matthew H. Alford: https://orcid.org/0000-0002-6318-0737

Identifier: Nathaniel Winstead: https://orcid.org/0000-0001-8060-3300

Related Resources

Primary associated publication

Andriatis, A., L. Lenain, M. H. Alford, N. Winstead, and J. Geiman, 2024: Observations and Numerical Simulations of the Onset and Growth of Langmuir Circulations. J. Phys. Oceanogr., https://doi.org/10.1175/JPO-D-24-0004.1

Source data

Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 hourly data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). https://doi.org/10.24381/cds.adbb2d47

Ryan, W. B. F., S.M. Carbotte, J. Coplan, S. O'Hara, A. Melkonian, R. Arko, R.A. Weissel, V. Ferrini, A. Goodwillie, F. Nitsche, J. Bonczkowski, and R. Zemsky (2009), Global Multi-Resolution Topography (GMRT) synthesis data set, Geochem. Geophys. Geosyst., 10, Q03014. https://www.gmrt.org/ https://doi.org/10.1029/2008GC002332

Software

Carlos Adrian Vargas Aguilera (2023). imagescnan.m v2.1 (Aug 2009, MATLAB Central File Exchange. Retrieved November 22, 2023. https://www.mathworks.com/matlabcentral/fileexchange/20516-imagescnan-m-v2-1-aug-2009

David Long (2023). ellipse.m, MATLAB Central File Exchange. Retrieved November 22, 2023. https://www.mathworks.com/matlabcentral/fileexchange/289-ellipse-m

Felipe G. Nievinski (2023). subtightplot, MATLAB Central File Exchange. Retrieved November 22, 2023. https://www.mathworks.com/matlabcentral/fileexchange/39664-subtightplot

John D'Errico (2023). inpaint_nans, MATLAB Central File Exchange. Retrieved November 22, 2023. https://www.mathworks.com/matlabcentral/fileexchange/4551-inpaint_nans

McDougall, T.J. and P.M. Barker, 2011: Getting started with TEOS-10 and the Gibbs Seawater (GSW) Oceanographic Toolbox, 28pp., SCOR/IAPSO WG127, ISBN 978-0-646-55621-5. http://www.teos-10.org/software.htm

Pascal Getreuer (2023). Colorspace Transformations. MATLAB Central File Exchange. Retrieved November 22, 2023. https://www.mathworks.com/matlabcentral/fileexchange/28790-colorspace-transformations

Scott Lowe (2023). cbrewer2, GitHub. Retrieved November 22, 2023. https://github.com/scottclowe/cbrewer2

Xie, Michael. scale_quivers. https://www.mathworks.com/matlabcentral/fileexchange/69374-scale_quivers

Reference

Thyng, Kristen, et al. “True Colors of Oceanography: Guidelines for Effective and Accurate Colormap Selection.” Oceanography, vol. 29, no. 3, The Oceanography Society, Sept. 2016, pp. 9–13. https://doi.org/10.5670/oceanog.2016.66

Collection image

Image credit: Alexander Andriatis. Infrared observations of sea surface temperature showing the growth Langmuir circulations.

Data from: Observations and Numerical Simulations of the Onset and Growth of Langmuir Circulations

View Collection Items