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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Model data for: Upper-lower layer coupling of recurrent circulation patterns in the Gulf of Mexico

Authors: Olvera-Prado, Erick; Moreles-Vazquez, Efrain; Zavala-Hidalgo, Jorge; Romero-Centeno, Rosario;

Model data for: Upper-lower layer coupling of recurrent circulation patterns in the Gulf of Mexico

Abstract

Post processed model output data for "Upper-lower layer coupling of recurrent circulation patterns in the Gulf of Mexico" submitted to Journal of Physical Oceanography. There are two datasets, one for the upper layer (H1) and one for the lower layer (H2). Each one contains the demeaned, detrended, and filtered (Lanczos low-pass) daily fields of layer thickness anomaly to which the authors computed the Hilbert EOFs. File list: H1_GoM_day_ssk15_st30dl.mat - this file contains the layer thickness anomaly fields for the upper layer (<250m) H2_GoM_day_ssk15_st30dl.mat - this file contains the layer thickness anomaly fields for the lower layer (>1000m) Scripts for plotting and processing the data into the model domain are available at: https://github.com/erickolvera/Olvera_et_al_21

Keywords

Coupling of upper and lower layers, Gulf of Mexico circulation patterns

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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