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A dataset of hourly sea surface temperature from drifting buoys

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Title: A dataset of hourly sea surface temperature from drifting buoys
Authors: Elipot, S
Sykulski, A
Lumpkin, R
Centurioni, L
Pazos, M
Item Type: Journal Article
Abstract: A dataset of sea surface temperature (SST) estimates is generated from the temperature observations of surface drifting buoys of NOAA’s Global Drifter Program. Estimates of SST at regular hourly time steps along drifter trajectories are obtained by fitting to observations a mathematical model representing simultaneously SST diurnal variability with three harmonics of the daily frequency, and SST low-frequency variability with a first degree polynomial. Subsequent estimates of non-diurnal SST, diurnal SST anomalies, and total SST as their sum, are provided with their respective standard uncertainties. This Lagrangian SST dataset has been developed to match the existing and on-going hourly dataset of position and velocity from the Global Drifter Program.
Issue Date: 14-Sep-2022
Date of Acceptance: 22-Aug-2022
URI: http://hdl.handle.net/10044/1/99794
DOI: 10.1038/s41597-022-01670-2
ISSN: 2052-4463
Publisher: Nature Research
Start Page: 1
End Page: 27
Journal / Book Title: Scientific Data
Volume: 9
Issue: 1
Copyright Statement: © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Sponsor/Funder: Engineering and Physical Sciences Research Council
Funder's Grant Number: EP/R01860X/1
Keywords: physics.ao-ph
physics.ao-ph
Publication Status: Published online
Open Access location: https://www.nature.com/articles/s41597-022-01670-2.epdf?sharing_token=6NxnvqiDtNge6WqAvie0QNRgN0jAjWel9jnR3ZoTv0Oe5073KqohLljo1cBTubKWV3yJSOpDNncG5th2BohQgRW_RlZGGW8pg3NafPc6ykYUjLHuySqONQg8FGrH2AVXSYn02S5rDIvyUHZveFPWwb92xewymM71luk6BpiXgxE%3D
Article Number: 567
Online Publication Date: 2022-09-14
Appears in Collections:Statistics
Mathematics



This item is licensed under a Creative Commons License Creative Commons