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A Dataset of Hourly Sea Surface Temperature From Drifting Buoys

Research output: Contribution to Journal/Magazine › Journal article

Published

Standard

A Dataset of Hourly Sea Surface Temperature From Drifting Buoys. / Elipot, Shane; Sykulski, Adam; Lumpkin, Rick et al.
In: arXiv, 20.01.2022.

Research output: Contribution to Journal/Magazine › Journal article

Harvard

Elipot, S, Sykulski, A, Lumpkin, R, Centurioni, L & Pazos, M 2022, 'A Dataset of Hourly Sea Surface Temperature From Drifting Buoys', arXiv.

APA

Elipot, S., Sykulski, A., Lumpkin, R., Centurioni, L., & Pazos, M. (2022). A Dataset of Hourly Sea Surface Temperature From Drifting Buoys. arXiv.

Vancouver

Elipot S, Sykulski A, Lumpkin R, Centurioni L, Pazos M. A Dataset of Hourly Sea Surface Temperature From Drifting Buoys. arXiv. 2022 Jan 20.

Author

Elipot, Shane ; Sykulski, Adam ; Lumpkin, Rick et al. / A Dataset of Hourly Sea Surface Temperature From Drifting Buoys. In: arXiv. 2022.

Bibtex

@article{58bf83b3f5ab4d44bf5ffea3ac36aee2,
title = "A Dataset of Hourly Sea Surface Temperature From Drifting Buoys",
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 hourly dataset of position and velocity from the Global Drifter Program. ",
keywords = "physics.ao-ph",
author = "Shane Elipot and Adam Sykulski and Rick Lumpkin and Luca Centurioni and Mayra Pazos",
note = "to be submitted to Scientific Data",
year = "2022",
month = jan,
day = "20",
language = "English",
journal = "arXiv",
issn = "2331-8422",

}

RIS

TY - JOUR

T1 - A Dataset of Hourly Sea Surface Temperature From Drifting Buoys

AU - Elipot, Shane

AU - Sykulski, Adam

AU - Lumpkin, Rick

AU - Centurioni, Luca

AU - Pazos, Mayra

N1 - to be submitted to Scientific Data

PY - 2022/1/20

Y1 - 2022/1/20

N2 - 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 hourly dataset of position and velocity from the Global Drifter Program.

AB - 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 hourly dataset of position and velocity from the Global Drifter Program.

KW - physics.ao-ph

M3 - Journal article

JO - arXiv

JF - arXiv

SN - 2331-8422

ER -