期刊
SCIENTIFIC DATA
卷 9, 期 1, 页码 -出版社
NATURE PORTFOLIO
DOI: 10.1038/s41597-022-01670-2
关键词
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资金
- Cooperative Institute for Marine and Atmospheric Studies (CIMAS)
- University of Miami
- National Oceanic and Atmospheric Administration [NA20OAR4320472]
- US National Science Foundation under EarthCube Capabilities Grant [2126413]
- UK Engineering and Physical Sciences Research Council [EP/R01860X/1]
- NOAA Global Ocean and Monitoring Program
- NOAA Atlantic Oceanographic and Meteorological Laboratory
- NOAA [NA20OAR4320278]
- Directorate For Geosciences
- Div of Res, Innovation, Synergies, & Edu [2126413] Funding Source: National Science Foundation
This dataset is generated from the temperature observations of surface drifting buoys of NOAA's Global Drifter Program. It provides estimates of sea surface temperature (SST) along drifter trajectories at regular hourly intervals, taking into account both diurnal and low-frequency variability. The dataset includes non-diurnal SST estimates, diurnal SST anomalies, and total SST along with their respective standard uncertainties.
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.
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