A dataset of hourly sea surface temperature from drifting buoys

Details

• Journal Title:
  Scientific Data
• Personal Author:
  Elipot, Shane ; Sykulski, Adam ; Lumpkin, Rick ; Centurioni, Luca ; Pazos, Mayra
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research) ; AOML (Atlantic Oceanographic and Meteorological Laboratory) ; CIMAS (Cooperative Institute for Marine and Atmospheric Studies)
• Description:
  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.
• Keywords:
  • Sea surface temperature (SST)
  • Global Drifter Program
  • Drifting buoys
  • Drifters
  • In situ observations
• Source:
  Sci Data 9, 567 (2022)
• DOI:
  https://doi.org/10.1038/s41597-022-01670-2
• Document Type:
  Journal Article
• Funding:
  Grant no. NA20OAR4320472 ; Grant no. NA20OAR4320278
• Rights Information:
  CC BY
• Compliance:
  Submitted
• Download URL:
  https://repository.library.noaa.gov/view/noaa/45433/noaa_45433_DS1.pdf
• File Type:
  [PDF - 4.52 MB]
• Collection(s):
  Office of Oceanic and Atmospheric Research (OAR) ; NOAA Cooperative Institutes
• Main Document Checksum:
  urn:sha256:deba5fa30e8ca12f6f312e9ecb18f1c388ca77e1f356d441b6677324be4a2998