  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.
