A dataset of hourly sea surface temperature from drifting buoys

被引:11
|
作者
Elipot, Shane [1 ]
Sykulski, Adam [2 ]
Lumpkin, Rick [3 ]
Centurioni, Luca [4 ]
Pazos, Mayra [3 ]
机构
[1] Univ Miami, Rosenstiel Sch Marine Atmospher & Earth Sci, Miami, FL 33149 USA
[2] Univ Lancaster, Dept Math & Stat, Lancaster LA1 4YW, England
[3] NOAA, Atlantic Oceanog & Meteorol Lab, Miami, FL 33149 USA
[4] Univ Calif San Diego, Scripps Inst Oceanog, Lagrangian Drifter Lab, San Diego, CA 92103 USA
基金
美国海洋和大气管理局; 美国国家科学基金会; 英国工程与自然科学研究理事会;
关键词
GLOBAL OCEAN; OBSERVING SYSTEM; DRIFTERS; VARIABILITY; VARIANCE;
D O I
10.1038/s41597-022-01670-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:27
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