1. Satellite-based time-series of sea-surface temperature since 1981 for climate applications
- Author
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Michael Taylor, Christopher J. Merchant, Claire E. Bulgin, Craig Donlon, Emma Fiedler, Thomas Block, Ruth Wilson, Steinar Eastwood, Gary K. Corlett, Simon A. Good, David I. Berry, Owen Embury, Jonathan P. D. Mittaz, Nick Rayner, Alison Waterfall, and Yoko Tsushima
- Subjects
Statistics and Probability ,Data Descriptor ,010504 meteorology & atmospheric sciences ,0211 other engineering and technologies ,02 engineering and technology ,Physical oceanography ,Library and Information Sciences ,01 natural sciences ,Education ,Diurnal cycle ,14. Life underwater ,lcsh:Science ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,Buoy ,Pixel ,Geodetic datum ,Computer Science Applications ,Sea surface temperature ,13. Climate action ,Climatology ,Radiance ,Environmental science ,Satellite ,lcsh:Q ,Statistics, Probability and Uncertainty ,Climate sciences ,Information Systems - Abstract
A climate data record of global sea surface temperature (SST) spanning 1981–2016 has been developed from 4 × 1012 satellite measurements of thermal infra-red radiance. The spatial area represented by pixel SST estimates is between 1 km2 and 45 km2. The mean density of good-quality observations is 13 km−2 yr−1. SST uncertainty is evaluated per datum, the median uncertainty for pixel SSTs being 0.18 K. Multi-annual observational stability relative to drifting buoy measurements is within 0.003 K yr−1 of zero with high confidence, despite maximal independence from in situ SSTs over the latter two decades of the record. Data are provided at native resolution, gridded at 0.05° latitude-longitude resolution (individual sensors), and aggregated and gap-filled on a daily 0.05° grid. Skin SSTs, depth-adjusted SSTs de-aliased with respect to the diurnal cycle, and SST anomalies are provided. Target applications of the dataset include: climate and ocean model evaluation; quantification of marine change and variability (including marine heatwaves); climate and ocean-atmosphere processes; and specific applications in ocean ecology, oceanography and geophysics., Measurement(s)temperature of waterTechnology Type(s)satellite imagingFactor Type(s)time • geographic locationSample Characteristic - EnvironmentseaSample Characteristic - LocationEarth (planet) Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.9939638
- Published
- 2019
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