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Earth System Science Data The data publishing journal
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Volume 8, issue 1
Earth Syst. Sci. Data, 8, 165–176, 2016
https://doi.org/10.5194/essd-8-165-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Earth Syst. Sci. Data, 8, 165–176, 2016
https://doi.org/10.5194/essd-8-165-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Brief communication 28 Apr 2016

Brief communication | 28 Apr 2016

A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies

Viva Banzon et al.
Data sets

NOAA Optimum Interpolation 1/4 Degree Daily Sea Surface Temperature (OISST) Analysis, Version 2 Reynolds, R. W., Banzon, V. F., and NOAA CDR Program https://doi.org/10.7289/V5SQ8XB5

GHRSST Level 4 mw_ir_OI Global Foundation Sea Surface Temperature analysis, Ver. 1.0. PO.DAAC, CA, USA Remote Sensing Systems https://doi.org/10.5067/GHMWI-4FR01

GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis, Ver. 1.0. PO.DAAC, CA, USA UK Met Office https://doi.org/10.5067/GHOST-4FK01

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Short summary
A sea surface temperature product that is constructed by blending in situ and satellite data with gaps filled using using optimum interpolation is described. Product format and characteristics (e.g., over 30-year time span; 0.25° (~ 25 km) daily resolution) that make it suitable for climate modeling, monitoring and other long-term studies at regional and local scales are described. The history of the product and earlier versions, a common source of confusion, are also discussed.
A sea surface temperature product that is constructed by blending in situ and satellite data...
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