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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.
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Cited articles  
Banzon, V. F., Reynolds, R. W., Stokes, D., and Xue, Y.: A 1/4° spatial resolution daily sea surface temperature climatology based on a blended satellite and in situ analysis, J. Climate, 27, 8221–8228, https://doi.org/10.1175/JCLI-D-14-00293.1, 2014.
Bates, J. J. and Privette, J. L.: A maturity model for assessing the completeness of climate data records, EOS Trans. AGU, 44, 441, https://doi.org/10.1029/2012EO440006, 2012.
Bogdanoff, A. S., Westphal, D. L., Campbell, J. R., Cummings, J. A., Hyer, E. J., Reid, J. S., and Clayson, C. A.: Sensitivity of infrared sea surface temperature retrievals to the vertical distribution of airborne dust aerosol, Remote Sens. Environ., 159, 1–13, https://doi.org/10.1016/j.rse.2014.12.002, 2015.
Bojinski, S., Verstraete, M., Peterson, T. C., Richter, C., Simmons, A., and Zemp, M.: The Concept of essential climate variables in support of climate research, applications, and policy, B. Am. Meteorol. Soc., 95, 1431–1443, https://doi.org/10.1175/BAMS-D-13-00047.1, 2014.
Casey, K. S., Brandon, T. B., Cornillon, P., and Evans, R.: The Past, Present and Future of the AVHRR Pathfinder SST Program, in: Oceanography from Space: Revisited, edited by: Barale, V., Gower, J. F. R., and Alberotanza, L., Springer, https://doi.org/10.1007/978-90-481-8681-5_16, 2010.
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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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