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Remote Sens. 2016, 8(11), 962; doi:10.3390/rs8110962

Global Daily High-Resolution Satellite-Based Foundation Sea Surface Temperature Dataset: Development and Validation against Two Definitions of Foundation SST

Center for Atmospheric and Oceanic Studies, Graduate School of Science, Tohoku University, Aramaki-aza-Aoba 6-3, Aoba, Sendai 980-8576, Japan
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Academic Editors: Xiaofeng Li and Prasad S. Thenkabail
Received: 26 August 2016 / Revised: 28 October 2016 / Accepted: 6 November 2016 / Published: 21 November 2016
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Abstract

This paper describes a global, daily sea surface temperature (SST) analysis based on satellite microwave and infrared measurements. The SST analysis includes a diurnal correction method to estimate foundation SST (SST free from diurnal variability) using satellite sea surface wind and solar radiation data, frequency splitting to reproduce intra-seasonal variability and a quality control procedure repeated twice to avoid operation errors. An optimal interpolation method designed for foundation SST is applied to blend the microwave and infrared satellite measurements. Although in situ SST measurements are not used for bias correction adjustments in the analysis, the output product, with a spatial grid size of 0.1°, has an accuracy of 0.48 C and 0.46 C compared to the in situ foundation SST measurements derived by drifting buoys and Argo floats, respectively. The same quality against the two types of in situ foundation SST (drifters and Argo) suggests that the two definitions of foundation SST proposed by past studies can provide same-quality information about the sea surface state underlying the diurnal thermocline. View Full-Text
Keywords: sea surface temperature; quality control; optimal interpolation; foundation sea surface temperature; diurnal sea surface temperature correction sea surface temperature; quality control; optimal interpolation; foundation sea surface temperature; diurnal sea surface temperature correction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Hosoda, K.; Sakaida, F. Global Daily High-Resolution Satellite-Based Foundation Sea Surface Temperature Dataset: Development and Validation against Two Definitions of Foundation SST. Remote Sens. 2016, 8, 962.

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