Paper
3 June 2013 VIIRS-derived SST at the Naval Oceanographic Office: from evaluation to operation
Jean-François P. Cayula, Douglas A. May, Bruce D. McKenzie, Keith D. Willis
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Abstract
The Naval Oceanographic Office (NAVOCEANO) produces Sea Surface Temperature (SST) retrievals from satellite data. NAVOCEANO also obtains satellite-derived SST data sets from other groups. To provide consistency for assimilation into analyses and models, all the SST data sets are evaluated for their accuracy with the same methodology. In this paper, the focus is SST derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor on board the Suomi National Polar-orbiting Partnership (NPP) satellite. Of particular interest is the evaluation of NAVOCEANO produced SST with its NAVOCEANO Cloud mask, the VIIRS cloud mask, and VIIRS Environmental Data Record SST. The evaluation results show that these products are in some ways comparable, with similar strengths and weaknesses, although they target different customers. For comparison, the reliability results for the Meteorological Operational (METOP-A) satellite-derived SST, which is a NAVOCEANO operational product, are presented. As a by-product of the NAVOCEANO VIIRS SST evaluation, the non-linear SST (NLSST) equations used to derive the SST values were found to be less than optimal, depending on the unit of the field temperature term. NAVOCEANO VIIRS SST employs an expanded NLSST equation, which in effect refines the approximation of the gamma term by adding an offset. In view of the evaluation results, NAVOCEANO VIIRS SST became operational at the end of January 2013.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jean-François P. Cayula, Douglas A. May, Bruce D. McKenzie, and Keith D. Willis "VIIRS-derived SST at the Naval Oceanographic Office: from evaluation to operation", Proc. SPIE 8724, Ocean Sensing and Monitoring V, 87240S (3 June 2013); https://doi.org/10.1117/12.2017965
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Cited by 11 scholarly publications.
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KEYWORDS
Clouds

Satellites

Error analysis

Reliability

Satellite navigation systems

Coastal modeling

Radiometry

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