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Open AccessArticle

Validation of S-NPP VIIRS Sea Surface Temperature Retrieved from NAVO

by Qianguang Tu 1,2, Delu Pan 1,2 and Zengzhou Hao 2,*
Department of Earth Sciences, Zhejiang University, Hangzhou 310027, China
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China
Author to whom correspondence should be addressed.
Academic Editors: Changyong Cao, Xiaofeng Li and Prasad S. Thenkabail
Remote Sens. 2015, 7(12), 17234-17245;
Received: 15 October 2015 / Revised: 26 November 2015 / Accepted: 7 December 2015 / Published: 18 December 2015
(This article belongs to the Collection Visible Infrared Imaging Radiometers and Applications)
The validation of sea surface temperature (SST) retrieved from the new sensor Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-Orbiting Partnership (S-NPP) Satellite is essential for the interpretation, use, and improvement of the new generation SST product. In this study, the magnitude and characteristics of uncertainties in S-NPP VIIRS SST produced by the Naval Oceanographic Office (NAVO) are investigated. The NAVO S-NPP VIIRS SST and eight types of quality-controlled in situ SST from the National Oceanic and Atmospheric Administration in situ Quality Monitor (iQuam) are condensed into a Taylor diagram. Considering these comparisons and their spatial coverage, the NAVO S-NPP VIIRS SST is then validated using collocated drifters measured SST via a three-way error analysis which also includes SST derived from Moderate Resolution Imaging Spectro-radiometer (MODIS) onboard AQUA. The analysis shows that the NAVO S-NPP VIIRS SST is of high accuracy, which lies between the drifters measured SST and AQUA MODIS SST. The histogram of NAVO S-NPP VIIRS SST root-mean-square error (RMSE) shows normality in the range of 0–0.6 °C with a median of ~0.31 °C. Global distribution of NAVO VIIRS SST shows pronounced warm biases up to 0.5 °C in the Southern Hemisphere at high latitudes with respect to the drifters measured SST, while near-zero biases are observed in AQUA MODIS. It means that these biases may be caused by the NAVO S-NPP VIIRS SST retrieval algorithm rather than the nature of the SST. The reasons and correction for this bias need to be further studied. View Full-Text
Keywords: SST; S-NPP VIIRS; three-way error analysis; Taylor diagram; NAVO SST; S-NPP VIIRS; three-way error analysis; Taylor diagram; NAVO
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Tu, Q.; Pan, D.; Hao, Z. Validation of S-NPP VIIRS Sea Surface Temperature Retrieved from NAVO. Remote Sens. 2015, 7, 17234-17245.

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