A bias correction method for FY-3C VIRR SST data. Issue 5 (4th May 2017)

• Record Type: Journal Article
• Authors: Liao, Zhihong; Dong, Qing; Xue, Cunjin
• Is Part Of: Remote sensing letters. Volume 8:Issue 5(2017)
• Page Start: 429
• Page End: 437
• Publication Date: 2017-05-04
• Subjects: Remote sensing -- Periodicals; Remote sensing; Periodicals; 621.3678
• DOI: 10.1080/2150704X.2017.1280199
• Languages: English
• ISSNs: 2150-704X

Abstract

ABSTRACT: A bias correction method was proposed for correcting the significant negative sea surface temperature (SST) biases in Fengyun-3C (FY-3C) visible and infrared radiometer (VIRR) products. The multichannel SST algorithm (MCSST) for the daytime SST and night-time SST of VIRR products are modified for estimating the debiased VIRR SSTs, and the optimal local matchup data are selected for each SST observations based on the distance to each parts of regressors in R -space. Compared with the probability density function matching technique for bias correction, the proposed method can better remove the negative biases and decrease the standard deviations of biases.