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Dilkushi de Alwis, Alexander Ignatov, John Sapper, Prasanjit Dash, William Pichel,

# P1.62. 5th GOES Users’ Conference:. Overview of the NESDIS heritage AVHRR Sea Surface Temperature Calibration/Validation System. Dilkushi de Alwis, Alexander Ignatov, John Sapper, Prasanjit Dash, William Pichel, Yury Kihai , Xiaofeng Li. Introduction

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Dilkushi de Alwis, Alexander Ignatov, John Sapper, Prasanjit Dash, William Pichel,

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  1. # P1.62 5th GOES Users’ Conference: Overview of the NESDIS heritage AVHRR Sea Surface Temperature Calibration/Validation System Dilkushi de Alwis, Alexander Ignatov, John Sapper, Prasanjit Dash, William Pichel, Yury Kihai, Xiaofeng Li Introduction NOAA satellites provide repetitive daily global coverage of the Earth. For over two decades, the National Environmental Satellite, Data, and Information Service (NESDIS) has been generating Sea Surface Temperature (SST) products operationally from the Advanced Very High Resolution Radiometer (AVHRR). Global AVHRR SSTs are merged with in-situ SSTs and organized into monthly match-up files, which are used to calibrate SST algorithms (early in satellite mission); and then routinely validate SST products (for the lifetime of a platform). Climatological Bauer-Robinson (1985) SSTs, and many other ancillary data from both satellite and in-situ files, are also available on the match-up datasets. Calibration/Validation System Results :Validation Independent match-up data are used to assess the accuracy of operational SST, by analyzing the global Bias and the Root Mean Squared Error (RMSE) of satellite SST minus In-situ SST, from 2001 till the present. Day Night µ  Shown above are the validation Bias (µ) and RMSE () for day time and night time data, after removing outliers based on median statistics. Resulting RMSE’s are from 0.38 to 0.52 during the day time and from 0.31 to0.47 during the night time.

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