Validation of CLAVR-x cloud detection over ocean using AVHRR GAC sea surface temperature

Aleksandar Jelenak; Andrew K. Heidinger

doi:10.1117/12.606848

5 January 2005 Validation of CLAVR-x cloud detection over ocean using AVHRR GAC sea surface temperature

Proceedings Volume 5658, Applications with Weather Satellites II; (2005) https://doi.org/10.1117/12.606848
Event: Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2004, Honolulu, Hawai'i, United States

Abstract

Validation of the CLAVR-x cloud detection algorithm over ocean is presented in this paper. CLAVR-x is the latest AVHRR processor developed at the NOAA/NESDIS Office of Research and Applications, with much improved cloud detection algorithm than its CLAVR predecessors. As our first validation study, we have selected sea surface temperature obtained from the NOAA-16 AVHRR GAC data for July 2001. The SST data was matched-up with global buoy data, which was assumed to be ground truth. Both fixed and drifting buoys were considered. This analysis indicates that the CLAVR-x cloud masking allows for generation of sea surface temperature values that are in good agreement with in situ buoys.

Citation Download Citation

Aleksandar Jelenak and Andrew K. Heidinger "Validation of CLAVR-x cloud detection over ocean using AVHRR GAC sea surface temperature", Proc. SPIE 5658, Applications with Weather Satellites II, (5 January 2005); https://doi.org/10.1117/12.606848

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KEYWORDS

Clouds

Detection and tracking algorithms

Algorithm development

Contamination

Error analysis

Satellites

Statistical analysis

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