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Generation of Sea Surface Temperature Products Considering Cloud Effects Using NOAA/AVHRR Data in the TeraScan System: Case Study for May Data  

Yang, Sung-Soo (Korea Ocean Satellite Center, Korea Ocean Research & Development Institute Ansan)
Yang, Chan-Su (Korea Ocean Satellite Center, Korea Ocean Research & Development Institute Ansan)
Park, Kwang-Soon (Climate Change & Coastal Disaster, Korea Ocean Research & Development Institute Ansan)
Publication Information
Journal of the Korean Society for Marine Environment & Energy / v.13, no.3, 2010 , pp. 165-173 More about this Journal
Abstract
A cloud detection method is introduced to improve the reliability of NOAA/AVHRR Sea Surface Temperature (SST) data processed during the daytime and nighttime in the TeraScan System. In daytime, the channels 2 and 4 are used to detect a cloud using the three tests, which are spatial uniformity tests of brightness temperature (infrared channel 4) and channel 2 albedo, and reflectivity threshold test for visible channel 2. Meanwhile, the nighttime cloud detection tests are performed by using the channels 3 and 4, because the channel 2 data are not available in nighttime. This process include the dual channel brightness temperature difference (ch3 - ch4) and infrared channel brightness temperature threshold tests. For a comparison of daytime and nighttime SST images, two data used here are obtained at 0:28 (UTC) and 21:00 (UTC) on May 13, 2009. 6 parameters was tested to understand the factors that affect a cloud masking in and around Korean Peninsula. In daytime, the thresholds for ch2_max cover a range 3 through 8, and ch4_delta and ch2_delta are fixed on 5 and 2, respectively. In nighttime, the threshold range of ch3_minus_ch4 is from -1 to 0, and ch4_delta and min_ch4_temp have the fixed thresholds with 3.5 and 0, respectively. It is acceptable that the resulted images represent a reliability of SST according to the change of cloud masking area by each level. In the future, the accuracy of SST will be verified, and an assimilation method for SST data should be tested for a reliability improvement considering an atmospheric characteristic of research area around Korean Peninsula.
Keywords
Cloud detection; NOAA/AVHRR; SST; TeraScan system;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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