The Case for a Single Channel Composite Arctic Sea Surface Temperature Algorithm

• Main Author: R.F. Vincent
• Format: Article
• Language: English
• Published: MDPI AG 2019-10-01
• Series: Remote Sensing
• Subjects: remote sensing; arctic waters; ice surface temperature; sea ice; marginal ice zones; satellite temperature algorithm
• Online Access: https://www.mdpi.com/2072-4292/11/20/2393

Surface temperatures derived from satellite thermal infrared (TIR) data are critical inputs for assessing climate change in polar environments. Sea and ice surface temperature (SST, IST) are commonly determined with split window algorithms that use the brightness temperature from the 11 μm channel (BT₁₁) as the main estimator and the difference between BT₁₁ and the 12 μm channel (BTD_11−12) to correct for atmospheric water vapor absorption. An issue with this paradigm in the Arctic maritime environment is the occurrence of high BTD_11−12 that is not indicative of atmospheric absorption of BT₁₁ energy. The Composite Arctic Sea Surface Temperature Algorithm (CASSTA) considers three regimes based on BT₁₁ pixel value: seawater, ice, and marginal ice zones. A single channel (BT₁₁) estimator is used for SST and a split window algorithm for IST. Marginal ice zone temperature is determined with a weighted average between the SST and IST. This study replaces the CASSTA split window IST with a single channel (BT₁₁) estimator to reduce errors associated with BTD_11−12 in the split window algorithm. The single channel IST returned improved results in the CASSTA dataset with a mean average error for ice and marginal ice zones of 0.142 K and 0.128 K, respectively.