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Thus, the slope (closer to 1), the intercept (closer to 0) and the above-mentioned statistics are used to evaluate the comparison between MCSST algorithms and the in situ records.
The MCSST algorithms were first evaluated over the whole AVHRR dataset.
In this case, the mean difference and slope of the SMA model indicated an overestimation of the MCSST algorithm in respect to in situ records.
These results show significant correlations between satellite and in situ data, and a positive deviation of the MCSST algorithm from the in situ records.
MCSST algorithms were generated from the correlation between satellite data and temperature from buoys located mainly in the tropical Pacific Ocean.
In order to understand the performance of MCSST and NLSST algorithms, it would be interesting to study the effect of the air-sea interaction on the atmospheric absorption of infrared radiation, as well as other sources of deviation between the satellite SST and the in situ temperature, such as the "cool skin layer effect" (Minnet, 1991).
However, SST derived from the MCSST algorithm showed considerably positive biases.
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- MCSST Algorithm Evaluation System
- McSweeney's Quarterly Concern
- MCT8 deficiency