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Research Article | Open Access |

Evaluation of Regressive Analysis Based Sea Surface Temperature Estimation Accuracy with NCEP/GDAS Data

Author 1: Kohei Arai
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 3, No. 11 · Published 2012

DOI: https://doi.org/10.14569/IJACSA.2012.031108

Abstract

In order to evaluate the skin surface temperature (SSST) estimation accuracy with MODIS data, 84 of MODIS scenes together with the match-up data of NCEP/GDAS are used. Through regressive analysis, it is found that 0.305 to 0.417 K of RMSE can be achieved. Furthermore, it also is found that band 29 is effective for atmospheric correction (30.6 to 38.8% of estimation accuracy improvement). If single coefficient set for the regressive equation is used for all the cases, SSST estimation accuracy is around 1.969 K so that the specific coefficient set for the five different cases have to be set.

Keywords

How to Cite this Article

Arai, K. (2012). Evaluation of Regressive Analysis Based Sea Surface Temperature Estimation Accuracy with NCEP/GDAS Data. International Journal of Advanced Computer Science and Applications, 3(11). https://doi.org/10.14569/IJACSA.2012.031108

Arai, Kohei. "Evaluation of Regressive Analysis Based Sea Surface Temperature Estimation Accuracy with NCEP/GDAS Data." International Journal of Advanced Computer Science and Applications, vol. 3, no. 11, 2012, https://doi.org/10.14569/IJACSA.2012.031108.

@article{Arai2012,
  title     = {Evaluation of Regressive Analysis Based Sea Surface Temperature Estimation Accuracy with NCEP/GDAS Data},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {3},
  number    = {11},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJACSA.2012.031108},
  url       = {https://doi.org/10.14569/IJACSA.2012.031108}
}

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