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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Method for Water Vapor Profile Retievals by Means of Minimizing Difference Between Estimated and Actual Brightness Temperatures Derived from AIRS data and Radiative Transfer Model

Author 1: Kohei Arai
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 3, No. 12 · Published 2012

DOI: https://doi.org/10.14569/IJACSA.2012.031223

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Abstract

Method for water vapor profile retrievals by means of minimizing difference between estimated and actual brightness temperatures derived from AIRS data and radiative transfer model is proposed. Initial value is determined by linearized radiative transfer equation. It is found that this initial value determination method makes improvement of estimation accuracy together with reducing convergence time.

Keywords

infrared sounder non-linear optimization method linearized inversion.

How to Cite this Article

Arai, K. (2012). Method for Water Vapor Profile Retievals by Means of Minimizing Difference Between Estimated and Actual Brightness Temperatures Derived from AIRS data and Radiative Transfer Model. International Journal of Advanced Computer Science and Applications, 3(12). https://doi.org/10.14569/IJACSA.2012.031223

Arai, Kohei. "Method for Water Vapor Profile Retievals by Means of Minimizing Difference Between Estimated and Actual Brightness Temperatures Derived from AIRS data and Radiative Transfer Model." International Journal of Advanced Computer Science and Applications, vol. 3, no. 12, 2012, https://doi.org/10.14569/IJACSA.2012.031223.

@article{Arai2012,
  title     = {Method for Water Vapor Profile Retievals by Means of Minimizing Difference Between Estimated and Actual Brightness Temperatures Derived from AIRS data and Radiative Transfer Model},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {3},
  number    = {12},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJACSA.2012.031223},
  url       = {https://doi.org/10.14569/IJACSA.2012.031223}
}

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