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Research Article | Open Access |

Method for Improvement of Ocean Wind Speed Estimation Accuracy by Taking into Account the Relation between Wind Speed and Wind Direction

Author 1: Kohei Arai Author 2: Kenta Azuma
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 13, No. 1 · Published 2022

DOI: https://doi.org/10.14569/IJACSA.2022.0130107

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Abstract

A method for improvement of ocean wind speed estimation accuracy by taking into account the relation between wind speed and wind direction is proposed. Brightness temperature observed with microwave radiometer onboard satellite is modified with microwave radiometer derived wind direction proposed by Frank Wentz. Using the modified brightness temperature, more precise wind speed is estimated. Experiments with AMSR-E and NCEP GDAS data show improvements of wind speed estimation in comparison to the existing method based on the geophysical model of Frank Wentz together with the retrieval algorithm of Akira Shibata.

Keywords

Sea surface wind speed (WS) advanced microwave scanning radiometer for erath observing system (AMSR-E) NCEP Global Data Assimilation System (GDAS) relative wind direction (RWD)

How to Cite this Article

Arai, K., & Azuma, K. (2022). Method for Improvement of Ocean Wind Speed Estimation Accuracy by Taking into Account the Relation between Wind Speed and Wind Direction. International Journal of Advanced Computer Science and Applications, 13(1). https://doi.org/10.14569/IJACSA.2022.0130107

Arai, Kohei, and Kenta Azuma. "Method for Improvement of Ocean Wind Speed Estimation Accuracy by Taking into Account the Relation between Wind Speed and Wind Direction." International Journal of Advanced Computer Science and Applications, vol. 13, no. 1, 2022, https://doi.org/10.14569/IJACSA.2022.0130107.

@article{Arai2022,
  title     = {Method for Improvement of Ocean Wind Speed Estimation Accuracy by Taking into Account the Relation between Wind Speed and Wind Direction},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {13},
  number    = {1},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai and Kenta Azuma},
  doi       = {10.14569/IJACSA.2022.0130107},
  url       = {https://doi.org/10.14569/IJACSA.2022.0130107}
}

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