Relative Humidity Profile Estimation Method with AIRS (Atmospheric Infrared Sounder) Data by Means of SDM (Steepest Descend Method) with the Initial Value Derived from Linear Estimation

Relative humidity profile estimation method with AIRS (Atmospheric Infrared Sounder) data by means of SDM (Steepest Descend Method) with the initial value derived from LED: Linear Estimation Method is also proposed. Through experiments, it is found that there is almost 15 (%) of relative humidity estimation error. Therefore, it can be said that the relative humidity is still tough issue for retrieval. It is also found that the estimation error does not depend on the designated atmospheric models, Mid-Latitude Summer/Winter, Tropic. Even if the assigned atmospheric model is not correct, the proposed SDM based method allows almost same estimated relative humidity. In other word, it is robust against atmospheric model.

@article{Arai2018,
  title     = {Relative Humidity Profile Estimation Method with AIRS (Atmospheric Infrared Sounder) Data by Means of SDM (Steepest Descend Method) with the Initial Value Derived from Linear Estimation},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {5},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJACSA.2018.090539},
  url       = {https://doi.org/10.14569/IJACSA.2018.090539}
}