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 Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 5
Abstract
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.
Authors and Affiliations
Kohei Arai
Keywords
Related Articles
- EP ID EP316810
- DOI 10.14569/IJACSA.2018.090539
- Views 86
- Downloads 0
Segmentation using Codebook Index Statistics for Vector Quantized Images
In this paper, the segmentation using codebook index statistics (SUCIS) method is proposed for vector-quantized images. Three different codebooks are constructed according to the statistical characteristics (mean, varian...
Non-linear Dimensionality Reduction-based Intrusion Detection using Deep Autoencoder
The intrusion detection has become core part of any network of computers due to increasing amount of digital content available. In parallel, the data breaches and malware attacks have also grown in large numbers which ma...
Non Correlation DWT Based Watermarking Behavior in Different Color Spaces
There are two digital watermarking techniques. Digital watermarking techniques based on correlation and digital watermarking techniques that are not based on correlation. In previous work, we proposed a DWT2 based CDMA i...
Skew Detection/Correction and Local Minima/Maxima Techniques for Extracting a New Arabic Benchmark Database
We propose a set of techniques for extracting a new standard benchmark database for Arabic handwritten scripts. Thresholding, filtering, and skew detection/correction techniques are developed as a pre-processing step of...
Integrating Semantic Features for Enhancing Arabic Named Entity Recognition
Named Entity Recognition (NER) is currently an essential research area that supports many tasks in NLP. Its goal is to find a solution to boost accurately the named entities identification. This paper presents an integra...