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Mean atmospheric temperature model estimation for GNSS meteorology Using AIRS and AMSU data |
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| รหัสดีโอไอ | |
| Creator | 1. Rata Suwantong 2. Panu Srestasathiern 3. Chalermchon Satirapod 4. Shi Chuang 5. Chaiyaporn Kitpracha |
| Title | Mean atmospheric temperature model estimation for GNSS meteorology Using AIRS and AMSU data |
| Publisher | Faculty of Engineering, Khon Kaen University |
| Publication Year | 2560 |
| Journal Title | Engineering and Applied Science Research |
| Journal Vol. | 44 |
| Journal No. | 1 |
| Page no. | 46-52 |
| Keyword | Precipitable Water Vapour (PWV), Global Navigation Satellite System (GNSS), Mean atmospheric temperature, Atmospheric Infrared Sounder (AIRS), Advanced Microwave Sounding Unit (AMSU) |
| ISSN | 2539-6161 |
| Abstract | In this paper, the problem of modeling the relationship between the mean atmospheric and air surface temperatures is addressed. Particularly, the major goal is to estimate the model parameter for regional scale i.e., Thailand. To formulate the relationship between the mean atmospheric and air surface temperatures, the triply modulated cosine function was adopted to model the surface temperature as a periodic function. The surface temperature is then converted to mean atmospheric temperature by a linear function. The parameters of the model is estimated using extended Kalman filter. Traditionally, the radiosonde data is used as measurement. In this paper, the satellite data from atmospheric infrared sounder, and advanced microwave sounding unit sensors was used because it is free of charge and has global coverage and high temporal resolution. The performance of the proposed model was tested against that of a global model via an accuracy assessment of the computed GNSS-derived PWV. |
