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A retrieval algorithm for satellite remote sensing of the nighttime global distribution of the sodium layer
Institution:1. College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China;2. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin, China;3. School of Resources and Environmental Science and Engineering, Hubei University of Science and Technology, Xianning, China;4. School of Geodesy and Geomatics, Wuhan University, Wuhan, China
Abstract:A new retrieval method for satellite remote sensing of global sodium during nighttime is proposed. This method uses satellite limb observations of ozone density, neutral temperature, and Na D nightglow volume emission rate to retrieve sodium density. Our calculations show that, in the ideal condition in which there is no measurement noise, the retrieval error in the main region of sodium layer is very small (less than 1%). The retrieval error is mainly determined by the uncertainties in the observations of ozone, temperature and the Na D-line nightglow emission.
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