Retrieval Processing Technique For LEO-LEO Radio Occultation Atmospheric Data and Error Sources Analysis
Published in RemoteSensingScience, 2016
Recommended citation: Fu N. F., Guo P., Wu M.J., etal. Retrieval Processing Technique For LEO-LEO Radio Occultation Atmospheric Data and Error Sources Analysis [J]. RemoteSensingScience, 2016, 4(2): 51 - 64. http://www.ivypub.org/RSS/download/33584.shtml
This paper describes the physical mechanisms, processes and basic calculation principle of the atmospheric inversion algorithm on the LEO-LEO radio occultation data, and analys a variety of error sources (such as clock errors, multipath and LEO satellite orbit errors, etc.) on the inversion results Impact. By statistics of the retrieval temperature and humidity, we found: the existing satellite clock stability and the LEO satellite orbit determination accuracy meet the needs of the occultation inversion; it is necessary to suppress high-amplitude, low-frequency noise on multipath effects. For LEO-LEO radio occultation, the data preprocessing and data inversion process optimization of the paper provides an important solution ideas and technology.
Recommended citation: Fu N. F., Guo P., Wu M.J., etal. Retrieval Processing Technique For LEO-LEO Radio Occultation Atmospheric Data and Error Sources Analysis [J]. RemoteSensingScience, 2016, 4(2): 51 - 64.