The evaporation of the sea surface water causes significant changes in the vertical atmospheric environment, which in turn changes the refracting way of the radio wave. It affects the propagation path and the field strength of the radio wave, and has an important impact on the electronic systems such as radar and communication operating. However, there is still a lack of real-time and effective monitoring of the radio wave environment. Hyperspectral infrared data can provide a wide range of temperature and humidity profiles, which are the factors that directly affects refractive index calculation. In this study, regional assimilation of hyperspectral infrared radiances was carried out in a community assimilation system, using GSI coupled with the WRF model, to improve the retrieval of temperature and humidity profiles. The results show that the meteorological field after assimilation can effectively improve the accuracy of the atmospheric duct monitoring.
The accuracy of the temperature and humidity profiles is important for the atmospheric duct estimation, which is a special atmosphere layer for the radio-wave propagation. In order to use the dataset of satellite to monitor the atmospheric duct, we compare the temperature and humidity profiles between the radiosonde observation data (RAOB) and the NOAA-Unique CrIS/ATMS Product System (NUCAPS), and analyze the result of the atmospheric duct. Results show that the retrieved temperature and humidity profiles have higher accuracy under various weather conditions. However, when the RAOB data can calculate the atmospheric duct, the inversion profiles are difficult to monitor the same situation. The temperature inversion and humidity’s sharp decrease with height are the main synoptic conditions for the formation of atmospheric waveguides. Currently, the temperature and humidity profile of satellite inversion still lack capturing of turning point information. In order to effectively improve the application of satellite inversion data in atmospheric duct estimation, it is necessary to strengthen the profile’s vertical resolution and humidity inversion accuracy.
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