Utility of CrIS/ATMS temperature and humidity profiles to diagnose the atmospheric duct

Yixing Zhang; Xiaojing Hao; Yan-An Liu; Zhibin Sun

doi:10.1117/12.2320936

18 September 2018 Utility of CrIS/ATMS temperature and humidity profiles to diagnose the atmospheric duct

Yixing Zhang, Xiaojing Hao, Yan-An Liu, Zhibin Sun

Proceedings Volume 10767, Remote Sensing and Modeling of Ecosystems for Sustainability XV; 107671A (2018) https://doi.org/10.1117/12.2320936
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

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.

Citation Download Citation

Yixing Zhang, Xiaojing Hao, Yan-An Liu, and Zhibin Sun "Utility of CrIS/ATMS temperature and humidity profiles to diagnose the atmospheric duct", Proc. SPIE 10767, Remote Sensing and Modeling of Ecosystems for Sustainability XV, 107671A (18 September 2018); https://doi.org/10.1117/12.2320936

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KEYWORDS

Humidity

Satellites

Atmospheric propagation

Atmospheric sciences

Clouds

Data analysis

Diagnostics

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