Paper
30 August 2023 Inversion of tropospheric temperature and humidity profile based on atmospheric empirical database
Yixiao Sun, Zhiqian Li, Zixuan Jiao, Hao Zhang
Author Affiliations +
Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 1279724 (2023) https://doi.org/10.1117/12.3007370
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China
Abstract
In order to expand the adaptability of the microwave radiometer (MWR) to the marine environment, the MWR tropospheric temperature and humidity profile system for the marine environment was developed. An idea of retrieving the 0~10km temperature and humidity profile by integrating the atmospheric experience database and the differential evolution algorithm (DE) was proposed. Through a large number of temperature and humidity profile simulation calculations, the feasibility of the algorithm was finally proved. The simulation results show that the root mean squared error (RMSE) of temperature profile retrieved by DE is 4.3K, the mean absolute error (MAE) is 3.4K, the RMSE of humidity retrieved by DE is 22.9%, and the MAE is 19.1%. The algorithm based on the fusion of atmospheric experience database and DE has the characteristics of independent of historical data, which provides a new idea for the marine atmospheric detection lacking of historical data.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yixiao Sun, Zhiqian Li, Zixuan Jiao, and Hao Zhang "Inversion of tropospheric temperature and humidity profile based on atmospheric empirical database", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 1279724 (30 August 2023); https://doi.org/10.1117/12.3007370
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KEYWORDS
Air temperature

Relative humidity

Data modeling

Humidity

Atmospheric modeling

Temperature metrology

Databases

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