Spaceborne experiment “Convergence”: the vertical profile of atmospheric humidity retrieving by passive microwave methods

摘要

In this paper, the study of the possibility of absolute atmospheric humidity profile retrieving using an artificial neural network based on modeling the radiometric data of the passive microwave complex MIRS, which is part of the scientific payload of the SE “Convergence”, is carried out. The process of MIRS radiometric data modeling is described. The choice of the optimal characteristics of the neural network is carried out. The necessity of having information about the atmospheric temperature profile for better accuracy of solving the inverse problem is shown. The advantages of using “differential” channels in the 22 GHz absorption band to retrieve the moisture profile are demonstrated. The expected errors in retrieving the atmospheric humidity profile during the “Convergence” at altitudes from 0 to 10 km are given.