Comparison of neutrospheric temperature and pressure between MSISE-90 model and ECMWF reanalysis data

Abstract

This paper presents the error characteristics of MSISE-90, and data analysis is performed using statistical comparison. In this experiment, the absolute error, root mean square error and standard deviation of temperature and pressure for each month, latitude and geometric height are calculated, and the curve of annual global error characteristics is obtained at the same time. The result shows that there are obvious monthly periodic variations of the temperature and pressure error data. The annual global error increases with height: the annual global error of temperature is more than 3% at the height of 70km, while the annual global error of pressure is more than 15% at the same height. This article get a detailed monthly and annual average error characteristics of MSISE-90 model, which lay the foundation for using MSISE-90 model as a priori background field in the accurate processing of remote sensing data.