Estimation method and system for observing brightness temperature data errors by satellite-borne microwave radiometer

Abstract

The invention discloses an estimation method and system for observing brightness temperature data errors by satellite-borne microwave radiometer. The method comprises the steps: obtaining a group of atmospheric profiles covering a satellite-borne microwave radiometer observation brightness temperature data region through the prediction of a numerical prediction mode, and carrying out interpolationto obtain a satellite-borne microwave radiometer observation brightness temperature TA; sending the atmospheric profile parameters output by the numerical prediction mode into a plurality of different RT modes to obtain a radiation transmission RT mode simulation brightness temperature TB matched with the observation brightness temperature space-time; establishing an equation based on the mathematical model for observing the brightness temperature subtraction simulation brightness temperature OB error and statistical data to carry out error term separation solution, and calculating an observation error of the satellite-borne microwave radiometer; and quantitatively evaluating the observation brightness temperature data quality of the satellite-borne microwave radiometer by solving the estimated observation error of the satellite-borne microwave radiometer. According to the method, the real observation brightness temperature error of the satellite-borne microwave radiometer is separated and estimated from the 'O-B' error, and the evaluation precision of the observation brightness temperature data quality of the satellite-borne microwave radiometer can be improved.

Description

technical field [0001] The invention belongs to the technical field of microwave remote sensing and detection, and more specifically relates to a method and system for estimating the error of brightness temperature data observed by a spaceborne microwave radiometer. Background technique [0002] Atmospheric temperature and humidity are important parameters affecting global meteorology and climate change. Every year, disastrous weather such as tropical storms and typhoons brings huge losses of life and property to many countries. Therefore, the detection of atmospheric temperature and humidity plays an increasingly important role in the research of global weather forecasting. Generally, space-borne multi-frequency microwave radiometers are used to realize global atmospheric detection. Microwave radiometers can detect the vertical distribution of global atmospheric temperature and humidity, water vapor content, precipitation and other space meteorological data all day, all-wea...

AI Technical Summary

Problems solved by technology

However, the main problem of the O-B based method for evaluating the brightness temperature error of space-borne microwave radiometer observations is that the O-B error of the observed brightness temperature and simulated brightness temperature is actually the error of the atmospheric parameters input by the RT model, the calculation error of the RT model, and the space-borne microwave radiation. These three error items are composed of the observation error of the space meter. Traditionally, it is impossible to separate the above three error items from the O-B difference, and it is also impossible to estimate the actual brightness temperature data error of the spaceborne microwave radiometer observation. Therefore, the observation Brightness temperature accuracy assessment performance poses a major limitation

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