The invention relates to an inversion method for the surface
liquid water content of an Antarctic ice cover based on a
genetic algorithm optimization
radiation transfer model, and the method comprises the steps: S1, obtaining the
radiation brightness temperature data of an L
wave band, and constructing an Antarctic ice cover
brightness temperature distribution diagram containing
time information at different observation angles based on the
radiation brightness temperature data; s2, acquiring brightness temperature observation brightness temperature based on the South Pole ice cover brightness temperature
distribution diagram, preprocessing the observation brightness temperature, screening V polarization and H polarization brightness temperature data with incident angles of 22.5-62.5 degrees, and calculating a daily mean value; s3, constructing a multi-level radiation transmission model of the South Pole ice cover, and modeling the key parameters; s4, the brightness temperature of each layer of structure is calculated, a Kirchhoff coefficient is obtained, and the atmospheric bottom
radiation transfer brightness temperature is calculated based on the Kirchhoff coefficient and the brightness temperature; and S5, constructing a
fitness function, and solving the optimal accumulated
snow density and
liquid water content by using a
genetic algorithm. Compared with the prior art, the method overcomes the limitation that the traditional empirical threshold method can only perform binary detection on the
snow melting state, and realizes quantification of the
liquid water content in the
snow.