2 results about "Surface air temperature" patented technology

The application discloses a shipborne marine atmospheric boundary layer refractive index profile detection system and method, relates to the technical field of marine atmospheric environment monitoring and electromagnetic wave propagation guarantee, and comprises the following steps: acquiring sea-air downward infrared radiation spectrum data and sea surface air temperature, relative humidity and air pressure data; constructing a background atmospheric profile by using reanalysis data, and correcting the initial profile bottom layer by using the sea surface observation air temperature, relative humidity and air pressure data to form a prior state vector; constructing an inversion cost function containing an observation residual term, a background prior term and a sea surface boundary constraint term, and inverting to obtain an atmospheric temperature profile and a relative humidity profile; and calculating an atmospheric refractive index profile according to the temperature profile, the relative humidity profile and the air pressure profile. The application can continuously acquire the marine atmospheric refractive index profile under the shipborne dynamic observation condition, and provides reliable data support for marine electromagnetic propagation environment analysis and waveguide diagnosis.

This invention discloses a high-resolution spatialization method for near-surface air temperature in glacial regions. This method integrates measured data from high-altitude meteorological stations, satellite remote sensing data, and machine learning-optimized spatial interpolation techniques to construct a continuous temperature field under complex terrain conditions. First, by fusing station-measured and satellite remote sensing data, a data complementarity method suitable for sparsely observed areas is established. Based on a machine learning optimization algorithm, spatialized glacial temperature records from meteorological station observations are used as training data, while satellite remote sensing data with broader coverage is employed. Surface temperature retrieved through a radiative transfer model is used as input features to correct the surface temperature of the study area, generating a spatial distribution of air temperature that better matches ground observations. Finally, by fusing altitude and vertical temperature lapse rate as core constraint variables and combining benchmark verification based on station observation data, the accuracy of near-surface air temperature spatialization calculations in high-altitude complex terrain areas is improved.