spectral_surf_reflTessem

Workspace.spectral_surf_reflTessem(self, spectral_surf_refl: MuelmatVector = self.spectral_surf_refl, spectral_surf_refl_jac: MuelmatMatrix = self.spectral_surf_refl_jac, freq_grid: AscendingGrid = self.freq_grid, surf_field: SurfaceField = self.surf_field, ray_point: PropagationPathPoint = self.ray_point, jac_targets: JacobianTargets = self.jac_targets, tessem_neth: TessemNN = self.tessem_neth, tessem_netv: TessemNN = self.tessem_netv) → None

Compute polarized specular ocean reflectance with TESSEM2.

The method reads surface temperature from the canonical t entry and the properties "wind speed" [m/s] and "salinity" [kg/kg] from surf_field. Spatially varying fields and surface Jacobian targets for all three inputs are supported. Kirchhoff-consistent emission is supplied by the closed-surface agenda used by spectral_radSurfaceReflectance().

Author: The ARTS developers

Parameters:

  • spectral_surf_refl (~pyarts3.arts.MuelmatVector, optional) – Spectral surface reflectance. Defaults to self.spectral_surf_refl. [OUT]

  • spectral_surf_refl_jac (~pyarts3.arts.MuelmatMatrix, optional) – Spectral surface reflectance jacobian. Defaults to self.spectral_surf_refl_jac. [OUT]

  • freq_grid (~pyarts3.arts.AscendingGrid, optional) – A frequency grid. Unit: Hz. Defaults to self.freq_grid. [IN]

  • surf_field (~pyarts3.arts.SurfaceField, optional) – The surface field. Defaults to self.surf_field. [IN]

  • ray_point (~pyarts3.arts.PropagationPathPoint, optional) – A single path point. Defaults to self.ray_point. [IN]

  • jac_targets (~pyarts3.arts.JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. Defaults to self.jac_targets. [IN]

  • tessem_neth (~pyarts3.arts.TessemNN, optional) – TESSEM neural network for horizontal-polarization emissivity. Defaults to self.tessem_neth. [IN]

  • tessem_netv (~pyarts3.arts.TessemNN, optional) – TESSEM neural network for vertical-polarization emissivity. Defaults to self.tessem_netv. [IN]