f_gridFromSensorHIRS

Workspace.f_gridFromSensorHIRS(self: pyarts.arts._Workspace, f_grid: pyarts.arts.WorkspaceVariable | pyarts.arts.Vector | None = self.f_grid, f_backend: pyarts.arts.WorkspaceVariable | pyarts.arts.Vector | None = self.f_backend, backend_channel_response: pyarts.arts.WorkspaceVariable | pyarts.arts.ArrayOfGriddedField1 | None = self.backend_channel_response, spacing: pyarts.arts.WorkspaceVariable | pyarts.arts.Numeric | None = 5e8, verbosity: pyarts.arts.WorkspaceVariable | pyarts.arts.Verbosity | None = self.verbosity) → None

Automatically calculate f_grid to match the sensor.

This method is handy if you are simulating a HIRS-type instrument, consisting of a few discrete channels.

It calculates f_grid to match the instrument, as given by the nominal band frequencies f_backend and the spectral channel response functions given by backend_channel_response.

You have to specify the desired spacing in the keyword spacing, which has a default value of 5e8 Hz.

The produced grid will not have exactly the requested spacing, but will not be coarser than requested. The algorithm starts with the band edges, then adds additional points until the spacing is at least as fine as requested.

There is a similar method for AMSU-type instruments, see f_gridFromSensorAMSU().

Author(s): Stefan Buehler

Parameters:

  • f_grid (Vector, optional) – The frequency grid for monochromatic pencil beam calculations. See f_grid, defaults to self.f_grid [OUT]

  • f_backend (Vector, optional) – The frequency position of each backend (spectrometer) channel. See f_backend, defaults to self.f_backend [IN]

  • backend_channel_response (ArrayOfGriddedField1, optional) – The response of each backend channel. See backend_channel_response, defaults to self.backend_channel_response [IN]

  • spacing (Numeric, optional) – Desired grid spacing in Hz. Defaults to 5e8 [IN]

  • verbosity (Verbosity) – ARTS verbosity. See verbosity, defaults to self.verbosity [IN]