pyrtlib.tb_spectrum.TbCloudRTE.execute#
- TbCloudRTE.execute(only_bt: bool = True) Union[DataFrame, Tuple[DataFrame, Dict[str, ndarray]]] #
This function computes Brightness Temperature and other radiometric parameters.
- Parameters:
only_bt (bool) – If True returns only brightness temperature. Default to True.
Returns a pandas dataframe containing:
- tbtotal:
brightness temperature (K) includes cosmic background; indexed by frequency and elevation angle
- tbatm:
atmospheric brightness temperature (K), no cosmic; background;indexed by frequency and elevation angle
- tmr:
mean radiating temperature of the atmosphere (K); indexed by frequency and elevation angle
- tmrcld:
mean radiating temperature (K) of the lowest cloud layer; indexed by frequency and elevation angle
- taudry:
dry air absorption integrated over each ray path (Np); indexed by frequency and elevation angle
- tauwet:
water vapor absorption integrated over each ray path (Np); indexed by frequency and elevation angle
- tauliq:
cloud liquid absorption integrated over each ray path (Np); indexed by frequency and elevation angle
- tauice:
cloud ice absorption integrated over each ray path (Np); indexed by frequency and elevation angle
and with only_bt=False also a dictionary containing:
- taulaydry:
dry air absorption integrated over each ray path (Np); indexed by frequency, elevation angle and height profile
- taulaywet:
water vapor absorption integrated over each ray path (Np); indexed by frequency, elevation angle and height profile
- taulayliq:
cloud liquid absorption integrated over each ray path (Np); indexed by frequency, elevation angle and height profile
- taulayice:
cloud ice absorption integrated over each ray path (Np); indexed by frequency, elevation angle and height profile
- srho:
water vapor density integrated along each ray path (cm); indexed by elevation angle
- swet:
wet refractivity integrated along each ray path (cm); indexed by elevation angle
- sdry:
dry refractivity integrated along each ray path (cm); indexed by elevation angle
- sliq:
cloud ice density integrated along each ray path (cm); indexed by elevation angle
- sice:
cloud liquid density integrated along each ray path (cm); indexed by elevation angle
- Returns:
A pandas Dataframe with the brigthness temperature simulated. If only_bt = False it also returns all intermediate RT variables.
- Return type:
Union[pandas.DataFrame, Tuple[pandas.DataFrame, Dict[str, numpy.ndarray]]]
Examples using pyrtlib.tb_spectrum.TbCloudRTE.execute
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Performing Downwelling Brightness Temperature calculation
Performing sensitivity of spectroscopic parameters
Performing Upwelling Brightness Temperature calculation
Performing Downwelling Brightness Temperature calculation with Ozone
Performing Upwelling Brightness Temperature calculation using ERA5 Reanalysis Observations.
Performing Upwelling Brightness Temperature calculation using Wyoming Upper Air Observations.
Logarithmic dependence of monochromatic radiance at 22.235 and 183 GHz
Performing Downwelling Brightness Temperature calculation in cloudy condition.