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
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Performing sensitivity of spectroscopic parameters
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Performing Upwelling Brightness Temperature calculation
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Performing Downwelling Brightness Temperature calculation with Ozone
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Performing Upwelling Brightness Temperature calculation using ERA5 Reanalysis Observations.
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Performing Upwelling Brightness Temperature calculation using Wyoming Upper Air Observations.
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Logarithmic dependence of monochromatic radiance at 22.235 and 183 GHz
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Performing Downwelling Brightness Temperature calculation in cloudy condition.