verma-net-radiation 1.2.1

Net Radiation and Daily Upscaling Remote Sensing in Python

Net Radiation and Daily Upscaling Remote Sensing in Python

This Python package implements the net radiation and daily upscaling methods described in Verma et al 2016.

Gregory H. Halverson (they/them)
[e-mail]
Lead developer
NASA Jet Propulsion Laboratory 329G

Installation

This package is distributed using the pip package manager as verma-net-radiation with dashes.

pip install verma-net-radiation

Usage

Import this package as verma_net_radiation with underscores.

This module provides functions to calculate instantaneous net radiation and its components, integrate daily net radiation, and process radiation data from a DataFrame. Below is a detailed explanation of each function and how to use them.

verma_net_radiation

Description:
Calculates instantaneous net radiation and its components based on input parameters.

Parameters:

• SWin (Union[Raster, np.ndarray, float]): Incoming shortwave radiation (W/m²).
• albedo (Union[Raster, np.ndarray, float]): Surface albedo (unitless, constrained between 0 and 1).
• ST_C (Union[Raster, np.ndarray, float]): Surface temperature in Celsius.
• emissivity (Union[Raster, np.ndarray, float]): Surface emissivity (unitless, constrained between 0 and 1).
• Ta_C (Union[Raster, np.ndarray, float]): Air temperature in Celsius.
• RH (Union[Raster, np.ndarray, float]): Relative humidity (fractional, e.g., 0.5 for 50%).
• cloud_mask (Union[Raster, np.ndarray, float], optional): Boolean mask indicating cloudy areas (True for cloudy).

Returns: A dictionary containing:

• "SWout": Outgoing shortwave radiation (W/m²).
• "LWin": Incoming longwave radiation (W/m²).
• "LWout": Outgoing longwave radiation (W/m²).
• "Rn": Instantaneous net radiation (W/m²).

Example:

results = verma_net_radiation(
    SWin=SWin_array,
    albedo=albedo_array,
    ST_C=surface_temp_array,
    emissivity=emissivity_array,
    Ta_C=air_temp_array,
    RH=relative_humidity_array,
    cloud_mask=cloud_mask_array
)

daily_Rn_integration_verma

Description:
Calculates daily net radiation using solar parameters.

Parameters:

• Rn (Union[Raster, np.ndarray]): Instantaneous net radiation (W/m²).
• hour_of_day (Union[Raster, np.ndarray]): Hour of the day (0-24).
• doy (Union[Raster, np.ndarray], optional): Day of the year (1-365).
• lat (Union[Raster, np.ndarray], optional): Latitude in degrees.
• sunrise_hour (Union[Raster, np.ndarray], optional): Hour of sunrise.
• daylight_hours (Union[Raster, np.ndarray], optional): Total daylight hours.

Returns:

• Raster: Daily net radiation (W/m²).

Example:

daily_Rn = daily_Rn_integration_verma(
    Rn=Rn_array,
    hour_of_day=hour_of_day_array,
    doy=day_of_year_array,
    lat=latitude_array,
    sunrise_hour=sunrise_hour_array,
    daylight_hours=daylight_hours_array
)

---

verma_net_radiation_table

Description:
Processes a DataFrame containing inputs for Verma net radiation calculations and appends the results as new columns.

Parameters:

• verma_net_radiation_inputs_df (DataFrame): A DataFrame containing the following columns:
  • Rg: Incoming shortwave radiation (W/m²).
  • albedo: Surface albedo (unitless, constrained between 0 and 1).
  • ST_C: Surface temperature in Celsius.
  • EmisWB or emissivity: Surface emissivity (unitless, constrained between 0 and 1).
  • Ta_C: Air temperature in Celsius.
  • RH: Relative humidity (fractional, e.g., 0.5 for 50%).

Returns:

• DataFrame: A copy of the input DataFrame with additional columns for the calculated radiation components:
  • SWout: Outgoing shortwave radiation (W/m²).
  • LWin: Incoming longwave radiation (W/m²).
  • LWout: Outgoing longwave radiation (W/m²).
  • Rn: Instantaneous net radiation (W/m²).

Example:

output_df = verma_net_radiation_table(input_df)

References

Brutsaert, W. (1975). On a Derivable Formula for Long‐Wave Radiation from Clear Skies. Water Resources Research, 11(5), 742–744. https://doi.org/10.1029/WR011i005p00742
Empirical model for clear-sky atmospheric emissivity, used in the calculation of incoming longwave radiation.

Liou, K. N. (2002). An Introduction to Atmospheric Radiation (2nd ed.). Academic Press. (See Eq. 2.3.1)
Textbook reference for the Stefan-Boltzmann Law and radiative transfer theory, used for outgoing longwave radiation calculations.

Stefan, J. (1879). Über die Beziehung zwischen der Wärmestrahlung und der Temperatur. Sitzungsberichte der mathematisch-naturwissenschaftlichen Classe der kaiserlichen Akademie der Wissenschaften, 79, 391–428.
Original publication of the Stefan-Boltzmann Law, fundamental to blackbody radiation calculations.

Verma, M., Fisher, J. B., Mallick, K., Ryu, Y., Kobayashi, H., Guillaume, A., Moore, G., Ramakrishnan, L., Hendrix, V. C., Wolf, S., Sikka, M., Kiely, G., Wohlfahrt, G., Gielen, B., Roupsard, O., Toscano, P., Arain, A., & Cescatti, A. (2016). Global surface net-radiation at 5 km from MODIS Terra. Remote Sensing, 8, 739. Link
Primary methodology for net radiation and daily upscaling as implemented in this package.