There are a few different ways you can visualize solar irradiance or GHI (global horizontal irradiance) from WRF output data in Python. Here are a few options:

Naveen Venkat Ram Kumar SWDOWN stands for surface downward shortwave radiation, which is the quantity of solar radiation received by the earth's surface. In Python, you can visualize this data from WRF output by using a library like xarray to read in the WRF output data and then a library like Matplotlib or Cartopy to construct the visualizations.

Here's some Python code that shows how to use xarray and Matplotlib to view SWDOWN data from WRF output:

import xarray as xr

import matplotlib.pyplot as plt

# Open the WRF output file using xarray

ds = xr.open_dataset('wrfout.nc')

# Extract the SWDOWN data from the dataset

swdown = ds['SWDOWN']

# Select a single time step to plot

swdown_slice = swdown.isel(time=0)

# Plot the SWDOWN data using Matplotlib

plt.figure()

swdown_slice.plot()

plt.show()

This code will use xarray to load the WRF output file, extract the SWDOWN data from the dataset, choose a single time step to plot, and finally plot the data with Matplotlib. You can change the code to plot additional time steps or to tweak the plot's look as desired.

I hope this was helpful! Please let me know if you have any queries or need any further information.