Calculating wetbulb temperature with metpy.calc.wet_bulb_temperature is an extremly long and expensive computation that is not well suited to run over large ensemble members (see the docs).
Instead we present a method to calculate wetbulb from an evenely spaced reference grid over the entire range of values for pressure, temperature, and dewpoint respectively. The script wetbulb_generate_reference_grid.py allows you to specify the range of parameters and the resolution at which to compute the reference grid.
For example, the file wetbulb_metpy_lowres_200_1.0_grid.pkl contains the reference grid calculated from the following parameters:
press_min = 51000 # Pa
press_max = 105000 # Pa
press_nlayers = 200
temp_min = -81.0 # degC
temp_max = 48.0 # degC
temp_res = 1.0
dewpoint_min = -81.0
dewpoint_max = 30.0
dewpoint_res = 1.0
Once the desired reference grid has been computed and saved (this can take several days of runtime), our method can find and return the nearest reference wetbulb value for any set of parameters [temperature, pressure, dewpoint].
To calculate wetbulb over an entire large ensemble member use wetbulb_calc_ensemble_from_reference_grid.py
To calculate wetbulb over any specified region and time use wetbulb_calc_from_reference_grid.py
This "lookup" method is a much quicker and less expensive process that still has good accuracy. The reference grid parameters shown above resulted in a mean absolute error between metpy.calc.wet_bulb_temperature and our method of <0.2 degC for an entire year (n=336). The maximum residual was 0.6 degC. By calculating a finer resolution reference grid, one can achive even better performance.
For information on the CESM Large Ensemble see www.cesm.ucar.edu/projects/community-projects/LENS/