This project is merged into SUEWS.
SUEWS that speaks Python
SuPy requires 64-bit python
3.7+ and can be installed with pip
in command line prompt:
python3 -m pip install supy --upgrade
Once installed, supy
can be quickly started to get SUEWS simulations done:
import supy as sp
import matplotlib.pyplot as plt
#load sample data
df_state_init, df_forcing = sp.load_SampleData()
grid = df_state_init.index[0]
#run supy/SUEWS simulation
df_output, df_state_end = sp.run_supy(df_forcing, df_state_init)
#plot results and save figure
res_plot = df_output.SUEWS.loc[grid, ['QN', 'QF', 'QS', 'QE', 'QH']]
ax=res_plot.loc['2012 6 4':'2012 6 6'].resample('30T').mean().plot()
plt.show()
ax.figure.savefig('sample_plot.png')
The above code will produce a plot of surface energy balance components as follows:
Please check out more SuPy tutorials here!
The development version supy
includes both the supy
wrapper and its kernel supy-driver
- the calculation kernel written in Fortran.
All below is supposed to be in a directory named supy-dev
- which however you can change.
the development version of SuPy.
# get the source code of SUEWS and SuPy
git clone --recurse-submodules git@github.com:UMEP-dev/SUEWS.git
git clone git@github.com:UMEP-dev/SuPy.git
conda env create -f SuPy/env.yml
conda activate supy
pip install -e SuPy/src
supy-driver
cd SUEWS/supy-driver
make dev
Here you can check if supy-driver
is installed correctly:
pip show supy-driver
note the location
field in the output, which should point to the local supy-driver
directory.
Note: after installing the development version of supy-driver
, you might get the warning about incompatibility, which you can ignore and carry on. However, in case of any issue, please report it here.
pip show supy
note the location
field in the output, which should point to the local supy
directory.