https://github.com/clima/scampy

A single column model of atmospheric boundary layer turbulence and clouds

https://github.com/clima/scampy

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A single column model of atmospheric boundary layer turbulence and clouds

https://github.com/CliMA/SCAMPy/blob/master/

# SCAMPy #

SCAMPy (Single Column Atmospheric Model in Python) provides a framework for testing parameterizations of clouds and turbulence.
It is particularly designed to support eddy-diffusivity mass-flux modeling frameworks.

Information about the EDMF parameterization implemented in SCAMPy can be found in:

Tan, Z., C. M. Kaul, K. G. Pressel, Y. Cohen, T. Schneider, and J. Teixeira, 2018:
An extended eddy-diffusivity mass-flux scheme for unified representation of
subgrid-scale turbulence and convection. Journal of Advances in Modeling Earth Systems, 2018.
(see [Tan et al., 2018](https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2017MS001162)).

The code is written in Python and Cython.

Code Contributors:
	Colleen Kaul (PNNL) --initial/primary developer,
	Yair Cohen (Caltech),
        Jia He (Caltech),
	Anna Jaruga (JPL/Caltech),
        Ignacio Lopez-Gomez (Caltech),
	Kyle Pressel (PNNL),
	Zhihong Tan (U. Chicago).

Additional Acknowledgements:
	Tapio Schneider (Caltech),
	Joao Teixeira (JPL).

# installation #

SCAMPy requires Cython, netcdf4, matplotlib, scipy and numpy.

# building and running #
```
$ cd scampy
```

Generate the simulation specific parameters (accepted keywords:  Bomex, life_cycle_Tan2018, Soares, Rico, TRMM_LBA, ARM_SGP, GATE_III, DYCOMS_RF01, GABLS, SP)
```
$ python generate_namelist.py Soares
```

Generate the turbulence parameters (accepted keywords: defaults, Soares, Bomex, life_cycle_Tan2018, Rico, TRMM_LBA, ARM_SGP, GATE_III, DYCOMS_RF01, GABLS, SP)
```
$ python generate_paramlist.py Soares
```

Compile the source code by running setup.py
```
$ python setup.py build_ext --inplace
```

Serial execution of scampy (both turbulence and case specific parameters need to be passed)
```
$ python main.py Soares.in paramlist_Soares.in
```

# automated plotting  #

All automated plots are located in the tests folder and are generated using [pytest](https://pytest.org/en/latest/).

To run all automatic plots please try:

```
$ cd tests/

$ py.test -s -v plots/

$ cd ../

```
To run an individual plot please try:

```
$ cd tests/

$ py.test -s -v plots/test_plot_Soares.py

$ cd ../

```

The subfolder scampy/tests/les_data contains several netCDF files. These are reduced data files from the stats files of pycles
in which only the relevant data is saved. The code "reduce_pycles_netcdf.py" reduces pycles files given the input location of a pycles file.

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