========================= README for RIRI5

This is RIRI5 model, an adaptation of the RIRI model in python for simple sky discretisations (diffuse sky) and multi-species canpies

See Sinoquet, H., Le Roux, X., Adam, B., Ameglio, T., & Daudet, F. A. (2001). RATP: a model for simulating the spatial distribution of radiation absorption, transpiration and photosynthesis within canopies: application to an isolated tree crown. Plant, Cell & Environment, 24(4), 395-406. Louarn, G., Escobar-Gutiérrez, A., Migault, V., Faverjon, L., & Combes, D. (2014). “Virtual grassland”: an individual-based model to deal with grassland community dynamics under fluctuating water and nitrogen availability. The future of european grasslands, 242.

1. Getting Started

1.1 Prerequisites

To install and use RIRI5, you need first to install the dependencies.

RIRI5 has been tested on Windows.

1.1.1 Install the dependencies on Windows 10 64 bit

1. Create a conda environment with miniconda3

   conda create -n myenvname python=3.7 xlrd=2.0.1 numpy=1.20.3 scipy=1.7.3 pandas=1.3.4

2. Place yourself in the created environment : conda activate myenvname

3. Install riri5

   1. Git console :

      git clone https://github.com/glouarn/riri5.git

   2. installation in the conda environment (in folder riri5)

      python setup.py develop

1.3 Running

To run a simulation example :

• 1. place yourself in folder riri5\riri5\test
  2. run from the console:

       python test_riri_homogene.py
       python test_riri.py

2. Reading the docs

To build the user and reference guides:

3. Testing

The test allows to verify that the model implementation accurately represents the developer’s conceptual description of the model and its solution.

Contact

For any question, send an email to gaetan.louarn@inrae.fr.

Authors

Gaëtan LOUARN, Didier Combes - see file AUTHORS for details

License

This project is licensed under the CeCILL-C License - see file LICENSE for details