# LEAVES Project (actuaL-potEntiAl eVapotranspiration rElation aSsessment)

This project investigates the assessment of actual evapo-transpiration out of potential evapo-transpiration models under water stressed conditions. The workflow is coded in python. The scripts tagged **main scripts** produce the main results of the project. The notebooks with the extension `.ran.ipynb` are those created while running renku, they are part of the knowledge graph (accessible from the RenkuLab interface --> files --> tab *Lineage*, next to *Contents*). All the `.png` files in the folder tagged **main scripts** are inlcuded in the knowledge graph as well. 


## **Data file structure**

The structure of the repository is the following : 
* data : Folder containing all the data sets used for this project
    * eddycovdata
        * `.nc files` : NETCFD4 files from the eddy covariance OzFlux database
        * `.txt files` : fpar time series of the different sites
* notebooks : All the computationnal material (.ipynb and .py files)
    * Data_explore: 
        * `data_explore.ipynb`: visual and basic exploration of the datasets of the different study sites
    * theory:
        * `theory.ipynb`: notebook defining all the physical variables and equations in the symbolic domain using sympy and ESSM
        * pyFile_storage:
            * `theory_variable.py`: .py file automatically created from `theory.ipynb` that contains the definition of the different variables used in the project. Having a separated .py file allows to call the variables defined in `theory.ipynb` in other scripts/notebooks. 
            * `theory_equation.py`: .py file automatically created from `theory.ipynb` that contains the definition of the different equations used in the project. Having a separated .py file allows to call the equations defined in `theory.ipynb` in other scripts/notebooks. 
            * `analysis_function.py`: .py file containing the function of the different metrics (fitting performance) used in the project
    * Finished_project:
        * simpler_model:
            * `simpler_model.ipynb`: experiments 1.X (exploration and comparison of the different models, sensitivity to changes in atmospheric forcing, sensitivity to calibration parameters, inverse modelling fitting, statistical fitting performance, systematic site assessment), **main script**
            * latex_files: store the metric results as latex tables (`.txt` files)
        * meaning_stress_factor:
            * `meaning_stress_factor.ipynb`: experiments 2.X (information contained in the $f_{PAR}$ coefficient, comparing the complete and incomplete $g_s$ models), **main script**
        * stress_factor_shape:
            * `stress_factor_shape.ipynb`: experiments 3.X (non linear definition of the stress factor), **main script**
        * Ws_sensitivity:
            * `wind_speed_sensitivity.ipynb`: investigating the dependance of the Penman-Monteith model to wind speed using sympy and ESSM
    * Miscellaneous:
        * var_VS_cst:
            * var_VS_cst.ipynb
            * var_cst_assessment.ipynb
        * soilPotential:
            * WaterPotential.ipynb
        * siteAssessment:
            * modelRun.ipynb
            * inverseModelling.ipynb
            * fParAssess.ipynb
        * modelAssessment:
            * RsParameterVariability.ipynb
        * fPAR_effect:
            * LAI_effect.ipynb
            * fPAR_effect.ipynb
        * conductance:
            * YearThetaFunc.ipynb
            * modelRun_conductance.ipynb
            * fitModel_error.ipynb
        * compare_g_VOM:
            * soil_conductance.ipynb
        * aesara_test:
            * aesara_assessment.ipynb
* Dockerfile 
* environment.yml
* README.md : information about the project and it organisation
* Renku_commands.txt : All the Renku commands used in this project
* requirements.txt : required python packages for this project