tried to assess the fitting of the complete and incomplete models during the wet period in the meaning_stress factor.ipynb but doesn't work at the moment

polish the new graphs explaining the relation between theta and the stress factor / g_s in simpler_model.ipynb and meaning_stress_factor.ipynb

explicite the relation between theta and S and g_s in the simpler_model.ipynb and meaning_stress_factor.ipynb

create wind_speed_sensitivity.ipynb to formalise the sensitivity to wind speed investigations. Remove this part from the simpler_model.ipynb script

modify the graphs of the simpler_model.ipynb (add dimensions in sensitivity heatmap) and modify the legend in the meaning_stress_factor.ipynb grapshs

change the deviatio range of the experiment influence of changes in atmospheric forcings to set the deviations to 5% of the mean initial value

ready to run renku, sympy results investigation, change the statistical analysis graphs at Howard Springs (and nb of runs), delete useless graphs when group plots

simpler_model.ipynb : modified the time serie plot (moving average of 3 days), added RVE and MAE as metrics, created pandas data frame out of it and export them as tex tables, modify remku command to account for tex files

Remko's comment added -> graphs labels, histogram with equal bins, modification of the VPD computation leading to consistent results

fix the bounds problem (shgo algorithm) ensuring the convergence of the PM_run_cst function in the meaning_stress_factor.ipynb notebook

updating the copy_location_stress_fact file --> discover the problem of the fPAR coeff --> to be fixed and opening an issue on renkulab

add the sensitivity analysis to atmospheric factors in terms of relative changes in location_stress_factor.ipynb

sensitivity analysis for the simples varying and constant surface resistance models in location_stress_factor.ipynb

finish to implement the first simple case of comparison stress factor position, only one site and one year in location_stress_factor.ipynb