*** Analysis of the outputs of the AquaCrop model simulations with Python *** 
Authors: David Agoungbome 
Department of Water Management, Faculty of Civil Engineering and Geoscience, Delft University of Technology 

Corresponding author: Sehouevi Mawuton David Agoungbome 

Contact Information: 
s.m.d.agoungbome@tudelft.nl 
Delft University of Technology - Faculty of Civil Engineering and Geoscience 
Stevinweg 1
2628 CN Delft
PO Box 5048
The Netherlands

***General Introduction*** 
This dataset contains output data generated and codes to analyze them  at Delft University 
of Technology, as part of David Agoungbome's PhD Thesis project (January 2023): 
doi.org/10.3390/agronomy13010167
It is being made public both to act as supplementary data for publications and the PhD 
thesis of David Agoungbome and in order for other researchers to use this data in their own work. 

The data in this data set was generated using the AquaCrop model at Delft University 
of Technology - Faculty of Aerospace Engineering, between June 2020 and December 2022. 
This research project was made possible partially by a grant from the Islamic Development 
Bank (IsDB). 

***Purpose of the test campaign***
This research aims to identify safe sowing windows for smallholder farmers in West Africa. 
While existing approaches focus on sowing early in the season after the first rain events,
we analyzed crop response to water availability for a wide range of sowing dates, covering 
the entire rainfall season (May to November). 

***Simulation of AquaCrop*** 
AquaCrop, the FAO crop simulation model was used. The model takes as input weather 
information (rainfall, evapotranspiration, min, and max temperature, all at a daily scale),
soil profile and texture, and management practices (no application of fertilizer, rainfed 
agriculture, etc.). 


***Description of the data in this data set*** 
9 output files (all .txt files are in AquaCrop Output sample.zip for a run on the May 01) 
are generated after the simulation with different data but 3 are mainly used for the 
analysis. 
The Crop file (Crop.out) contains information about crop phenology and most importantly 
yield and biomass build-up and water stress levels reducing leaf expansion or inducing 
stomatal closure. 
The Run file (Run.out) contains the main summary and aggregated variables (yield, water, 
runoff, transpiration, etc.) of the simulations. 
The Prof file (Prof.out) contains the water content in the effective root zone, at the 
field capacity, and the permanent wilting point. 

The Python codes to analyze Prof and Run outputs of the AquaCrop simulations are in the 
file AquaCrop_v6.1_Tahmo_Maize_Water Bal.ipynb. 
AquaCrop_v6.1_Tahmo_Maize_Phenology.ipynb contains the codes to analyze the Crop files. 
Optimal Window.ipynb combines all the different onset approaches together. 
ET0_analysis - Tahmo.ipynb contains the codes to analyze the weather data, and dry spells
and also plot these variables.