Update Tutorial - daily weather file authored by Bouvry Arnaud's avatar Bouvry Arnaud
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title: Tutorial
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This tutorial provides a guide to simulate an agrivoltaic system with PASE.
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- SCENARIOS/ : define the parameters of the simulation scenario, such as location, latitude and longitude, altitude, simulation options, start and end year of the simulation, etc.
- WEATHER_FILES/ : the simulation can run on data fetched from an online database or on data files located in this subdirectory.
## Daily weather files - precipitation and vapour pressure data
The crop modeling component of PASE requires daily weather data to compute evapotranspiration and related processes.
Two key variables are needed: daily precipitation and water vapor pressure.
### Data Sources
You can obtain the necessary data in one of two ways:
From Agri4Cast: if your study area is covered, you can download the daily weather dataset directly from the Agri4Cast Data Portal.
Manual creation: if no Agri4Cast data is available, you must prepare a custom CSV file containing the required variables (see below).
### File Structure
The input file must be a **semicolon-separated** CSV with the following columns:
| Column Name | Description | Units | Example |
| ---------------- | ---------------------------------- | ----- | -------- |
| `DAY` | Calendar date in `yyyymmdd` format | - | 20210415 |
| `VAPOR_PRESSURE` | Daily mean vapor pressure | hPa | 12.3 |
| `PRECIPITATION` | Daily total precipitation | mm/d | 4.7 |
### Formatting Requirements
- Use UTF-8 encoding and `;` as the column separator.
- Include a header row exactly matching the column names above.
- Ensure all dates are valid (mind **leap years***) and continuous if the simulation requires complete coverage.
### Example File
A minimal reference file is provided in the repository under INPUTS/WEATHER_FILES/minimal_PRECIP_VP.csv
# Running a simulation
Once the parameters are set, the simulation can start.
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