El-Aabssi (2026) Daily meteorological dataset (2020-2025) for citrus orchard irrigation research in a semi-arid basin, Ait Iaaza, Taroudant, Morocco

Identification

• Journal: Mendeley Data
• Year: 2026
• Date: 2026-09-18
• Authors: Anass El-Aabssi
• DOI: 10.17632/fpjb29bjmd

Research Groups

• Université Hassan 1er Casablanca-Settat, Settat
• AGROTech (Industrial Partner)

Short Summary

This study provides a comprehensive daily meteorological dataset (2020–2025) from the Ait Iaaza region in Morocco to support evapotranspiration modeling and irrigation scheduling for citrus orchards.

Objective

• To provide a high-resolution, continuous daily meteorological record for a semi-arid basin to improve the precision of irrigation scheduling and evapotranspiration (ET0) research.

Study Configuration

• Spatial Scale: Local scale (Ait Iaaza, Taroudant Province, Souss-Massa basin, Morocco).
• Temporal Scale: Daily resolution over a 5-year period (02 December 2020 to 01 December 2025; 1,826 consecutive days).

Methodology and Data

• Models used: Python 3 (pandas library) for data processing, climatology calculation, and Pearson correlation analysis.
• Data sources: Automated weather station (AWS) operated by AGROTech.

Main Results

• Generation of a dataset containing 1,826 days of observations for the following variables: precipitation, air temperature (min/mean/max), relative humidity (min/mean/max), global solar radiation, wind speed/direction, and reference evapotranspiration (ET0).
• Production of derived analytical sheets including:
  • Monthly climatology (averages and sums for precipitation and ET0).
  • Annual summaries (total precipitation, mean temperature, and total ET0).
  • Pearson correlation coefficients between meteorological variables and ET0.

Contributions

• Provides a continuous and raw meteorological dataset for a specific semi-arid agricultural zone in Morocco, filling a data gap for citrus orchard irrigation research and enabling more accurate local ET0 modeling.

Funding

• Not specified

Citation

@article{ElAabssi2026Daily,
  author = {El-Aabssi, Anass},
  title = {Daily meteorological dataset (2020-2025) for citrus orchard irrigation research in a semi-arid basin, Ait Iaaza, Taroudant, Morocco},
  journal = {Mendeley Data},
  year = {2026},
  doi = {10.17632/fpjb29bjmd},
  url = {https://doi.org/10.17632/fpjb29bjmd}
}