Daily meteorological dataset (2020-2025) for citrus orchard irrigation research in a semi-arid basin, Ait Iaaza, Taroudant, Morocco
Description
This dataset contains 1,826 consecutive days (02 December 2020 – 01 December 2025) of daily meteorological observations recorded by an automated weather station at Ait Iaaza, Taroudant Province, Souss-Massa basin, Morocco. Variables include daily precipitation, minimum/mean/maximum air temperature, minimum/mean/maximum relative humidity, global solar radiation, wind speed and direction, and daily reference evapotranspiration (ET0). The data was collected via an automated weather station operated by the industrial partner AGROTech. The dataset supports evapotranspiration modelling and irrigation-scheduling research. The Excel file (.xlsx) contains five sheets: a read-me guide, the raw daily data (Raw_Data), monthly climatology averaged over the 2020–2025 period (Monthly_Climatology), annual totals and averages (Annual_Summary), and the Pearson correlation of each variable with ET0 (Correlation_ET0). All values are as recorded by the station; no data points have been removed or altered.
Files
Steps to reproduce
Raw_Data contains the meteorological variables exactly as recorded by the weather station, with no modification. The derived sheets are computed from Raw_Data as follows: Monthly_Climatology: for each calendar month, Temperature (Min/Mean/Max), Relative humidity (Min/Mean/Max), Global radiation, Wind speed and ET0 are averaged across all years (2020–2025); Precip_total_mean_mm and ET0_total_mean_mm are the monthly sum for each year, averaged across the 5 years. Annual_Summary: for each year, Precipitation is summed, Temperature (Mean) is averaged, ET0 is summed, and the number of available days is counted. Correlation_ET0: Pearson correlation coefficient between each variable and ET0, computed across all 1,826 daily records. Software used: Python 3, pandas (groupby, mean, sum, corr).
Institutions
- Université Hassan 1erCasablanca-Settat, Settat