Abstract:
Daily meteorological temperature datasets in Benin, West Africa is provided by only six known
weather stations which do not cover the temperature variation information of the whole country
while these local details are required for field simulations. This paper introduces a summarized
evaluation of the Earth Observing System (EOS) Moderate Resolution Imaging
Spectroradiometer (MODIS) temperature dataset as opposed to weather station measured
temperature using Aquacrop model outputs calibrated with maize crop file specifics, as maize is
the most consumed cereal crop in the country. The method used relies on a statistical comparison
of two distinct dataset inputs in Aquacrop model which was calibrated based on a previous field
experiment performed in a recent study. The results indicated MODIS corrected temperature
might not be suitable to estimate crop yield. Also, there is a strong correlation between soil
salinity and the output crop yield response, as the least R2 was 0.70 (Bohicon station), and the
highest yield recorded for each station was obtained at the lowest soil salinity value. However,
the model output crop yield response also shows that there is a significant difference between the
simulated crop yield based on the two datasets.
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