Calibration of GFS model by using real time weather data for water requirement forecasting of citrus crop at the Moroccan Souss basin

Abstract

The work is about validation of Global Forecast System (GFS) model for citrus water requirement prediction in the semi-arid Moroccan region called Souss-basin. The technique consists on using real time weather data installed to calculate Evapotranspiration (ETo) and statistically compare it to forecast values. GFS model prediction was enough accurate for ETo estimated on daily basis through air temperature, relative humidity and solar radiation forecasting (89,3% for Souss Upstream and 76,1% for Souss Center). However, no logic relation could be found prediction compared to measurements of Rain and Wind. The annual predicted irrigation water needs (ETc) was 7626,5 m3/ha, when the measured one was likely 7669,1 m3/ha in Souss Upstream; and when it comes to Souss Center more closer to sea, this value is predicted to be only 5716,3 m3/ha with a good correlation to calculated measurements showing 5948,7 m3/ha Nevertheless, Calibrations must consider seasons of the year; the tested model was more accurate during cold period from 01/10/16 to 31/03/17, but in the hot period, predicted temperature and ETo become overestimated.

Authors and Affiliations

Athman Hafidi, Rachid Salghi, Ataa Abouatallah, Mohamed Ayoub, Fatima Ayoub, Naziha AFFI

Keywords

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  • EP ID EP392801
  • DOI 10.9790/9622-0711020111.
  • Views 83
  • Downloads 0

How To Cite

Athman Hafidi, Rachid Salghi, Ataa Abouatallah, Mohamed Ayoub, Fatima Ayoub, Naziha AFFI (2017). Calibration of GFS model by using real time weather data for water requirement forecasting of citrus crop at the Moroccan Souss basin. International Journal of engineering Research and Applications, 7(11), 1-11. https://europub.co.uk./articles/-A-392801