Yobeen forecast software reliability assessment using measured data of the Souss upstream region

Abstract

The current study took place in Souss region and aimed to evaluate the reliability of forecasted weather data provided yobeen forecast software through the identification of relationships between real and forecasted climatic parameter. Real twelve weather station data history were used. Studied climatic parameters are air temperature and humidity, global radiation, wind speed and referential evapotranspiration (ETo). That later depends on previous parameters and was calculated using Panman-Monteith formula.

Each of those measured parameters was compared, correlated to its forecasted homologous one. It was, hence, concluded that yobeen forecast, software using GFS forecasting, is able to predict successfully air temperature, global radiation and referential evapotranspiration while it remains less efficient to provide reliable wind speed and air relative humidity unless a calibration effort would be performed.