Analysis and prediction of climate forecasts in Northern Morocco: application of multilevel linear mixed effects models using R software
Mohamed Beroho, Hamza Briak, Rachid El Halimi, Abdessalam Ouallali, Imane Boulahfa, Rachid Mrabet, Fassil Kebede, Khadija Aboumaria
Abstract
). The study revealed that the predicted values are very close to the real value. Besides, this model is capable of modelling the error, fixed and random parts of the sample. Moreover, in this range, the results showed that there is three standard deviations measures for fixed and random effects, also the variance measure, which demonstrate us a great prediction. In conclusion, this model gives a decisive precision of results that can be exploited in studies for forecast of water balance and/or soil erosion. These results can also be used to inhibit the risk of erosion with possible arrangements for the environment and human security.