The climate change implication on Jordan: A case study using GIS and Artificial Neural Networks for weather forecasting

Abstract

The meteorological data such as rainfall and temperatures, covering the period between 1979 and 2008, has been analyzed. The data were simulated using the geographic information systems (GIS) and computer software "MATLAB". The output results were converted into geographical maps. Three parameters were analyzed: annual mean maximum temperature, annual mean minimum temperature, and mean annual rainfall during the period (1979–2008). The analyzed results were also used to forecast for the period (2009–2018).