An interactive predictive system for weather forecasting

Author

Omary, Ayham ; Wedyan, Ahmad ; Zghoul, Ahmed ; Banihani, Ahmad ; Alsmadi, Izzat

Author_Institution

Eng. & Archit. Fac., Umm Al-Qura Univ., Mecca, Saudi Arabia

fYear

2012

fDate

14-16 May 2012

Firstpage

1

Lastpage

4

Abstract

Studying precipitation and weather data using Artificial Intelligent (AI) and data mining techniques has been the subject of several research papers. In this paper, a dataset is built about Jordanian weather and precipitation related information. This information is gathered from local and web resources. A tool is built to parse all weather related information from different websites that store such information. Data mining techniques and AI algorithms are used for future precipitation forecasting based on historical data. Data mining and statistical methods are used to predict future forecasting and possible climate change.

Keywords

Web sites; atmospheric precipitation; data mining; geophysics computing; interactive systems; statistical analysis; weather forecasting; AI algorithms; Jordanian precipitation related information; Jordanian weather data; Websites; artificial intelligent techniques; climate change; data mining techniques; interactive predictive system; precipitation forecasting; statistical methods; weather data; weather forecasting; Atmospheric modeling; Data mining; Mathematical model; Numerical models; Predictive models; Weather forecasting; Numerical Weather Prediction models; Weather forecasting; data mining; prediction algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer, Information and Telecommunication Systems (CITS), 2012 International Conference on

Conference_Location

Amman

Print_ISBN

978-1-4673-1549-4

Type

conf

DOI

10.1109/CITS.2012.6220375

Filename

6220375