Title :
The analysis of large-scale climate data: Jordan case study
Author :
Jararweh, Yaser ; Alsmadi, Izzat ; Al-Ayyoub, Mahmoud ; Jenerette, Darrel
Author_Institution :
Jordan Univ. of Sci. & Technol., Irbid, Jordan
Abstract :
The analysis of large-scale data for the purpose of extracting patterns is applicable to several research fields. In this paper, a dataset of climate related historical data from Jordan is collected. The main focus is to study evolution criteria of weather attributes in Jordan over the evaluated period of time and how it is connected to climate change. Results showed that humidity and dew point weather attributes are going to face a significant increase in the future. Such an increase is expected to have a direct, as well as an indirect impact on human life.
Keywords :
atmospheric humidity; climatology; data analysis; data mining; geophysics computing; Jordan; climate change; dew point weather attribute; historical data; humidity; large-scale climate data analysis; weather attribute evolution criteria; Forecasting; Humidity; Ocean temperature; Temperature measurement; Time series analysis; Weather forecasting; Big Data; Data Analysis; Weather prediction; climate change; data mining; evolution analysis; prediction models;
Conference_Titel :
Computer Systems and Applications (AICCSA), 2014 IEEE/ACS 11th International Conference on
DOI :
10.1109/AICCSA.2014.7073211
