Spatial Diversity of Monthly and Annual Rainfall in Sudan: Using Rainfall Predictions and Geographical Information System (GIS) to Produce Rainfall Maps

Authors

  • Nazim Osman Bushar Faculty of science and technology, Shendi University (SHU), P.O. Box 12094, SUDAPOST, Khartoum, Post Code 111 11, Sudan
  • Tarig Hassan Hashim Central Bureau of Statistics, Sudan (CBS),
  • Ajith Abraham Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, P.O. Box 2259, Auburn, Washington 98071-2259, USA

Keywords:

rainfall prediction, geographical information system, spatial analysis, rainfall map.

Abstract

This study presents mapping of rainfall predictions over Sudan using spatial analysis of climatological data. Geographic Information System ArcGIS provides the means to produce climatological surfaces for the entire Sudan between the years 2000–2012. The temporal resolution of the maps is monthly and annual. Spatial data were obtained from Central Bureau of Statistics Sudan for three levels (towns, states and regions). This study provides a deeper analysis of rainfall phenomenon in Sudan. Monthly and Annual variation in rainfall for 13 years was visualized in rainfall maps. Also analysis been made for rain at the same level for different months. Finally we analyzed rainfall with the most influenced variables such as temperature and relative humidity for different months and levels. Results from this study reveal the ability of GIS to explain and extract general patterns of rain phenomenon and its distribution over different geographical areas in Sudan.

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Published

2015-01-01

How to Cite

Nazim Osman Bushar, Tarig Hassan Hashim, & Ajith Abraham. (2015). Spatial Diversity of Monthly and Annual Rainfall in Sudan: Using Rainfall Predictions and Geographical Information System (GIS) to Produce Rainfall Maps. International Journal of Computer Information Systems and Industrial Management Applications, 7, 22. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/298

Issue

Section

Original Articles