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Elnour, Y., Chinese, Y., Li, Z., Academy, C., Naveed, M., Chinese, A., View, C. T., River, I., & Sensing, R. (2017). Detection of Drought Pattern in Sudan Using Standardized Precipitation. Computer Science and Engineering, 7, 93-105.
https://www.researchgate.net/publication/320020799_Detection_of_Drought_Cycles_Pattern_in_Two_Countries_Sudan_and_South_Sudan_by_Using_Standardized_Precipitation_Index_SPI_A_high_frequency_of_an_annual-SPI_mild_drought_was_found_in

has been cited by the following article:

• TITLE: Analysis of the Drought Impact as an Extreme Climatic Event in Sudan

  AUTHORS: Awad Hussien

  KEYWORDS: CHIRPS, SPI, Anomaly, Rainfall, Aridity

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.12 No.6, June 13, 2024

  ABSTRACT: This study aimed to investigate drought as an extreme climatic event in Sudan by utilizing the Anomaly and Standard Precipitation Index (SPI). This research employed high-resolution Climate Hazards Group Infrared Precipitation with Station (CHIRPS) data to analyze the temporal and spatial distribution of rainfall in Sudan from 2001 to 2015. Notably, the analysis compared the annual average precipitation to specific drought events and calculated the Standardized Precipitation Index (SPI). The results indicate a striking frequency of drought occurrence in Sudan, with SPI values suggesting similarities between drought and wet years. It is recommended to compute the SPI for individual stations rather than rely solely on area averages. Despite the comparable SPI values between the drought and wet years, this study emphasizes the profound impact of drought as a recurring phenomenon in Sudan. These findings emphasize the urgent need for proactive drought management and mitigation strategies in Sudan to effectively address the consequences of this climatic challenge.