Fractal Analysis of the Long-Term Memory in Precipitation over Bénin (West Africa). (9th January 2019)

• Record Type: Journal Article
• Authors: Agbazo, Medard Noukpo; Koto N'Gobi, Gabin; Alamou, Eric; Kounouhewa, Basile; Afouda, Abel
• Other Names: Lupo Anthony R. Academic Editor.
• Is Part Of: Advances in meteorology. Volume 2019(2019)
• Publication Date: 2019-01-09
• Subjects: Meteorology -- Periodicals; Meteorology; Periodicals; 551.505
• DOI: 10.1155/2019/1353195
• Languages: English
• ISSNs: 1687-9309

Abstract

Abstract : This study analyzed the long-term memory (LTM) in precipitation over Bénin synoptic stations from 1951 to 2010 using the detrended fluctuation analysis (DFA) method. Results reveal the existence of positive long-term memory characteristic in rainfall field. DFA exponent values are different regarding the concerned synoptic stations, reflecting the effect of geographical position and climate on the LTM. These values were related to the type of climate. The best DFA1-4 method depends on the geographical position of the studied station. However, DFA2 is generally the best in terms of spatial average from DFA1 to DFA4. In Bénin synoptic stations, except the Parakou station, the long-term temporal correlations are systematically the source of multifractality in rainfall. Except Natitingou, the strength of long-term memory characteristic decreases each twenty years in the study period. Considering the fractal approach, our results show that the subperiod 1991–2010 is not really a transition period as shown before. Thus, the drought is prolonging until 2010. So, fractal theory reveals more Bénin climatic characteristics.