Vidéhouénou Ariane Lucrèce Todote, Janaína Cassiano dos Santos, Gustavo Bastos Lyra, Marcel Carvalho Abreu, Roberto Avelino Cecílio, José Francisco de Oliveira-Júnior, Gisleine Cunha-Zeri, Marcelo Zeri
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Nonparametric tests showed that all stations had random, independent, homogeneous and stationary 12-month SPI series, except for Kandi and Parakou, which exhibited autocorrelation and a significant positive trend (<i>p</i> > 0.05). No significant trends were observed at other stations. Significant correlations were found between the 12-month SPI and both the Multivariate ENSO Index (MEI, <i>r</i> = −0.35) and the PDO index (<i>r</i> = −0.30). Principal component analysis (PCA) revealed wet years in Benin during negative MEI and PDO phases. Droughts of higher intensity and duration were more frequent (54%) during El Niño/Neutral and warm PDO phases, whereas wet years (56%) occurred during La Niña and cool PDO phases. Extreme drought events (SPI < −2) were more common (89%) from 1970 to 1995, coinciding with high positive MEI and PDO values, whereas intense wet years (SPI > 1.5) occurred more often (64%) from 1996 to 2010. Harmonic and spectral analyses identified dominant dry/wet frequencies of 5–7.5 and 2–4.5 years. Stations nearest the coast (Cotonou, Bohicon) and in northern Benin (Kandi) experienced more frequent extreme events (14–16 events). These findings highlight the significant influence of climate variability on interannual and decadal precipitation patterns in Benin.</p>\n </div>","PeriodicalId":13779,"journal":{"name":"International Journal of Climatology","volume":"45 10","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Impact of Climate Variability and Trends on Drought Over Benin: A Statistical and Conceptual Approach\",\"authors\":\"Vidéhouénou Ariane Lucrèce Todote, Janaína Cassiano dos Santos, Gustavo Bastos Lyra, Marcel Carvalho Abreu, Roberto Avelino Cecílio, José Francisco de Oliveira-Júnior, Gisleine Cunha-Zeri, Marcelo Zeri\",\"doi\":\"10.1002/joc.8888\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>This study assessed drought trends and variability in Benin and their relationship with climate modes such as El Niño–Southern Oscillation (ENSO), the Atlantic Interhemispheric Sea Surface Temperature Gradient (AISSTG), and the Pacific Decadal Oscillation (PDO). Drought intensity, duration and frequency were analysed using the Standardised Precipitation Index (SPI) from monthly precipitation data at six weather stations (Bohicon, Cotonou, Kandi, Natitingou, Parakou and Savè) for 1970–2015. Nonparametric tests showed that all stations had random, independent, homogeneous and stationary 12-month SPI series, except for Kandi and Parakou, which exhibited autocorrelation and a significant positive trend (<i>p</i> > 0.05). No significant trends were observed at other stations. Significant correlations were found between the 12-month SPI and both the Multivariate ENSO Index (MEI, <i>r</i> = −0.35) and the PDO index (<i>r</i> = −0.30). Principal component analysis (PCA) revealed wet years in Benin during negative MEI and PDO phases. Droughts of higher intensity and duration were more frequent (54%) during El Niño/Neutral and warm PDO phases, whereas wet years (56%) occurred during La Niña and cool PDO phases. Extreme drought events (SPI < −2) were more common (89%) from 1970 to 1995, coinciding with high positive MEI and PDO values, whereas intense wet years (SPI > 1.5) occurred more often (64%) from 1996 to 2010. Harmonic and spectral analyses identified dominant dry/wet frequencies of 5–7.5 and 2–4.5 years. Stations nearest the coast (Cotonou, Bohicon) and in northern Benin (Kandi) experienced more frequent extreme events (14–16 events). 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The Impact of Climate Variability and Trends on Drought Over Benin: A Statistical and Conceptual Approach
This study assessed drought trends and variability in Benin and their relationship with climate modes such as El Niño–Southern Oscillation (ENSO), the Atlantic Interhemispheric Sea Surface Temperature Gradient (AISSTG), and the Pacific Decadal Oscillation (PDO). Drought intensity, duration and frequency were analysed using the Standardised Precipitation Index (SPI) from monthly precipitation data at six weather stations (Bohicon, Cotonou, Kandi, Natitingou, Parakou and Savè) for 1970–2015. Nonparametric tests showed that all stations had random, independent, homogeneous and stationary 12-month SPI series, except for Kandi and Parakou, which exhibited autocorrelation and a significant positive trend (p > 0.05). No significant trends were observed at other stations. Significant correlations were found between the 12-month SPI and both the Multivariate ENSO Index (MEI, r = −0.35) and the PDO index (r = −0.30). Principal component analysis (PCA) revealed wet years in Benin during negative MEI and PDO phases. Droughts of higher intensity and duration were more frequent (54%) during El Niño/Neutral and warm PDO phases, whereas wet years (56%) occurred during La Niña and cool PDO phases. Extreme drought events (SPI < −2) were more common (89%) from 1970 to 1995, coinciding with high positive MEI and PDO values, whereas intense wet years (SPI > 1.5) occurred more often (64%) from 1996 to 2010. Harmonic and spectral analyses identified dominant dry/wet frequencies of 5–7.5 and 2–4.5 years. Stations nearest the coast (Cotonou, Bohicon) and in northern Benin (Kandi) experienced more frequent extreme events (14–16 events). These findings highlight the significant influence of climate variability on interannual and decadal precipitation patterns in Benin.
期刊介绍:
The International Journal of Climatology aims to span the well established but rapidly growing field of climatology, through the publication of research papers, short communications, major reviews of progress and reviews of new books and reports in the area of climate science. The Journal’s main role is to stimulate and report research in climatology, from the expansive fields of the atmospheric, biophysical, engineering and social sciences. Coverage includes: Climate system science; Local to global scale climate observations and modelling; Seasonal to interannual climate prediction; Climatic variability and climate change; Synoptic, dynamic and urban climatology, hydroclimatology, human bioclimatology, ecoclimatology, dendroclimatology, palaeoclimatology, marine climatology and atmosphere-ocean interactions; Application of climatological knowledge to environmental assessment and management and economic production; Climate and society interactions