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Analysis of climate extreme indices over the Komadugu-Yobe basin, Lake Chad region: Past and future occurrences

Adeyeri, O. E. 1; Lawin, A. E.; Laux, P. ORCID iD icon 1; Ishola, K. A.; Ige, S. O.
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)


This study investigates trends of climate extreme indices in the Komadugu-Yobe Basin (KYB) based on observed data of the period 1971–2017 as well as regional climate model (RCM) simulations for the historical period (1979–2005), the near future (2020–2050), and the far future (2060–2090). In order to correct change points in the time historical series, the Adapted Caussinus Mestre Algorithm for homogenising Networks of Temperature series homogeneity test is used. The magnitude of the linear trends is estimated using the Sen's slope estimator and Mann-Kendall's test is performed to check the statistical significance of the trends. Future trends are assessed using the ensemble mean of eight regional climate model data under two emission scenarios, provided by the Coordinated Regional Climate Downscaling Experiment (CORDEX). Therefore, the projected rainfall and temperature have been corrected for biases by using empirical Quantile Mapping. In the observations, warm spell duration, warm day-, and warm night frequencies exhibit statistically significant positive trends. Although there is a positive trend in the annual total rainfall, the number of consecutive wet (dry) days decreases (increases). ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000119836
Veröffentlicht am 28.05.2020
DOI: 10.1016/j.wace.2019.100194
Zitationen: 66
Zitationen: 71
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 03.2019
Sprache Englisch
Identifikator ISSN: 2212-0947
KITopen-ID: 1000119836
Erschienen in Weather and climate extremes
Verlag Elsevier
Band 23
Seiten Art. Nr.: 100194
Schlagwörter Homogeneity, Climate extreme indices, Linear trends, Bias correction, Komadugu-Yobe basin, Lake Chad region
Nachgewiesen in Scopus
Web of Science
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