Nkiaka, E., Nawaz, N.R. and Lovett, J.C. (2017) Analysis of rainfall variability in the Logone catchment, Lake Chad basin. International Journal of Climatology, 37 (9). pp. 3553-3564. ISSN 0899-8418
Abstract
The socio‐economic consequences posed by climate change in Africa are giving increasing emphasis to the need for trend analysis and detection of changes in hydro‐climatic variables in data deficient areas. This study analyses rainfall data from 17 rain gauges unevenly distributed across the Logone catchment in the Lake Chad basin over a 50‐year period (1951–2000). After quality control of the rainfall data using homogeneity tests, nonparametric Mann–Kendall and Spearman's rho tests were applied to detect the presence of trends. Trend magnitude was calculated using Sen's slope estimator. Results of the homogeneity test showed that rainfall was homogeneous across the catchment. Trend analysis revealed the presence of negative trends for annual rainfall at all the stations. Results of long‐term trend analysis at a monthly time scale revealed the presence of statistically insignificant positive trends at 32% of the stations. Spatially, the analysis showed a clear distinction in rainfall magnitude between the semi‐arid and Sudano zones. The slope of the trend lines for annual rainfall averaged over the respective zones was higher in the semi‐arid zone (−4.37) compared to the Sudano zone (−4.02). However, the station with the greatest reduction in annual rainfall (−8.06 mm) was located in the Sudano zone.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Royal Meteorological Society. This is an author-produced version of a paper subsequently published in International Journal of Climatology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | rainfall analysis; Mann–Kendall; Sudano‐Sahel; Logone catchment; Lake Chad basin |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Geography (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 Sep 2020 16:03 |
Last Modified: | 04 Sep 2020 16:03 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1002/joc.4936 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:165143 |