Abstract

The monthly averaged data time series of temperatures and rainfall without interruption of Conakry Airport (9.34° N 13.37° W, Guinea) from 1960 to 2016 were used. Inter-annual and annual changes in temperature and rainfall were investigated. Then, different models: Mann-Kendall Test, Multi-Linear-Regression analysis, Theil-Sen’s slope estimates and wavelet analysis where used for trend analysis and the dependency with these climate forcings. Results showed an increase in temperature with semi-annual and annual cycles. A sharp and abrupt rise in the temperature in 1998 was found. The results of study have shown increasing trends for temperature (about 0.21°/year). A decrease in rainfall (about −8.14 mm/year) is found since the end of 1960s and annual cycle with a maximum value of about 1118.3 mm recorded in August in average. The coherence between the two parameters and climate indices: El Niño 3.4, Atlantic Meridional Mode, Tropical Northern Atlantic and Atlantic Niño, were investigated. Thus, there is a clear need for increased and integrated research efforts in climate parameters variations to improve knowledge in climate change.

Highlights

  • Climate is naturally variable as evidenced by the irregularity of the seasons from one year to another

  • This figure indicates that Conakry is experiencing an increasing temperature, found to be significant since 1970s

  • It is clearly shown on this figure that 1998 is the year with the highest temperature (30 ◦ C in mean recorded on April)

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Summary

Introduction

Climate is naturally variable as evidenced by the irregularity of the seasons from one year to another. Long-term climate variability is of great importance for the estimation of its impact on human activities and for predicting the future climate [1]. West African region continues to receive a lot of unusual disasters at unexpected moments and areas. This might be a consequence of climate change and that change is generated on the one hand by anthropogenic activities and on the other hand by natural variation. Many studies have been done on the intra-seasonal

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