Climatology of Guinea: Study of Climate Variability in N’zerekore

Abstract

N'zerekore is a geographical region of Guinea, which houses a weather observatory located at longitude 8.8°, latitude 7.7° and altitude 475 m. This region is of major socio-economic interest for the country. The climatological study of this region shows the variability of each parameter. The objective of this study was to analyze meteorological parameters trends and to assess the space-time evolution of some agro-climatic risks related to the main trends observed in the meteorological parameters regime of this region. In this study, programming tools were used for processing and analyzing meteorological parameters data, including temperatures, rains, wind, evaporation and storms measured in this observatory from 1931 to 2014. The interannual, annual and daily variations of these parameters were obtained, as well as temperature, precipitation anomalies and agroclimatic indexes trends. The analyzing of these variations explained that September is the rainiest months, and the year 1932, 1957 and 1970 are normal, rainy and dry year, respectively. The evaporation increased since 1971 from January to March and November to December. A positive temperature anomaly was observed since 1973 with the maximum 26-33 °C and the minimum 16-21 °C. A dominant westerly wind with a speed of 2.6 m/s was determined. Agro-climatic parameters in N'zerekore have high variability. From 1931 to 2014, three major periods can be distinguished: a wet period from 1931 to 1977, a dry period from 1978 to 1994 and rainfall variability from 1995 to 2014. The trend of these parameters explains the impact of climate change in this part of the world. This is exacerbated by human activity (deforestation), thus mitigation measures are necessary. It would be useful to extend this study throughout the country.

Statistical modeling of maximum temperature in Guinea

“…Zerekore was historically humid, but it has been warming up over the years. This could be related to climate change with links to deforestation (Loua et al 2017).…”

Genome Scan of Rice Landrace Populations Collected Across Time Revealed Climate Changes’ Selective Footprints in the Genes Network Regulating Flowering Time

“…This pejoration of the rainfall regime was particularly severe during the beginning (June) and the end (September and October) of the crops growth season. Analysing N’Zérekoré rainfall data for the 1931–2014, Loua et al ( 2017 ) reported that the higher variability of the annual rainfall during the period 1994–2014 was associated with a shorter duration of the rainy season (later beginning and earlier ending) and a less predictable date for the establishment of the rainy season.…”