Abstract

The Congo River Basin, located in central Africa, is the second-largest river basin in the world, after the Amazon. It has a drainage area of approximately 3.7 M km2 and is home to 75 million people. A significant part of the population is exposed to recurrent floods and droughts, and climate change is likely to worsen these events. Climate change studies of the Congo River basin have so far focused on annual and seasonal precipitation, but little attention was paid to extreme climatic events. This study aims to assess future changes in rainfall-induced flash floods and drought regimes in the Congo basin from the present day to 2100, using four selected extreme climatic indices as proxies to these two natural disasters. The indices are the total annual precipitation (PCPTOT), the number of days where rainfall is above 20 mm (PCP20), the standardized precipitation index (SPI), and the standardized precipitation-evapotranspiration index (SPEI). The indices were calculated with the statistically downscaled output of eleven Regional Climate Models (RCMs) from the Coordinated Downscaling Experiment (CORDEX-AFRICA) under two Representative Concentration Pathways: RCP 8.5 (high emissions scenario) and RCP 4.5 (moderate emissions scenario). Precipitation and temperature simulated by the RCMs were statistically downscaled using quantile mapping, while wind speed, solar radiation, and relative humidity were projected using K-nearest neighbor downscaling. The evolution of the indices was then assessed between the reference period (1976–2005) and three future periods (2011–2040, 2041–2070, and 2071–2100). Multimodel average results suggest that (i) independently of the scenario and period, PCPTOT and SPI will increase in the north, east, and western extremities of the basin and decrease in the basin’s center. (ii) The maximum increase (+ 24%) and decrease (− 6%) in PCPTOT were both projected under RCP 8.5 in the 2071–2100 period. (iii) PCP20 will increase independently of the period and scenario. Under RCP 8.5, in the 2071–2100 period, PCP20 will increase by 94% on average over the whole watershed. (iv) The SPEI results suggest that in all periods and scenarios, the rise in evapotranspiration due to higher temperatures will offset annual precipitation increases in the north, east, and western extremities of the basin. Increased evaporation will exacerbate the decrease in annual precipitation in the center, leading to increased drought frequency in the entire basin.

Highlights

  • The Congo River Basin (Fig. 1) is in central Africa and has a drainage area of approximately 3.7 M ­km2

  • A total of 63 stations were retained for precipitation (51 daily time series were obtained by disaggregation and 12 were added from the WFDEI precipitation), and 121 time series of maximum and minimum temperature from the WFDEI reanalysis were downscaled using the quantile mapping downscaling method

  • Four climate indices were selected and estimated using the downscaled outputs from eleven regional climate models under representative concentration pathways Representative Concentration Pathway (RCP) 4.5 and RCP 8.5

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Summary

Introduction

The Congo River Basin (Fig. 1) is in central Africa and has a drainage area of approximately 3.7 M ­km2 It is the second-largest river basin in the world, after the Amazon. The Congo basin, along with the western Pacific Ocean and the Amazon basin, is a significant source of major storms It experiences droughts: there is evidence of rainforest contraction and forest composition changes during dry periods in the past 3000 years (Lewis et al 2009; Malhi et al 2013). There were 3062 casualties, and the total economic damages are estimated to be 96 billion USD (EM-DAT 2020) These extreme events in the Congo basin are related to rainfall variability, which may be exacerbated by climate change at a level that may challenge the livelihood of people living in the basin. It is crucial to analyze the current and future evolution of extreme events, such as precipitation and drought frequency/intensity, for the preservation of local infrastructure and livelihood sustainability, between the reference period (1976–2005) and three future periods (2011–2040, 2041–2070, and 2071–2100)

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