Published February 15, 2019 | Version v1
Journal article

Projections of West African summer monsoon rainfall extremes from two CORDEX models

  • 1. City University of Hong Kong, Guy Carpenter Asia-Pacific Climate Impact Centre, School of Energy and Environment (China)

Description

Global warming has a profound impact on the vulnerable environment of West Africa; hence, robust climate projection, especially of rainfall extremes, is quite important. Based on two representative concentration pathway (RCP) scenarios, projected changes in extreme summer rainfall events over West Africa were investigated using data from the Coordinated Regional Climate Downscaling Experiment models. Eight (8) extreme rainfall indices (CDD, CWD, r10mm, r20mm, PRCPTOT, R95pTOT, rx5day, and sdii) defined by the Expert Team on Climate Change Detection and Indices were used in the study. The performance of the regional climate model (RCM) simulations was validated by comparing with GPCP and TRMM observation data sets. Results show that the RCMs reasonably reproduced the observed pattern of extreme rainfall over the region and further added significant value to the driven GCMs over some grids. Compared to the baseline period 1976–2005, future changes (2070–2099) in summer rainfall extremes under the RCP4.5 and RCP8.5 scenarios show statistically significant decreasing total rainfall (PRCPTOT), while consecutive dry days and extreme rainfall events (R95pTOT) are projected to increase significantly. There are obvious indications that simple rainfall intensity (sdii) will increase in the future. This does not amount to an increase in total rainfall but suggests a likelihood of greater intensity of rainfall events. Overall, our results project that West Africa may suffer more natural disasters such as droughts and floods in the future.

Additional details

Identifiers

Publishing Information

Journal Title
Climate Dynamics
Journal Volume
52
Journal Issue
3-4
Journal Page Range
p. 2017-2028
ISSN
0930-7575
CODEN
CLDYEM

INIS

Country of Publication
Germany
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52005485
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
ABUNDANCE; AFRICA; ATMOSPHERIC CIRCULATION; CLIMATE MODELS; COMPUTERIZED SIMULATION; DROUGHTS; FLOODS; FORECASTING; GREENHOUSE EFFECT; MONSOONS; NATURAL DISASTERS; RAIN; SEASONS
Descriptors DEC
ATMOSPHERIC PRECIPITATIONS; CLIMATIC CHANGE; MATHEMATICAL MODELS; SIMULATION; STORMS

Optional Information

Copyright
Copyright (c) 2019 Springer-Verlag GmbH Germany, part of Springer Nature