Explore open access research and scholarly works from NERC Open Research Archive

Advanced Search

Brief communication. Drought likelihood for East Africa

Yang, Hui; Huntingford, Chris ORCID: https://orcid.org/0000-0002-5941-7770. 2018 Brief communication. Drought likelihood for East Africa. Natural Hazards and Earth System Sciences, 18 (2). 491-497. 10.5194/nhess-18-491-2018

Abstract
The East Africa drought in autumn of year 2016 caused malnutrition, illness and death. Close to 16 million people across Somalia, Ethiopia and Kenya needed food, water and medical assistance. Many factors influence drought stress and response. However, inevitably the following question is asked: are elevated greenhouse gas concentrations altering extreme rainfall deficit frequency? We investigate this with general circulation models (GCMs). After GCM bias correction to match the climatological mean of the CHIRPS data-based rainfall product, climate models project small decreases in probability of drought with the same (or worse) severity as 2016 ASO (August to October) East African event. This is by the end of the 21st century compared to the probabilities for present day. However, when further adjusting the climatological variability of GCMs to also match CHIRPS data, by additionally bias-correcting for variance, then the probability of drought occurrence will increase slightly over the same period.
Documents
519374:124551
[thumbnail of N519374JA.pdf]
Preview
N519374JA.pdf - Published Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview
Information
Programmes:
UKCEH and CEH Science Areas 2017-24 (Lead Area only) > Hydro-climate Risks
Library
Statistics

Downloads per month over past year

More statistics for this item...

Metrics

Altmetric Badge

Dimensions Badge

Share
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email
View Item