Attribution Analysis of the Ethiopian Drought of 2015Source: Journal of Climate:;2017:;volume 031:;issue 006::page 2465Author:Philip, Sjoukje
,
Kew, Sarah F.
,
Jan van Oldenborgh, Geert
,
Otto, Friederike
,
O’Keefe, Sarah
,
Haustein, Karsten
,
King, Andrew
,
Zegeye, Abiy
,
Eshetu, Zewdu
,
Hailemariam, Kinfe
,
Singh, Roop
,
Jjemba, Eddie
,
Funk, Chris
,
Cullen, Heidi
DOI: 10.1175/JCLI-D-17-0274.1Publisher: American Meteorological Society
Abstract: AbstractIn northern and central Ethiopia, 2015 was a very dry year. Rainfall was only from one-half to three-quarters of the usual amount, with both the ?belg? (February?May) and ?kiremt? rains (June?September) affected. The timing of the rains that did fall was also erratic. Many crops failed, causing food shortages for many millions of people. The role of climate change in the probability of a drought like this is investigated, focusing on the large-scale precipitation deficit in February?September 2015 in northern and central Ethiopia. Using a gridded analysis that combines station data with satellite observations, it is estimated that the return period of this drought was more than 60 years (lower bound 95% confidence interval), with a most likely value of several hundred years. No trend is detected in the observations, but the large natural variability and short time series means large trends could go undetected in the observations. Two out of three large climate model ensembles that simulated rainfall reasonably well show no trend while the third shows an increased probability of drought. Taking the model spread into account the drought still cannot be clearly attributed to anthropogenic climate change, with the 95% confidence interval ranging from a probability decrease between preindustrial and today of a factor of 0.3 and an increase of a factor of 5 for a drought like this one or worse. A soil moisture dataset also shows a nonsignificant drying trend. According to ENSO correlations in the observations, the strong 2015 El Niño did increase the severity of the drought.
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contributor author | Philip, Sjoukje | |
contributor author | Kew, Sarah F. | |
contributor author | Jan van Oldenborgh, Geert | |
contributor author | Otto, Friederike | |
contributor author | O’Keefe, Sarah | |
contributor author | Haustein, Karsten | |
contributor author | King, Andrew | |
contributor author | Zegeye, Abiy | |
contributor author | Eshetu, Zewdu | |
contributor author | Hailemariam, Kinfe | |
contributor author | Singh, Roop | |
contributor author | Jjemba, Eddie | |
contributor author | Funk, Chris | |
contributor author | Cullen, Heidi | |
date accessioned | 2019-09-19T10:08:49Z | |
date available | 2019-09-19T10:08:49Z | |
date copyright | 10/19/2017 12:00:00 AM | |
date issued | 2017 | |
identifier other | jcli-d-17-0274.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4262061 | |
description abstract | AbstractIn northern and central Ethiopia, 2015 was a very dry year. Rainfall was only from one-half to three-quarters of the usual amount, with both the ?belg? (February?May) and ?kiremt? rains (June?September) affected. The timing of the rains that did fall was also erratic. Many crops failed, causing food shortages for many millions of people. The role of climate change in the probability of a drought like this is investigated, focusing on the large-scale precipitation deficit in February?September 2015 in northern and central Ethiopia. Using a gridded analysis that combines station data with satellite observations, it is estimated that the return period of this drought was more than 60 years (lower bound 95% confidence interval), with a most likely value of several hundred years. No trend is detected in the observations, but the large natural variability and short time series means large trends could go undetected in the observations. Two out of three large climate model ensembles that simulated rainfall reasonably well show no trend while the third shows an increased probability of drought. Taking the model spread into account the drought still cannot be clearly attributed to anthropogenic climate change, with the 95% confidence interval ranging from a probability decrease between preindustrial and today of a factor of 0.3 and an increase of a factor of 5 for a drought like this one or worse. A soil moisture dataset also shows a nonsignificant drying trend. According to ENSO correlations in the observations, the strong 2015 El Niño did increase the severity of the drought. | |
publisher | American Meteorological Society | |
title | Attribution Analysis of the Ethiopian Drought of 2015 | |
type | Journal Paper | |
journal volume | 31 | |
journal issue | 6 | |
journal title | Journal of Climate | |
identifier doi | 10.1175/JCLI-D-17-0274.1 | |
journal fristpage | 2465 | |
journal lastpage | 2486 | |
tree | Journal of Climate:;2017:;volume 031:;issue 006 | |
contenttype | Fulltext |