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    Attribution Analysis of the Ethiopian Drought of 2015

    Source: Journal of Climate:;2017:;volume 031:;issue 006::page 2465
    Author:
    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-17-0274.1
    Publisher: 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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      Attribution Analysis of the Ethiopian Drought of 2015

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    contributor authorPhilip, Sjoukje
    contributor authorKew, Sarah F.
    contributor authorJan van Oldenborgh, Geert
    contributor authorOtto, Friederike
    contributor authorO’Keefe, Sarah
    contributor authorHaustein, Karsten
    contributor authorKing, Andrew
    contributor authorZegeye, Abiy
    contributor authorEshetu, Zewdu
    contributor authorHailemariam, Kinfe
    contributor authorSingh, Roop
    contributor authorJjemba, Eddie
    contributor authorFunk, Chris
    contributor authorCullen, Heidi
    date accessioned2019-09-19T10:08:49Z
    date available2019-09-19T10:08:49Z
    date copyright10/19/2017 12:00:00 AM
    date issued2017
    identifier otherjcli-d-17-0274.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4262061
    description abstractAbstractIn 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.
    publisherAmerican Meteorological Society
    titleAttribution Analysis of the Ethiopian Drought of 2015
    typeJournal Paper
    journal volume31
    journal issue6
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-17-0274.1
    journal fristpage2465
    journal lastpage2486
    treeJournal of Climate:;2017:;volume 031:;issue 006
    contenttypeFulltext
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