干旱区生态环境知识资源中心(Arid): Uncertainty in Drought Identification Due to Data Choices, and the Value of Triangulation

Arid

DOI	10.3390/w13243611
	Uncertainty in Drought Identification Due to Data Choices, and the Value of Triangulation
	Borona, Pius; Busch, Friedrich; Krueger, Tobias; Rufin, Philippe
通讯作者	Borona, P (corresponding author)，Humboldt Univ, IRI THESys, Unter Linden 6, D-10099 Berlin, Germany. ; Borona, P (corresponding author)，Humboldt Univ, Geog Dept, Unter Linden 6, D-10099 Berlin, Germany.
来源期刊	WATER
EISSN	2073-4441
出版年	2021
卷号	13 期号:24
英文摘要	Droughts are complex and gradually evolving conditions of extreme water deficits which can compromise livelihoods and ecological integrity, especially in fragile arid and semi-arid regions that depend on rainfed farming, such as Kitui West in south-eastern Kenya. Against the background of low ground-station density, 10 gridded rainfall products and four gridded temperature products were used to generate an ensemble of 40 calculations of the Standardized Precipitation Evapotranspiration Index (SPEI) to assess uncertainties in the onset, duration, and magnitude of past droughts. These uncertainties were driven more by variations between the rainfall products than variations between the temperature products. Remaining ambiguities in drought occurrence could be resolved by complementing the quantitative analysis with ground-based information from key informants engaged in disaster relief, effectively formulating an ensemble approach to SPEI-based drought identification to aid decision making. The reported trend towards drier conditions in Eastern Africa was confirmed for Kitui West by the majority of data products, whereby the rainfall effect on those increasingly dry conditions was subtler than just annual and seasonal declines and greater annual variation of rainfall, which requires further investigation. Nevertheless, the effects of increasing droughts are already felt on the ground and warrant decisive action.
英文关键词	droughts gridded data SPEI semi-arid Eastern Africa
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000737332000001
WOS关键词	GREATER HORN ; DATA SETS ; VARIABILITY ; PRECIPITATION ; AFRICA ; CLIMATOLOGY ; TRENDS ; KENYA
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/375798
作者单位	[Borona, Pius; Busch, Friedrich; Krueger, Tobias] Humboldt Univ, IRI THESys, Unter Linden 6, D-10099 Berlin, Germany; [Borona, Pius; Busch, Friedrich; Krueger, Tobias; Rufin, Philippe] Humboldt Univ, Geog Dept, Unter Linden 6, D-10099 Berlin, Germany; [Rufin, Philippe] Catholic Univ Louvain, Earth & Life Inst, Pl Pasteur 3, B-1348 Louvain, Belgium
推荐引用方式 GB/T 7714	Borona, Pius,Busch, Friedrich,Krueger, Tobias,et al. Uncertainty in Drought Identification Due to Data Choices, and the Value of Triangulation[J],2021,13(24).
APA	Borona, Pius,Busch, Friedrich,Krueger, Tobias,&Rufin, Philippe.(2021).Uncertainty in Drought Identification Due to Data Choices, and the Value of Triangulation.WATER,13(24).
MLA	Borona, Pius,et al."Uncertainty in Drought Identification Due to Data Choices, and the Value of Triangulation".WATER 13.24(2021).