DOI: 10.5194/hess-18-1625-2014
Scopus记录号: 2-s2.0-84900005676
论文题名: Comparison of drought indicators derived from multiple data sets over Africa
作者: Naumann G ; , Dutra E ; , Barbosa P ; , Pappenberger F ; , Wetterhall F ; , Vogt J ; V
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期: 5 起始页码: 1625
结束页码: 1640
语种: 英语
Scopus关键词: Climatology
; Rain
; Rain gages
; Soil moisture
; Climate prediction centers
; Distribution parameters
; Global precipitation
; Global precipitation climatology projects
; Precipitation time series
; Southeastern Africa
; Standardized precipitation index
; Tropical rainfall measuring mission satellites
; Drought
; annual variation
; climate conditions
; climate modeling
; climate prediction
; data set
; drought
; environmental indicator
; reliability analysis
; satellite imagery
; time series
; Africa
英文摘要: Drought monitoring is a key component to mitigate impacts of droughts. Lack of reliable and up-to-date precipitation data sets is a common challenge across the globe. This study investigates different data sets and drought indicators on their capability to improve drought monitoring in Africa. The study was performed for four river basins located in different climatic regions (the Oum er-Rbia in Morocco, the Blue Nile in eastern Africa, the Upper Niger in western Africa, and the Limpopo in southeastern Africa) as well as the Greater Horn of Africa. The five precipitation data sets compared are the ECMWF ERA-Interim reanalysis, the Tropical Rainfall Measuring Mission satellite monthly rainfall product 3B-43, the Global Precipitation Climatology Centre gridded precipitation data set, the Global Precipitation Climatology Project Global Monthly Merged Precipitation Analyses, and the Climate Prediction Center Merged Analysis of Precipitation. The set of drought indicators used includes the Standardized Precipitation Index, the Standardized Precipitation-Evaporation Index, and Soil Moisture Anomalies. A comparison of the annual cycle and monthly precipitation time series shows a good agreement in the timing of the rainy seasons. The main differences between the data sets are in the ability to represent the magnitude of the wet seasons and extremes. Moreover, for the areas affected by drought, all the drought indicators agree on the time of drought onset and recovery although there is disagreement on the extent of the affected area. In regions with limited rain gauge data the estimation of the different drought indicators is characterized by a higher uncertainty. Further comparison suggests that the main source of differences in the computation of the drought indicators is the uncertainty in the precipitation data sets rather than the estimation of the distribution parameters of the drought indicators. © Author(s) 2014. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78256
Appears in Collections: 气候变化事实与影响
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作者单位: European Commission, Joint Research Centre, Ispra, Italy; European Centre for Medium Range Weather Forecasts, Reading, United Kingdom
Recommended Citation:
Naumann G,, Dutra E,, Barbosa P,et al. Comparison of drought indicators derived from multiple data sets over Africa[J]. Hydrology and Earth System Sciences,2014-01-01,18(5)