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DOI	10.5194/hess-22-4649-2018
	The effect of climate type on timescales of drought propagation in an ensemble of global hydrological models
	Gevaert A.I.; Veldkamp T.I.E.; Ward P.J.
发表日期	2018
ISSN	1027-5606
起始页码	4649
结束页码	4665
卷号	22 期号:9
英文摘要	Drought is a natural hazard that occurs at many temporal and spatial scales and has severe environmental and socioeconomic impacts across the globe. The impacts of drought change as drought evolves from precipitation deficits to deficits in soil moisture or streamflow. Here, we quantified the time taken for drought to propagate from meteorological drought to soil moisture drought and from meteorological drought to hydrological drought. We did this by cross-correlating the Standardized Precipitation Index (SPI) against standardized indices (SIs) of soil moisture, runoff, and streamflow from an ensemble of global hydrological models (GHMs) forced by a consistent meteorological dataset. Drought propagation is strongly related to climate types, occurring at sub-seasonal timescales in tropical climates and at up to multi-annual timescales in continental and arid climates. Winter droughts are usually related to longer SPI accumulation periods than summer droughts, especially in continental and tropical savanna climates. The difference between the seasons is likely due to winter snow cover in the former and distinct wet and dry seasons in the latter. Model structure appears to play an important role in model variability, as drought propagation to soil moisture drought is slower in land surface models (LSMs) than in global hydrological models, but propagation to hydrological drought is faster in land surface models than in global hydrological models. The propagation time from SPI to hydrological drought in the models was evaluated against observed data at 127 in situ streamflow stations. On average, errors between observed and modeled drought propagation timescales are small and the model ensemble mean is preferred over the use of a single model. Nevertheless, there is ample opportunity for improvement as substantial differences in drought propagation are found at 10 % of the study sites. A better understanding and representation of drought propagation in models may help improve seasonal drought forecasting as well as constrain drought variability under future climate scenarios. © Author(s) 2018.
语种	英语
scopus关键词	Drought; Snow; Soil moisture; Stream flow; Surface measurement; Tropics; Weather forecasting; Future climate scenarios; Hydrological droughts; Meteorological drought; Multi-annual timescales; Precipitation deficits; Socio-economic impacts; Standardized precipitation index; Temporal and spatial scale; Climate models; drought; environmental impact; hydrological modeling; natural hazard; precipitation (climatology); runoff; savanna; snow cover; socioeconomic impact; soil moisture; spatiotemporal analysis; streamflow
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159924
作者单位	Gevaert, A.I., Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Veldkamp, T.I.E., Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, Netherlands, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria; Ward, P.J., Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, Netherlands
推荐引用方式 GB/T 7714	Gevaert A.I.,Veldkamp T.I.E.,Ward P.J.. The effect of climate type on timescales of drought propagation in an ensemble of global hydrological models[J],2018,22(9).
APA	Gevaert A.I.,Veldkamp T.I.E.,&Ward P.J..(2018).The effect of climate type on timescales of drought propagation in an ensemble of global hydrological models.Hydrology and Earth System Sciences,22(9).
MLA	Gevaert A.I.,et al."The effect of climate type on timescales of drought propagation in an ensemble of global hydrological models".Hydrology and Earth System Sciences 22.9(2018).