气候变化领域集成服务门户(CCPortal): Evaluation of two satellite-based products against ground-based observation for drought analysis in the southern part of Iran

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DOI	10.1007/s11069-020-03965-2
	Evaluation of two satellite-based products against ground-based observation for drought analysis in the southern part of Iran
	Jafari S.M.; Nikoo M.R.; Dehghani M.; Alijanian M.
发表日期	2020
ISSN	0921030X
起始页码	1249
结束页码	1267
卷号	102 期号:3
英文摘要	Water stress or more specifically drought assessment plays a key role in water management, especially in extreme climate conditions. Basically, globally gridded satellite-based precipitation products are potential sources of data as alternatives for ground-based measurements. However, for a reliable application, they should be evaluated in different regions. In this paper, two satellite-based rainfall products, namely Modern-Era Retrospective Analysis for Research and Applications (MERRA)-Land and Global Land Data Assimilation System-2 (GLDAS-2), have been evaluated against ground-based observations in terms of precipitation and their application for drought analysis. At first, the coarse-resolution MERRA-Land is downscaled to the finer resolution of interest for better comparison. After comparison of these datasets against ground-based observations in terms of precipitation, it is concluded that MERRA-Land can better estimate precipitation. Then, the nonparametric SPIs at various timescales are derived to analyze how well MERRA-Land performs in drought monitoring. Different categorical and statistical error indices are used to assess the efficiency of MERRA-Land in capturing drought events. The results revealed that the downscaled MERRA-Land data can properly detect short-term and mid-term drought events known as agricultural and meteorological droughts throughout the study area, respectively. In addition, drought maps show that the majority of lands experience mid-term scale drought which are in agreement with ground-based observations. The methodology adopted in this study can be applied in areas lacking in rain-gauge stations which significantly extend current capabilities for drought monitoring and early warning systems. © 2020, Springer Nature B.V.
关键词	Downscaling Drought GLDAS-2 Iran MERRA-Land Satellite-based product
英文关键词	data assimilation; downscaling; drought; early warning system; efficiency measurement; extreme event; ground-based measurement; raingauge; reliability analysis; satellite data; water management; water stress; Iran
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/205744
作者单位	Department of Natural Resources and Environmental Studies, University of Northern British ColumbiaBC, Canada; School of Engineering, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran; Department of Civil Engineering and Transportation, University of Isfahan, Isfahan, Iran
推荐引用方式 GB/T 7714	Jafari S.M.,Nikoo M.R.,Dehghani M.,et al. Evaluation of two satellite-based products against ground-based observation for drought analysis in the southern part of Iran[J],2020,102(3).
APA	Jafari S.M.,Nikoo M.R.,Dehghani M.,&Alijanian M..(2020).Evaluation of two satellite-based products against ground-based observation for drought analysis in the southern part of Iran.Natural Hazards,102(3).
MLA	Jafari S.M.,et al."Evaluation of two satellite-based products against ground-based observation for drought analysis in the southern part of Iran".Natural Hazards 102.3(2020).