气候变化领域集成服务门户(CCPortal): Statistical approaches for identification of low-flow drivers: temporal aspects

CCPortal

DOI	10.5194/hess-23-447-2019
	Statistical approaches for identification of low-flow drivers: temporal aspects
	Fangmann, Anne; Haberlandt, Uwe
发表日期	2019-01-25
ISSN	1027-5606
EISSN	1607-7938
卷号	23 期号:1 页码:447-463
英文摘要	The characteristics of low-flow periods, especially regarding their low temporal dynamics, suggest that the dimensions of the metrics related to these periods may be easily related to their meteorological drivers using simplified statistical model approac
学科领域	Geosciences, Multidisciplinary;Water Resources
语种	英语
WOS记录号	WOS:000456805400001
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/81947
作者单位	Leibniz Univ Hannover, Inst Hydrol & Water Resources Management, Hannover, Germany
推荐引用方式 GB/T 7714	Fangmann, Anne,Haberlandt, Uwe. Statistical approaches for identification of low-flow drivers: temporal aspects[J],2019,23(1):447-463.
APA	Fangmann, Anne,&Haberlandt, Uwe.(2019).Statistical approaches for identification of low-flow drivers: temporal aspects.HYDROLOGY AND EARTH SYSTEM SCIENCES,23(1),447-463.
MLA	Fangmann, Anne,et al."Statistical approaches for identification of low-flow drivers: temporal aspects".HYDROLOGY AND EARTH SYSTEM SCIENCES 23.1(2019):447-463.