areviewofunderlyingsurfaceparameterizationmethodsinhydrologicmodels

	areviewofunderlyingsurfaceparameterizationmethodsinhydrologicmodels
	Zhao Lingling 2; Liu Changming 3; Sobkowiak Leszek 4; Wu Xiaoxiao 5; Liu Jiafu 1
刊名	journalofgeographicalsciences
	2019
卷号	29 期号:6 页码:1039
ISSN号	1009-637X
英文摘要	Numerous topography, land-cover, land-use, and soil-type parameterization methods are required to simulate the hydrologic cycle. In this paper, using the principles of hydrologic cycle simulation, 20 methods commonly applied to runoff-yield simulation are analyzed. Additionally, parameterization methods used in 17 runoff-yield simulation methods and 15 confluence methods are discussed, including the degree of parameterization. Next, the parameterization methods are classified into four categories: not clearly expressed; calibrated; deterministic; and physical–conceptual. Furthermore, we clarify responses and contributions of different parameterization methods to hydrologic cycle simulation results. Finally, major weaknesses of simplified descriptions of complex rational and physical mechanisms in the parameterization methods of the underlying surfaces in hydrologic models are outlined, and two directions of future development are estimated, looking toward simple practicality and complex mechanization.
语种	英语
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/98589]
专题	中国科学院地理科学与资源研究所
作者单位	1.Maoming Branch Hydrological Bureau of Guangdong Province 2.中国科学院广州地球化学研究所 3.中国科学院地理科学与资源研究所 4.Adam Mickiewicz University, Institute of Physical Geography and Environmental Planning 5.安徽大学
推荐引用方式 GB/T 7714	Zhao Lingling,Liu Changming,Sobkowiak Leszek,et al. areviewofunderlyingsurfaceparameterizationmethodsinhydrologicmodels[J]. journalofgeographicalsciences,2019,29(6):1039.
APA	Zhao Lingling,Liu Changming,Sobkowiak Leszek,Wu Xiaoxiao,&Liu Jiafu.(2019).areviewofunderlyingsurfaceparameterizationmethodsinhydrologicmodels.journalofgeographicalsciences,29(6),1039.
MLA	Zhao Lingling,et al."areviewofunderlyingsurfaceparameterizationmethodsinhydrologicmodels".journalofgeographicalsciences 29.6(2019):1039.