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areviewofunderlyingsurfaceparameterizationmethodsinhydrologicmodels
Zhao Lingling1; Liu Changming2; Sobkowiak Leszek3; Wu Xiaoxiao4; Liu Jiafu5
2019
Source Publicationjournalofgeographicalsciences
ISSN1009-637X
Volume29Issue:6Pages:1039
AbstractNumerous 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.
Language英语
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/98590
Collection中国科学院地理科学与资源研究所
Affiliation1.中国科学院广州地球化学研究所
2.中国科学院地理科学与资源研究所
3.Adam Mickiewicz University, Institute of Physical Geography and Environmental Planning
4.安徽大学
5.Maoming Branch Hydrological Bureau of Guangdong Province
Recommended Citation
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.
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