The coupled routing and excess storage (CREST) distributed hydrological model

被引：194

作者：

Wang, Jiahu ^{[1
,2
]}

Yang, Hong ^{[1
]}

Li, Li ^{[1
,2
]}

Gourley, Jonathan J. ^{[3
]}

Sadiq, Khan I. ^{[1
]}

Yilmaz, Koray K. ^{[4
,5
]}

Adler, Robert F. ^{[4
,5
]}

Policelli, Frederick S. ^{[4
]}

Habib, Shahid ^{[4
]}

Irwn, Daniel ^{[6
]}

Limaye, Ashutosh S. ^{[6
]}

Korme, Tesfaye ^{[7
]}

Okello, Lawrence ^{[7
]}

机构：

[1] Univ Oklahoma, Sch Civil Engn & Environm Sci, Norman, OK 73019 USA

[2] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Peoples R China

[3] NOAA, Natl Severe Storms Lab, Norman, OK 73072 USA

[4] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA

[5] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20740 USA

[6] NASA, George C Marshall Space Flight Ctr, Huntsville, AL 35812 USA

[7] African Reg Ctr Mapping Resources Dev RCMRD, Nairobi, Kenya

来源：

HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES | 2011年 / 56卷 / 01期

基金：

中国国家自然科学基金;

关键词：

distributed hydrological model; cell-to-cell routing; excess storage; water balance; CREST; Lake Victoria; CLIMATE; UNCERTAINTY; SIMULATION; RUNOFF;

D O I：

10.1080/02626667.2010.543087

中图分类号：

TV21 [水资源调查与水利规划];

学科分类号：

081501 ;

摘要：

The Coupled Routing and Excess STorage model (CREST, jointly developed by the University of Oklahoma and NASA SERVIR) is a distributed hydrological model developed to simulate the spatial and temporal variation of land surface, and subsurface water fluxes and storages by cell-to-cell simulation. CREST's distinguishing characteristics include: (1) distributed rainfall-runoff generation and cell-to-cell routing; (2) coupled runoff generation and routing via three feedback mechanisms; and (3) representation of sub-grid cell variability of soil moisture storage capacity and sub-grid cell routing (via linear reservoirs). The coupling between the runoff generation and routing mechanisms allows detailed and realistic treatment of hydrological variables such as soil moisture. Furthermore, the representation of soil moisture variability and routing processes at the sub-grid scale enables the CREST model to be readily scalable to multi-scale modelling research. This paper presents the model development and demonstrates its applicability for a case study in the Nzoia basin located in Lake Victoria, Africa.

引用

页码：84 / 98

页数：15

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