干旱区生态环境知识资源中心(Arid): In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics

Arid

DOI	10.1029/2018WR024178
	In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics
	Yang, Yuan 1,2; Pan, Ming 2; Beck, Hylke E.2; Fisher, Colby K.2; Beighley, R. Edward 3; Kao, Shih-Chieh 4,5; Hong, Yang 1,6; Wood, Eric F.2
通讯作者	Pan, Ming ; Hong, Yang
来源期刊	WATER RESOURCES RESEARCH
ISSN	0043-1397
EISSN	1944-7973
出版年	2019
卷号	55 期号:9 页码:7784-7803
英文摘要	Conventional basin-by-basin approaches to calibrate hydrologic models are limited to gauged basins and typically result in spatially discontinuous parameter fields. Moreover, the consequent low calibration density in space falls seriously behind the need from present-day applications like high resolution river hydrodynamic modeling. In this study we calibrated three key parameters of the Variable Infiltration Capacity (VIC) model at every 1/8 degrees grid-cell using machine learning-based maps of four streamflow characteristics for the conterminous United States (CONUS), with a total of 52,663 grid-cells. This new calibration approach, as an alternative to parameter regionalization, applied to ungauged regions too. A key difference made here is that we tried to regionalize physical variables (streamflow characteristics) instead of model parameters whose behavior may often be less well understood. The resulting parameter fields no longer presented any spatial discontinuities and the patterns corresponded well with climate characteristics, such as aridity and runoff ratio. The calibrated parameters were evaluated against observed streamflow from 704/648 (calibration/validation period) small-to-medium-sized catchments used to derive the streamflow characteristics, 3941/3809 (calibration/validation period) small-to-medium-sized catchments not used to derive the streamflow characteristics as well as five large basins. Comparisons indicated marked improvements in bias and Nash-Sutcliffe efficiency. Model performance was still poor in arid and semiarid regions, which is mostly due to both model structural and forcing deficiencies. Although the performance gain was limited by the relative small number of parameters to calibrate, the study and results here served as a proof-of-concept for a new promising approach for fine-scale hydrologic model calibrations.
类型	Article
语种	英语
国家	Peoples R China ; USA
开放获取类型	hybrid, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000487407800001
WOS关键词	LAND-SURFACE MODELS ; CLIMATE-CHANGE ; GLOBAL OPTIMIZATION ; CHANGE IMPACT ; VIC-2L MODEL ; LARGE-SCALE ; DATA SET ; PRECIPITATION ; RUNOFF ; REGIONALIZATION
WOS类目	Environmental Sciences ; Limnology ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
来源机构	清华大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/219298
作者单位	1.Tsinghua Univ, State Key Lab Hydrosci & Engn, Dept Hydraul Engn, Beijing, Peoples R China; 2.Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA; 3.Northeastern Univ, Dept Civil & Environm Engn, Boston, MA 02115 USA; 4.Oak Ridge Natl Lab, Environm Sci Div, Oak Ridge, TN USA; 5.Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN USA; 6.Univ Oklahoma, Sch Civil Engn & Environm Sci, Norman, OK 73019 USA
推荐引用方式 GB/T 7714	Yang, Yuan,Pan, Ming,Beck, Hylke E.,et al. In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics[J]. 清华大学,2019,55(9):7784-7803.
APA	Yang, Yuan.,Pan, Ming.,Beck, Hylke E..,Fisher, Colby K..,Beighley, R. Edward.,...&Wood, Eric F..(2019).In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics.WATER RESOURCES RESEARCH,55(9),7784-7803.
MLA	Yang, Yuan,et al."In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics".WATER RESOURCES RESEARCH 55.9(2019):7784-7803.