DOI: 10.5194/hess-18-67-2014
Scopus记录号: 2-s2.0-84891841889
论文题名: A large-scale, high-resolution hydrological model parameter data set for climate change impact assessment for the conterminous US
作者: Oubeidillah A ; A ; , Kao S ; C ; , Ashfaq M ; , Naz B ; S ; , Tootle G
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期: 1 起始页码: 67
结束页码: 84
语种: 英语
Scopus关键词: Climate change impact
; Climate change impact assessments
; Geographical coverage
; High-performance computing
; Hydrologic simulations
; Hydrological modeling
; Meteorological forcing
; Variable infiltration capacities
; Calibration
; Climate change
; Climate models
; Data processing
; Runoff
; Parameter estimation
; climate change
; climate effect
; data processing
; data set
; infiltration
; meteorology
; runoff
; spatial resolution
; United States
英文摘要: To extend geographical coverage, refine spatial resolution, and improve modeling efficiency, a computation- and data-intensive effort was conducted to organize a comprehensive hydrologic data set with post-calibrated model parameters for hydro-climate impact assessment. Several key inputs for hydrologic simulation - including meteorologic forcings, soil, land class, vegetation, and elevation - were collected from multiple best-available data sources and organized for 2107 hydrologic subbasins (8-digit hydrologic units, HUC8s) in the conterminous US at refined 1/24 (∼4 km) spatial resolution. Using high-performance computing for intensive model calibration, a high-resolution parameter data set was prepared for the macro-scale variable infiltration capacity (VIC) hydrologic model. The VIC simulation was driven by Daymet daily meteorological forcing and was calibrated against US Geological Survey (USGS) WaterWatch monthly runoff observations for each HUC8. The results showed that this new parameter data set may help reasonably simulate runoff at most US HUC8 subbasins. Based on this exhaustive calibration effort, it is now possible to accurately estimate the resources required for further model improvement across the entire conterminous US. We anticipate that through this hydrologic parameter data set, the repeated effort of fundamental data processing can be lessened, so that research efforts can emphasize the more challenging task of assessing climate change impacts. The pre-organized model parameter data set will be provided to interested parties to support further hydro-climate impact assessment ©2014. CC Attribution 3.0 License. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78358
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Oak Ridge National Laboratory, Oak Ridge, TN, United States; University of Alabama, Tuscaloosa, AL, United States
Recommended Citation:
Oubeidillah A,A,, Kao S,et al. A large-scale, high-resolution hydrological model parameter data set for climate change impact assessment for the conterminous US[J]. Hydrology and Earth System Sciences,2014-01-01,18(1)