A large-scale, high-resolution hydrological model parameter data set for climate change impact assessment for the conterminous US

dc.contributor.authorOubeidillah, A. A.
dc.contributor.authorKao, S. -C.
dc.contributor.authorAshfaq, M.
dc.contributor.authorNaz, B. S.
dc.contributor.authorTootle, G.
dc.contributor.otherUnited States Department of Energy (DOE)
dc.contributor.otherOak Ridge National Laboratory
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.coverage.spatialUnited States
dc.date.accessioned2018-10-17T20:57:09Z
dc.date.available2018-10-17T20:57:09Z
dc.date.issued2014-01-07
dc.description.abstractTo 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 degrees (similar to 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.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.citationOubeidillah, A., Kao, S., Ashfaq, M., Naz, B., Tootle, G. (2014): A Large-Scale, HighResolution Hydrological Model Parameter Data Set for Climate Change Impact Assessment for the Conterminous US. Hydrology and Earth System Sciences, vol. 18. DOI: https://doi.org/10.5194/hess-18-67-2014
dc.identifier.doi10.5194/hess-18-67-2014
dc.identifier.orcidhttps://orcid.org/0000-0002-3207-5328
dc.identifier.orcidhttps://orcid.org/0000-0001-9888-1384
dc.identifier.orcidhttps://orcid.org/0000-0003-4106-3027
dc.identifier.urihttp://ir.ua.edu/handle/123456789/4041
dc.languageEnglish
dc.language.isoen_US
dc.publisherCopernicus GmbH
dc.rights.licenseAttribution 3.0 Unported (CC BY 3.0)
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.subjectSPATIAL VARIABILITY
dc.subjectWATER-RESOURCES
dc.subjectMULTISITE CALIBRATION
dc.subjectSOIL-MOISTURE
dc.subjectVIC-2L MODEL
dc.subjectSIMULATION
dc.subjectSTREAMFLOW
dc.subjectFLUXES
dc.subjectTEMPERATURE
dc.subjectFORMULATION
dc.subjectGeosciences, Multidisciplinary
dc.subjectWater Resources
dc.subjectGeology
dc.subject.lcshClimatic changes
dc.subject.lcshHydrology—Research
dc.titleA large-scale, high-resolution hydrological model parameter data set for climate change impact assessment for the conterminous USen_US
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dc.typeArticle
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