Digital Hydrologic Networks Supporting Applications Related to Spatially Referenced Regression Modeling1

Brakebill, John W.; Wolock, David M.; Terziotti, Silvia

doi:10.1111/j.1752-1688.2011.00578.x

Cited by 69 publications

(89 citation statements)

References 46 publications

(98 reference statements)

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“…Another observational product, the USGS WaterWatch runoff (Brakebill et al, 2011), was found to be more useful in this study. Derived from the comprehensive NWIS gauge observation, WaterWatch runoff is the assimilated time series of flow per unit of area calculated for each conterminous HUC8 subbasin.…”

Section: Observed Streamflow and Runoffmentioning

confidence: 98%

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

Oubeidillah

Kao

Ashfaq

et al. 2014

Hydrol. Earth Syst. Sci.

102

114

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Abstract. To extend geographical coverage, refine spatial resolution, and improve modeling efficiency, a computationand 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.

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Section: Observed Streamflow and Runoffmentioning

confidence: 98%

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

Oubeidillah

Kao

Ashfaq

et al. 2014

Hydrol. Earth Syst. Sci.

102

114

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“…Therefore, the USGS WaterWatch runoff [5] was used to provide observational runoff measurements. WaterWatch runoff is the assimilated monthly time series of flows per unit of area calculated for each conterminous 8-digit hydrologic unit (HUC8), derived from the comprehensive gauge observation network (thousands of gauges nationwide) that is maintained by the USGS NWIS (national water information system).…”

Section: Data Sourcesmentioning

confidence: 99%

Projecting changes in annual hydropower generation using regional runoff data: An assessment of the United States federal hydropower plants

Kao

Salé²,

Ashfaq

et al. 2015

Energy

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a b s t r a c tFederal hydropower plants account for approximately half of installed US conventional hydropower capacity, and are an important part of the national renewable energy portfolio. Utilizing the strong linear relationship between the US Geological Survey WaterWatch runoff and annual hydropower generation, a runoff-based assessment approach is introduced in this study to project changes in annual and regional hydropower generation in multiple power marketing areas. Future climate scenarios are developed with a series of global and regional climate models, and the model output is bias-corrected to be consistent with observed data for the recent past. Using this approach, the median change in annual generation at federal projects is projected to be -2 TWh, with an estimated ensemble uncertainty of ±9 TWh. Although these estimates are similar to the recently observed variability in annual hydropower generation, and may therefore appear to be manageable, significantly seasonal runoff changes are projected and it may pose significant challenges in water systems with higher limits on reservoir storage and operational flexibility. Future assessments will be improved by incorporating next-generation climate models, by closer examination of extreme events and longer-term change, and by addressing the interactions among hydropower and other water uses.

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“…The load generated within upstream reaches and transported to the reach through the stream network. Digital hydrologic network The MRB_E2RF1 digital hydrologic network and associated attribute data were developed by Brakebill and Terziotti (2011).…”

Section: Strategymentioning

confidence: 99%

Dissolved-solids sources, loads, yields, and concentrations in streams of the conterminous United States

Anning¹,

Flynn²

2014

Scientific Investigations Report

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For more information on the USGS-the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment, visit http://www.usgs.gov or call 1-888-ASK-USGS.For an overview of USGS information products, including maps, imagery, and publications, visit http://www.usgs.gov/pubprodTo order this and other USGS information products, visit http://store.usgs.gov Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.Although this information product, for the most part, is in the public domain, it also may contain copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner.Suggested citation: Anning, D.W, and Flynn, M.E., 2014, Dissolved-solids sources, loads, yields, and concentrations in streams of the conterminous United States: U. S. Geological Survey Scientific Investigations Report 2014-5012, 101 p., http://dx.doi.org/10.3133/sir20145012. ISSN 2328-0328 (online) iii FOREWORDThe U.S. Geological Survey (USGS) is committed to providing the Nation with reliable scientific information that helps to enhance and protect the overall quality of life and that facilitates effective management of water, biological, energy, and mineral resources (http://www.usgs.gov/). Information on the Nation's water resources is critical to ensuring long-term availability of water that is safe for drinking and recreation and is suitable for industry, irrigation, and fish and wildlife. Population growth and increasing demands for water make the availability of that water, measured in terms of quantity and quality, even more essential to the long-term sustainability of our communities and ecosystems.The USGS implemented the National Water-Quality Assessment (NAWQA) Program in 1991 to support national, regional, State, and local information needs and decisions related to water-quality management and policy (http://water.usgs.gov/nawqa). The NAWQA Program is designed to answer: What is the quality of our Nation's streams and groundwater? How are conditions changing over time? How do natural features and human activities affect the quality of streams and groundwater, and where are those effects most pronounced? By combining information on water chemistry, physical characteristics, stream habitat, and aquatic life, the NAWQA Program aims to provide science-based insights for current and emerging water issues and priorities. From 1991 to 2001, the NAWQA Program completed interdisciplinary assessments and established a baseline understanding of water-quality conditions in 51 of the Nation's river basins and aquifers, referred to as Study Units (http://water.usgs.gov/nawqa/studies/ study_units.html ).National and regional assessments are ongoing in the second decade (2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012) of the NAWQA Program as 42 of the 51 Study Units are selectively reassessed. These assessments extend the findings in the Study U...

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Digital Hydrologic Networks Supporting Applications Related to Spatially Referenced Regression Modeling1

Cited by 69 publications

References 46 publications

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

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

Projecting changes in annual hydropower generation using regional runoff data: An assessment of the United States federal hydropower plants

Dissolved-solids sources, loads, yields, and concentrations in streams of the conterminous United States

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