NHDPlusHR: A National Geospatial Framework for Surface‐Water Information

Viger, Roland J.; Rea, Alan; Simley, Jeffrey D.; Hanson, Karen M.

doi:10.1111/1752-1688.12429

Cited by 12 publications

(10 citation statements)

References 6 publications

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“…The coverage of high-resolution data is increasing as well. In the Unites States, for example, future versions of the National Hydrography Data set will incorporate national, high-resolution elevation data (Viger, Rea, Simley, & Hanson, 2016) from the 3D Elevation Program (Sugarbaker et al, 2017). The 3D Elevation Program, a partnership led by the U.S. Geological Survey, is systematically collecting and processing enhanced elevation data for all U.S. states and territories.…”

Section: Discussionmentioning

confidence: 99%

Landscape metrics as predictors of hydrologic connectivity between Coastal Plain forested wetlands and streams

Epting

Hosen

Alexander

et al. 2018

Hydrological Processes

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Geographically isolated wetlands, those entirely surrounded by uplands, provide numerous landscape‐scale ecological functions, many of which are dependent on the degree to which they are hydrologically connected to nearby waters. There is a growing need for field‐validated, landscape‐scale approaches for classifying wetlands on the basis of their expected degree of hydrologic connectivity with stream networks. This study quantified seasonal variability in surface hydrologic connectivity (SHC) patterns between forested Delmarva bay wetland complexes and perennial/intermittent streams at 23 sites over a full‐water year (2014–2015). Field data were used to develop metrics to predict SHC using hypothesized landscape drivers of connectivity duration and timing. Connection duration was most strongly related to the number and area of wetlands within wetland complexes as well as the channel width of the temporary stream connecting the wetland complex to a perennial/intermittent stream. Timing of SHC onset was related to the topographic wetness index and drainage density within the catchment. Stepwise regression modelling found that landscape metrics could be used to predict SHC duration as a function of wetland complex catchment area, wetland area, wetland number, and soil available water storage (adj‐R 2 = 0.74, p < .0001). Results may be applicable to assessments of forested depressional wetlands elsewhere in the U.S. Mid‐Atlantic and Southeastern Coastal Plain, where climate, landscapes, and hydrological inputs and losses are expected to be similar to the study area.

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Section: Discussionmentioning

confidence: 99%

Landscape metrics as predictors of hydrologic connectivity between Coastal Plain forested wetlands and streams

Epting

Hosen

Alexander

et al. 2018

Hydrological Processes

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“…There is thus a need, in national datasets, for better alignment and reconciliation of elevation and hydrography representations of streams. An example of ongoing effort is the NHDPlusHR (Viger et al 2016).…”

Section: Usgs Site Idmentioning

confidence: 99%

River Channel Geometry and Rating Curve Estimation Using Height above the Nearest Drainage

Zheng

Tarboton

Maidment

et al. 2018

J American Water Resour Assoc

129

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River channel geometry is an important input to hydraulic and hydrologic models. Traditional approaches to quantify river geometry have involved surveyed river cross sections, which cannot be extended to ungaged basins. In this paper, we describe a method for developing a synthetic rating curve to relate flow to water level in a stream reach based on reach‐averaged channel geometry properties developed using the Height above Nearest Drainage (HAND) method. HAND uses a digital elevation model (DEM) of the terrain and computes the elevation difference between each land surface cell and the stream bed cell to which it drains. Taking increments in water level in the stream, HAND defines the inundation zone and a water depth grid within this zone, and the channel characteristics are defined from this water depth grid. We apply our method to the Blanco River (Texas) and the Tar River (North Carolina) using 10‐m terrain data from the United States Geological Survey (USGS) 3D Elevation Program (3DEP) dataset. We evaluate the method's performance by comparing the reach‐average stage‐river geometry relationships and rating curves to those from calibrated Hydrologic Engineering Center's River Analysis System (HEC‐RAS) models and USGS gage observations. The results demonstrate that after some adjustment, the river geometry information and rating curves derived from HAND using national‐coverage datasets are comparable to those obtained from hydraulic models or gage measurements. We evaluate the inundation extent and show our approach is able to capture the majority of the Federal Emergency Management Agency (FEMA) 100‐year floodplain.

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“…The National Flood Interoperability Experiment (NFIE), a research collaboration among academia, federal agencies, and private partners, was proposed to translate the unprecedented information on river flow forecasts to inundation maps, which will eventually inform local emergency response planning (Maidment, ). Since the onset of NFIE, continuous efforts have been made in a wide range of aspects, including the development of baseline geospatial hydrologic data for the continental flood forecasting system (Viger et al ., ), the river hydraulics and inundation mapping capability at high resolution (Follum et al ., ), and the development of web platforms for warning delivery to emergency responders and the general public (Swain, ). While these efforts are related mostly to the communication and the translation of hydrologic simulations, their potential strengths and weaknesses in terms of water balances have not been well evaluated.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Evaluation of Simulated Evapotranspiration and Streamflow over Texas Using the WRF‐Hydro‐RAPID Modeling Framework

Lin

Rajib

Yang

et al. 2017

J American Water Resour Assoc

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This study assesses a large-scale hydrologic modeling framework (WRF-Hydro-RAPID) in terms of its high-resolution simulation of evapotranspiration (ET) and streamflow over Texas (drainage area: 464,135 km 2 ). The reference observations used include eight-day ET data from MODIS and FLUXNET, and daily river discharge data from 271 U.S. Geological Survey gauges located across a climate gradient. A recursive digital filter is applied to decompose the river discharge into surface runoff and base flow for comparison with the model counterparts. While the routing component of the model is pre-calibrated, the land component is uncalibrated. Results show the model performance for ET and runoff is aridity-dependent. ET is better predicted in a wet year than in a dry year. Streamflow is better predicted in wet regions with the highest efficiency~0.7. In comparison, streamflow is most poorly predicted in dry regions with a large positive bias. Modeled ET bias is more strongly correlated with the base flow bias than surface runoff bias. These results complement previous evaluations by incorporating more spatial details. They also help identify potential processes for future model improvements. Indeed, improving the dry region streamflow simulation would require synergistic enhancements of ET, soil moisture and groundwater parameterizations in the current model configuration. Our assessments are important preliminary steps towards accurate large-scale hydrologic forecasts.

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NHDPlusHR: A National Geospatial Framework for Surface‐Water Information

Cited by 12 publications

References 6 publications

Landscape metrics as predictors of hydrologic connectivity between Coastal Plain forested wetlands and streams

Landscape metrics as predictors of hydrologic connectivity between Coastal Plain forested wetlands and streams

River Channel Geometry and Rating Curve Estimation Using Height above the Nearest Drainage

Spatiotemporal Evaluation of Simulated Evapotranspiration and Streamflow over Texas Using the WRF‐Hydro‐RAPID Modeling Framework

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