Measurement and computation of streamflow

Rantz, S.E.

doi:10.3133/wsp2175

Cited by 392 publications

(50 citation statements)

References 8 publications

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“…Pan et al 2012and Sheffield et al (2009) assumed that the errors in the measured streamflow are inversely proportional to the area of the basins and range from 5 % to 10 %, whereas Di Baldassarre and Montanari (2009) analysed the overall errors affecting streamflow observations and found that these errors range from 6 % to 42 %. In earlier studies, the errors in streamflow measurement were estimated to range from 10 % to 20 % (Rantz, 1982;Dingman, 1994). In the study of Zhang et al (2018), the error ratios of VIC were set to be 5 %.…”

Section: Discussionmentioning

confidence: 99%

“…A broad array of gridded model-based runoff estimates are freely available, including but not limited to ECMWF's interim reanalysis (ERA-Interim; Dee et al, 2011), NASA's Modern Era Retrospective-analysis for Research and Applications (MERRA) land dataset (Reichle et al, 2011), the Climate Forecast System Reanalysis (CFSR; Tomy and Sumam, 2016), the second Global Soil Wetness Project (GSWP2; Dirmeyer et al, 2006), the Water Model Intercomparison Project (WaterMIP; Haddeland et al, 2011), and the Global Land Data Assimilation System (GLDAS; Rodell et al, 2004). Recently, the eartH2Observe project has made two ensembles (tier 1 and tier 2) of state-of-the-art global hydrological and land surface model outputs available (http: //www.earth2observe.eu/, last access: 25 April 2018; Beck et al, 2017a;Schellekens et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Linear Optimal Runoff Aggregate (LORA): a global gridded synthesis runoff product

Hobeichi

Abramowitz

Evans

et al. 2019

Hydrol. Earth Syst. Sci.

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Abstract. No synthesized global gridded runoff product, derived from multiple sources, is available, despite such a product being useful for meeting the needs of many global water initiatives. We apply an optimal weighting approach to merge runoff estimates from hydrological models constrained with observational streamflow records. The weighting method is based on the ability of the models to match observed streamflow data while accounting for error covariance between the participating products. To address the lack of observed streamflow for many regions, a dissimilarity method was applied to transfer the weights of the participating products to the ungauged basins from the closest gauged basins using dissimilarity between basins in physiographic and climatic characteristics as a proxy for distance. We perform out-of-sample tests to examine the success of the dissimilarity approach, and we confirm that the weighted product performs better than its 11 constituent products in a range of metrics. Our resulting synthesized global gridded runoff product is available at monthly timescales, and includes time-variant uncertainty, for the period 1980–2012 on a 0.5∘ grid. The synthesized global gridded runoff product broadly agrees with published runoff estimates at many river basins, and represents the seasonal runoff cycle for most of the globe well. The new product, called Linear Optimal Runoff Aggregate (LORA), is a valuable synthesis of existing runoff products and will be freely available for download on https://geonetwork.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/f9617_9854_8096_5291 (last access: 31 January 2019).

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Linear Optimal Runoff Aggregate (LORA): a global gridded synthesis runoff product

Hobeichi

Abramowitz

Evans

et al. 2019

Hydrol. Earth Syst. Sci.

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“…Streamflow was measured at the six surface-water sites each time water-quality samples were collected using protocols described in Turnipseed and Sauer (2010). Instantaneous streamflow was determined either by direct measurement or from stage-discharge rating tables (Rantz and others, 1982), and the streamflow was used for describing the hydrologic conditions at the time of the discrete samples. All streamflow measurements and continuously recorded data are stored in the USGS NWIS database (U.S. Geological Survey, 2017).…”

Section: Data Collection and Laboratory Analysis Methodsmentioning

confidence: 99%

Characterization of surface-water and groundwater quality on the Fort Berthold Reservation, North Dakota, 2014–17

Lundgren¹,

Iorio²

2020

Scientific Investigations Report

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The Fort Berthold Reservation is in west-central North Dakota and home to the Three Affiliated Tribes. The primary water-resources concerns on the Fort Berthold Reservation are associated with the different types of land uses from agricultural activities and the rapid development of oil and gas resources in western North Dakota. The Three Affiliated Tribes Environmental Department identified the need for long-term water-quality monitoring throughout the Fort Berthold Reservation to better understand the potential effects on surface-water and groundwater quality and to determine if water quality is changing with time. The U.S. Geological Survey, in cooperation with the Three Affiliated Tribes, identified surface-water sites and groundwater wells that represent the water resources in major drainages and the most utilized aquifers on the reservation. A water-quality monitoring program was designed to address data gaps and provide consistent long-term data that can be used to identify potential effects on water quality. During 2014-17, the initial water-quality sampling efforts associated with this program were completed. The efforts provide a current (2019) characterization of water-quality conditions in surface water and groundwater and can assist in establishing a long-term water-quality monitoring program.

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“…We stored the hourly images in a relational database to facilitate categorizing images into an average daily category. This concept is similar to calculating an average daily discharge from several daily discharge measurements at a continuous stream discharge monitoring station (Rantz, 1982). Categories 1-3 were considered disconnected flow and Categories 4-6 were considered connected flow for metric development.…”

Section: Overview Of Methodologymentioning

confidence: 99%

A novel method to evaluate stream connectivity using trail cameras

Bellucci

Becker

Czarnowski

et al. 2020

River Research & Apps

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Stream connectivity is important for the ecological health of the stream and downstream waters. In this study, we use the term stream connectivity to mean hydrologically connected pools and riffles that link stream habitat along a longitudinal continuum (upstream to downstream), while also recognizing the lateral dimension (connection to flood plain) and vertical connection to groundwater. There are thousands of man-made structures (i.e. dams, culverts, surface and groundwater withdrawal locations) in Connecticut which negatively impact stream connectivity and can result in aquatic habitat fragmentation. Cost-effective techniques are needed to assess human alteration to streams in order to prioritize management actions to restore stream connectivity. We developed a method to characterize stream connectivity using commercially available trail cameras that cost less than approximately $500 per deployment. We developed a six-category system to describe the variations in stream connectivity observed using the trail camera images. We then used the categorical data to calculate metrics that quantify stream connectivity. To pilot this approach, we evaluated reference locations with minimal anthropogenic influence on stream connectivity in comparison with stream reaches likely to be impacted by nearby groundwater wells. We found that metrics derived from trail camera images were useful to quantify stream connectivity. We anticipate that the methods outlined herein is a useful stream connectivity assessment tool that can be effectively communicated to scientists and non-scientists. All source

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Measurement and computation of streamflow

Abstract: Estimation of daily discharge for periods of no gage-height record ____ Case A. No gage-height record during a low-or medium-flow recession on an

Cited by 392 publications

References 8 publications

Linear Optimal Runoff Aggregate (LORA): a global gridded synthesis runoff product

Linear Optimal Runoff Aggregate (LORA): a global gridded synthesis runoff product

Characterization of surface-water and groundwater quality on the Fort Berthold Reservation, North Dakota, 2014–17

A novel method to evaluate stream connectivity using trail cameras

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