Performance-weighted methods for estimating monthly streamflow at ungauged sites

Farmer, William; Vogel, Richard M.

doi:10.1016/j.jhydrol.2012.11.032

Cited by 47 publications

(58 citation statements)

References 28 publications

(46 reference statements)

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“…The means and standard deviations must be calculated using untransformed and natural, logarithmically transformed streamflow data. For these applications, monthly and annual moments of untransformed and natural, logarithmically transformed streamflows were estimated for the ungaged validation sites via regional regression techniques documented and developed by Farmer and Vogel (2013). Depending on the implementations of the PUB methods, a different number of regressions were required.…”

Section: Methods To Estimate Streamflow Moments At Ungaged Sitesmentioning

confidence: 99%

“…Monthly and annual means and standard deviations were estimated using a regression technique similar to the automated approach proposed by Farmer and Vogel (2013). A set of regional regressions for the prediction of these means was developed using only the calibration network and associated basin characteristics.…”

Section: Methods To Estimate Streamflow Moments At Ungaged Sitesmentioning

confidence: 99%

“…A set of regional regressions for the prediction of these means was developed using only the calibration network and associated basin characteristics. A large set of basin characteristics was passed through a set of filters, described in some detail in appendix A of Farmer and Vogel (2013). In general terms, this process consisted of passing the calibration set of explanatory variables through a stepwise regression to identify the most significant variables.…”

Section: Methods To Estimate Streamflow Moments At Ungaged Sitesmentioning

confidence: 99%

“…This technique was used to estimate both annual and monthly moments. In the monthly case, these regressions were recursive, with a single lagged variable, allowing the mean from one month to be used as an explanatory variable in the subsequent month and tying the 12 monthly equations into a simultaneous solution of parameters-an adjustment on the iterative solutions of Farmer and Vogel (2013).…”

Section: Methods To Estimate Streamflow Moments At Ungaged Sitesmentioning

confidence: 99%

“…This method can be applied with either an annual mean (SM1) or a set of 12 monthly means (SM12). Farmer and Vogel (2013) found that standardizing streamflows by monthly means produced accurate predictions of monthly flows. Especially when applied with monthly means, this method corrects for some of the seasonality observed in the application of the more-traditional drainage-area ratio.…”

Section: Standardization With Meanmentioning

confidence: 97%

See 4 more Smart Citations

A comparison of methods to predict historical daily streamflow time series in the southeastern United States

Farmer¹,

Archfield²,

Over³

et al. 2015

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: Farmer, W.H., Archfield, S.A., Over, T.M., Hay, L.E., LaFontaine, J.H., and Kiang, J.E., 2014, A comparison of methods to predict historical daily streamflow time series in the southeastern United States: U.S. Geological Survey Scientific Investigations Report 2014-5231, 34 p., http://dx.doi.org/10.3133/sir2014-5231. ISSN 2328-0328 (online) Tables [Tables 1-7 Elevation, as used in this report, refers to distance above the vertical datum. AbstractEffective and responsible management of water resources relies on a thorough understanding of the quantity and quality of available water. Streamgages cannot be installed at every location where streamflow information is needed. As part of its National Water Census, the U.S. Geological Survey is planning to provide streamflow predictions for ungaged locations. In order to predict streamflow at a useful spatial and temporal resolution throughout the Nation, efficient methods need to be selected. This report examines several methods used for streamflow prediction in ungaged basins to determine the best methods for regional and national implementation. A pilot area in the southeastern United States was selected to apply 19 different streamflow prediction methods and evaluate each method by a wide set of performance metrics. Through these comparisons, two methods emerged as the most generally accurate streamflow prediction methods: the nearest-neighbor implementations of nonlinear spatial interpolation using flow duration curves (NN-QPPQ) and standardizing logarithms of streamflow by monthly means and standard deviations (NN-SMS12L). It was nearly impossible to distinguish between these two methods in terms of performance. Furthermore, neither of these methods requires significantly more parameterization in order to be applied: NN-SMS12L requires 24 regional regressions-12 for monthly means and 12 for monthly standard deviations. NN-QPPQ, in the application described in this study, required 27 regressions of particular quantiles along the flow duration curve. Despite this finding, the results suggest that an optimal streamflow prediction method depends on the intended application. Some methods are stronger overall, while some methods may be better at predicting particular statistics. The methods of ana...

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Section: Methods To Estimate Streamflow Moments At Ungaged Sitesmentioning

confidence: 99%

Section: Methods To Estimate Streamflow Moments At Ungaged Sitesmentioning

confidence: 99%

Section: Methods To Estimate Streamflow Moments At Ungaged Sitesmentioning

confidence: 99%

Section: Methods To Estimate Streamflow Moments At Ungaged Sitesmentioning

confidence: 99%

Section: Standardization With Meanmentioning

confidence: 97%

See 3 more Smart Citations

A comparison of methods to predict historical daily streamflow time series in the southeastern United States

Farmer¹,

Archfield²,

Over³

et al. 2015

Scientific Investigations Report

Self Cite

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Blending neighbor-based and climate-based information to obtain robust low-flow estimates from short time series

Nicolle

Andréassian

Sauquet³

2013

Water Resour. Res.

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.[1] This paper combines two approaches aimed at obtaining robust estimates of low-flow characteristics from short records and presents results for a low-flow index, the minimum monthly discharge with a 5 year return period (noted Q MNA5 ). The two adjustment methods are first compared on a large set of catchments in France. The first method bases its adjustment on long-term climatic information and its sensitivity to the length of the short series is explored. The second method bases its adjustment on long-term streamflow information from a neighboring index catchment; its sensitivity to the proximity of the index catchment is analyzed. Finally, the climate-based and neighbor-based methods are combined, which confers specific robustness to the resulting flow adjustment approach.Citation: Nicolle, P., V. Andr eassian, and E. Sauquet (2013), Blending neighbor-based and climate-based information to obtain robust low-flow estimates from short time series, Water Resour. Res., 49,[8017][8018][8019][8020][8021][8022][8023][8024][8025]

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Climate change impacts and greenhouse gas mitigation effects on U.S. water quality

Boehlert

Strzepek

Chapra

et al. 2015

J Adv Model Earth Syst

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Climate change will have potentially significant effects on freshwater quality due to increases in river and lake temperatures, changes in the magnitude and seasonality of river runoff, and more frequent and severe extreme events. These physical impacts will in turn have economic consequences through effects on riparian development, river and reservoir recreation, water treatment, harmful aquatic blooms, and a range of other sectors. In this paper, we analyze the physical and economic effects of changes in freshwater quality across the contiguous U.S. in futures with and without global-scale greenhouse gas mitigation. Using a water allocation and quality model of 2119 river basins, we estimate the impacts of various projected emissions outcomes on several key water quality indicators, and monetize these impacts with a water quality index approach. Under mitigation, we find that water temperatures decrease considerably and that dissolved oxygen levels rise in response. We find that the annual economic impacts on water quality of a high emissions scenario rise from $1.4 billion in 2050 to $4 billion in 2100, leading to present value mitigation benefits, discounted at 3%, of approximately $17.5 billion over the 2015-2100 period.

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Performance-weighted methods for estimating monthly streamflow at ungauged sites

Cited by 47 publications

References 28 publications

A comparison of methods to predict historical daily streamflow time series in the southeastern United States

A comparison of methods to predict historical daily streamflow time series in the southeastern United States

Blending neighbor-based and climate-based information to obtain robust low-flow estimates from short time series

Climate change impacts and greenhouse gas mitigation effects on U.S. water quality

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