Articles | Volume 21, issue 6
Cutting-edge case studies 28 Jun 2017
Cutting-edge case studies | 28 Jun 2017
On the probability distribution of daily streamflow in the United States
Annalise G. Blum et al.
No articles found.
A. Sankarasubramanian, Dingbao Wang, Stacey Archfield, Meredith Reitz, Richard M. Vogel, Amirhossein Mazrooei, and Sudarshana Mukhopadhyay
Hydrol. Earth Syst. Sci., 24, 1975–1984,Short summary
The Budyko framework which relies on the supply and demand concept could be effectively adapted and extended to quantify the role of drivers – both changing climate and local human disturbances – in altering the land-surface response. This framework is extended with a few illustrative examples for quantifying the variability in land-surface fluxes for natural and human-altered watersheds. Potential for using observed and remotely sensed datasets in capturing this variability is also discussed.
Lei Ye, Lars S. Hanson, Pengqi Ding, Dingbao Wang, and Richard M. Vogel
Hydrol. Earth Syst. Sci., 22, 6519–6531,
Laura K. Read and Richard M. Vogel
Nat. Hazards Earth Syst. Sci., 16, 915–925,Short summary
The research presented in this manuscript introduces the theory and methods from the hazard function analysis literature to address the probabilistic analysis of natural hazards whose magnitudes show evidence of increasing over time. To the authors' knowledge, this is the first research article to apply the extremely well-developed field of hazard function theory to the problem of nonstationary natural hazards.
P. K. Weiskel, D. M. Wolock, P. J. Zarriello, R. M. Vogel, S. B. Levin, and R. M. Lent
Hydrol. Earth Syst. Sci., 18, 3855–3872,
R. M. Vogel, A. Rosner, and P. H. Kirshen
Nat. Hazards Earth Syst. Sci., 13, 1773–1778,
S. A. Archfield, A. Pugliese, A. Castellarin, J. O. Skøien, and J. E. Kiang
Hydrol. Earth Syst. Sci., 17, 1575–1588,
S. A. Archfield, P. A. Steeves, J. D. Guthrie, and K. G. Ries III
Geosci. Model Dev., 6, 101–115,
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Stochastic approachesTechnical Note: Improved partial wavelet coherency for understanding scale-specific and localized bivariate relationships in geosciencesEffects of climate anomalies on warm-season low flows in SwitzerlandHistogram via entropy reduction (HER): an information-theoretic alternative for geostatisticsEstimation of annual runoff by exploiting long-term spatial patterns and short records within a geostatistical frameworkA methodology to estimate flow duration curves at partially ungauged basinsThe role of flood wave superposition in the severity of large floodsContribution of low-frequency climatic–oceanic oscillations to streamflow variability in small, coastal rivers of the Sierra Nevada de Santa Marta (Colombia)Stochastic reconstruction of spatio-temporal rainfall patterns by inverse hydrologic modellingAn assessment of trends and potential future changes in groundwater-baseflow drought based on catchment response timesMore frequent flooding? Changes in flood frequency in the Pearl River basin, China, since 1951 and over the past 1000 yearsTopography significantly influencing low flows in snow-dominated watershedsA discrete wavelet spectrum approach for identifying non-monotonic trends in hydroclimate dataEvaluating climate change impacts on streamflow variability based on a multisite multivariate GCM downscaling method in the Jing River of ChinaEstimating unconsolidated sediment cover thickness by using the horizontal distance to a bedrock outcrop as secondary informationThe European 2015 drought from a hydrological perspectiveHeterogeneity measures in hydrological frequency analysis: review and new developmentsENSO-conditioned weather resampling method for seasonal ensemble streamflow predictionOrdinary kriging as a tool to estimate historical daily streamflow recordsTrends in floods in West Africa: analysis based on 11 catchments in the regionImplementation and validation of a Wilks-type multi-site daily precipitation generator over a typical Alpine river catchmentSpatial controls on groundwater response dynamics in a snowmelt-dominated montane catchmentIs bias correction of regional climate model (RCM) simulations possible for non-stationary conditions?Data compression to define information content of hydrological time seriesTopological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach?Regionalised spatiotemporal rainfall and temperature models for flood studies in the Basque Country, SpainExploring the physical controls of regional patterns of flow duration curves – Part 1: Insights from statistical analysesLand cover and water yield: inference problems when comparing catchments with mixed land coverAn elusive search for regional flood frequency estimates in the River Nile basinInterannual hydroclimatic variability and its influence on winter nutrient loadings over the Southeast United StatesVariational assimilation of streamflow into operational distributed hydrologic models: effect of spatiotemporal scale of adjustmentContrasting trends in floods for two sub-arctic catchments in northern Sweden – does glacier presence matter?Long-range forecasting of intermittent streamflowApplying sequential Monte Carlo methods into a distributed hydrologic model: lagged particle filtering approach with regularizationLow-frequency variability of European runoffComparison of catchment grouping methods for flow duration curve estimation at ungauged sites in FranceRegional flow duration curves for ungauged sites in SicilyOn accuracy of upper quantiles estimationA consistent set of trans-basin floods in Germany between 1952–2002Factors influencing chloride deposition in a coastal hilly area and application to chloride deposition mappingEffects of intersite dependence of nested catchment structures on probabilistic regional envelope curves
Wei Hu and Bing Si
Hydrol. Earth Syst. Sci., 25, 321–331,Short summary
Partial wavelet coherency method is improved to explore the bivariate relationships at different scales and locations after excluding the effects of other variables. The method was tested with artificial datasets and applied to a measured dataset. Compared with others, this method has the advantages of capturing phase information, dealing with multiple excluding variables, and producing more accurate results. This method can be used in different areas with spatial or temporal datasets.
Marius G. Floriancic, Wouter R. Berghuijs, Tobias Jonas, James W. Kirchner, and Peter Molnar
Hydrol. Earth Syst. Sci., 24, 5423–5438,Short summary
Low river flows affect societies and ecosystems. Here we study how precipitation and potential evapotranspiration shape low flows across a network of 380 Swiss catchments. Low flows in these rivers typically result from below-average precipitation and above-average potential evapotranspiration. Extreme low flows result from long periods of the combined effects of both drivers.
Stephanie Thiesen, Diego M. Vieira, Mirko Mälicke, Ralf Loritz, J. Florian Wellmann, and Uwe Ehret
Hydrol. Earth Syst. Sci., 24, 4523–4540,Short summary
A spatial interpolator has been proposed for exploring the information content of the data in the light of geostatistics and information theory. It showed comparable results to traditional interpolators, with the advantage of presenting generalization properties. We discussed three different ways of combining distributions and their implications for the probabilistic results. By its construction, the method provides a suitable and flexible framework for uncertainty analysis and decision-making.
Thea Roksvåg, Ingelin Steinsland, and Kolbjørn Engeland
Hydrol. Earth Syst. Sci., 24, 4109–4133,Short summary
Annual runoff is a measure of how much water flows through a river during a year and is an important quantity, e.g. when planning infrastructure. In this paper, we suggest a new statistical model for annual runoff estimation. The model exploits correlation between rivers and is able to detect whether the annual runoff in the target river follows repeated patterns over time relative to neighbouring rivers. In our work we show for what cases the latter represents a benefit over comparable methods.
Elena Ridolfi, Hemendra Kumar, and András Bárdossy
Hydrol. Earth Syst. Sci., 24, 2043–2060,Short summary
The paper presents a new, simple and model-free methodology to estimate the streamflow at partially gauged basins, given the precipitation gauged at another basin. We show that the FDC is not a characteristic of the basin only, but of both the basin and the weather. Because of the dependence on the climate, discharge data at the target site are here retrieved using the Antecedent Precipitation Index (API) of the donor site as it represents in a streamflow-like way the precipitation of the basin.
Björn Guse, Bruno Merz, Luzie Wietzke, Sophie Ullrich, Alberto Viglione, and Sergiy Vorogushyn
Hydrol. Earth Syst. Sci., 24, 1633–1648,Short summary
Floods are influenced by river network processes, among others. Flood characteristics of tributaries may affect flood severity downstream of confluences. The impact of flood wave superposition is investigated with regard to magnitude and temporal matching of flood peaks. Our study in Germany and Austria shows that flood wave superposition is not the major driver of flood severity. However, there is the potential for large floods at some confluences in cases of temporal matching of flood peaks.
Juan Camilo Restrepo, Aldemar Higgins, Jaime Escobar, Silvio Ospino, and Natalia Hoyos
Hydrol. Earth Syst. Sci., 23, 2379–2400,Short summary
This study evaluated the influence of low-frequency oscillations that are linked to large-scale oceanographic–atmospheric processes, on streamflow variability in small mountain rivers of the Sierra Nevada de Santa Marta, Colombia, aiming to explore streamflow variability, estimate the net contribution to the energy of low-frequency oscillations to streamflow anomalies, and analyze the linkages between streamflow anomalies and large-scale, low-frequency oceanographic–atmospheric processes.
Jens Grundmann, Sebastian Hörning, and András Bárdossy
Hydrol. Earth Syst. Sci., 23, 225–237,
Jost Hellwig and Kerstin Stahl
Hydrol. Earth Syst. Sci., 22, 6209–6224,Short summary
Due to the lack of long-term observations, insights into changes of groundwater resources are obscured. In this paper we assess past and potential future changes in groundwater drought in headwater catchments using a baseflow approach. There are a few past trends which are highly dependent on the period of analysis. Catchments with short response times are found to have a higher sensitivity to projected seasonal precipitation shifts, urging for a local management based on response times.
Qiang Zhang, Xihui Gu, Vijay P. Singh, Peijun Shi, and Peng Sun
Hydrol. Earth Syst. Sci., 22, 2637–2653,
Qiang Li, Xiaohua Wei, Xin Yang, Krysta Giles-Hansen, Mingfang Zhang, and Wenfei Liu
Hydrol. Earth Syst. Sci., 22, 1947–1956,Short summary
Topography plays an important role in determining the spatial heterogeneity of ecological, geomorphological, and hydrological processes. Topography plays a more dominant role in low flows than high flows. Our analysis also identified five significant TIs: perimeter, slope length factor, surface area, openness, and terrain characterization index. These can be used to compare watersheds when low flow assessments are conducted, specifically in snow-dominated regions.
Yan-Fang Sang, Fubao Sun, Vijay P. Singh, Ping Xie, and Jian Sun
Hydrol. Earth Syst. Sci., 22, 757–766,
Zhi Li and Jiming Jin
Hydrol. Earth Syst. Sci., 21, 5531–5546,Short summary
We developed an efficient multisite and multivariate GCM downscaling method and generated climate change scenarios for SWAT to evaluate the streamflow variability within a watershed in China. The application of the ensemble techniques enables us to better quantify the model uncertainties. The peak values of precipitation and streamflow have a tendency to shift from the summer to spring season over the next 30 years. The number of extreme flooding and drought events will increase.
Hydrol. Earth Syst. Sci., 21, 4195–4211,Short summary
The GRANADA open-access database (NGU, 2016a) was used to derive point recordings of thickness of sediment above the bedrock D(u). For each D(u) the horizontal distance to nearest outcrop L(u) was derived from geological maps. The purpose was to utilize L(u) as a secondary function for estimation of D(u). Two estimation methods were employed: ordinary kriging (OK) and co-kriging (CK). A cross-validation analysis was performed to evaluate the additional information in the secondary function L(u).
Gregor Laaha, Tobias Gauster, Lena M. Tallaksen, Jean-Philippe Vidal, Kerstin Stahl, Christel Prudhomme, Benedikt Heudorfer, Radek Vlnas, Monica Ionita, Henny A. J. Van Lanen, Mary-Jeanne Adler, Laurie Caillouet, Claire Delus, Miriam Fendekova, Sebastien Gailliez, Jamie Hannaford, Daniel Kingston, Anne F. Van Loon, Luis Mediero, Marzena Osuch, Renata Romanowicz, Eric Sauquet, James H. Stagge, and Wai K. Wong
Hydrol. Earth Syst. Sci., 21, 3001–3024,Short summary
In 2015 large parts of Europe were affected by a drought. In terms of low flow magnitude, a region around the Czech Republic was most affected, with return periods > 100 yr. In terms of deficit volumes, the drought was particularly severe around S. Germany where the event lasted notably long. Meteorological and hydrological events developed differently in space and time. For an assessment of drought impacts on water resources, hydrological data are required in addition to meteorological indices.
Ana I. Requena, Fateh Chebana, and Taha B. M. J. Ouarda
Hydrol. Earth Syst. Sci., 21, 1651–1668,Short summary
The notion of a measure to quantify the degree of heterogeneity of a region from which information is required to estimate the magnitude of events at ungauged sites is introduced. These heterogeneity measures are needed to compare regions, evaluate the impact of particular sites, and rank the performance of delineating methods. A framework to define and assess their desirable properties is proposed. Several heterogeneity measures are presented and/or developed to be assessed, giving guidelines.
Joost V. L. Beckers, Albrecht H. Weerts, Erik Tijdeman, and Edwin Welles
Hydrol. Earth Syst. Sci., 20, 3277–3287,Short summary
Oceanic–atmospheric climate modes, such as El Niño–Southern Oscillation (ENSO), are known to affect the streamflow regime in many rivers around the world. A new method is presented for ENSO conditioning of the ensemble streamflow prediction (ESP) method, which is often used for seasonal streamflow forecasting. The method was tested on three tributaries of the Columbia River, OR. Results show an improvement in forecast skill compared to the standard ESP.
William H. Farmer
Hydrol. Earth Syst. Sci., 20, 2721–2735,Short summary
The potential of geostatistical tools, leveraging the spatial structure and dependency of correlated time series, for the prediction of daily streamflow time series at unmonitored locations is explored. Simple geostatistical tools improve on traditional estimates of daily streamflow. The temporal evolution of spatial structure, including seasonal fluctuations, is also explored. The proposed method is contrasted with more advanced geostatistical methods and shown to be comparable.
B. N. Nka, L. Oudin, H. Karambiri, J. E. Paturel, and P. Ribstein
Hydrol. Earth Syst. Sci., 19, 4707–4719,Short summary
The region of West Africa is undergoing important climate and environmental changes affecting the magnitude and occurrence of floods. This study aims to analyze the evolution of flood hazard in the region and to find links between flood hazards pattern and rainfall or vegetation index patterns.
D. E. Keller, A. M. Fischer, C. Frei, M. A. Liniger, C. Appenzeller, and R. Knutti
Hydrol. Earth Syst. Sci., 19, 2163–2177,
R. S. Smith, R. D. Moore, M. Weiler, and G. Jost
Hydrol. Earth Syst. Sci., 18, 1835–1856,
C. Teutschbein and J. Seibert
Hydrol. Earth Syst. Sci., 17, 5061–5077,
S. V. Weijs, N. van de Giesen, and M. B. Parlange
Hydrol. Earth Syst. Sci., 17, 3171–3187,
S. A. Archfield, A. Pugliese, A. Castellarin, J. O. Skøien, and J. E. Kiang
Hydrol. Earth Syst. Sci., 17, 1575–1588,
P. Cowpertwait, D. Ocio, G. Collazos, O. de Cos, and C. Stocker
Hydrol. Earth Syst. Sci., 17, 479–494,
L. Cheng, M. Yaeger, A. Viglione, E. Coopersmith, S. Ye, and M. Sivapalan
Hydrol. Earth Syst. Sci., 16, 4435–4446,
A. I. J. M. van Dijk, J. L. Peña-Arancibia, and L. A. (Sampurno) Bruijnzeel
Hydrol. Earth Syst. Sci., 16, 3461–3473,
P. Nyeko-Ogiramoi, P. Willems, F. M. Mutua, and S. A. Moges
Hydrol. Earth Syst. Sci., 16, 3149–3163,
J. Oh and A. Sankarasubramanian
Hydrol. Earth Syst. Sci., 16, 2285–2298,
H. Lee, D.-J. Seo, Y. Liu, V. Koren, P. McKee, and R. Corby
Hydrol. Earth Syst. Sci., 16, 2233–2251,
H. E. Dahlke, S. W. Lyon, J. R. Stedinger, G. Rosqvist, and P. Jansson
Hydrol. Earth Syst. Sci., 16, 2123–2141,
F. F. van Ogtrop, R. W. Vervoort, G. Z. Heller, D. M. Stasinopoulos, and R. A. Rigby
Hydrol. Earth Syst. Sci., 15, 3343–3354,
S. J. Noh, Y. Tachikawa, M. Shiiba, and S. Kim
Hydrol. Earth Syst. Sci., 15, 3237–3251,
L. Gudmundsson, L. M. Tallaksen, K. Stahl, and A. K. Fleig
Hydrol. Earth Syst. Sci., 15, 2853–2869,
E. Sauquet and C. Catalogne
Hydrol. Earth Syst. Sci., 15, 2421–2435,
F. Viola, L. V. Noto, M. Cannarozzo, and G. La Loggia
Hydrol. Earth Syst. Sci., 15, 323–331,
I. Markiewicz, W. G. Strupczewski, and K. Kochanek
Hydrol. Earth Syst. Sci., 14, 2167–2175,
S. Uhlemann, A. H. Thieken, and B. Merz
Hydrol. Earth Syst. Sci., 14, 1277–1295,
H. Guan, A. J. Love, C. T. Simmons, O. Makhnin, and A. S. Kayaalp
Hydrol. Earth Syst. Sci., 14, 801–813,
B. Guse, A. Castellarin, A. H. Thieken, and B. Merz
Hydrol. Earth Syst. Sci., 13, 1699–1712,
Archfield, S. A.: Estimation of continuous daily streamflow at ungaged locations in southern New England, PhD dissertation, Tufts University, 2009.
Archfield, S. A. and Vogel, R. M.: Map correlation method: Selection of a reference streamgage to estimate daily streamflow at ungaged catchments, Water Resour. Res., 46, 1–15, https://doi.org/10.1029/2009WR008481, 2010.
Basso, S., Schirmer, M., and Botter, G.: On the emergence of heavy-tailed streamflow distributions, Adv. Water Resour., 82, 98–105, https://doi.org/10.1016/j.advwatres.2015.04.013, 2015.
Botter, G., Zanardo, S., Porporato, A., Rodriguez-Iturbe, I., and Rinaldo, A.: Ecohydrological model of flow duration curves and annual minima, Water Resour. Res., 44, 1–12, https://doi.org/10.1029/2008WR006814, 2008.
Bowers, M. C., Tung, W. W., and Gao, J. B.: On the distributions of seasonal river flows: Lognormal or power law? Water Resour. Res., 48, 1–12, https://doi.org/10.1029/2011WR011308, 2012.
Castellarin, A., Vogel, R. M., and Brath, A.: A stochastic index flow model of flow duration curves, Water Resour. Res., 40, 1–10, https://doi.org/10.1029/2003WR002524, 2004.
Castellarin, A., Camorani, G., and Brath, A.: Predicting annual and long-term flow-duration curves in ungauged basins, Adv. Water Resour., 30, 937–953, https://doi.org/10.1016/j.advwatres.2006.08.006, 2007.
Castellarin, A., Botter, G., Hughes, D. A., Liu, S., Ouarda, T. B. M. J., Parajka, J., Post, D. A., Sivapalan, M., Spence, C., Viglione, A., and Vogel, R. M.: Prediction of flow duration curves in ungauged basins, in: Runoff prediction in ungauged basins: synthesis across processes, places and scales, edited by: Blöschl, G., Sivapalan, M., and Wagener, T., 135–162, Cambridge University Press, 2013.
Croker, K. M., Young, A. R., Zaidman, M. D., and Rees, H. G.: Flow duration curve estimation in ephemeral catchments in Portugal, Hydrol. Sci. J., 48, 427–439, https://doi.org/10.1623/hysj.48.3.427.45287, 2003.
Doulatyari, B., Betterle, A., Basso, S., Biswal, B., Schirmer, M., and Botter, G.: Predicting streamflow distributions and flow duration curves from landscape and climate, Adv. Water Resour., 83, 285–298, https://doi.org/10.1016/j.advwatres.2015.06.013, 2015.
Fenneman, N. M. and Johnson, D. W.: Physical divisions of the United States, U.S. Geological Survey, 1:7,000,000, available at: https://water.usgs.gov/GIS/metadata/usgswrd/XML/physio.xml (last access: 30 Dec 2016), 1946.
Fennessey, N. M.: A hydro-climatological model of daily streamflow for the northeast United States, PhD dissertation, Tufts University, 1994.
Fennessey, N. M. and Vogel, R. M.: Regional Flow-Duration Curves for Ungaged Sites in Massachusetts, J. Water Res. Pl.-ASCE, 116, 1–20, 1990.
Gao, Y., Vogel, R. M., Kroll, C. N., Poff, N. L., and Olden, J. D.: Development of representative indicators of hydrologic alteration, J. Hydrol., 374, 136–147, https://doi.org/10.1016/j.jhydrol.2009.06.009, 2009.
Hamel, P., Daly, E., and Fletcher, T. D.: Which baseflow metrics should be used in assessing flow regimes of urban streams?, Hydrol. Process, 29, 4367–4378, https://doi.org/10.1002/hyp.10475, 2015.
Hosking, J. R. M.: L-moments: Analysis and Estimation of Distributions using Linear Combinations of Order Statistics, J. R. Stat. Soc., 52, 105–124, 1990.
Hosking, J. R. M.: The four-parameter kappa distribution, IBM J. Res. Dev., 38, 1–8, 1994.
Hosking, J. R. M. and Wallis, J. R.: Regional frequency analysis: an approach based on L-moments, Cambridge University Press, 1997.
Hrachowitz, M., Soulsby, C., Tetzlaff, D., Dawson, J. J. C., Dunn, S. M., and Malcolm, I. A.: Using long-term data sets to understand transit times in contrasting headwater catchments, J. Hydrol., 367, 237–248, https://doi.org/10.1016/j.jhydrol.2009.01.001, 2009.
Hrachowitz, M., Savenije, H. H. G., Blöschl, G., McDonnell, J. J., Sivapalan, M., Pomeroy, J. W., Arheimer, B., Blume, T., Clark, M. P., Ehret, U., and Fenicia, F.: A decade of Predictions in Ungauged Basins (PUB) – a review, Hydrol. Sci. J., 58, 1198–1255, https://doi.org/10.1080/02626667.2013.803183, 2013.
Kinoshita, A. M. and Hogue, T. S.: Increased dry season water yield in burned watersheds in Southern California, Environ. Res. Lett., 10, 1–9, https://doi.org/10.1088/1748-9326/10/1/014003, 2014.
Klemeš, V.: Tall tales about tails of hydrological distributions. I, J. Hydrol. Eng., 5, 227–231, https://doi.org/10.1061/(ASCE)1084-0699(2000)5:3(227), 2000.
Kroll, C. N., Croteau, K. E., and Vogel, R. M.: Hypothesis tests for hydrologic alteration, J. Hydrol., 530, 117–126, https://doi.org/10.1016/j.jhydrol.2015.09.057, 2015.
Lang, M., Love, M., and Trush, W.: Improving stream crossings for fish passage, National Marine Fisheries Report, 2004.
LeBoutillier, D. W. and Waylen, P. R.: A Stochastic Model of Flow Duration Curves, Water Resour. Res., 29, 3535–3541, https://doi.org/10.1029/93WR01409, 1993.
Li, M., Shao, Q., Zhang, L., and Chiew, F. H.: A new regionalization approach and its application to predict flow duration curve in ungauged basins, J. Hydrol., 389, 137–145, https://doi.org/10.1016/j.jhydrol.2010.05.039, 2010.
Lin, K., Lian, Y., Chen, X., and Lu, F.: Changes in runoff and eco-flow in the Dongjiang River of the Pearl River Basin, China, Front. Earth Sci., 8, 547–557, https://doi.org/10.1007/s11707-014-0434-y, 2014.
Martinez, G. F. and Gupta, H. V.: Toward improved identification of hydrological models: A diagnostic evaluation of the “abcd” monthly water balance model for the conterminous United States, Water Resour. Res., 46, 8, https://doi.org/10.1029/2009WR008294, 2010.
Mendicino, G. and Senatore, A.: Evaluation of parametric and statistical approaches for the regionalization of flow duration curves in intermittent regimes, J. Hydrol., 480, 19–32, https://doi.org/10.1016/j.jhydrol.2012.12.017, 2013.
Mohor, G. S., Rodriguez, D. A., Tomasella, J., and Júnior, J. L. S.: Exploratory analyses for the assessment of climate change impacts on the energy production in an Amazon run-of-river hydropower plant, J. Hydrol.: Regional Studies, 4, 41–59, https://doi.org/10.1016/j.ejrh.2015.04.003, 2015.
Müller, M. F. and Thompson, S. E.: Comparing statistical and process-based flow duration curve models in ungauged basins and changing rain regimes, Hydrol. Earth Syst. Sci., 20, 669–683, https://doi.org/10.5194/hess-20-669-2016, 2016.
Müller, M. F., Dralle, D. N., and Thompson, S. E.: Analytical model for flow duration curves in seasonally dry climates, Water Resour. Res., 50, 5510–5531, https://doi.org/10.1002/2014WR015301, 2014.
Papalexiou, S. M. and Koutsoyiannis, D.: A global survey on the seasonal variation of the marginal distribution of daily precipitation, Adv. Water Resour., 94, 131–145, 2016.
Patil, S. and Stieglitz, M.: Hydrologic similarity among catchments under variable flow conditions, Hydrol. Earth Syst. Sci., 15, 989–997, https://doi.org/10.5194/hess-15-989-2011, 2011.
Pumo, D., Viola, F., La Loggia, G., and Noto, L. V.: Annual flow duration curves assessment in ephemeral small basins, J. Hydrol., 519, 258–270, https://doi.org/10.1016/j.jhydrol.2014.07.024, 2014.
Rianna, M., Russo, F., and Napolitano, F.: Stochastic index model for intermittent regimes: from preliminary analysis to regionalisation, Nat. Hazards Earth Syst. Sci., 11, 1189–1203, https://doi.org/10.5194/nhess-11-1189-2011, 2011.
Schaefli, B., Rinaldo, A., and Botter, G.: Analytic probability distributions for snow- dominated streamflow, Water Resour. Res., 49, 2701–2713, https://doi.org/10.1002/wrcr.20234, 2013.
Segura, C., Lazzati, D., and Sankarasubramanian, A.: The use of broken power-laws to describe the distributions of daily flow above the mean annual flow across the conterminous U.S, J. Hydrol., 505, 35–46, https://doi.org/10.1016/j.jhydrol.2013.09.016, 2013.
Sivapalan, M., Takeuchi, K., Franks, S. W., Gupta, V. K., Karambiri, H., Lakshmi, V., Liang, X., McDonnell, J. J., Mendiondo, E. M., O'Connell, P. E., Oki, T., Pomeroy, J. W., Schertzer, D., Uhlenbrook, S., and Zehe, E.: IAHS Decade on Predictions in Ungauged Basins (PUB), 2003–2012: Shaping an exciting future for the hydrological sciences, Hydrol. Sci. J., 48, 857–880, https://doi.org/10.1623/hysj.48.6.857.51421, 2003.
Smakhtin, V. U.: Low flow hydrology: a review, J. Hydrol., 240, 147–186, https://doi.org/10.1016/S0022-1694(00)00340-1, 2001.
Smakhtin, V. Y. and Masse, B.: Continuous daily hydrograph simulation using duration curves of a precipitation index, Hydrol. Process., 14, 1083–1100, https://doi.org/10.1002/(SICI)1099-1085(20000430)14:6<1083::AID-HYP998>3.0.CO; 2000.
Stedinger, J. R., Vogel, R. M., and Foufoula-Georigiou, E.: Frequency analysis of extreme events, in Handbook of Hydrology, edited by: Maidment, D., 1–69, McGraw-Hill, 1993.
U.S. Geological Survey: Hydro-Climatic Data Network (HCDN-2009), available at: http://water.usgs.gov/osw/hcdn-2009/, (last access: 15 August 2015), 2015a.
U.S. Geological Survey: National Water Information System, available at: http://waterdata.usgs.gov/nwis/ (last access: 15 August 2015), 2015b.
USGS: USGS Water Data for the Nation, available at: https://waterdata.usgs.gov/nwis, last access: 15 August 2015.
Viola, F., Noto, L. V., Cannarozzo, M., and La Loggia, G.: Regional flow duration curves for ungauged sites in Sicily, Hydrol. Earth Syst. Sci., 15, 323–331, https://doi.org/10.5194/hess-15-323-2011, 2011.
Vogel, R. M. and Fennessey, N. M.: L moment Diagrams should replace product moment diagrams, Water Resour. Res., 29, 1745–1752, 1993.
Vogel, R. M. and Fennessey, N. M.: Flow Duration Curves I: New Interpretation and Confidence Intervals, J. Water Res. Pl.-ASCE, 120, 485–504, 1994.
Vogel, R. M. and Fennessey, N. M.: Flow Duration Curves II, Water Resour. Bull., 31, 1029–1039, 1995.
Vogel, R. M., Tsai, Y., and Limbrunner, J. F.: The regional persistence and variability of annual streamflow in the United States, Water Resour. Res., 34, 3445–3459, 1998.
Vogel, R. M., Sieber, J., Archfield, S. A., Smith, M. P., Apse, C. D., and Huber-Lee, A.: Relations among storage, yield, and instream flow, Water Resour. Res., 43, W05403, https://doi.org/10.1029/2006WR005226, 2007.
Yokoo, Y. and Sivapalan, M.: Towards reconstruction of the flow duration curve: development of a conceptual framework with a physical basis, Hydrol. Earth Syst. Sci., 15, 2805–2819, https://doi.org/10.5194/hess-15-2805-2011, 2011.
Flow duration curves are ubiquitous in surface water hydrology for applications including water allocation and protection of ecosystem health. We identify three probability distributions that can provide a reasonable fit to daily streamflows across much of United States. These results help us understand of the behavior of daily streamflows and enhance our ability to predict streamflows at ungaged river locations.
Flow duration curves are ubiquitous in surface water hydrology for applications including water...