The Role of Snowmelt Temporal Pattern in Flood Estimation for a Small Snow‐Dominated Basin in the Sierra Nevada

Yan, Hongxiang; Sun, Ning; Wigmosta, Mark S.; Duan, Zhuoran; Gutmann, Ethan D.; Kruyt, Bert; Arnold, Jeffrey R.

doi:10.1029/2023WR034496

The Role of Snowmelt Temporal Pattern in Flood Estimation for a Small Snow‐Dominated Basin in the Sierra Nevada

Journal Article · Mon Oct 23 00:00:00 EDT 2023 · Water Resources Research

DOI:https://doi.org/10.1029/2023WR034496· OSTI ID:2203310

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Earth Systems Science Division Pacific Northwest National Laboratory Richland WA USA
Earth Systems Science Division Pacific Northwest National Laboratory Richland WA USA, Department of Civil and Environmental Engineering University of Washington Seattle WA USA
National Center for Atmospheric Research Boulder CO USA
MITRE Corporation McLean VA USA

Abstract

Prior research confirmed the substantial bias from using precipitation‐based intensity‐duration‐frequency curves (PREC‐IDF) in design flood estimates and proposed next‐generation IDF curves (NG‐IDF) that represent both rainfall and snow processes in runoff generation. This study improves the NG‐IDF technology for a snow‐dominated test basin in the Sierra Nevada. A well‐validated physics‐based hydrologic model, the Distributed Hydrology Soil Vegetation Model (DHSVM), is used to continuously simulate snowmelt and streamflow that are used as benchmark data sets to systematically assess the NG‐IDF technology. We find that, for the studied small snow‐dominated basin, the use of standard rainfall hyetographs in the NG‐IDF technology leads to substantial underestimation of design floods. Thus, we propose probabilistic hyetographs that can represent unique patterns of events with different underlying mechanisms. For the test basin where flooding events are generated entirely by snowmelt, we develop a hyetograph that characterizes snowmelt temporal patterns, which greatly improves the performance of NG‐IDF technology in design flood estimates. In contrast to the standard rainfall hyetographs characterized by a symmetrically peaked, bell‐shaped curve, the snowmelt hyetograph displays a more rapid rise (i.e., greater intensity) and a distinct diurnal pattern influenced by solar energy input. The results also show that the uncertainty of hyetography plays an important role in design flood estimation and can have important implications for future flood projections.

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Sponsoring Organization:: USDOE

OSTI ID:: 2203310

Alternate ID(s):: OSTI ID: 2328505
OSTI ID: 2203311

Journal Information:: Water Resources Research, Journal Name: Water Resources Research Journal Issue: 10 Vol. 59; ISSN 0043-1397

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

References (74)

Extent of the rain-snow transition zone in the western U.S. under historic and projected climate: Climatic rain-snow transition zone Klos, P. Zion; Link, Timothy E.; Abatzoglou, John T. Geophysical Research Letters, Vol. 41, Issue 13 https://doi.org/10.1002/2014GL060500	journal	July 2014
Perspectives on the causes of exceptionally low 2015 snowpack in the western United States: Low Snowpack in 2015 in the Western U.S. Mote, Philip W.; Rupp, David E.; Li, Sihan Geophysical Research Letters, Vol. 43, Issue 20 https://doi.org/10.1002/2016GL069965	journal	October 2016
Mixed populations and annual flood frequency estimates in the western United States: The role of atmospheric rivers: ATMOSPHERIC RIVERS AND WEST UNITE STATES FLOODS Barth, Nancy A.; Villarini, Gabriele; Nayak, Munir A. Water Resources Research, Vol. 53, Issue 1 https://doi.org/10.1002/2016WR019064	journal	January 2017
Yosemite Hydroclimate Network: Distributed stream and atmospheric data for the Tuolumne River watershed and surroundings: YOSEMITE HYDROCLIMATE NETWORK Lundquist, Jessica D.; Roche, James W.; Forrester, Harrison Water Resources Research, Vol. 52, Issue 9 https://doi.org/10.1002/2016WR019261	journal	September 2016
Next-Generation Intensity-Duration-Frequency Curves for Hydrologic Design in Snow-Dominated Environments Yan, Hongxiang; Sun, Ning; Wigmosta, Mark Water Resources Research, Vol. 54, Issue 2 https://doi.org/10.1002/2017WR021290	journal	February 2018
Quantifying Changes in Future Intensity‐Duration‐Frequency Curves Using Multimodel Ensemble Simulations Ragno, Elisa; AghaKouchak, Amir; Love, Charlotte A. Water Resources Research, Vol. 54, Issue 3 https://doi.org/10.1002/2017WR021975	journal	March 2018
Charred forests increase snowmelt: Effects of burned woody debris and incoming solar radiation on snow ablation: CHARRED FORESTS INCREASE SNOWMELT Gleason, Kelly E.; Nolin, Anne W.; Roth, Travis R. Geophysical Research Letters, Vol. 40, Issue 17 https://doi.org/10.1002/grl.50896	journal	September 2013
Climate and land cover effects on the temperature of Puget Sound streams: Assessment of Climate and Land Use Impacts on Stream Temperature Cao, Qian; Sun, Ning; Yearsley, John Hydrological Processes, Vol. 30, Issue 13 https://doi.org/10.1002/hyp.10784	journal	March 2016
Evaluating the functionality and streamflow impacts of explicitly modelling forest-snow interactions and canopy gaps in a distributed hydrologic model Sun, Ning; Wigmosta, Mark; Zhou, Tian Hydrological Processes, Vol. 32, Issue 13 https://doi.org/10.1002/hyp.13150	journal	June 2018
Evaluating next‐generation intensity–duration–frequency curves for design flood estimates in the snow‐dominated western United States Yan, Hongxiang; Sun, Ning; Wigmosta, Mark Hydrological Processes, Vol. 34, Issue 5 https://doi.org/10.1002/hyp.13673	journal	December 2019
A new long-wave formula for estimating downward clear-sky radiation at the surface Prata, A. J. Quarterly Journal of the Royal Meteorological Society, Vol. 122, Issue 533 https://doi.org/10.1002/qj.49712253306	journal	July 1996
An Introduction to Statistical Modeling of Extreme Values Coles, Stuart Springer Series in Statistics https://doi.org/10.1007/978-1-4471-3675-0	book	January 2001
Propagation of forcing and model uncertainties on to hydrological drought characteristics in a multi-model century-long experiment in large river basins Samaniego, L.; Kumar, R.; Breuer, L. Climatic Change, Vol. 141, Issue 3 https://doi.org/10.1007/s10584-016-1778-y	journal	August 2016
Spatial Hierarchical Modeling of Precipitation Extremes From a Regional Climate Model Cooley, Daniel; Sain, Stephan R. Journal of Agricultural, Biological, and Environmental Statistics, Vol. 15, Issue 3 https://doi.org/10.1007/s13253-010-0023-9	journal	March 2010
River flow forecasting through conceptual models part I — A discussion of principles Nash, J. E.; Sutcliffe, J. V. Journal of Hydrology, Vol. 10, Issue 3 https://doi.org/10.1016/0022-1694(70)90255-6	journal	April 1970
Extreme value theory based on the r largest annual events Smith, Richard L. Journal of Hydrology, Vol. 86, Issue 1-2 https://doi.org/10.1016/0022-1694(86)90004-1	journal	September 1986
An improved algorithm for estimating incident daily solar radiation from measurements of temperature, humidity, and precipitation Thornton, Peter E.; Running, Steven W. Agricultural and Forest Meteorology, Vol. 93, Issue 4 https://doi.org/10.1016/S0168-1923(98)00126-9	journal	March 1999
Selection of regional historical rainfall time series as input to urban drainage simulations at ungauged locations Mikkelsen, P. S.; Madsen, H.; Arnbjerg-Nielsen, K. Atmospheric Research, Vol. 77, Issue 1-4 https://doi.org/10.1016/j.atmosres.2004.10.016	journal	September 2005
Update of regional intensity–duration–frequency curves in Denmark: Tendency towards increased storm intensities Madsen, Henrik; Arnbjerg-Nielsen, Karsten; Mikkelsen, Peter Steen Atmospheric Research, Vol. 92, Issue 3 https://doi.org/10.1016/j.atmosres.2009.01.013	journal	May 2009
Parallel Distributed Hydrology Soil Vegetation Model (DHSVM) using global arrays Perkins, William A.; Duan, Zhuoran; Sun, Ning Environmental Modelling & Software, Vol. 122 https://doi.org/10.1016/j.envsoft.2019.104533	journal	December 2019
Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling Gupta, Hoshin V.; Kling, Harald; Yilmaz, Koray K. Journal of Hydrology, Vol. 377, Issue 1-2 https://doi.org/10.1016/j.jhydrol.2009.08.003	journal	October 2009
Runoff models and flood frequency statistics for design flood estimation in Austria – Do they tell a consistent story? Rogger, M.; Kohl, B.; Pirkl, H. Journal of Hydrology, Vol. 456-457 https://doi.org/10.1016/j.jhydrol.2012.05.068	journal	August 2012
Incorporating non-stationarity from climate change into rainfall frequency and intensity-duration-frequency (IDF) curves Schlef, Katherine E.; Kunkel, Kenneth E.; Brown, Casey Journal of Hydrology, Vol. 616 https://doi.org/10.1016/j.jhydrol.2022.128757	journal	January 2023
Magnitude and frequency of wet years under a megadrought climate in the western Great Basin, USA Hatchett, Benjamin J.; Boyle, Douglas P.; Garner, Christopher B. Quaternary Science Reviews, Vol. 152 https://doi.org/10.1016/j.quascirev.2016.09.017	journal	November 2016
Regional Frequency Analysis: An Approach Based on L-Moments Hosking, J. R. M.; Wallis, James R. https://doi.org/10.1017/CBO9780511529443	book	January 2009
Characteristics of large snowfall events in the montane western United States as examined using snowpack telemetry (SNOTEL) data Serreze, Mark C.; Clark, Martyn P.; Frei, Allan Water Resources Research, Vol. 37, Issue 3 https://doi.org/10.1029/2000WR900307	journal	March 2001
Mountain hydrology of the western United States: MOUNTAIN HYDROLOGY OF THE WESTERN US Bales, Roger C.; Molotch, Noah P.; Painter, Thomas H. Water Resources Research, Vol. 42, Issue 8 https://doi.org/10.1029/2005WR004387	journal	August 2006
Hydrologic connectivity between landscapes and streams: Transferring reach- and plot-scale understanding to the catchment scale: CONNECTIVITY BETWEEN LANDSCAPES AND STREAMS Jencso, Kelsey G.; McGlynn, Brian L.; Gooseff, Michael N. Water Resources Research, Vol. 45, Issue 4 https://doi.org/10.1029/2008WR007225	journal	April 2009
Observed Spatiotemporal Changes in the Mechanisms of Extreme Water Available for Runoff in the Western United States Yan, Hongxiang; Sun, Ning; Wigmosta, Mark Geophysical Research Letters, Vol. 46, Issue 2 https://doi.org/10.1029/2018GL080260	journal	January 2019
Regional Snow Parameters Estimation for Large‐Domain Hydrological Applications in the Western United States Sun, Ning; Yan, Hongxiang; Wigmosta, Mark S. Journal of Geophysical Research: Atmospheres, Vol. 124, Issue 10 https://doi.org/10.1029/2018JD030140	journal	May 2019
New Observed Data Sets for the Validation of Hydrology and Land Surface Models in Cold Climates Hamlet, Alan F. Water Resources Research, Vol. 54, Issue 8 https://doi.org/10.1029/2018WR023123	journal	August 2018
Improving Medium‐Range Forecasts of Rain‐on‐Snow Events in Prealpine Areas Fehlmann, Michael; Gascón, Estíbaliz; Rohrer, Mario Water Resources Research, Vol. 55, Issue 9 https://doi.org/10.1029/2018WR024644	journal	September 2019
The Role of Rain‐on‐Snow in Flooding Over the Conterminous United States Li, Dongyue; Lettenmaier, Dennis P.; Margulis, Steven A. Water Resources Research, Vol. 55, Issue 11 https://doi.org/10.1029/2019WR024950	journal	November 2019
Extreme Value Snow Water Equivalent and Snowmelt for Infrastructure Design Over the Contiguous United States Cho, Eunsang; Jacobs, Jennifer M. Water Resources Research, Vol. 56, Issue 10 https://doi.org/10.1029/2020WR028126	journal	September 2020
The Abuse of Popular Performance Metrics in Hydrologic Modeling Clark, Martyn P.; Vogel, Richard M.; Lamontagne, Jonathan R. Water Resources Research, Vol. 57, Issue 9 https://doi.org/10.1029/2020WR029001	journal	September 2021
Forest Canopy Density Effects on Snowpack Across the Climate Gradients of the Western United States Mountain Ranges Sun, Ning; Yan, Hongxiang; Wigmosta, Mark S. Water Resources Research, Vol. 58, Issue 1 https://doi.org/10.1029/2020WR029194	journal	January 2022
Future Changes in Snowpack, Snowmelt, and Runoff Potential Extremes Over North America Cho, Eunsang; McCrary, Rachel R.; Jacobs, Jennifer M. Geophysical Research Letters, Vol. 48, Issue 22 https://doi.org/10.1029/2021GL094985	journal	November 2021
Diverse Physical Processes Drive Upper‐Tail Flood Quantiles in the US Mountain West Yu, Guo; Wright, Daniel B.; Davenport, Frances V. Geophysical Research Letters, Vol. 49, Issue 10 https://doi.org/10.1029/2022GL098855	journal	May 2022
A distributed hydrology-vegetation model for complex terrain Wigmosta, Mark S.; Vail, Lance W.; Lettenmaier, Dennis P. Water Resources Research, Vol. 30, Issue 6 https://doi.org/10.1029/94WR00436	journal	June 1994
Slower snowmelt in a warmer world Musselman, Keith N.; Clark, Martyn P.; Liu, Changhai Nature Climate Change, Vol. 7, Issue 3 https://doi.org/10.1038/nclimate3225	journal	February 2017
Steeper temporal distribution of rain intensity at higher temperatures within Australian storms Wasko, Conrad; Sharma, Ashish Nature Geoscience, Vol. 8, Issue 7 https://doi.org/10.1038/ngeo2456	journal	June 2015
Projected increases and shifts in rain-on-snow flood risk over western North America Musselman, Keith N.; Lehner, Flavio; Ikeda, Kyoko Nature Climate Change, Vol. 8, Issue 9 https://doi.org/10.1038/s41558-018-0236-4	journal	August 2018
Datasets for characterizing extreme events relevant to hydrologic design over the conterminous United States Sun, Ning; Yan, Hongxiang; Wigmosta, Mark S. Scientific Data, Vol. 9, Issue 1 https://doi.org/10.1038/s41597-022-01221-9	journal	April 2022
A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950–2013 Livneh, Ben; Bohn, Theodore J.; Pierce, David W. Scientific Data, Vol. 2, Issue 1 https://doi.org/10.1038/sdata.2015.42	journal	August 2015
Nonstationary Precipitation Intensity-Duration-Frequency Curves for Infrastructure Design in a Changing Climate Cheng, Linyin; AghaKouchak, Amir Scientific Reports, Vol. 4, Issue 1 https://doi.org/10.1038/srep07093	journal	November 2014
Runoff Curve Number: Has It Reached Maturity? Ponce, Victor M.; Hawkins, Richard H. Journal of Hydrologic Engineering, Vol. 1, Issue 1 https://doi.org/10.1061/(ASCE)1084-0699(1996)1:1(11)	journal	January 1996
Evaluation of Mixed-Population Flood-Frequency Analysis Murphy, Peter J. Journal of Hydrologic Engineering, Vol. 6, Issue 1 https://doi.org/10.1061/(ASCE)1084-0699(2001)6:1(62)	journal	January 2001
Concepts of Information Content and Likelihood in Parameter Calibration for Hydrological Simulation Models Beven, Keith; Smith, Paul Journal of Hydrologic Engineering, Vol. 20, Issue 1 https://doi.org/10.1061/(ASCE)HE.1943-5584.0000991	journal	January 2015
Accounting for Mixed Populations in Flood Frequency Analysis: Bulletin 17C Perspective Barth, Nancy A.; Villarini, Gabriele; White, Kathleen Journal of Hydrologic Engineering, Vol. 24, Issue 3 https://doi.org/10.1061/(ASCE)HE.1943-5584.0001762	journal	March 2019
Next-Generation Intensity–Duration–Frequency Curves to Reduce Errors in Peak Flood Design Yan, Hongxiang; Sun, Ning; Wigmosta, Mark Journal of Hydrologic Engineering, Vol. 24, Issue 7 https://doi.org/10.1061/(ASCE)HE.1943-5584.0001799	journal	July 2019
Multimodel assessment of water scarcity under climate change Schewe, Jacob; Heinke, Jens; Gerten, Dieter Proceedings of the National Academy of Sciences, Vol. 111, Issue 9 https://doi.org/10.1073/pnas.1222460110	journal	December 2013
Greater vulnerability of snowmelt-fed river thermal regimes to a warming climate Yan, Hongxiang; Sun, Ning; Fullerton, Aimee Environmental Research Letters, Vol. 16, Issue 5 https://doi.org/10.1088/1748-9326/abf393	journal	April 2021
Afforestation affects rain-on-snow climatology over Norway Mooney, P. A.; Lee, H. Environmental Research Letters, Vol. 17, Issue 5 https://doi.org/10.1088/1748-9326/ac6684	journal	April 2022
Mechanistic Simulations Suggest Riparian Restoration Can Partly Counteract Climate Impacts to Juvenile Salmon Fullerton, Aimee H.; Sun, Ning; Baerwalde, Matthew J. JAWRA Journal of the American Water Resources Association, Vol. 58, Issue 4 https://doi.org/10.1111/1752-1688.13011	journal	June 2022
Comparative analysis of statistical and catchment modelling approaches to river flood frequency estimation: River flood frequency estimation Calver, A.; Stewart, E.; Goodsell, G. Journal of Flood Risk Management, Vol. 2, Issue 1 https://doi.org/10.1111/j.1753-318X.2009.01018.x	journal	March 2009
Stationarity Is Dead: Whither Water Management? Milly, P. C. D.; Betancourt, J.; Falkenmark, M. Science, Vol. 319, Issue 5863 https://doi.org/10.1126/science.1151915	journal	February 2008
The Accuracy of United States Precipitation Data Groisman, Pavel Ya; Legates, David R. Bulletin of the American Meteorological Society, Vol. 75, Issue 2 https://doi.org/10.1175/1520-0477(1994)075<0215:TAOUSP>2.0.CO;2	journal	February 1994
The Value of Climatological, Categorical and Probabilistic Forecasts in the Cost-Loss Ratio Situation Murphy, Allan H. Monthly Weather Review, Vol. 105, Issue 7 https://doi.org/10.1175/1520-0493(1977)105<0803:TVOCCA>2.0.CO;2	journal	July 1977
The Great Colorado Flood of September 2013 Gochis, David; Schumacher, Russ; Friedrich, Katja Bulletin of the American Meteorological Society, Vol. 96, Issue 9 https://doi.org/10.1175/BAMS-D-13-00241.1	journal	September 2015
Our Skill in Modeling Mountain Rain and Snow is Bypassing the Skill of Our Observational Networks Lundquist, Jessica; Hughes, Mimi; Gutmann, Ethan Bulletin of the American Meteorological Society, Vol. 100, Issue 12 https://doi.org/10.1175/BAMS-D-19-0001.1	journal	December 2019
A Long-Term Hydrologically Based Dataset of Land Surface Fluxes and States for the Conterminous United States: Update and Extensions Livneh, Ben; Rosenberg, Eric A.; Lin, Chiyu Journal of Climate, Vol. 26, Issue 23 https://doi.org/10.1175/JCLI-D-12-00508.1	journal	December 2013
Incorporating Climate Nonstationarity and Snowmelt Processes in Intensity–Duration–Frequency Analyses with Case Studies in Mountainous Areas Hou, Zhangshuan; Ren, Huiying; Sun, Ning Journal of Hydrometeorology, Vol. 20, Issue 12 https://doi.org/10.1175/JHM-D-19-0055.1	journal	December 2019
Bayesian Spatial Modeling of Extreme Precipitation Return Levels Cooley, Daniel; Nychka, Douglas; Naveau, Philippe Journal of the American Statistical Association, Vol. 102, Issue 479 https://doi.org/10.1198/016214506000000780	journal	September 2007
An Exact Test for Randomness in the Non-Parametric Case Based on Serial Correlation Wald, A.; Wolfowitz, J. The Annals of Mathematical Statistics, Vol. 14, Issue 4 https://doi.org/10.1214/aoms/1177731358	journal	December 1943
Nonparametric Tests Against Trend Mann, Henry B. Econometrica, Vol. 13, Issue 3 https://doi.org/10.2307/1907187	journal	July 1945
MTCLIM: a mountain microclimate simulation model Hungerford, Roger D.; Nemani, Ramakrishna R.; Running, Steven W. https://doi.org/10.2737/INT-RP-414	report	January 1989
Global multi-resolution terrain elevation data 2010 (GMTED2010) Danielson, Jeffrey J.; Gesch, Dean B. USGS https://doi.org/10.3133/ofr20111073	report	January 2011
Next-Generation Intensity-Duration-Frequency Curves for Climate-Resilient Infrastructure Design: Advances and Opportunities Yan, Hongxiang; Sun, Ning; Chen, Xiaodong Frontiers in Water, Vol. 2 https://doi.org/10.3389/frwa.2020.545051	journal	December 2020
On the role of storm duration in the mapping of rainfall to flood return periods Viglione, A.; Blöschl, G. Hydrology and Earth System Sciences, Vol. 13, Issue 2 https://doi.org/10.5194/hess-13-205-2009	journal	February 2009
On the role of the runoff coefficient in the mapping of rainfall to flood return periods Viglione, A.; Merz, R.; Blöschl, G. Hydrology and Earth System Sciences, Vol. 13, Issue 5 https://doi.org/10.5194/hess-13-577-2009	journal	May 2009
Does nonstationarity in rainfall require nonstationary intensity–duration–frequency curves? Ganguli, Poulomi; Coulibaly, Paulin Hydrology and Earth System Sciences, Vol. 21, Issue 12 https://doi.org/10.5194/hess-21-6461-2017	journal	January 2017
Increase in flood risk resulting from climate change in a developed urban watershed – the role of storm temporal patterns Hettiarachchi, Suresh; Wasko, Conrad; Sharma, Ashish Hydrology and Earth System Sciences, Vol. 22, Issue 3 https://doi.org/10.5194/hess-22-2041-2018	journal	January 2018
On the choice of calibration metrics for “high-flow” estimation using hydrologic models Mizukami, Naoki; Rakovec, Oldrich; Newman, Andrew J. Hydrology and Earth System Sciences, Vol. 23, Issue 6 https://doi.org/10.5194/hess-23-2601-2019	journal	January 2019
Technical note: Inherent benchmark or not? Comparing Nash–Sutcliffe and Kling–Gupta efficiency scores Knoben, Wouter J. M.; Freer, Jim E.; Woods, Ross A. Hydrology and Earth System Sciences, Vol. 23, Issue 10 https://doi.org/10.5194/hess-23-4323-2019	journal	January 2019

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