Case Studies
Dec 29, 2017

Adjusting Flood Peak Frequency Changes to Account for Climate Change Impacts in the Western United States

Publication: Journal of Water Resources Planning and Management
Volume 144, Issue 3

Abstract

One consistent projection for the western United States has been for increasing peak streamflow as the global climate warms. Although past studies have characterized some aspects of future streamflow projections, this effort exploits new data sources to estimate changing peak flow frequency based on output from many climate projections, which drive a physically-based hydrology model. Using historic and projected future streamflow simulations at 421 sites across the western United States, changes in peak flows for common recurrence intervals are estimated. A parameter relating the recurrence interval needed for design in the present to produce a future required recurrence interval is derived and mapped across the United States, illustrating a method for adapting design to a changing hydrologic setting. For this demonstration, using a higher business-as-usual greenhouse gas emissions pathway, peak flow increases were proportionately larger for the more rare 100-year (or 1% exceedance) event than the 10-year event. Compared to 1971–2000, the domain-wide peak flow magnitude is projected to increase by 14–19% for early 21st century and 31–43% by the end of the 21st century, depending on recurrence interval. Impacts under lower emissions pathways will be more modest (or occur further in the future). In terms of return period, by the end of the 21st century, the 100-year event of the late twentieth century is projected to be approximately a 40-year event, representing a 2.5-fold increase in occurrence probability. This approach offers a strategy for regional planners to incorporate these projected changes into design based on flood flow frequency.

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Acknowledgments

The authors acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for CMIP, and thank the climate modeling groups (listed in Table 1 of this paper) for producing and making available their model output. For CMIP the U.S. Department of Energy’s Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. The authors are grateful to the U.S. Department of Interior, Bureau of Reclamation, which has made available projected streamflow data for the western United States developed through its West-Wide Climate Risk Assessment effort.

References

Alexander, L. V., et al. (2006). “Global observed changes in daily climate extremes of temperature and precipitation.” J. Geophys. Res., 111(D5), D05109.
Alfieri, L., Burek, P., Feyen, L., and Forzieri, G. (2015). “Global warming increases the frequency of river floods in Europe.” Hydrol. Earth Syst. Sci., 19(5), 2247–2260.
Arnell, N. W., and Gosling, S. N. (2016). “The impacts of climate change on river flood risk at the global scale.” Clim. Change, 134(3), 387–401.
ASFPM (The Association of State Floodplain Managers). (2013). Flood mapping for the nation: A cost analysis for the nation’s flood map inventory, Madison, WI, 15.
Ashley, S. T., and Ashley, W. S. (2008). “Flood fatalities in the United States.” J. Appl. Meteorol. Climatol., 47(3), 805–818.
Barnett, T. P., et al. (2008). “Human-induced changes in the hydrology of the western United States.” Science, 319(5866), 1080–1083.
Brekke, L. D., et al. (2009). “Climate change and water resources management—A federal perspective.”, U.S. Geological Survey, Reston, VA.
Chen, J., St-Denis, B. G., Brissette, F. P., and Lucas-Picher, P. (2016). “Using natural variability as a baseline to evaluate the performance of bias correction methods in hydrological climate change impact studies.” J. Hydrometeorol., 17(8), 2155–2174.
Cloern, J. E., et al. (2011). “Projected evolution of California’s San Francisco Bay-Delta-River system in a century of climate change.” PloS One, 6(9), e24465.
Dankers, R., and Feyen, L. (2008). “Climate change impact on flood hazard in Europe: An assessment based on high-resolution climate simulations.” J. Geophys. Res., 113(D19), D19105.
Das, T., Maurer, E. P., Pierce, D. W., Dettinger, M. D., and Cayan, D. R. (2013). “Increases in flood magnitudes in California under warming climates.” J. Hydrol., 501, 101–110.
DeGaetano, A. T. (2009). “Time-dependent changes in extreme-precipitation return-period amounts in the continental United States.” J. Appl. Meteorol. Climatol., 48(10), 2086–2099.
Dobler, C., Hagemann, S., Wilby, R. L., and Stötter, J. (2012). “Quantifying different sources of uncertainty in hydrological projections in an alpine watershed.” Hydrol. Earth Syst. Sci., 16(11), 4343–4360.
Ficklin, D. L., Stewart, I. T., and Maurer, E. P. (2013). “Climate change impacts on streamflow and subbasin-scale hydrology in the upper Colorado River Basin.” PLoS One, 8(8), e71297.
Fill, H. D., and Steiner, A. A. (2003). “Estimating instantaneous peak flow from mean daily flow data.” J. Hydrol. Eng., 365–369.
Fuss, S., et al. (2014). “Betting on negative emissions.” Nature Clim. Change, 4(10), 850–853.
Girvetz, E. H., Zganjar, C., Raber, G. T., Maurer, E. P., Kareiva, P., and Lawler, J. J. (2009). “Applied climate-change analysis: The climate wizard tool.” PLoS One, 4(12), e8320.
Griffiths, G. A., Pearson, C. P., and McKerchar, A. I. (2009). “Climate variability and the design flood problem.” J. Hydrol., 48(1), 29–38.
Helsel, D. R., and Hirsch, R. M. (2002). Statistical methods in water resources, techniques of water resources investigations, U.S. Geological Survey, Reston, VA.
Hirabayashi, Y., et al. (2013). “Global flood risk under climate change.” Nature Clim. Change, 3(9), 816–821.
IACWD (Interagency Advisory Committee on Water Data). (1982). “Guidelines for determining flood flow frequency.”, U.S. Geological Survey, Office of Water Data Coordination, Reston, VA, 194.
IPCC (Intergovernmental Panel on Climate Change). (2013). Climate change 2013: The physical science basis, Cambridge University Press, Cambridge, U.K.
Jeuken, A., et al. (2016). “Climate risk informed decision analysis (CRIDA): A novel practical guidance for climate resilient investments and planning.” Proc., EGU General Assembly Conf. Abstracts, European Geophysical Union, Munich, Germany, 8797.
Kirshen, P., Caputo, L., Vogel, R. M., Mathisen, P., Rosner, A., and Renaud, T. (2015). “Adapting urban infrastructure to climate change: A drainage case study.” J. Water Resour. Plann. Manage., 04014064.
Kollat, J., Kasprzyk, J., Thomas, W., Miller, A., and Divoky, D. (2012). “Estimating the impacts of climate change and population growth on flood discharges in the United States.” J. Water Resour. Plann. Manage., 442–452.
Kundzewicz, Z. W., et al. (2013). “Flood risk and climate change: Global and regional perspectives.” Hydrol. Sci. J., 59(1), 1–28.
Kuo, C.-C., Gan, T. Y., and Gizaw, M. (2015). “Potential impact of climate change on intensity duration frequency curves of central Alberta.” Clim. Change, 130(2), 115–129.
Liang, X., Lettenmaier, D. P., Wood, E., and Burges, S. J. (1994). “A simple hydrologically based model of land surface water and energy fluxes for general circulation models.” J. Geophys Res., 99(D7), 14415–14428.
Lohmann, D., Nolte-Holube, R., and Raschke, E. (1996). “A large-scale horizontal routing model to be coupled to land surface parameterization schemes.” Tellus, 48A(5), 708–721.
Mailhot, A., and Duchesne, S. (2010). “Design criteria of urban drainage infrastructures under climate change.” J. Water Res. Plann. Manage., 201–208.
Mallakpour, I., and Villarini, G. (2015). “The changing nature of flooding across the central United States.” Nature Clim. Change, 5(3), 250–254.
Matti, B., Dahlke, H. E., and Lyon, S. W. (2016). “On the variability of cold region flooding.” J. Hydrol., 534(Mar), 669–679.
Maurer, E. P. (2007). “Uncertainty in hydrologic impacts of climate change in the Sierra Nevada, California, under two emissions scenarios.” Clim. Change, 82(3–4), 309–325.
Maurer, E. P., et al. (2014). “An enhanced archive facilitating climate impacts and adaptation analysis.” Bull. Am. Met. Soc., 95(7), 1011–1019.
Mendoza, P. A., et al. (2015). “Effects of hydrologic model choice and calibration on the portrayal of climate change impacts.” J. Hydrometeorol., 16(2), 762–780.
Mendoza, P. A., et al. (2016). “How do hydrologic modeling decisions affect the portrayal of climate change impacts?” Hydrol. Processes, 30(7), 1071–1095.
Min, S.-K., Zhang, X., Zwiers, F. W., and Hegerl, G. C. (2011). “Human contribution to more-intense precipitation extremes.” Nature, 470(7334), 378–381.
Mizukami, N., et al. (2016). “Implications of the methodological choices for hydrologic portrayals of climate change over the contiguous United States: Statistically downscaled forcing data and hydrologic models.” J. Hydrometeorol., 17(1), 73–98.
Olsen, J. R. (2015). Adapting infrastructure and civil engineering practice to a changing climate, Committee on Adaptation to a Changing Climate, ASCE, Reston, VA.
Peterson, T. C., et al. (2013). “Monitoring and understanding changes in heat waves, cold waves, floods, and droughts in the United States: State of knowledge.” Bull. Am. Met. Soc., 94(6), 821–834.
Prudhomme, C., and Davies, H. (2009). “Assessing uncertainties in climate change impact analyses on the river flow regimes in the U.K. 1: Baseline climate.” Clim. Change, 93(1), 177–195.
Reclamation. (2011). “West-wide climate risk assessments: Bias-corrected and spatially downscaled surface water projections.”, U.S. Dept. of Interior and Bureau of Reclamation, Technical Service Center, Denver, 138.
Reclamation. (2013). “Downscaled CMIP3 and CMIP5 climate projections: Release of downscaled CMIP5 climate projections, comparison with preceding information, and summary of user needs.” U.S. Dept. of the Interior, Bureau of Reclamation, Technical Service Center, Denver.
Rood, S. B., Foster, S. G., Hillman, E. J., Luek, A., and Zanewich, K. P. (2016). “Flood moderation: Declining peak flows along some Rocky Mountain rivers and the underlying mechanism.” J. Hydrol., 536(May), 174–182.
Rosenberg, E., et al. (2010). “Precipitation extremes and the impacts of climate change on stormwater infrastructure in Washington State.” Clim. Change, 102(1–2), 319–349.
Salas, J., Rajagopalan, B., Saito, L., and Brown, C. (2012). “Special section on climate change and water resources: Climate nonstationarity and water resources management.” J. Water Resour. Plann. Manage., 385–388.
Salathé, E. P., Hamlet, A. F., Mass, C. F., Lee, S.-Y., Stumbaugh, M., and Steed, R. (2014). “Estimates of twenty-first-century flood risk in the Pacific Northwest based on regional climate model simulations.” J. Hydrometeorol., 15(5), 1881–1899.
Simonovic, S. P., Schardong, A., and Sandink, D. (2017). “Mapping extreme rainfall statistics for Canada under climate change using updated intensity-duration-frequency curves.” J. Water Resour. Plann. Manage., 04016078.
Stewart, I. T., Cayan, D. R., and Dettinger, M. D. (2005). “Changes toward earlier streamflow timing across western North America.” J. Climate, 18(8), 1136–1155.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A. (2012). “An overview of CMIP5 and the experiment design.” Bull. Am. Met. Soc., 93(4), 485–498.
Tebaldi, C., and Arblaster, J. M. (2014). “Pattern scaling: Its strengths and limitations, and an update on the latest model simulations.” Clim. Change, 122(3), 459–471.
Tebaldi, C., Strauss, B. H., and Zervas, C. E. (2012). “Modelling sea level rise impacts on storm surges along U.S. coasts.” Environ. Res. Lett., 7(1), 014032.
Tohver, I. M., Hamlet, A. F., and Lee, S.-Y. (2014). “Impacts of 21st-century climate change on hydrologic extremes in the Pacific Northwest region of North America.” J. Am. Water Resour. Assoc., 50(6), 1461–1476.
Trenberth, K. E. (2011). “Changes in precipitation with climate change.” Clim. Res., 47(1), 123–138.
Vano, J. A., et al. (2014). “Understanding uncertainties in future Colorado River streamflow.” Bull. Am. Met. Soc., 95(1), 59–78.
Vicuna, S., Maurer, E. P., Joyce, B., Dracup, J. A., and Purkey, D. (2007). “The sensitivity of California water resources to climate change scenarios.” J. Am. Water Resour. Assoc., 43(2), 482–498.
Vogel, J., McNie, E., and Behar, D. (2016). “Co-producing actionable science for water utilities.” Clim. Serv., 2–3(Sep), 30–40.
Walker, J. F., Hay, L. E., Markstrom, S. L., and Dettinger, M. D. (2011). “Characterizing climate-change impacts on the 1.5-yr flood flow in selected basins across the United States: A probabilistic approach.” Earth Interact, 15(18), 1–16.
Whateley, S., Steinschneider, S., and Brown, C. (2016). “Selecting stochastic climate realizations to efficiently explore a wide range of climate risk to water resource systems.” J. Water Resour. Plann. Manage., 06016002.
White House. (2015). “Executive order 13960: Establishing a federal flood risk management standard and a process for further soliciting and considering stakeholder input.” Federal Register, 80 (No. 23, Jan. 30).
Wilby, R. L., and Keenan, R. (2012). “Adapting to flood risk under climate change.” Prog. Phys. Geogr., 36(3), 348–378.
Willems, P. (2013). “Revision of urban drainage design rules after assessment of climate change impacts on precipitation extremes at Uccle, Belgium.” J. Hydrol., 496(Jul), 166–177.
Wobus, C., Lawson, M., Jones, R., Smith, J., and Martinich, J. (2014). “Estimating monetary damages from flooding in the United States under a changing climate.” J. Flood Risk Manage., 7(3), 217–229.
Wood, A. W., Leung, L. R., Sridhar, V., and Lettenmaier, D. P. (2004). “Hydrologic implications of dynamical and statistical approaches to downscaling climate model outputs.” Clim. Change, 62(1–3), 189–216.
Wood, A. W., Maurer, E. P., Kumar, A., and Lettenmaier, D. P. (2002). “Long-range experimental hydrologic forecasting for the eastern United States.” J. Geophys Res., 107(D20), 4429.
Wu, S.-Y. (2015). “Changing characteristics of precipitation for the contiguous United States.” Clim. Change, 132(4), 677–692.
Wuebbles, D., et al. (2014). “CMIP5 climate model analyses: Climate extremes in the United States.” Bull. Am. Met. Soc., 95(4), 571–583.
Zhu, J., Stone, M. C., and Forsee, W. (2012). “Analysis of potential impacts of climate change on intensity-duration–frequency (IDF) relationships for six regions in the United States.” J. Water Clim. Change, 3(3), 185–196.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 144Issue 3March 2018

History

Received: Jan 23, 2017
Accepted: Sep 5, 2017
Published online: Dec 29, 2017
Published in print: Mar 1, 2018
Discussion open until: May 29, 2018

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Professor, Dept. of Civil Engineering, Santa Clara Univ., Santa Clara, CA 95053-0563 (corresponding author). ORCID: https://orcid.org/0000-0001-7134-487X. E-mail: [email protected]
Gretchen Kayser [email protected]
Hydraulic Modeler, Herrera Environmental Consultants, 2200 Sixth Ave. Suite 1100 Seattle, WA 98121; formerly, Golder Associates Inc., Redmond, Washington, DC 98052. E-mail: [email protected]
Laura Doyle, Ph.D. [email protected]
Lecturer, Dept. of Civil Engineering, Santa Clara Univ., Santa Clara, CA 95053-0563. E-mail: [email protected]
Andrew W. Wood, Ph.D. [email protected]
Project Scientist III, Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO 80307-3000. E-mail: [email protected]

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