Characterizing Hydrologic Vulnerability under Nonstationary Climate and Antecedent Conditions Using a Process-Informed Stochastic Weather Generator
Publication: Journal of Water Resources Planning and Management
Volume 148, Issue 6
Abstract
The evaluation of water systems based on historical statistics is problematic when shifts in the hydrologic system occur due to a changing climate. An explicit link to thermodynamic and dynamic pathways in the climate system that may control water system performance is missing from current operational policies prescribed by regulation manuals within the US. In response, this study contributes an extended version of an existing weather regime (WR)–based stochastic weather generator (SWG) that allows (1) hourly simulation, (2) over the entire year, and (3) with a corrected representation of extremes. A range of climate scenarios is developed to demonstrate the insights that can be gained from linking the impacts of climate change to their thermodynamic and dynamic causal mechanisms, in this case for inflows to the Don Pedro Reservoir within the Tuolumne River Watershed of California. Application of the WR-SWG and water system modeling chain shows that the magnitude of flood events can be heavily influenced by antecedent hydrologic factors such as snow water equivalent (SWE) and soil moisture. Our results suggest that, under all climate change scenarios, SWE decreases as temperature increases and contributes more (sometimes up to 2.5 times more than the baseline) inflow as part of rain-on-snow events. The monthly reservoir inflows show the potential to cause extreme floods as the average rate of inflow increases by up to 80% with temperature increases, whereas SWE tends to increase by 50%, adding water to the stream during the high flow season. In addition to the temperature increase, if the water-holding capacity of the atmosphere increases with Clausius-Clapeyron scaling, reservoir inflows are projected to increase. This provides insight for risk-hedging policies: winter storm and spring snowmelt release and storage decisions that drive flood and drought risk, respectively.
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Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request. The database utilized in this analysis is publicly accessible through NOAA online repositories at https://www.ncdc.noaa.gov/cdo-web/datasets, including the gridded and station-based precipitation and temperature data. We thank NASA for providing the database of hourly weather patterns, which is available at https://ldas.gsfc.nasa.gov/nldas/nldas-2-forcing-data.
Acknowledgments
The authors acknowledge the support of the USACE and the Department of Water Resources, California, which helped to fund this study. We thank the anonymous reviewers for their thoughtful criticisms and suggestions, which helped to significantly improve this paper.
References
Allen, M. R., and W. J. Ingram. 2002. “Constraints on future changes in climate and the hydrologic cycle.” Nature 419 (6903): 228–232. https://doi.org/10.1038/nature01092.
Anderson, J., F. Chung, M. Anderson, L. Brekke, D. Easton, M. Ejeta, R. Peterson, and R. Snyder. 2008. “Progress on incorporating climate change into management of California’s water resources.” Supplement, Clim. Change 87 (S1): 91–108. https://doi.org/10.1007/s10584-007-9353-1.
Annandale, G. 2013. Quenching the thirst: Sustainable water supply and climate change. North Charleston, SC: CreateSpace.
Asnaashari, A., B. Gharabaghi, E. D. McBean, and A. A. Mahboubi. 2015. “Reservoir management under predictable climate variability and change.” J. Water Clim. Change 6 (3): 472–485. https://doi.org/10.2166/wcc.2015.053.
Barnett, T. P., J. C. Adam, and D. P. Lettenmaier. 2005. “Potential impacts of a warming climate on water availability in snow-dominated regions.” Nature 438 (7066): 303–309. https://doi.org/10.1038/nature04141.
Behrangi, A., B. Khakbaz, T. C. Jaw, A. AghaKouchak, K. Hsu, and S. Sorooshian. 2011. “Hydrologic evaluation of satellite precipitation products over a mid-size basin.” J. Hydrol. 397 (3–4): 225–237. https://doi.org/10.1016/j.jhydrol.2010.11.043.
Behzadi, F., A. Wasti, S. H. Rahat, J. N. Tracy, and P. A. Ray. 2020. “Analysis of the climate change signal in Mexico City given disagreeing data sources and scattered projections.” J. Hydrol.: Reg. Stud. 27 (Feb): 100662. https://doi.org/10.1016/j.ejrh.2019.100662.
Bhuiyan, M. A. E., E. I. Nikolopoulos, E. N. Anagnostou, P. Quintana-Seguí, and A. Barella-Ortiz. 2018. “A nonparametric statistical technique for combining global precipitation datasets: Development and hydrological evaluation over the Iberian Peninsula.” Hydrol. Earth Syst. Sci. 22 (2): 1371. https://doi.org/10.5194/hess-22-1371-2018.
Bhuiyan, M. A. E., F. Yang, N. K. Biswas, S. H. Rahat, and T. J. Neelam. 2020. “Machine learning-based error modeling to improve GPM IMERG precipitation product over the Brahmaputra River Basin.” Forecasting 2 (3): 248–266. https://doi.org/10.3390/forecast2030014.
Blenkinsop, S., E. Lewis, S. C. Chan, and H. J. Fowler. 2017. “Quality-control of an hourly rainfall dataset and climatology of extremes for the UK.” Int. J. Climatol. 37 (2): 722–740. https://doi.org/10.1002/joc.4735.
Brekke, L. D., E. P. Maurer, J. D. Anderson, M. D. Dettinger, E. S. Townsley, A. Harrison, and T. Pruitt. 2009. “Assessing reservoir operations risk under climate change.” Water Resour. Res. 45 (4). https://doi.org/10.1029/2008WR006941.
Chai, Y., Y. Li, Y. Yang, B. Zhu, S. Li, C. Xu, and C. Liu. 2019. “Influence of climate variability and reservoir operation on streamflow in the Yangtze River.” Sci. Rep. 9 (1): 1–10. https://doi.org/10.1007/s00382-013-1796-7.
Cheng, L., and A. AghaKouchak. 2014. “Nonstationary precipitation intensity-duration-frequency curves for infrastructure design in a changing climate.” Sci. Rep. 4 (1): 7093. https://doi.org/10.1038/srep07093.
Crétat, J., E. K. Vizy, and K. H. Cook. 2014. “How well are daily intense rainfall events captured by current climate models over Africa?” Clim. Dyn. 42 (9–10): 2691–2711. https://doi.org/10.1007/s00382-013-1796-7.
Das, T., M. Dettinger, D. Cayan, and H. Hidalgo. 2011. “Potential increase in floods in California’s Sierra Nevada under future climate projections.” Supplement, Clim. Change 109 (S1): 71–94. https://doi.org/10.1007/s10584-011-0298-z.
Dettinger, M. D. 2005. “A long-term (50-yr) historical perspective on the meteorology and hydrology of flood-generating winter storms in the American River basin.” In Proc., 2005 Symp. of the American River Watershed Institute. Davis, CA: CiteSeer.
Dettinger, M. D., F. M. Ralph, T. Das, P. J. Neiman, and D. R. Cayan. 2011. “Atmospheric rivers, floods and the water resources of California.” Water 3 (2): 445–478.
DWR (California Department of Water Resource). 2015. Perspectives and guidance for climate change analysis. Climate Change Technical Advisory Group. Sacramento, CA: DWR.
Ehsan, B. M. A., F. Begum, S. J. Ilham, and R. S. Khan. 2019. “Advanced wind speed prediction using convective weather variables through machine learning application.” Appl. Comput. Geosci. 1 (Oct): 100002. https://doi.org/10.1016/j.acags.2019.100002.
Emori, S., and S. J. Brown. 2005. “Dynamic and thermodynamic changes in mean and extreme precipitation under changed climate.” Geophys. Res. Lett. 32 (17). https://doi.org/10.1029/2005GL023272.
Epke, G., M. Finger, R. Lusardi, N. Marks, A. Nichols, S. E. Null, T. O’Rear, A. Senter, and J. Viers. 2010. Confluence: A natural and human history of the Tuolumne River Watershed. Davis, CA: Dept. of Geology and Center for Watershed Sciences. Univ. of California, Davis.
Farnham, D. J., J. Doss-Gollin, and U. Lall. 2018. “Regional extreme precipitation events: Robust inference from credibly simulated GCM variables.” Water Resour. Res. 54 (6): 3809–3824. https://doi.org/10.1002/2017WR021318.
Fischer, E. M., and R. Knutti. 2016. “Observed heavy precipitation increase confirms theory and early models.” Nat. Clim. Change 6 (11): 986–991. https://doi.org/10.1038/nclimate3110.
Fowler, H. J., S. Blenkinsop, and C. Tebaldi. 2007. “Linking climate change modelling to impacts studies: Recent advances in downscaling techniques for hydrological modelling.” Int. J. Climatol. J. R. Meteorol. Soc. 27 (12): 1547–1578. https://doi.org/10.1002/joc.1556.
Frei, C., H. C. Davies, J. Gurtz, and C. Schär. 2000. “Climate dynamics and extreme precipitation and flood events in central Europe.” Integr. Assess. 1 (4): 281–300. https://doi.org/10.1023/A:1018983226334.
Grimaldi, S., F. Serinaldi, F. Napolitano, and L. Ubertini. 2005. “A 3-copula function application for design hyetograph analysis.” IAHS-AISH Publ. 293: 203–211.
Guo, F., J. Lenoir, and T. C. Bonebrake. 2018. “Land-use change interacts with climate to determine elevational species redistributio.” Nat. Commun. 9 (1): 1–7. https://doi.org/10.1038%2Fs41467-018-03786-9.
Hamlet, A. F., and D. P. Lettenmaier. 2007. “Effects of 20th century warming and climate variability on flood risk in the Western U.S.” Water Resour. Res. 43 (6). https://doi.org/10.1029/2006WR005099.
Hamlet, A. F., P. W. Mote, M. P. Clark, and D. P. Lettenmaier. 2005. “Effects of temperature and precipitation variability on snowpack trends in the Western United States.” J. Clim. 18 (21): 4545–4561. https://doi.org/10.1175/JCLI3538.1.
Han, J., M. Kamber, and J. Pei. 2011. “Getting to know your data.” In Vol. 2 of Data mining, 39–82. Amsterdam, Netherlands: Elsevier. https://doi.org/10.1016/B978-0-12-381479-1.00002-2.
Hawcroft, M. K., L. C. Shaffrey, K. I. Hodges, and H. F. Dacre. 2012. “How much northern hemisphere precipitation is associated with extratropical cyclones?” Geophys. Res. Lett. 39 (24). https://doi.org/10.1029/2012GL053866.
Hoes, O., and F. Nelen. 2005. “Continuous simulation or event-based modelling to estimate flood probabilities?” WIT Trans. Ecol. Environ. 80.
Jakob, D., D. J. Karoly, and A. Seed. 2011. “Non-stationarity in daily and sub-daily intense rainfall—Part 1: Sydney, Australia.” Nat. Hazards Earth Syst. Sci. 11 (8): 2263–2271. https://doi.org/10.5194/nhess-11-2263-2011.
Karamouz, M., and S. Araghinejad. 2008. “Drought mitigation through long-term operation of reservoirs: Case study.” J. Irrig. Drain. Eng. 134 (4): 471–478. https://doi.org/10.1061/(ASCE)0733-9437(2008)134:4(471).
Kilsby, C. G., P. D. Jones, A. Burton, A. C. Ford, H. J. Fowler, C. Harpham, P. James, A. Smith, and R. L. Wilby. 2007. “A daily weather generator for use in climate change studies.” Environ. Modell. Software 22 (12): 1705–1719. https://doi.org/10.1016/j.envsoft.2007.02.005.
Knowles, N., M. D. Dettinger, and D. R. Cayan. 2006. “Trends in snowfall versus rainfall in the Western United States.” J. Clim. 19 (18): 4545–4559. https://doi.org/10.1175/JCLI3850.1.
Kraaijenbrink, P., M. Bierkens, A. F. Lutz, and W. W. Immerzeel. 2017. “Impact of a global temperature rise of 1.5 degrees celsius on Asia’s glaciers.” Nature 549 (7671): 257. https://doi.org/10.1038/nature23878.
Kundzewicz, Z. W., and E. Z. Stakhiv. 2010. “Are climate models ‘ready for prime time’ in water resources management applications, or is more research needed?” Hydrol. Sci. J. 55 (7): 1085–1089. https://doi.org/10.1080/02626667.2010.513211.
Kwon, H., U. Lall, and A. F. Khalil. 2007. “Stochastic simulation model for nonstationary time series using an autoregressive wavelet decomposition: Applications to rainfall and temperature.” Water Resour. Res. 43 (5). https://doi.org/10.1029/2006WR005258.
Lall, U., and A. Sharma. 1996. “A nearest neighbor bootstrap for resampling hydrologic time series.” Water Resour. Res. 32 (3): 679–693. https://doi.org/10.1029/95WR02966.
Lauri, H., H. De Moel, P. J. Ward, T. A. Räsänen, M. Keskinen, and M. Kummu. 2012. “Future changes in mekong river hydrology: Impact of climate change and reservoir operation on discharge.” Hydrol. Earth Syst. Sci. 16 (12): 4603–4619. https://doi.org/10.5194/hess-16-4603-2012.
Lempert, R. J. 2003. Shaping the next one hundred years: New methods for quantitative, long-term policy analysis. Santa Monica, CA: Rand Corporation.
Lenderink, G., R. Barbero, J. M. Loriaux, and H. J. Fowler. 2017. “Super-clausius–clapeyron scaling of extreme hourly convective precipitation and its relation to large-scale atmospheric conditions.” J. Clim. 30 (15): 6037–6052. https://doi.org/10.1175/JCLI-D-16-0808.1.
Li, X., and V. Babovic. 2019. “A new scheme for multivariate, multisite weather generator with inter-variable, inter-site dependence and inter-annual variability based on empirical copula approach.” Clim. Dyn. 52 (3–4): 2247–2267. https://doi.org/10.1007/s00382-018-4249-5.
Livneh, B., T. J. Bohn, D. W. Pierce, F. Munoz-Arriola, B. Nijssen, R. Vose, D. R. Cayan, and L. Brekke. 2015. “A spatially comprehensive, hydrometeorological data set for Mexico, the US, and Southern Canada 1950–2013.” Sci. Data 2 (1): 150042. https://doi.org/10.1038/sdata.2015.42.
Lynn Ingram, B., and P. K. Weber. 1999. “Salmon origin in California’s Sacramento–San Joaquin river system as determined by Otolith strontium isotopic composition.” Geology 27 (9): 851–854. https://doi.org/10.1130/0091-7613(1999)027%3C0851:SOICSS%3E2.3.CO;2.
Madsen, H., D. Lawrence, M. Lang, M. Martinkova, and T. R. Kjeldsen. 2014. “Review of trend analysis and climate change projections of extreme precipitation and floods in Europe.” J. Hydrol. 519 (Part D): 3634–3650. https://doi.org/10.1016/j.jhydrol.2014.11.003.
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.
McBain, S., and W. Trush. 2000. Habitat restoration plan for the lower Tuolumne River corridor. Turlock, CA: Tuolumne River Technical Advisory Committee.
Mei, Y., E. N. Anagnostou, E. I. Nikolopoulos, and M. Borga. 2014. “Error analysis of satellite precipitation products in mountainous basins.” J. Hydrometeorol. 15 (5): 1778–1793. https://doi.org/10.1175/JHM-D-13-0194.1.
Miller, N. L., K. E. Bashford, and E. Strem. 2003. “Potential impacts of climate of climate change on California hydrology.” J. Am. Water Resour. Assoc. 39 (4): 771–784.
Milly, P. C., J. Betancourt, M. Falkenmark, R. M. Hirsch, Z. W. Kundzewicz, D. P. Lettenmaier, and R. J. Stouffer. 2008. “Stationarity is dead: Whither water management?” Science 319 (5863): 573–574. https://doi.org/10.1126/science.1151915.
Mujumdar, P. P., and S. Ghosh. 2008. “Climate change impact on hydrology and water resources.” ISH J. Hydraul. Eng. 14 (3): 1–17. https://doi.org/10.1080/09715010.2008.10514918.
Muller, C. J., and P. A. O’Gorman. 2011. “An energetic perspective on the regional response of precipitation to climate change.” Nat. Clim. Change 1 (5): 266–271. https://doi.org/10.1038/nclimate1169.
Munévar, A., T. Das, P. Robinson, and M. Horvath. 2017. 2017 CVFPP update—Climate change analysis Technical memorandum. Sacramento, CA: Natural Resources Agency, Department of Water Resources.
Nishat, S., Y. Guo, and B. W. Baetz. 2010. “Antecedent soil moisture conditions of different soil types in South-western Ontario, Canada.” Hydrol. Processes 24 (17): 2417–2424. https://doi.org/10.1002/hyp.7647.
Pendergrass, A. G., and D. L. Hartmann. 2014. “Changes in the distribution of rain frequency and intensity in response to global warming.” J. Clim. 27 (22): 8372–8383. https://doi.org/10.1175/JCLI-D-14-00183.1.
Pepin, N. C., and J. D. Lundquist. 2008. “Temperature trends at high elevations: Patterns across the globe.” Geophys. Res. Lett. 35 (14). https://doi.org/10.1029/2008GL034026.
Pliner, P., and T. Saunders. 2008. “Vulnerability to freshman weight gain as a function of dietary restraint and residence.” Physiol. Behav. 93 (1–2): 76–82. https://doi.org/10.1016/j.physbeh.2007.07.017.
Raje, D., and P. P. Mujumdar. 2010. “Reservoir performance under uncertainty in hydrologic impacts of climate change.” Adv. Water Resour. 33 (3): 312–326. https://doi.org/10.1016/j.advwatres.2009.12.008.
Ray, P., S. Wi, A. Schwarz, M. Correa, M. He, and C. Brown. 2020. “Vulnerability and risk: Climate change and water supply from California’s Central Valley water system.” Clim. Change 1–23. https://doi.org/10.1007/s10584-020-02655-z.
Ray, P. A., and C. M. Brown. 2015. Confronting climate uncertainty in water resources planning and project design: The decision tree framework. Washington, DC: World Bank.
Ray, P. A., M. Ü Taner, K. E. Schlef, S. Wi, H. F. Khan, S. S. G. Freeman, and C. M. Brown. 2019. “Growth of the decision tree: Advances in bottom-up climate change risk management.” JAWRA J. Am. Water Resour. Assoc. 55 (4): 920–937. https://doi.org/10.1111/1752-1688.12701.
Read, L. K., and R. M. Vogel. 2015. “Reliability, return periods, and risk under nonstationarity.” Water Resour. Res. 51 (8): 6381–6398. https://doi.org/10.1002/2015WR017089.
Rice, R., R. C. Bales, M. W. Meadows, B. Kerkez, S. D. Glaser, M. Anderson, D. G. Marks, A. Mazurkiewicz, J. Dozier, and B. J. McGurk. 2009. “Design and implementation of a snow measurement network using ground-based wireless networks and space-borne measurements in the American River Basin of California.” In Proc., AGU Fall Meeting Abstracts, C33B–0504. Washington, DC: American Geophysical Union.
Scharffenberg, W., P. Ely, S. Daly, M. Fleming, and J. Pak. 2010. “Hydrologic modeling system (HEC-HMS): Physically-based simulation components.” In Vol. 27 of Proc., 2nd Joint Federal Interagency Conf., 1–8. Reston, VA: USGS.
Schlef, K. E., H. Moradkhani, and U. Lall. 2019. “Atmospheric circulation patterns associated with extreme united states floods identified via machine learning.” Sci. Rep. 9 (1): 1–12. https://doi.org/10.1038/s41598-019-43496-w.
Seager, R., D. Neelin, I. Simpson, H. Liu, N. Henderson, T. Shaw, Y. Kushnir, M. Ting, and B. Cook. 2014. “Dynamical and thermodynamical causes of large-scale changes in the hydrological cycle over north America in response to global warming.” J. Clim. 27 (20): 7921–7948. https://doi.org/10.1175/JCLI-D-14-00153.1.
Semenov, M. A. 2008. “Simulation of extreme weather events by a stochastic weather generator.” Clim. Res. 35 (3): 203–212. https://doi.org/10.3354/cr00731.
Semenov, M. A., and E. M. Barrow. 1997. “Use of a stochastic weather generator in the development of climate change scenarios.” Clim. Change 35 (4): 397–414. https://doi.org/10.1023/A:1005342632279.
Serago, J. M., and R. M. Vogel. 2018. “Parsimonious nonstationary flood frequency analysis.” Adv. Water Resour. 112 (Feb): 1–16. https://doi.org/10.1016/j.advwatres.2017.11.026.
She, D., Q. Shao, J. Xia, J. A. Taylor, Y. Zhang, L. Zhang, X. Zhang, and L. Zou. 2015. “Investigating the variation and non-stationarity in precipitation extremes based on the concept of event-based extreme precipitation.” J. Hydrol. 530 (Nov): 785–798. https://doi.org/10.1016/j.jhydrol.2015.10.029.
Sillmann, J., V. V. Kharin, X. Zhang, F. W. Zwiers, and D. Bronaugh. 2013. “Climate extremes indices in the CMIP5 multimodel ensemble: Part 1. model evaluation in the present climate.” J. Geophys. Res. Atmos. 118 (4): 1716–1733. https://doi.org/10.1002/jgrd.50203.
Singh, R., and R. Kumar. 2015. “Vulnerability of water availability in India due to climate change: A bottom-up probabilistic Budyko analysis.” Geophys. Res. Lett. 42 (22): 9799–9807. https://doi.org/10.1002/2015GL066363.
Skliris, N., J. D. Zika, G. Nurser, S. A. Josey, and R. Marsh. 2016. “Global water cycle amplifying at less than the Clausius-Clapeyron rate.” Sci. Rep. 6: 38752. https://doi.org/10.1038/srep38752.
Stakhiv, E. Z. 2011. “Pragmatic approaches for water management under climate change uncertainty 1.” JAWRA J. Am. Water Resour. Assoc. 47 (6): 1183–1196. https://doi.org/10.1111/j.1752-1688.2011.00589.x.
Steinschneider, S., and C. Brown. 2013. “A semiparametric multivariate, multisite weather generator with low-frequency variability for use in climate risk assessments.” Water Resour. Res. 49 (11): 7205–7220. https://doi.org/10.1002/wrcr.20528.
Steinschneider, S., P. Ray, S. H. Rahat, and J. Kucharski. 2019. “A weather-regime-based stochastic weather generator for climate vulnerability assessments of water systems in the Western United States.” Water Resour. Res. 55 (8): 6923–6945. https://doi.org/10.1029/2018WR024446.
Tabari, H. 2020. “Climate change impact on flood and extreme precipitation increases with water availability.” Sci. Rep. 10 (1): 1–10. https://doi.org/10.1038/s41598-020-70816-2.
Tamaddun, K. A., A. Kalra, and S. Ahmad. 2019. “Spatiotemporal variation in the continental US streamflow in association with large-scale climate signals across multiple spectral bands.” Water Resour. Manage. 33 (6): 1947–1968. https://doi.org/10.1007/s11269-019-02217-8.
Taner, M. U., P. Ray, and C. Brown. 2019. “Incorporating multidimensional probabilistic information into robustness-based water systems planning.” Water Resour. Res. 55 (5): 3659–3679. https://doi.org/10.1029/2018WR022909.
Taylor, K. E., R. J. Stouffer, and G. A. Meehl. 2012. “An overview of CMIP5 and the experiment design.” Bull. Am. Meteorol. Soc. 93 (4): 485–498. https://doi.org/10.1175/BAMS-D-11-00094.1.
Todini, E. 2007. “Hydrological catchment modelling: Past, present and future.” Hydrol. Earth Syst. Sci. 11 (1): 468–482. https://doi.org/10.5194/hess-11-468-2007.
USACE. 2017. “Management of water control systems.” Accessed October 10, 2017. https://www.publications.usace.army.mil/Portals/76/Publications/EngineerManuals/EM_1110-2-3600.pdf.
USGS. 2019. Guidelines for determining flood flow frequency bulletin 17C. Reston, VA: USGS.
Verdin, A., B. Rajagopalan, W. Kleiber, G. Podestá, and F. Bert. 2018. “A conditional stochastic weather generator for seasonal to multi-decadal simulations.” J. Hydrol. 556 (Jan): 835–846. https://doi.org/10.1016/j.jhydrol.2015.12.036.
Westra, S., H. J. Fowler, J. P. Evans, L. V. Alexander, P. Berg, F. Johnson, E. J. Kendon, G. Lenderink, and N. M. Roberts. 2014. “Future changes to the intensity and frequency of short-duration extreme rainfall.” Rev. Geophys. 52 (3): 522–555. https://doi.org/10.1002/2014RG000464.
Wilby, R. L., and S. Dessai. 2010. “Robust adaptation to climate change.” Weather 65 (7): 180–185. https://doi.org/10.1002/wea.543.
Willis, A. D., J. R. Lund, E. S. Townsley, and B. A. Faber. 2011. “Climate change and flood operations in the sacramento basin, California.” San Francisco Estuary Watershed Sci. 9 (2). https://doi.org/10.15447/sfews.2011v9iss2art3.
Xia, Y., K. Mitchell, M. Ek, J. Sheffield, B. Cosgrove, E. Wood, L. Luo, C. Alonge, H. Wei, and J. Meng. 2012. “Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products.” J. Geophys. Res. Atmos. 117 (D3). https://doi.org/10.1029/2011JD016048.
Yarnell, S. M., J. H. Viers, and J. F. Mount. 2010. “Ecology and management of the spring snowmelt recession.” Bioscience 60 (2): 114–127. https://doi.org/10.1525/bio.2010.60.2.6.
Zhang, X., V. Maggioni, A. Rahman, P. Houser, Y. Xue, T. Sauer, S. Kumar, and D. Mocko. 2020. “The influence of assimilating leaf area index in a land surface model on global water fluxes and storages.” Hydrol. Earth Syst. Sci. 24 (7): 3775–3788. https://doi.org/10.5194/hess-24-3775-2020.
Zhu, Z., A. Wasti, T. Schade, and P. A. Ray. 2021. “Techniques to evaluate the modifier process of national weather service flood forecasts.” J. Hydrol. X 11 (May): 100073. https://doi.org/10.1016/j.hydroa.2020.100073.
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Journal of Water Resources Planning and Management
Volume 148 • Issue 6 • June 2022
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© 2022 American Society of Civil Engineers.
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Received: Dec 1, 2020
Accepted: Jan 26, 2022
Published online: Apr 5, 2022
Published in print: Jun 1, 2022
Discussion open until: Sep 5, 2022
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