Predictability of Seasonal Streamflow in a Changing Climate in the Sierra Nevada
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area and Dataset
2.2. Potential Predictors
2.3. Trend Analysis
2.4. Study Metrics
3. Results
3.1. Variability and Trend
3.2. Predictability from Operational Predictors
3.3. Predictability from Potential Predictors
4. Discussion and Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
- Twedt, T.M.; Burnash, R.J.C.; Ferral, R.L. Extended streamflow prediction during the California drought. In Proceedings of the 46th Annual Western Snow Conference, Otter Rock, OR, USA, 7–14 April 1978.
- Krzysztofowicz, R. Optimal water supply planning based on seasonal runoff forecasts. Water Resour. Res. 1986, 22, 313–321. [Google Scholar] [CrossRef]
- Krzysztofowicz, R. Expected utility, benefit, and loss criteria for seasonal water supply planning. Water Resour. Res. 1986, 22, 303–312. [Google Scholar] [CrossRef]
- Brumbelow, K.; Georgakakos, A. Agricultural planning and irrigation management: The need for decision support. Clim. Rep. 2001, 1, 2–6. [Google Scholar]
- Hayes, M.; Svoboda, M.; Le Comte, D.; Redmond, K.T.; Pasteris, P. Drought monitoring: New tools for the 21st century. In Drought and Water Crises: Science, Technology, and Management Issues; Wilhite, D.A., Ed.; CRC Press: Boca Raton, FL, USA, 2005; p. 53. [Google Scholar]
- Smith, J.A.; Sheer, D.P.; Schaake, J. Use of hydrometeorological data in drought management: Potomac River basin case study. In Proceedings of the American Water Resources Association, Denver, CO, USA, 13–17 June 1982.
- Sheer, D.P. Analyzing the risk of drought: The occoquan experience. J. Am. Water Works Ass. 1980, 72, 246–253. [Google Scholar]
- Yao, H.; Georgakakos, A. Assessment of Folsom Lake response to historical and potential future climate scenarios: 2. Reservoir management. J. Hydrol. 2001, 249, 176–196. [Google Scholar] [CrossRef]
- Hamlet, A.F.; Huppert, D.; Lettenmaier, D.P. Economic value of long-lead streamflow forecasts for Columbia River hydropower. J. Water Resour. Plan. Manage. 2002, 128, 91–101. [Google Scholar] [CrossRef]
- Maurer, E.P.; Lettenmaier, D.P. Potential effects of long-lead hydrologic predictability on Missouri River main-stem reservoirs. J. Clim. 2004, 17, 174–186. [Google Scholar] [CrossRef]
- Cayan, D.R.; Dettinger, M.D.; Kammerdiener, S.A.; Caprio, J.M.; Peterson, D.H. Changes in the onset of spring in the Western United States. B. Am. Meteorol. Soc. 2001, 82, 399–415. [Google Scholar] [CrossRef]
- Mote, P.W.; Hamlet, A.F.; Clark, M.P.; Lettenmaier, D.P. Declining mountain snowpack in Western North America. B. Am. Meteorol. Soc. 2005, 86, 39–49. [Google Scholar] [CrossRef]
- Regonda, S.K.; Rajagopalan, B.; Clark, M.; Pitlick, J. Seasonal cycle shifts in hydroclimatology over the Western United States. J. Clim. 2005, 18, 372–384. [Google Scholar] [CrossRef]
- Stewart, I.T.; Cayan, D.R.; Dettinger, M.D. Changes in snowmelt runoff timing in Western North America under a ‘business as usual’ climate change scenario. Clim. Change 2004, 62, 217–232. [Google Scholar] [CrossRef]
- Pagano, T.; Garen, D.; Sorooshian, S. Evaluation of official Western US seasonal water supply outlooks, 1922–2002. J. Hydrometeorol. 2004, 5, 896–909. [Google Scholar] [CrossRef]
- Harrison, B.; Bales, R. Skill assessment of water supply outlooks in the Colorado River basin. Hydrology 2015, 2, 112–131. [Google Scholar] [CrossRef]
- Rosenberg, E.A.; Wood, A.W.; Steinemann, A.C. Statistical applications of physically based hydrologic models to seasonal streamflow forecasts. Water Resour. Res. 2011. [Google Scholar] [CrossRef]
- Zuzel, J.F.; Cox, L.M. A review of operational water supply forecasting techniques in areas of seasonal snowcover. In Proceedings of the 46th Annual Western Snow Conference, Otter Rock, OR, USA, 7–14 April 1978.
- Huber, A.L.; Robertson, D.C. Regression models in water supply forecasting. In Proceedings of the 50th Annual Western Snow Conference, Reno, NV, USA, 19–23 April 1982.
- Garen, D.C. Improved techniques in regression-based streamflow volume forecasting. J. Water Resour. Plan. Manage. 1992, 118, 654–670. [Google Scholar] [CrossRef]
- Svensson, C. Seasonal river flow forecasts for the United Kingdom using persistence and historical analogues. Hydrol. Sci. J. 2014. [Google Scholar] [CrossRef]
- Grundstein, A. Evaluation of climate change over the continental United States using a moisture index. Clim. Change 2009, 93, 103–115. [Google Scholar] [CrossRef]
- Pryor, S.; Howe, J.; Kunkel, K. How spatially coherent and statistically robust are temporal changes in extreme precipitation in the contiguous USA? Int. J. Climatol. 2009, 29, 31–45. [Google Scholar] [CrossRef]
- Grundstein, A.; Dowd, J. Trends in extreme apparent temperatures over the United States, 1949–2010. J. Appl. Meteorol. Clim. 2011, 50, 1650–1653. [Google Scholar] [CrossRef]
- Hoerling, M.P.; Dettinger, M.; Wolter, K.; Lukas, J.; Eischeid, J.; Nemani, R.; Liebmann, B.; Kunkel, K.E.; Kumar, A. Present weather and climate: Evolving conditions. In Assessment of Climate Change in the Southwest United States; Springer: Berlin, Germany, 2013; pp. 74–100. [Google Scholar]
- Schwartz, M.D.; Ault, T.R.; Betancourt, J.L. Spring onset variations and trends in the continental United States: Past and regional assessment using temperature-based indices. Int. J. Climatol. 2013, 33, 2917–2922. [Google Scholar] [CrossRef]
- Bonfils, C.; Duffy, P.B.; Santer, B.D.; Wigley, T.M.; Lobell, D.B.; Phillips, T.J.; Doutriaux, C. Identification of external influences on temperatures in California. Clim. Change 2008, 87, 43–55. [Google Scholar] [CrossRef]
- Bonfils, C.; Santer, B.D.; Pierce, D.W.; Hidalgo, H.G.; Bala, G.; Das, T.; Barnett, T.P.; Cayan, D.R.; Doutriaux, C.; Wood, A.W.; et al. Detection and attribution of temperature changes in the mountainous Western United States. J. Clim. 2008, 21, 6404–6424. [Google Scholar] [CrossRef]
- Wang, H.; Schubert, S.; Suarez, M.; Chen, J.; Hoerling, M.; Kumar, A.; Pegion, P. Attribution of the seasonality and regionality in climate trends over the United States during 1950–2000. J. Clim. 2009, 22, 2571–2590. [Google Scholar] [CrossRef]
- Westby, R.M.; Lee, Y.Y.; Black, R.X. Anomalous temperature regimes during the cool season: Long-term trends, low-frequency mode modulation, and representation in CMIP5 simulations. J. Clim. 2013, 26, 9061–9076. [Google Scholar] [CrossRef]
- He, M.; Gautam, M. Variability and trends in precipitation, temperature and drought indices in the State of California. Hydrology 2016. [Google Scholar] [CrossRef]
- Redmond, K.T.; Koch, R.W. Surface climate and streamflow variability in the Western United States and their relationship to large-scale circulation indices. Water Resour. Res. 1991, 27, 2381–2399. [Google Scholar] [CrossRef]
- Moradkhani, H.; Meier, M. Long-lead water supply forecast using large-scale climate predictors and independent component analysis. J. Hydrol. Eng. 2010, 15, 744–762. [Google Scholar] [CrossRef]
- Kennedy, A.M.; Garen, D.C.; Koch, R.W. The association between climate teleconnection indices and upper Klamath seasonal streamflow: Trans-Niño index. Hydrol. Process. 2009, 23, 973–984. [Google Scholar] [CrossRef]
- Opitz-Stapleton, S.; Gangopadhyay, S.; Rajagopalan, B. Generating streamflow forecasts for the Yakima River basin using large-scale climate predictors. J. Hydrol. 2007, 341, 131–143. [Google Scholar] [CrossRef]
- Tootle, G.A.; Piechota, T.C. Relationships between Pacific and Atlantic ocean sea surface temperatures and US streamflow variability. Water Resour. Res. 2006. [Google Scholar] [CrossRef]
- Tootle, G.A.; Piechota, T.C. Suwannee river long range streamflow forecasts based on seasonal climate predictors. J. Am. Water Resour. Assoc. 2004, 40, 523–532. [Google Scholar] [CrossRef]
- Soukup, T.L.; Aziz, O.A.; Tootle, G.A.; Piechota, T.C.; Wulff, S.S. Long lead-time streamflow forecasting of the North Platte River incorporating oceanic–atmospheric climate variability. J. Hydrol. 2009, 368, 131–142. [Google Scholar] [CrossRef]
- Chiew, F.H.; Piechota, T.C.; Dracup, J.A.; McMahon, T.A. El Nino/Southern Oscillation and australian rainfall, streamflow and drought: Links and potential for forecasting. J. Hydrol. 1998, 204, 138–149. [Google Scholar] [CrossRef]
- Piechota, T.C.; Chiew, F.H.; Dracup, J.A.; McMahon, T.A. Seasonal streamflow forecasting in Eastern Australia and the El Niño–Southern Oscillation. Water Resour. Res. 1998, 34, 3035–3044. [Google Scholar] [CrossRef]
- Piechota, T.C.; Dracup, J.A. Long-range streamflow forecasting using El Niño-Southern Oscillation indicators. J. Hydrol. Eng. 1999, 4, 144–151. [Google Scholar] [CrossRef]
- Hamlet, A.F.; Lettenmaier, D.P. Columbia river streamflow forecasting based on ENSO and PDO climate signals. J. Water Resour. Plan. Manage. 1999, 125, 333–341. [Google Scholar] [CrossRef]
- Robertson, D.E.; Wang, Q.J. A Bayesian approach to predictor selection for seasonal streamflow forecasting. J. Hydrometeorol. 2012, 13, 155–171. [Google Scholar] [CrossRef]
- Karamouz, M.; Zahraie, B. Seasonal streamflow forecasting using snow budget and El Niño-Southern Oscillation climate signals: Application to the Salt River basin in Arizona. J. Hydrol. Eng. 2004, 9, 523–533. [Google Scholar] [CrossRef]
- Carbone, G.J.; Dow, K. Water resource management and drought forecasts in South Carolina. J. Am. Water Resour. Assoc. 2005, 41, 145–155. [Google Scholar] [CrossRef]
- Trenberth, K.E.; Stepaniak, D.P. Indices of El Niño evolution. J. Clim. 2001, 14, 1697–1701. [Google Scholar] [CrossRef]
- Wolter, K. The Southern Oscillation in surface circulation and climate over the tropical Atlantic, Eastern Pacific, and Indian oceans as captured by cluster analysis. J. Clim. Appl. Meteorol. 1987, 26, 540–558. [Google Scholar] [CrossRef]
- Wallace, J.M.; Gutzler, D.S. Teleconnections in the geopotential height field during the northern hemisphere winter. Mon. Weather Rev. 1981, 109, 784–812. [Google Scholar] [CrossRef]
- Mantua, N.J.; Hare, S.R.; Zhang, Y.; Wallace, J.M.; Francis, R.C. A Pacific interdecadal climate oscillation with impacts on salmon production. B. Am. Meteorol. Soc. 1997, 78, 1069–1079. [Google Scholar] [CrossRef]
- Keyantash, J.; Dracup, J.A. The quantification of drought: An evaluation of drought indices. B. Am. Meteorol. Soc. 2002, 83, 1167–1180. [Google Scholar]
- Heim, R.R., Jr. A review of twentieth-century drought indices used in the United States. B. Am. Meteorol. Soc. 2002, 83, 1149–1165. [Google Scholar]
- Dai, A. Drought under global warming: A review. WIREs Clim. Change 2011, 2, 45–65. [Google Scholar] [CrossRef]
- McKee, T.B.; Doesken, N.J.; Kleist, J. The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology, Anaheim, CA, USA, 17–22 January 1993.
- Shukla, S.; Wood, A.W. Use of a standardized runoff index for characterizing hydrologic drought. Geophys. Res. Lett. 2008. [Google Scholar] [CrossRef]
- Guttman, N. Accepting the standardized precipitation index: A calculation algorithm. J. Am. Water Resour. Assoc. 1999, 35, 311–322. [Google Scholar] [CrossRef]
- Quiring, S.M. Developing objective operational definitions for monitoring drought. J. Appl. Meteorol. Climatol. 2009, 48, 1217–1229. [Google Scholar] [CrossRef]
- Farahmand, A.; AghaKouchak, A. A generalized framework for deriving nonparametric standardized drought indicators. Adv. Water Resour. 2015, 76, 140–145. [Google Scholar] [CrossRef]
- Mann, H. Non-parametric tests against trend. Econometrica 1945, 13, 245–259. [Google Scholar] [CrossRef]
- Kendall, M.G. Rank Correlation Methods; Charles Griffin: London, UK, 1975. [Google Scholar]
- Thiel, H. A rank-invariant method of linear and polynomial regression analysis, part 3. In Advanced Studies in Theoretical and Applied Econometrics; Springer: Berlin, Germany, 1992; pp. 345–381. [Google Scholar]
- Sen, P.K. Estimates of the regression coefficient based on Kendall's tau. J. Am. Stat. Assoc. 1968, 63, 1379–1389. [Google Scholar] [CrossRef]
- von Storch, H. Misuses of statistical analysis in climate research. In Analysis of Climate Variability; Springer: Berlin, Germany, 1995; pp. 11–26. [Google Scholar]
- Douglas, E.; Vogel, R.; Kroll, C. Trends in floods and low flows in the United States: Impact of spatial correlation. J. Hydrol. 2000, 240, 90–105. [Google Scholar] [CrossRef]
- Hamed, K.H.; Rao, A.R. A modified Mann-Kendall trend test for autocorrelated data. J. Hydrol. 1998, 204, 182–196. [Google Scholar] [CrossRef]
- Yue, S.; Pilon, P.; Phinney, B. Canadian streamflow trend detection: Impacts of serial and cross-correlation. Hydrolog. Sci. J. 2003, 48, 51–63. [Google Scholar] [CrossRef]
- Yue, S.; Pilon, P.; Phinney, B.; Cavadias, G. The influence of autocorrelation on the ability to detect trend in hydrological series. Hydrol. Process. 2002, 16, 1807–1829. [Google Scholar] [CrossRef]
- Yue, S.; Wang, C.Y. Applicability of prewhitening to eliminate the influence of serial correlation on the mann-kendall test. Water Resour. Res. 2002, 38. [Google Scholar] [CrossRef]
- Pagano, T.; Garen, D. A recent increase in Western US streamflow variability and persistence. J. Hydrometeorol. 2005, 6, 173–179. [Google Scholar] [CrossRef]
- Luo, L.; Wood, E.F. Assessing the idealized predictability of precipitation and temperature in the NCEP Climate Forecast System. Geophys. Res. Lett. 2006. [Google Scholar] [CrossRef]
- Waliser, D.; Lau, K.; Stern, W.; Jones, C. Potential predictability of the Madden-Julian Oscillation. B. Am. Meteorol. Soc. 2003. [Google Scholar] [CrossRef]
- Lavers, D.A.; Waliser, D.E.; Ralph, F.M.; Dettinger, M.D. Predictability of horizontal water vapor transport relative to precipitation: Enhancing situational awareness for forecasting Western US extreme precipitation and flooding. Geophys. Res. Lett. 2016, 43, 2275–2282. [Google Scholar] [CrossRef]
- Kumar, A.; Peng, P.; Chen, M. Is there a relationship between potential and actual skill? Mon. Weather Rev. 2014, 142, 2220–2227. [Google Scholar] [CrossRef]
- Cordero, E.C.; Kessomkiat, W.; Abatzoglou, J.; Mauget, S.A. The identification of distinct patterns in California temperature trends. Clim. Change 2011, 108, 357–382. [Google Scholar] [CrossRef]
- MacDonald, G.M. Water, climate change, and sustainability in the southwest. Proc. Natl. Acad. Sci. USA 2010, 107, 21256–21262. [Google Scholar] [CrossRef] [PubMed]
- Walsh, J.; Wuebbles, D.; Hayhoe, K.; Kossin, J.; Kunkel, K.; Stephens, G.; Thorne, P.; Vose, R.; Wehner, M.; Willis, J. Ch. 2: Our changing climate. In Climate Change Impacts in the United States: The Third National Climate Assessment; Melillo, J.M., Yohe, G.W., Eds.; US Global Change Research Program: Washington, DC, USA, 2014; pp. 19–67. [Google Scholar]
- Kunkel, K.; Stevens, L.; Stevens, S.; Sun, L.; Janssen, E.; Wuebbles, D.; Kruk, M.; Thomas, D.; Shulski, M.; Umphlett, N. Regional climate trends and scenarios for the US national climate assessment: Part 4. Climate of the US great plains. NOAA Tech. Report NESDIS 2013, 142, 91. [Google Scholar]
- Das, T.; Dettinger, M.D.; Cayan, D.R.; Hidalgo, H.G. Potential increase in floods in California’s sierra Nevada under future climate projections. Clim. Change 2011, 109, 71–94. [Google Scholar] [CrossRef]
- Tebaldi, C.; Hayhoe, K.; Arblaster, J.M.; Meehl, G.A. Going to the extremes. Clim. Change 2006, 79, 185–211. [Google Scholar] [CrossRef]
- Yoon, J.H.; Wang, S.S.; Gillies, R.R.; Kravitz, B.; Hipps, L.; Rasch, P.J. Increasing water cycle extremes in California and in relation to ENSO cycle under global warming. Nat. Commun. 2015. [Google Scholar] [CrossRef] [PubMed]
- Groisman, P.Y.; Knight, R.W.; Karl, T.R.; Easterling, D.R.; Sun, B.; Lawrimore, J.H. Contemporary changes of the hydrological cycle over the contiguous United States: Trends derived from in situ observations. J. Hydrometeorol. 2004, 5, 64–85. [Google Scholar] [CrossRef]
- Knowles, N.; Dettinger, M.D.; Cayan, D.R. Trends in snowfall versus rainfall in the Western United States. J. Clim. 2006, 19, 4545–4559. [Google Scholar] [CrossRef]
- Berg, N.; Hall, A. Increased interannual precipitation extremes over California under climate change. J. Clim. 2015. [Google Scholar] [CrossRef]
- Wang, J.; Zhang, X. Downscaling and projection of winter extreme daily precipitation over North America. J. Clim. 2008, 21, 923–937. [Google Scholar] [CrossRef]
Watershed Name | ID | Drainage Area (km2) | Median Elevation (m) | Annual Precipitation (mm) | Annual Temperature (°C) | Runoff | ||
---|---|---|---|---|---|---|---|---|
April-July (AJ, 109 m3) | Annual (A, 109 m3) | Ratio (AJ/A) | ||||||
Upper Sacramento at Bend Bridge | SBB | 26210 | 1357 | 892 | 10.1 | 3.00 | 10.23 | 0.29 |
Feather | FTO | 9793 | 1611 | 1133 | 9.0 | 2.20 | 5.39 | 0.41 |
Yuba | YRS | 3002 | 1465 | 1626 | 10.2 | 1.25 | 2.79 | 0.45 |
American | AMF | 4974 | 1364 | 1283 | 11.0 | 1.55 | 3.22 | 0.48 |
Stanislaus | SNS | 2596 | 1640 | 1134 | 9.7 | 0.86 | 1.38 | 0.63 |
Tuolumne | TLG | 3978 | 1774 | 1067 | 8.5 | 1.47 | 2.28 | 0.64 |
Merced | MRC | 2664 | 1549 | 1008 | 9.5 | 0.75 | 1.18 | 0.64 |
San Joaquin | SJF | 4192 | 2345 | 967 | 7.1 | 1.49 | 2.14 | 0.70 |
Kings | KGF | 4325 | 2461 | 937 | 7.0 | 1.46 | 2.01 | 0.73 |
Kaweah | KWT | 1679 | 1499 | 868 | 10.6 | 0.34 | 0.53 | 0.65 |
Tule | SCC | 1020 | 1321 | 748 | 12.5 | 0.08 | 0.17 | 0.44 |
Kern | KRI | 5264 | 2182 | 595 | 7.8 | 0.54 | 0.84 | 0.65 |
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He, M.; Russo, M.; Anderson, M. Predictability of Seasonal Streamflow in a Changing Climate in the Sierra Nevada. Climate 2016, 4, 57. https://doi.org/10.3390/cli4040057
He M, Russo M, Anderson M. Predictability of Seasonal Streamflow in a Changing Climate in the Sierra Nevada. Climate. 2016; 4(4):57. https://doi.org/10.3390/cli4040057
Chicago/Turabian StyleHe, Minxue, Mitchel Russo, and Michael Anderson. 2016. "Predictability of Seasonal Streamflow in a Changing Climate in the Sierra Nevada" Climate 4, no. 4: 57. https://doi.org/10.3390/cli4040057