References

HESS

Hydrology and Earth System Sciences

HESS

Hydrol. Earth Syst. Sci.

1607-7938

Copernicus Publications

Göttingen, Germany

10.5194/hess-15-1355-2011

Tailoring seasonal climate forecasts for hydropower operations

Block

International Research Institute for Climate and Society, Columbia University, Palisades, New York, USA

29 04 2011

15 4 1355 1368

2011

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The full text article is available as a PDF file from https://hess.copernicus.org/articles/15/1355/2011/hess-15-1355-2011.pdf

Integration of seasonal precipitation forecasts into water resources operations and planning is practically nonexistent, even in regions of scarcity. This is often attributable to water manager's tendency to act in a risk averse manner, preferring to avoid consequences of poor forecasts, at the expense of unrealized benefits. Convincing demonstrations of forecast value are therefore desirable to support assimilation into practice. A dynamically linked system, including forecast, rainfall-runoff, and hydropower models, is applied to the upper Blue Nile basin in Ethiopia to compare benefits and reliability generated by actual forecasts against a climatology-based approach, commonly practiced in most water resources systems. Processing one hundred decadal sequences demonstrates superior forecast-based benefits in 68 cases, a respectable advancement, however benefits in a few forecast-based sequences are noticeably low, likely to dissuade manager's adoption. A hydropower sensitivity test reveals a propensity toward poor-decision making when forecasts over-predict wet conditions. Tailoring the precipitation forecast to highlight critical dry forecasts minimizes this inclination, resulting in 97% of the sequences favoring the forecast-based approach. Considering managerial risk preferences for the system, even risk-averse actions, if coupled with forecasts, exhibit superior benefits and reliability compared with risk-taking tendencies conditioned on climatology.

References 1

Axel, J., and Céron, J. P.: Elements for Life, J. Griffiths, Ed., Tudor Rose, London, 70–71, 2007.

Barnston, A. G., van den Dool, H. M., Rodenhuis, D. R., Ropelewski, C. R., Kousky, V. E., O'Lenic, E. A., Livezey, R. E., Zebiak, S. E., Cane, M. A., Barnett, T. P., Graham, N. E., Ji, M., and Leetmaa, A.: Long-Lead Seasonal Forecasts – Where Do We Stand?, B. Am. Meteorol. Soc., 75, 2097–2114, 1994.

Barnston, A. G., Kumar, A., Goddard, L., and Hoerling, M. P.: Improving seasonal prediction practices through attribution of climate variability, B. Am. Meteorol. Soc., 86(1), 59–72, 2005.

Block, P. and Strzepek, K.: Economic Analysis of Large-scale Upstream River Basin Development on the Blue Nile in Ethiopia Considering Transient Conditions, Climate Variability, and Climate Change, J. Water Res. Pl.-ASCE, 136(2), 156–166, 2010.

Block, P. and Rajagopalan, B.: Interannual Variability and Ensemble Forecast of Upper Blue Nile Basin Kiremt Season Precipitation, J. Hydrometeorol., 8(3), 327–343, 2007.

Block, P., Strzepek, K., Rosegrant, M., and Diao, X.: Impacts of Considering Climate Variability on Investment Decisions in Ethiopia, J. Agr. Econ., 39, 171–181, 2008.

Bodo, B.: Monthly Discharge Data for World Rivers, <a href="http://dss.ucar.edu/datasets/ds552.1">http://dss.ucar.edu/datasets/ds552.1</a> (last access: June 2005), 2001.

Broad, K., Pfaff, A., Taddei, R., Sankarasubramanian, A., Lall, U., and Souza Filho, F. A.: Climate, stream flow prediction and water management in northeast Brazil: societal trends and forecast value, Climatic Change, 84(2), 217–239, 2007.

Bureau of Reclamation: US Department of Interior, Land and Water Resources of Blue Nile Basin, Ethiopia, Main Report and Appendices I–V, Government Printing Office, Washington, DC, 1964.

Chiew, F. H. S., Zhou, S. L., and McMahon, T. A.: Use of seasonal streamflow forecasts in water resources management, J. Hydrol., 270(1–2), 135–144, 2003.

Central Intelligence Agency – CIA: The World Factbook, CIA, Washington, DC, 2006.

Craven, P. and Wahba, G.: Smoothing noisy data with spline functions, J. Numer. Math., 31, 377–403, 1979.

Dai, A., Trenberth, K., and Qian, T.: A global data set of Palmer Drought Severity Index for 1870–2002: Relationship with soil moisture and effects of surface warming, J. Hydrometeorol., 5, 1117–1130, 2004.

Datta, B. and Burges, S. J.: Short-term, single, multiple purpose reservoir operation: Importance of loss function and forecast errors, Water Resour. Res., 20(9), 1167–1176, 1984.

Datta, B. and Houck, M. H.: A stochastic optimization model for real-time operation of reservoirs using uncertain forecasts, Water Resour. Res., 20(8), 1039–1046, 1984.

Draper, A.: Implicit Stochastic Optimization with Limited Foresight for Reservoir Systems, Ph.D. Dissertation, University of California – Davis, 2001.

Faber, B. A. and Stedinger, J. R.: Reservoir optimization using sampling SDP with ensemble streamflow prediction (ESP) forecasts, J. Hydrol., 249(1–4), 113–133, 2001.

FAO – Food and Agriculture Oranization of the UN Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements, FAO Irrigation and Drainage Paper No. 56, Food and Agriculture Organization of the United Nations, Rome, 300 pp., 1998.

Hamlet, A. F., Huppert, D., and Lettenmaier, D. P.: Economic value of long-lead streamflow forecasts for Columbia River hydropower, J. Water Res. Pl.-ASCE, 128(2), 91–101, 2002.

Hellmuth, M. E., Moorhead, A., Thomson, M. C., and Williams, J.: Climate Risk Management in Africa: Learning from Practice, International Research Institute for Climate and Society (IRI), Columbia University, New York, 104 pp., 2007.

Helsel, D. and Hirsch, R., Statistical methods in water resources, Elsevier Science, Amsterdam, 1995.

Goddard, L., Barnston, A. G., and Mason, S. J.: Evaluation of the IRI's "net assessment" seasonal climate forecasts: 1997–2001, B. Am. Meteorol. Soc., 84, 1761–1781, <a href="http://dx.doi.org/10.1175/BAMS-84-12-1761">https://doi.org/10.1175/BAMS-84-12-1761</a>, 2003.

Grantz, K., Rajagopalan, B., Clark, M., and Zagona, E.: Seasonal Shifts in the North American Monsoon, J. Climate, 20(9), 1923–1935, 2005.

Jabbar, M., Pender, J., and Ehui, S.: Policies for sustainable land management in the highlands of Ethiopia: Summary of papers and proceedings of a seminar held at ILRI, Addis Ababa, Ethiopia, 22–23 May 2000, Socio-economics and Policy Research Working Paper 30, ILRI – International Livestock Research Institute, Nairobi, Kenya, 2000.

Johnston, P. A., Ziervogel, G., and Matthew, M.: The uptake and usefulness of weather and climate information among water resource managers, Papers Appl. Geog. Conf. 30, 380–389, 2007.

Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K. C., Ropelewski, C., Wang, J., Leetmaa, A., Reynolds, R., Jenne, R., and Joseph, D.: The NCEP/NCAR reanalysis 40-year project, B. Am. Meteorol. Soc., 77, 437–471, 1996.

Karamouz, M. and Vasiliadis, H.: Bayesian stochastic optimization of reservoir operation using uncertain forecasts, Water Resour. Res., 28(5), 1221–1232, 1992.

Kim, Y.-O. and Palmer, R.: Value of seasonal flow forecasts in Bayesian stochastic programming, J. Water Res. Pl.-ASCE, 123(6), 327–335, 1997.

Lemos, M. C.: What Influences Innovation Adoption by Water Managers? Climate Information Use in Brazil and the United States, J. Am. Water Resour. Assoc., 44(6), 1388–1396, 2008.

Loader, C.: Local Regression Likelihood, Springer, New York, 1999.

Loucks, D. P., Stedinger, J. R., and Haith, D. A.: Water resources systems planning and analysis, Prentice-Hall, Englewood Cliffs, NJ, 1981.

Marino, M. A. and Loaiciga, H. A.: Dynamic model for multireservoir operation, Water Resour. Res., 21(5), 619–630, 1985a.

Marino, M. A. and Loaiciga, H. A.: Quadratic model for reservoir management: Application to the Central Valley Project, Water Resour. Res., 21(5), 631–641, 1985b.

Maurer, E. P. and Lettenmaier, D. P.: Potential Effects of Long-Lead Hydrologic Predictability on Missouri River Main-Stem Reservoirs, J. Climate, 17, 174–186, 2004.

McCartney, M. P.: Decision support systems for large dam planning and operations in Africa, IWMI Working Paper 119, International Water Management Institute, Colombo, Sri Lanka, 47 pp., 2007.

Millner, A.: What Is the True Value of Forecasts?, Weather Clim. Soc., 1, 22–37, 2009.

Mitchell, T. and Jones, P.: An improved method of constructing a database of monthly climate observations and associated high-resolution grids, Int. J. Climatol., 25, 693–712, 2005.

Mjelde, J.: Value of Improved Information in Agriculture: Weather and Climate Forecasts, Paper for the Southern Region Information Exchange Group-10 annual meeting, Huntsville, AL, 20–21 May, 32 pp., 1999.

MoFED – Ministry of Finance and Economic Development Ethiopia: Status Report on the Brussels Programme of Action for Least Developed Countries, Addis Ababa, Ethiopia, <a href="www.un.org/special-rep/ohrlls/ldc/MTR/Ethiopia.pdf">www.un.org/special-rep/ohrlls/ldc/MTR/Ethiopia.pdf</a> (last access: March 2010), 2006.

O'Connor, R. E., Yarna, B., Dow, K., Jocoy, C., and Carbone, G.: Feeling at Risk Matters: Water Managers and the Decision to Use Forecasts, Risk Anal., 25(5), 1265–1275, 2005.

Pagano, T., Hartmann, H., and Sorooshian, S.: Using climate forecasts for water management: Arizona and the 1997–1998 El Niño, J. Am. Water Resour. Assoc., 37(5), 1139–1153, 2001.

Patt, A. G., Ogallo, L., and Hellmuth, M.: Learning from ten years of climate outlook forums in Africa, Science, 318, 49–50, 2007.

Pulwarty, R. and Redmond, K.: Climate and Salmon Restoration in the Columbia River Basin: The Role and Usability of Seasonal Forecasts, B. Am. Meteorol. Soc., 78(3), 381–397, 1997.

Rayner, S., Lach, D., and Ingram, H.: Weather forecasts are for wimps: Why water resource managers do not use climate forecasts, Climatic Change, 69(2–3), 197–227, 2005.

Ritchie, J. W., Zammit, C., and Beal, D.: Can seasonal climate forecasting assist in catchment water management decision-making?: A case study of the Border Rivers catchment in Australia, Agr. Ecosyst. Environ., 104(3), 553–565, 2004.

Sankarasubramanian, A., Lall, U., Souza Filho, F. A., and Sharma, A.: Improved water allocation utilizing probabilistic climate forecasts: Short-term water contracts in a risk management framework, Water Resour. Res., 45, W11409, <a href="http://dx.doi.org/10.1029/2009WR007821">https://doi.org/10.1029/2009WR007821</a>, 2009.

Shahin, M.: Hydrology of the Nile Basin, Elsevier Science, Amsterdam, The Netherlands, 1985.

Singhrattna, N., Rajagopalan, B., Clark, M., and Krishna Kumar, K.: Forecasting Thailand summer monsoon rainfall, Int. J. Climatol., 25, 649–664, 2005.

Stedinger, J. R., Sule, B. F., and Loucks, D. P.: Stochastic dynamic programming models for reservoir optimization, Water Resour. Res., 20(11), 1499–1505, 1984.

Steenhuis, T. S., Collick, A. S., Easton, Z. M., Leggesse, E. S., Bayabil, H. K., White, E. D., Awulachew, S. B., Adgo, E., and Ahmed, A. A.: Predicting discharge and sediment for the Abay (Blue Nile) with a simple model, Hydrol. Process., 23, 3728–3737, 2009.

Sutcliffe, J. and Parks, Y.: The hydrology of the Nile, IAHS Press, Wallingford, Oxfordshire, UK, 1999.

Tegenu, A.: Statement at the Fourteenth Commission on Sustainable Development, United Nations, New York, <a href="www.un.org/esa/sustdev/csd/csd14/statements/ethiopia_11may.pdf">www.un.org/esa/sustdev/csd/csd14/statements/ethiopia_11may.pdf</a> (last access: March 2010), 2006.

Thomson Gale Encyclopedia of the Nations – Africa: Thomson Corporation, Farmington Hills, MI, USA, 2006.

WCD – World Commission on Dams, Dams and Development: A New Framework for Decision-making, Earthscan Publications Ltd., London, 404 pp., 2000.

World Energy Council, 2007: Survey of Energy Resources, World Energy Council, London, 586 pp., 2007.

Yao, H. and Georgakakos, A.: Assessment of Folsom Lake response to historical and potential future climate scenarios: 2. Reservoir management, J. Hydrol., 249(1–4), 176–196, 2001.

Yates, D.: WatBal: An Integrated Water Balance Model for Climate Impact Assessment of River Basin Runoff, Int. J. Water Resour. D., 12(2), 121–139, 1996.

Yates, D. and Strzepek, K.: Modeling the Nile basin under climate change, J. Hydrol. Eng., 3, 98–108, 1998.

Yeh, W. W.-G., Becker, L., and Zettlemoyer, R.: Worth of inflow forecast for reservoir operation, J. Water Res. Pl.-ASCE, 108(3), 257–269, 1982.

Ziervogel, G., Johnston, P., Matthew, M., and Mukheibir, P.: Using climate information for supporting climate change adaptation in water resource management in South Africa, Climatic Change, 103(3–4), 537–544, 2010.