Skip to main content
Log in

Agricultural Value of ENSO Information under Alternative Phase Definition

  • Published:
Climatic Change Aims and scope Submit manuscript

Abstract

The El Niño-Southern Oscillation (ENSO) effect has been found to be associated with regional climate variations in many regions of the world, and, in turn, with variation in crop yields. Previous studies have found that early releases of ENSO phase information could permit agricultural producers to make adjustments in their decisions and in turn generate an increase in agricultural sector welfare. This study examines whether the value of the agricultural responses can be enhanced by releasing more detailed ENSO information. Namely we evaluate the implications for projected agricultural welfare under release and adaptation to the Stone and Auliciems five phase definition of ENSO states as opposed to the more standard three phase definition. This value is estimated using a stochastic, U.S./global agricultural model representing 22 climate years. The results indicate that the release and exploitation of the more detailed ENSO phase definition almost doubles the welfare impact. The results also indicate that there is room for up to another doubling of information value through further refinements.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Adams, R. M., Bryant, K. J., McCarl, B. A., Legler, D. M., O'Brien, J. J., Solow, A. R., and Weiher, R.: 1995, 'Value of Improved Long Range Weather Information', Contemp. Econ. Pol. 13, 10-19.

    Google Scholar 

  • Bjerknes, J.: 1966, 'A Possible Response of Hadley Circulation to Equatorial Anomalies of Ocean Temperature', Tellus 18, 820-829.

    Google Scholar 

  • Bjerknes, J.: 1969, 'Atmospheric Teleconnections from the Equatorial Pacific', Mon. Wea. Rev. 97, 163-172.

    Google Scholar 

  • Chang, C. C., McCarl, B. A., Mjelde, J. W., and Richardson, J.: 1992, 'Sectoral Implication of Farm Program Modifications', Amer. J. Agric. Econ. 74, 38-49.

    Google Scholar 

  • Chen, C. C. and McCarl, B. A.: 2000, 'The Value of ENSO Information: Consideration of Uncertainty and Trade', J. Agric. Resour. Econ. 25, 368-385.

    Google Scholar 

  • Climate Prediction Center: 2001, El Niño (ENSO) — Cold and Warm Episodes by Season, National Oceanographic and Atmospheric Agency, http://www.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ensoyears.html, Washington, D.C.

    Google Scholar 

  • Hammer, G.: 1994, 'The Use of Seasonal Forecasts in Crop Management', Agric. Syst. Information Technol. 6, 42-44.

    Google Scholar 

  • Hill, H. S., Mjelde, J., Rosenthal, W., and Lamb, P. J.: 1998, 'The Potential Impacts of the Use of Southern Oscillation Information on the Texas Aggregate Sorghum Production', J. Climate 12, 519-530.

    Google Scholar 

  • Hill, H. S., Park, J., Mjelde, J. W., Rosenthal, W., Love, H. A., and Fuller, S. W.: 2000, 'Comparing the Value of Southern Oscillation Index Based Climate Forecast Methods for Canadian and U.S. Wheat Producers', Agric. For. Meteorol. 100, 261-272.

    Google Scholar 

  • Lambert, D. K., McCarl, B. A., He, Q., Kaylen, M. S., Rosenthal, W., Chang, C. C., and Nayda, W. I.: 1995, 'Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming', J. Agric. Appl. Econ. 27, 423-435.

    Google Scholar 

  • Legler, D. M., Bryant, K. J., and O'Brien, J. J.: 1999, 'Impact of ENSO Related Climate Anomalies on Crop Yields in the U.S.', Clim. Change 42, 351-375.

    Google Scholar 

  • McCarl, B. A., Chang, C. C., Atwood, J. D., and Nayda, W. I.: 2001, 'Documentation of ASM: The U.S. Agricultural Sector Model', http://agecon.tamu.edu/faculty/mccarl/asm.htm, Unpublished Report, Texas A&M University.

  • McCarl, B. A. and Spreen, T. H.: 1980, 'Price Endogenous Mathematical Programming as a Tool for Sector Analysis', Amer. J. Agric. Econ. 62, 87-102.

    Google Scholar 

  • Mjelde, J. W., Hill, H. S., and Griffiths, J. F.: 1998, 'A Review of Current Evidence of Climate Forecasts and their Economic Effects in Agriculture', Amer. J. Agric. Econ. 80, 1089-1095.

    Google Scholar 

  • Mjelde, J.W. and Keplinger, K. O.: 1998, 'Using the Southern Oscillations to Forecast Texas Winter Wheat and Sorghum Crop Yields', J. Climate 11, 54-60.

    Google Scholar 

  • Mjelde, J. W., Penson, J. B., and Nixon, C. J.: 1997b, Dynamic Aspects of the Impact of the Use of Improved Climate Forecasts in the Corn Belt Region, Final Report, Office of Global Programs, National Oceanic and Atmospheric Administration, Washington D.C.

    Google Scholar 

  • Mjelde, J. W., Thompson, T. N., Hons, F. M., Cothern, J. T., and Coffman, C. G.: 1997a, 'Using Southern Oscillation Information for Determining Corn and Sorghum Profit Maximizing Input Levels', J. Product. Agric. 10, 168-175.

    Google Scholar 

  • Montroy, D. L., Richman, M. B., and Lamb, P. J.: 1998, 'Observed Nonlinearities of Monthly Teleconnections Between Tropical Pacific Sea Surface Temperature Anomalies and Central and Eastern North American Precipitation', J. Climate 11, 1812-1835.

    Google Scholar 

  • Nicholls, N.: 1986, 'Use of the Southern Oscillation to Predict Australian Sorghum Yield', Agric. For. Meteorol. 38, 9-15.

    Google Scholar 

  • Norton, R. D. and Schiefer, G. W.: 1980, 'Agricultural Sector Programming Models: A Review', Europ. Rev. Agric. Econ. 7, 229-264.

    Google Scholar 

  • Queensland Centre for Climate Applications: 2001, 'Long Paddock Web Page', www.dnr.qld.gov.au/longpdk/.

  • Ropelewski, C. F. and Halpert, M. S.: 1989, 'Precipitation Patterns Associated with the High Index Phase of the Southern Oscillation', J. Climate 2, 268-284.

    Google Scholar 

  • Ropelewski, C. F. and Halpert, M. S.: 1997, 'Global and Regional Scale Precipitation and Temperature Patterns Associated with the El Niño/Southern Oscillation', Mon. Wea. Rev. 115, 1606-1626.

    Google Scholar 

  • Samuelson, P. A.: 1952, 'Spatial Price Equilibrium and Linear Programming', Amer. Econ. Rev. 42, 283-303.

    Google Scholar 

  • Solow, A. R., Adams, R. M., Bryant, K. J., Legler, D. M., O'Brien, J. J., McCarl, B. A., Nayda, W. I., and Weiher, R.: 1998, 'The Value of Improved ENSO Prediction to U.S. Agriculture', Clim. Change 39, 47-60.

    Google Scholar 

  • Stone, R. C. and Auliciems, A.: 1992, 'SOI Phase Relationships with Rainfall in Eastern Australia', Int. J. Clim. 12, 625-636.

    Google Scholar 

  • Stone, R. C., Hammer, G. L., and Marcussen, T.: 1996, 'Prediction of Global Rainfall Probabilities Using Phases of the Southern Oscillation Index', Nature 384, 252-255.

    Google Scholar 

  • Takayama, T. and Judge, G. G.: 1971, Spatial and Temporal Price and Allocation Models, North-Holland Publishing Company.

  • United States Department of Agriculture: 1950-1996, Agricultural Statistics various issues, Washington D.C.

  • Walker, G. T.: 1924, 'Correlation in Seasonal Variations of Weather, IX: A Further Study of World Weather', Indian Meteorol. 24, 275-332.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, CC., McCarl, B. & Hill, H. Agricultural Value of ENSO Information under Alternative Phase Definition. Climatic Change 54, 305–325 (2002). https://doi.org/10.1023/A:1016160218221

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1016160218221

Keywords

Navigation