Skip to main content
Log in

The effect of changes in daily and interannual climatic variability on CERES-Wheat: A sensitivity study

  • Published:
Climatic Change Aims and scope Submit manuscript

Abstract

We investigate the effect of changes in daily and interannual variability of temperature and precipitation on yields simulated by the CERES-Wheat model at two locations in the central Great Plains. Changes in variability were effected by adjusting parameters of the Richardson daily weather generator. Two types of changes in precipitation were created: one with both intensity and frequency changed; and another with change only in persistence. In both types mean total monthly precipitation is held constant. Changes in daily (and interannual) variability of temperature result in substantial changes in the mean and variability of simulated wheat yields. With a doubling of temperature variability, large reductions in mean yield and increases in variability of yield result primarily from crop failures due to winter kill at both locations. Reduced temperature variability has little effect. Changes in daily precipitation variability also resulted in substantial changes in mean and variability of yield. Interesting interactions of the precipitation variability changes with the contrasting base climates are found at the two locations. At one site where soil moisture is not limiting, mean yield decreased and variability of yield increased with increasing precipitation variability, whereas mean yields increased at the other location, where soil moisture is limiting. Yield changes were similar for the two different types of precipitation variability change investigated. Compared to an earlier study for the same locations wherein variability changes were effected by altering observed time series, and the focus was on interannual variability, the present results for yield changes are much more substantial. This study demonstrates the importance of taking into account change in daily (and interannual) variability of climate when analyzing the effect of climate change on crop yields.

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

  • Anderson, J. R. and Hazell, P. B.R. (eds.): 1989, Variability in Grain Yields, Johns Hopkins University Press, Baltimore, 395 pp.

    Google Scholar 

  • Cao, H. X., Mitchell, J. F. B., and Lavery, J. R.: 1992, ‘Simulated Diurnal Range and Variability of Surface Temperature in a Global Climate Model for Present and Doubled CO2’, J. Climate 5, 920–943.

    Google Scholar 

  • Eder, B. K., Truppi, L. E., and Finkelstein, P. L.: 1989, A Climatology of Temperature and Precipitation Variability in the United States, U.S. EPA Project Report, Atmospheric Research and Exposure Assessment Laboratory, Research Triangle Park, NC, 43 pp.

    Google Scholar 

  • Gibbons, J. D.: 1985, Nonparametric Statistical Inference, Marcel Dekker Inc., New York, 408 pp.

    Google Scholar 

  • Gordon, H. B., Whetton, P. H., Pittock, A. B., Fowler, A. M., and Haylock, M. R.: 1992, ‘Simulated Changes in Daily Rainfall Intensity Due to the Enhanced Greenhouse Effect: Implications for Extreme Rainfall Events’, Climate Dynamics 8, 83–102.

    Google Scholar 

  • Hodges, Tom: 1991, Predicting Crop Phenology, CRC Press, Boca Raton, 233 pp.

    Google Scholar 

  • Johnson, G. L., Hanson, C. L., and Ballard, E. B.: 1996, ‘Stochastic Weather Simulation: Overview and Analysis of Two Commonly Used Models’, J. Appl. Meteorol., in press.

  • Katz, R. W.: 1993, ‘Toward a Statistical Paradigm for Climate Change’, Climate Res. 2, 167–175.

    Google Scholar 

  • Katz, R. W.: 1996, ‘The Use of Stochastic Models to Generate Climate Change Scenarios’, Clim. Change 32, 237–255 (this issue).

    Google Scholar 

  • Katz, R. W. and Brown, B. G.: 1992, ‘Extreme Events in a Changing Climate: Variability is More Important than Averages’, Clim. Change 21, 289–302.

    Google Scholar 

  • Mearns, L. O.: 1989, ‘The Simulation of Meteorological Time Series for Climate Change Scenario Development’, Paper presented at the U.S. EPA Meeting on Climate Change Scenario Development at Boulder, 31 August, 1989. (Summarized in Scenarios Advisory Meeting Summary Report, December 1989, U.S. EPA, Washington, DC).

    Google Scholar 

  • Mearns, L. O.: 1995, ‘Research Issues in Determining the Effects of Changing Climatic Variability on Crop Yields’, in Rosenzweig, C. (ed.), Climate Change and Agriculture: Analysis of Potential International Impacts, American Society of Agronomy Special Publication No. 58, ASA, Madison WI, chap. 6, pp. 123–143.

    Google Scholar 

  • Mearns, L. O. and Rosenzweig, C.: 1994, ‘Use of a Nested Regional Climate Model with Changed Daily Variability of Precipitation and Temperature to Test Related Sensitivity of Dynamic Crop Models’, in Preprints of the AMS Fifth Symposium on Global Change Studies, January 23–28, 1994, American Meteorological Society, Boston, pp. 142–155.

    Google Scholar 

  • Mearns, L. O., Rosenzweig, C., and Goldberg, R.: 1992, ‘The Effect of Changes in Interannual Climatic Variability on CERES-Wheat Yields: Sensitivity and 2×CO2 Studies’, J. Agricul. Forest Meteorol. 62, 159–189.

    Google Scholar 

  • Mearns, L. O., Giorgi, F., Shields Brodeur, C., and McDaniel, L.: 1995a, ‘Analysis of the Variability of Daily Precipitation in a Nested Modeling Experiment: Comparison with Observations and 2×CO2 Results’, Global and Planetary Change 10, 55–78.

    Google Scholar 

  • Mearns, L. O., Giorgi, F., Shields, C., and McDaniel, L.: 1995b, ‘Analysis of the Diurnal Range and Variability of Daily Temperature in a Nested Modeling Experiment: Comparison with Observations and 2×CO2 Results’, Climate Dynamics 11, 193–209.

    Google Scholar 

  • Mendelsohn, R., Nordhaus, W. D., Shaw, D.: 1994, ‘The Impact of Global Warming on Agriculture: A Ricardian Analysis’, Amer. Econ. Rev. 84, 753–771.

    Google Scholar 

  • Otter-Nacke, S., Goodwin, D. C., and Ritchie, J. T.: 1986, Testing and Validating the CERES-Wheat Model in Diverse Environments, AGRISTARS YM-15–00407 JSC 20244, Johnson Space Center, Houston.

    Google Scholar 

  • Priestley, C. H. B. and Taylor, R. J.: 1972, ‘On the Assessment of Surface Heat and Evaporation Using Large-Scale Parameters’, Mon. Wea. Rev. 100, 81.

    Google Scholar 

  • Riha, S. J., Wilks, W., and Simoens, P.: 1996, ‘Impact of Temperature and Precipitation Variability on Crop Model Predictions’, Clim. Change 32, 293–311 (this issue).

    Google Scholar 

  • Richardson, C. W.: 1981, ‘Stochastic Simulation of Daily Precipitation, Temperature, and Solar Radiation’, Water Res. Res. 17, 182–190.

    Google Scholar 

  • Richardson, C.W.: 1982, ‘Dependence Structure of Daily Temperature and Solar Radiation’, Trans. Amer. Soc. Agricul. Engineers 25, 735–739.

    Google Scholar 

  • Richardson, C. W.: 1985, ‘Weather Simulation for Crop Management Models’, Trans. Amer. Soc. Agricul. Engineers 28, 1602–1606.

    Google Scholar 

  • Ritchie, J. T. and Otter, S.: 1985, ‘Description and Performance of CERES-Wheat: A User-Oriented Wheat Yield Model’, in Willis, W. O. (ed.), ARS Wheat Yield Project, ARS-38, U.S. Department of Agriculture-Agricultural Research Service, pp. 159–175.

  • Rosenberg, N. J.: 1980, Drought in the Great Plains: Research on Impacts and Strategies, Water Resources Publications, Littleton, Co.

  • Rosenzweig, C.: 1990, ‘Crop Response to Climate Change in the Southern Great Plains: A Simulation Study’, Professional Geographer 42, 20–39.

    Google Scholar 

  • Rosenzweig, C. and Parry, M. L.: 1994, ‘Potential Impact of Climate Change on World Food Supply’, Nature 367, 133–137.

    Google Scholar 

  • Semenov, M. A. and Porter, J. R.: 1995, ‘Climatic Variability and Modelling of Crop Yields’, Agricult. Forest Meteorol 73, 265–283.

    Google Scholar 

  • Whetton, P. H., Fowler, A. M., Haylock, M. R., and Pittock, A. B.: 1993, ‘Implications of Climate Change Due to the Enhanced Greenhouse Effect on Floods and Droughts in Australia’, Clim. Change 25, 289–317.

    Google Scholar 

  • Wilks, D. S.: 1989, ‘Conditioning Stochastic Daily Precipitation Models on Total Monthly Precipitation’, Water Res. Res. 25, 1429–1439.

    Google Scholar 

  • Wilks, D. S.: 1992, ‘Adapting Stochastic Weather Generation Algorithms for Climate Change Studies’, Clim. Change 22, 67–84.

    Google Scholar 

  • Worster, D.: 1979, Dust Bowl: The Southern Plains in the 1930s, Oxford University Press, New York, 277 pp.

    Google Scholar 

  • Williams, J. R., Dyke, P. T., and Jones, C. A.: 1982, ‘EPIC - A Model for Assessing the Effects of Erosion on Soil Productivity’, Proc. Int. Conf. on State-of-the-Art in Ecol. Modelling, Colorado State Univ., May 24–28, 1982.

Download references

Author information

Authors and Affiliations

Authors

Additional information

The National Center for Atmospheric Research is sponsored by the National Science Foundation.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mearns, L.O., Rosenzweig, C. & Goldberg, R. The effect of changes in daily and interannual climatic variability on CERES-Wheat: A sensitivity study. Climatic Change 32, 257–292 (1996). https://doi.org/10.1007/BF00142465

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00142465

Keywords

Navigation