This paper was funded in part by a grant/cooperative agreement from the National Oceanic and Atmospheric Administration (NOAA). The views expressed herein are those of the authors and do not necessarily reflect the views of NOAA or any of its subagencies. The comments of two anonymous referees were of considerable value.
Doswell, C. A., III, R. Davies-Jones, and D. L. Keller, 1990: On summary measures of skill in rare event forecasting based on contingency tables. Wea. Forecasting,5, 576–585.
Gandin, L. S., and A. H. Murphy, 1992: Equitable skill scores for categorical forecasts. Mon. Wea. Rev.,120, 361–370.
Hanley, J. A., 1998: The robustness of the “binormal” assumptions used in fitting ROC curves. Med. Decis. Making,8, 197–203.
Harvey, L. O., K. R. Hammond, C. M. Lusk, and E. F. Mross, 1992:The application of signal detection theory to weather forecasting behavior. Mon. Wea. Rev.,120, 863–883.
Hsu, W., and A. H. Murphy, 1986: The attributes diagram: A geometrical framework for assessing the quality of probability forecasts. Int. J. Forecasting,2, 285–293.
Hulme, M. H., 1992: A 1951–80 global land precipitation climatology for the evaluation of general circulation models. Climate Dyn.,7, 57–72.
——, 1982: A model for assessment of weather forecasts. Aust. Meteor. Mag.,30, 291–303.
Murphy, A. H., and R. L. Winkler, 1987: A general framework for forecast verification. Mon. Wea. Rev.,115, 1330–1338.
Mutai, C. C., M. N. Ward, and A. W. Colman, 1998: Towards the prediction of the East Africa short rains based on sea-surface temperature-atmosphere coupling. Int. J. Climatol.,18, 975–997.
Panofsky, H. A., and G. W. Brier, 1968: Some Applications of Statistics to Meteorology. The Pennsylvania State University, 224 pp.
Schaefer, J. T., 1990: The critical success index as an indicator of warning skill. Wea. Forecasting,5, 570–575.
Stanski, H. R., L. J. Wilson, and R. Burrows, 1989: Survey of common verification methods in meteorology. WWW Tech. Rep. 8, WMO/TD 358, 114 pp.
Ward, M. N., and C. K. Folland, 1991: Prediction of seasonal rainfall in the north Nordeste of Brazil using eigenvectors of sea-surface temperatures. Int. J. Climatol.,11, 711–743.
Wilks, D. S., 1995: Statistical Methods in the Atmospheric Sciences. Academic Press, 467 pp.