Hydrometeorological short-range ensemble forecasts in complex terrain. Part II: Economic evaluation

Weather and Forecasting

Volumn 23, Issue 4, 2008, Pages 557-574

  McCollor, Doug ^a   Stull, Roland ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 54749100843     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/2007WAF2007064.1     Document Type: Article

References (22)

1. Anderson-Berry, L., T. Keenan, J. Bally, R. Pielke Jr., R. Leigh, and D. King, 2004: The societal, social, and economic impacts of the World Weather Research Programme Sydney 2000 Forecast Demonstration Project (WWRP S2000 FDP). Wea. Forecasting, 19, 168-178.
2. Baldi, P., 2001: The Shattered Self: The End of Natural Evolution. MIT Press, 259 pp.
3. Gulliver, J. S., 1991: Hydraulic conveyance design. Hydropower Engineering Handbook, J. S. Gulliver and R. E. A. Arndt, Eds., McGraw-Hill, 5.1-5.81.
4. Hamill, T. M., S. L. Mullen, C. Snyder, Z. Toth, and D. P. Baumhefner, 2000: Ensemble forecasting in the short to medium range: Report from a workshop. Bull. Amer. Meteor. Soc., 81, 2653-2664.
5. Katz, R. W., and A. H. Murphy, 1997: Economic Value of Weather and Climate Forecasts. Cambridge University Press, 222 pp.
6. Laffont, J.-J., 1989: The Economics of Uncertainty and Information. MIT Press, 303 pp.
7. Legg, T. P., and K. R. Mylne, 2004: Early warnings of severe weather from ensemble forecast information. Wea. Forecasting, 19, 891-906;
8. Corrigendum, 22, 216-219.
9. McCollor, D., and R. Stull, 2008: Hydrometeorological shortrange ensemble forecasts in complex terrain. Part I: Meteorological evaluation. Wea. Forecasting, 23, 533-556.
10. Mullen, S. L., and R. Buizza, 2002: The impact of horizontal resolution and ensemble size on probabilistic forecasts of precipitation by the ECMWF Ensemble Prediction System. Wea. Forecasting, 17, 173-191.
11. Murphy, A. H., 1977: The value of climatological, categorical, and probabilistic forecasts in the cost-loss ratio situation. Mon. Wea. Rev., 105, 803-816.
12. Pagowski, M., and G. A. Grell, 2006: Ensemble-based ozone forecasts: Skill and economic value. J. Geophys. Res., 111, D23S30, doi:10.1029/2006JD007124.
13. Richardson, D. S., 2000: Skill and relative economic value of the ECMWF Ensemble Prediction System. Quart. J. Roy. Meteor. Soc., 126, 649-667.
14. Richardson, D. S., 2003: Economic value and skill. Forecast Verification: A Practitioner's Guide in Atmospheric Science, I. Jolliffe and D. B. Stephenson, Eds., Wiley, 164-187.
15. Roulin, E., 2007: Skill and relative economic value of medium-range hydrological ensemble predictions. Hydrol. Earth Syst. Sci., 11, 725-737.
16. Roulston, M. S., G. E. Bolton, A. N. Kleit, and A. L. Sears-Collins, 2006: A laboratory study of the benefits of including uncertainty information in weather forecasts. Wea. Forecasting, 21, 116-122.
17. Smith, L. A., M. S. Roulston, and J. von Hardenberg, 2001: End to end forecasting: Towards evaluating the economic value of the ensemble prediction system. ECMWF Tech. Rep. 336, 29 pp.
18. Stensrud, D. J., and N. Yussouf, 2003: Short-range ensemble predictions of 2-m temperature and dewpoint temperature over New England. Mon. Wea. Rev., 131, 2510-2524.
19. Thornes, J. E., and D. B. Stephenson, 2001: How to judge the quality and value of weather forecast products. Meteor. Appl., 8, 307-314.
20. U.S. Energy Information Administration, 2006: Annual electric power industry report. Form EIA-861.
21. Yuan, H., S. Mullen, X. Gao, S. Sorooshian, J. Du, and H.-M. H. Juang, 2005: Verification of probabilistic quantitative precipitation forecasts over the southwest United States during winter 2002/03 by the RSM ensemble system. Mon. Wea. Rev., 133, 279-294.
22. Zhu, Y., Z. Toth, R. Wobus, D. Richardson, and K. Mylne, 2002: The economic value of ensemble-based weather forecasts. Bull. Amer. Meteor. Soc., 83, 73-83.