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, Volume 17, Issue 2, pp 245–248 | Cite as

Comments on: Assessing probabilistic forecasts of multivariate quantities, with an application to ensemble predictions of surface winds

  • Montserrat Fuentes
Discussion

Keywords

Surface Wind Minimum Span Tree Wind Vector Ensemble Forecast Probabilistic Forecast 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Foley M, Fuentes M (2008) A statistical framework to combine multivariate spatial data and physical models for hurricane surface wind prediction. J Agric Biol Environ Stat 13:37–59 CrossRefGoogle Scholar
  2. Fuentes M, Reich B, Lee G (2008) Spatial-temporal mesoscale modeling of rainfall intensity using gage and radar data. Ann Appl Stat (in press) Google Scholar
  3. Gombos D, Hansen JA, Du J, McQueen J (2007) Theory and applications of the minimum spanning tree rank histogram. Mon Weather Rev 135:1490–1505 CrossRefGoogle Scholar
  4. Reich B, Fuentes M (2007) A multivariate semiparametric Bayesian spatial modeling framework for hurricane surface wind fields. Ann Appl Stat 1:249–264 zbMATHCrossRefGoogle Scholar
  5. Smith LA (1995) Accountability and error in nonlinear forecasting. In: Proc ECMWF workshop on predictability, ECMWF, Shinfield Park, Reading, UK, pp 351–368 Google Scholar

Copyright information

© Sociedad de Estadística e Investigación Operativa 2008

Authors and Affiliations

  1. 1.Department of StatisticsNorth Carolina State UniversityRaleighUSA

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