Probabilistic forecasting from ensemble prediction systems: Improving upon the best-member method by using a different weight and dressing kernel for each member-Reference-Cited by-同舟云学术

Probabilistic forecasting from ensemble prediction systems: Improving upon the best-member method by using a different weight and dressing kernel for each member

Published:2006-04-01 Issue:617 Volume:132 Page:1349-1369
ISSN:0035-9009
Container-title:Quarterly Journal of the Royal Meteorological Society
language:en
Short-container-title:Q. J. R. Meteorol. Soc.

Author:

Fortin Vincent,Favre Anne-Catherine,Saïd Mériem

Publisher

Wiley

Subject

Atmospheric Science

Reference23 articles.

1. A Comparison of the ECMWF, MSC, and NCEP Global Ensemble Prediction Systems

2. The Schaake Shuffle: A Method for Reconstructing Space–Time Variability in Forecasted Precipitation and Temperature Fields

3. Quantitative precipitation forecasting

4. The worth of hydrologic data for nonoptimal decision making

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