Skill prediction of local weather forecasts based on the ECMWF ensemble

Nonlinear Processes in Geophysics

Volumn 8, Issue 6, 2001, Pages 419-428

  Ziehmann, C ^a  

^a RISK MANAGEMENT SOLUTIONS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING METHOD; TEMPERATURE; WEATHER FORECASTING; WIND VELOCITY;

EID: 0035718367     PISSN: 10235809     EISSN: None     Source Type: Journal    
DOI: 10.5194/npg-8-419-2001     Document Type: Article

References (27)

1. Tubing: An alternative to clustering for EPS classification
2. The relationship between spread and error in extended range forecasts
3. Validation of a skill prediction method
4. Potential forecast skill of ensemble prediction and spread and skill distributions of the ECMWF ensemble prediction system
5. Predictability experiments with persistence forecasts in a red noise atmosphere
6. The quality of skill forecasts for low-order spectral model
7. A system simulation approach to ensemble prediction
8. The ECMWF ensemble prediction system: Methodology and validation
9. Skill assessment for ENSO using ensemble prediction
10. What is a good forecast? An essay on the nature of goodness in weather forecasting
11. Accountability and error in ensemble forecasting
12. The maintenance of uncertainty
13. Karl Popper and the accountability of numerical forecasting
14. Forecasting forecast skill
15. Estimation of atmospheric predictability by circulation analogs
16. Intercomparison of circulation similarity measures
17. Ensemble forecasting at NMC: The generation of perturbations
18. On the ability of ensembles to distinguish between forecasts with small and large uncertainty
19. Forecasting forecast skill, probability forecasting, and the plausibility of model produced flow
20. The relationship between ensemble spread and ensemble mean skill
21. Comparison of a single-model eps with a multi-model ensemble consisting of a few operational models