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Forecast system development activities

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Presentation on theme: "Forecast system development activities"— Presentation transcript:

1 Forecast system development activities

2 Focus Improvement of the IRI Net Assessment
Large-scale, global information Seasonal averages of temperature and precipitation

3 Net Assessment: precipitation

4 Net Assessment: temperature

5 Current activities Pattern-based correction of model output.
Correct systematic errors. Calibration based on historical forecasts. Observed SST vs. forecast SST. Information beyond terciles Climatology and forecast probability density functions. New methods for weighting models.

6 NDJ temperature variability patterns (EOFs)
Model Obs. MOS 1 2

7 correlation Model MOS

8 Beyond terciles Near-Normal Below Normal Above Normal Historical distribution (climatological distribution) (33.3%, 33.3%, 33.3%) FREQUENCY Forecast distribution (15%, 32%, 53%) The uncertainty can be expressed (quantitatively) in a number of ways: 1) Probabilities of discrete events Confidence level is varied. Interval length is fixed. 2) Error bars / confidence intervals Confidence level is fixed. Interval length is varied. 3) Probability distribution on a continuous scale Breakpoints of categories are determined by historical observations. The probabilities of this distribution are the climatological probabilities. Forecast distribution (say of the ensemble members at a point, or over a region) represent a shift in the range of possibilities. Now categorical probabilities are not equal – they differ from climatology. NORMALIZED RAINFALL Tercile probabilities provide a limited description of the forecast distribution Users may require other properties of the forecast distribution.

9 DJF(Nov) t2m -- counting

10 Example 1991

11 DJF(Nov) t2m -- Bayesian

12 DJF(Nov) t2m – pattern “CPT”

13 DJF(Nov) t2m – pattern “honest”

14 Example 1991

15 DJF(Nov) t2m – pattern “new”

16 Example 1991

17 Flexible format map room

18 Flexible format map room

19 Parametric pdfs Gaussian for seasonal temperature
Power transformed Gaussian (Box-Cox) for seasonal precipitation

20 No skew

21 Some skew

22 More skew

23 Future work Add precipitation forecasts to flexible map room.
Improved multi-model weights NOAA funded proposal with COLA/GMU and CPC.


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