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Forecast system development activities
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Focus Improvement of the IRI Net Assessment
Large-scale, global information Seasonal averages of temperature and precipitation
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Net Assessment: precipitation
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Net Assessment: temperature
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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.
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NDJ temperature variability patterns (EOFs)
Model Obs. MOS 1 2
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correlation Model MOS
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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.
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DJF(Nov) t2m -- counting
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Example 1991
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DJF(Nov) t2m -- Bayesian
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DJF(Nov) t2m – pattern “CPT”
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DJF(Nov) t2m – pattern “honest”
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Example 1991
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DJF(Nov) t2m – pattern “new”
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Example 1991
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Flexible format map room
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Flexible format map room
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Parametric pdfs Gaussian for seasonal temperature
Power transformed Gaussian (Box-Cox) for seasonal precipitation
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No skew
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Some skew
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More skew
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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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