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User Guide to ECMWF Forecast Products > Derived products from the EPS > 
Tropical cyclone diagrams Clustering  
   

Cyclone track maps

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Ensemble mean and spread charts
EPSgrams
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The Extreme Forecast Index (EFI)
Tropical cyclone diagrams
Cyclone track maps
Clustering
 
 

Through a new, feature-based approach to post-processing ECMWF is developing a suite of products that provide synoptic insights into ensemble handling. These web page products aim to represent, objectively and in a variety of ways, the location and behaviour of near-surface, synoptic-scale features, such as fronts, frontal waves, cyclonic features and cyclonic feature tracks, in the ensemble forecasts. The features represented are those typically associated with adverse weather: barotropic lows, frontal systems and frontal waves.

Co-location masking, using a feature-type hierarchy and a minimum separation threshold, helps to keep all cyclonic features 300 km or more apart. Mean sea level pressure, as estimated from 1000 hPa geopotential height and temperature, is also shown as a reference point on many plots. A tracking algorithm has been used to follow the cyclonic features as they evolve in each ensemble member. As a severe weather event approaches, the new products can indicate that there is an increasing risk of a major storm system in the area of interest, they highlight the track that the system is likely to take and they also suggest the degree of confidence that can be placed in that track (see Figure 58).

frame20m15.gif

Figure 58: A still image of EPS member 15 on 30 January 2011, 12 UTC + 228 hour forecast. Likely positions of fronts and troughs are indicated by lines and important synoptic features by filled circles.

The inherent automation should vastly reduce the amount of time forecasters need to spend analysing the ensemble and deterministic output. Since synoptic  ‘features’ have historically been used, in part, to highlight the likelihood of severe weather occurring, these products inherently focus, by proxy, on this potential (see further Hewson, 2009; Hewson and Titley, 2010).




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