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To ensure synoptic consistency, each individual ensemble member must belong to the same cluster throughout the lead-time window. For two members to be assigned to the same cluster, they must display similar synoptic 500hPa development over the whole time window. However, weak gradients in 500hPa forecasts can lead to synoptically rather different members being assigned to the same cluster because of the the RMS norm. The clustering scheme is designed to create no more than six clusters.
Most representative member
A cluster is represented not by the mean of its members but by its most representative member (MRM or cluster scenario). This is selected by a pattern-matching algorithm minimising algorithm minimising root mean square differences between the cluster’s “centre of gravity” “centre of gravity” of the cluster and each member. The most representative member is chosen to symbolize the cluster. But it should not be used as a deterministic forecast, nor should it be seen as a substitute for the cluster average (cluster averages are not currently available as web charts but are available for download from MARS).
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- If the ensemble members fall into a few, well separated groups of “similar forecasts” ““similar forecasts”” (a multi-modal distributiondistribution”) the most representative members (cluster scenarios) will represent the range of possible weather conditions (see Fig8.1.3.1-2).
- If the spread of all the ensemble members is broad and represent a continuum which does not divide up logically into groups, then the cluster algorithm cannot partition the ensemble into significant different clusters and the ensemble median is presented as the most representative member (cluster scenario) of the single "cluster".
- If the spread of all the ensemble members is small, more than one cluster can still be created provided that a partition is possible.
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The web site includes cluster products equivalent to Fig8.1.3.1-2 for each of the four predefined lead-time windows. For additional information, the 1000hPa geopotential fields are also provided for each ensemble scenario to show the corresponding near-surface evolution. Users should note that for these the clustering has been made on the 500hPa fields, not the 1000hPa fields. Whilst the user should not treat the most representative members as deterministic solutions, it can nonetheless be helpful to examine the details of the evolution in such members, to see how a particular scenario can plausibly arise and evolve. One good way to do this is to use the cyclone database products presented by the extratropical extra-tropical cyclone diagrams, specifically the animations, at 12 hour intervals, of synoptic patterns for individual members.
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