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Proceedings - C-SRNWP Project

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Overview<br />

COSMO ensemble systems<br />

Pierre Eckert, MeteoSwiss Geneva<br />

Cosmo develops different kinds of ensembles systems. One of them is the COSMO LEPS<br />

developed at ARPA SIM (Bologna), representing mainly a downscaling of the ECMWF EPS.<br />

Multimodel ensembles have also been investigated at ARPA Piemonte and also have been<br />

used at the 2006 Olympic games in Torino. A project SREPS for a short range ensemble,<br />

including perturbations in the initial state and in the physics is also under way and is reported<br />

on by C. Marsigli in the same conference. Plans to run ensembles at very small scale (2-3 km)<br />

like the DWD EELMK also exist but will not be presented here.<br />

The COSMO LEPS<br />

The system is designed so as to provide a 10 km resolution ensemble forecast targeted on<br />

days 3 to 5. Two consecutive ECMWF (00z and 12z) EPS forecasts provide an ensemble of<br />

102 members. These members are clustered on the days 4 and 5 and on the variables<br />

geopotential, u component of the wind, v component of the wind and specific humidity at<br />

levels 500, 700 and 850 hPa. In the present configuration, 16 representative members (RMs)<br />

are chosen from the clustering, and are used as initial and boundary conditions for 16 LM runs<br />

covering central Europe (cf. next figure) with a resolution of 10 km and 40 model levels. No<br />

proper analysis is done. For the integration two convection schemes (Tiedke or Kain-Fritsch)<br />

are randomly chosen<br />

COSMO-<br />

LEPS<br />

clustering<br />

area<br />

COSMO-<br />

LEPS<br />

Integration<br />

Domain<br />

Various probabilities, meteograms and guidance for warnings are generated. Probabilities are<br />

normally computed by weighting the values given by one member be the size of the cluster it<br />

represents. Some studies show that especially in extreme cases non weighting (each member<br />

counts for 1/16th) gives better results, respectively higher probabilities for the given event.<br />

But the results are not conclusive. An example of meteogram is shown on the next page.<br />

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