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This study evaluates the performance of the COSMO-7 model using radar data, focusing on precipitation sums and weather type classification. The results highlight biases in different weather patterns, particularly in weak advection and flat terrain.
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Update on Weather-Situation Dependent COSMO-7 Verification against Radar DataResults of 2006 Emanuele Zala, Daniel Leuenberger MeteoSwiss
Data Sets and Methodology RADAR • Radar: 24h precipitation sums from 06 UTC to 06 UTC • MeteoSwiss network composite „rain“ product • horizontal resolution: 2x2km • visibility-, clutter- and bias-corrected COSMO-7 model: • +06h to +30h precipitation sums from all 00UTC runs • horizontal resolution 7x7km BIAS correction map of radar data against rain gauges (Long-term corrections)
Data Sets and Methodology RADAR fields mapped on COSMO-7 grid:
Weather Type Classification • subjective • mainly based on 500hPa geopotential/winds • classes:
Conclusions • Smaller biases in weak advection • Overestimation on upstream side of topography • Tendency to underestimation in flat terrain • Special: SW-flow: Large underestimation over Jura mountains and Swiss Plateau • Similar results in 2004 and 2005