@misc{79958,
  keywords = {workshop, model uncertainty},
  author = {Alessandro Dell’Aquila and Susanna Corti},
  title = {Model uncertainty in representing midlatitude atmospheric synoptic variability: a spectral perspective},
  abstract = {<ul><li>We present here a process oriented metric to evaluate global datasets in terms of their capability in reproducing the midlatitude atmospheric synoptic variability. In particular our analysis focuses on high and low frequency atmospheric variability as represented by propagating and standing waves defined following the spatio-temporal spectral decomposition introduced by Hayashi</li><li>We apply this process oriented metric and ad hoc indices introduced to validate the ERA-CLIM simulations and, at the same time, to evaluate signals of multi-decadal variability for planetary and baroclinic waves. The results are compared with a series of different reanalysis products, which assimilate atmospheric observations with increased diversity: from surface-only to surface, upper air and satellite observations (ERA20C, NOAA 20th Reanalysis, NCEP, Era-Interim, ERA40 Reanalysis…)</li></ul>
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},
  year = {2016},
  journal = {ECMWF/WWRP Workshop: Model Uncertainty},
  month = {2016},
  language = {English},
}