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Open Access Quantifying verification uncertainty by reference data variation

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In the framework of a multi-level verification experiment, the impact of different characteristics of verification reference data on NWP-model verification is evaluated. These are the analysis method, the grid resolution and the density of underlying observation data. A set of six limited area NWP-models is evaluated by three model-independent analysis methods, based on two different observation networks. Verification is performed on four regular grids with horizontal resolutions ranging from 4–32 km. Traditional verification measures are combined with scale-separation techniques using a 2-dimensional wavelet-transform. Verification uncertainties are estimated by four different applications: A poor man's ensemble derived from the sample of analysis variations, a resampling approach, and two different ensemble analysis tools based on random perturbations. Mechanisms of uncertainty estimation are discussed and their effectiveness is shown through various examples. Overall results indicate that the main sources of verification uncertainties due to analysis data are not the interpolation methods, but primarily observation density and grid resolution.

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Document Type: Research Article

Publication date: 01 June 2012

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  • Meteorologische Zeitschrift (originally founded in 1866) is the joint periodical of the meteorological societies of Austria, Germany and Switzerland. It accepts high-quality peer-reviewed manuscripts on all aspects of observational, theoretical and computational research out of the entire field of meteorology, including climatology. Meteorologische Zeitschrift represents a natural forum for the meteorological community of Central Europe and worldwide.
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