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Explicitly Accounting for Observation Error in Categorical Verification of Forecasts
Publisher: American Meteorological Society
Abstract: Given an accurate representation of errors in observations it is possible to remove the effect of those errors from categorical verification scores. The errors in the observations are treated as additive white noise that ...
The Benefits of Multianalysis and Poor Man’s Ensembles
Publisher: American Meteorological Society
Abstract: A new approach to probabilistic forecasting is proposed, based on the generation of an ensemble of equally likely analyses of the current state of the atmosphere. The rationale behind this approach is to mimic a poor man?s ...
Comparison of Hybrid-4DEnVar and Hybrid-4DVar Data Assimilation Methods for Global NWP
Publisher: American Meteorological Society
Abstract: he Met Office has developed an ensemble-variational data assimilation method (hybrid-4DEnVar) as a potential replacement for the hybrid four-dimensional variational data assimilation (hybrid-4DVar), which is the current ...