Stationary anomalies in stratospheric meteorological data sets

Mathematics – Logic

Scientific paper

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Meteorology And Atmospheric Dynamics: Middle Atmosphere Dynamics, Meteorology And Atmospheric Dynamics: Numerical Modeling And Data Assimilation, Meteorology And Atmospheric Dynamics: General Circulation, Atmospheric Composition And Structure: Middle Atmosphere-Constituent Transport And Chemistry

Scientific paper

Several northern hemisphere stratospheric meteorological data sets are shown to contain stationary anomalies. We consider four possible explanations for the anomalies: 1) real stationary-wave features; 2) biases in the analysis and assimilation methods; 3) errors in data input into the analysis and assimilation systems; and 4) tidal signals that are undersampled in the daily analyses. Because the easterly flow in the summer stratosphere is not consistent with stationary waves and the anomalies are present in multiple analyses, we conclude that the anomalies are a combination of biases in the input data and tidal signals that are aliased to zero frequency by daily sampling. Because the anomalies are large, they can have significant impacts on many applications of the data, including trajectories and chemical transport calculations.

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