Abstract
<strong class="journal-contentHeaderColor">Abstract.</strong> Global wind profiles from the Aeolus satellite mission provide an important source of wind information for Numerical Weather Prediction (NWP). Data assimilation experiments show large mean changes in the analysis and a significant reduction of forecast errors. At Deutscher Wetterdienst (DWD), an Observing Systems Experiment (OSE) for three months, from July 2020 to October 2020, has been performed to evaluate the impact of the Aeolus horizontal line-of-sight (HLOS) wind observations in the operational data assimilation system of the ICOsahedral Nonhydrostatic (ICON) global model. To better understand the underlying dynamics leading to the overall beneficial impact, specific time periods and regions with particularly high impact of Aeolus are investigated. In this study, we illustrate three examples of atmospheric phenomena that constitute dynamical scenarios for significant forecast error reduction through the assimilation of Aeolus: The phase shift of large-scale tropical circulation systems, namely the quasi-biennial oscillation (QBO) and the El Niño–Southern Oscillation (ENSO), and the interaction of tropical cyclones undergoing extratropical transition (ET) with the midlatitude waveguide.
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