Title
Investigation of links between dynamical scenarios and particularly high impact of Aeolus on numerical weather prediction (NWP) forecasts
Author
Anne Martin
Meteorologisches Institut München, Ludwig-Maximilians-Universität
Author
Alexander Cress
Referat Datenassimilation und Vorhersagbarkeit (FE11), Deutscher Wetterdienst (DWD)
Abstract
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 in forecast errors. At Deutscher Wetterdienst (DWD), a 3-month observing system experiment (OSE), from July 2020 to October 2020, was 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 a 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.
Keywords
Atmospheric Science
Object type
Language
English [eng]
Persistent identifier
https://phaidra.univie.ac.at/o:2045821
Appeared in
Title
Weather and Climate Dynamics
Volume
4
Issue
1
ISSN
2698-4016
Issued
2023
From page
249
To page
264
Publisher
Copernicus GmbH
Date issued
2023
Access rights
Rights statement
© Author(s) 2023
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