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SUMMARY:Annika Oertel - The ‘Swabian MOSES 2023’ Field Campaign
DESCRIPTION:CESOC kindly invites you to a joint CESOC-HeRZ Colloquium given by Dr. Annika Oertel\, who leads a junior research group within IDEA Science for Service\, and from the Institute of Meteorology and Climate Research at Karlsruhe Institute of Technology (KIT) with the title:  \nThe ‘Swabian MOSES 2023’ field campaign\nThe added value of campaign observations for model validation and data assimilation \nDate: Tuesday 27 May 2025\,\nTime: 15:00 CEST\nLocation: Lecture Hall 4.001 (4th floor)\, Höninger Weg 100\, 50969 Cologne \nIt will also be streamed via zoom:\nfor online participation\, please contact info@cesoc.net\n————————————————————————————————-\nAbstract \nSummertime convective events and their associated hazards can pose considerable threats to people and property. To-date\, forecasting convective events remains a challenge\, even for the latest generation of convective-scale numerical weather prediction models. Forecasting these small-scale events is\, among others\, challenged by the presence of bias and errors in operational analysis data\, which are used as initial conditions for subsequent forecasts.\nWe leverage observations from the ‘Swabian MOSES’ 2023 field campaign that took place in summer 2023 in the Black Forest region\, Southern Germany\, to (i) validate analysis data sets at different scales and (ii) to improve a convective-scale analysis by additionally assimilating campaign observations.\nDuring the campaign\, the mobile atmospheric measurement platform\, KITcube\, was deployed. The measurements include a spatially distributed network of instruments to observe the dynamic and thermodynamic characteristics of the lower troposphere\, and in particular a network of several Doppler wind lidars. Here\, we will focus on the model representation of mesoscale flow characteristics using 3-months of continuous measurements and show how the assimilation of Doppler wind lidar retrievals using the non-hydrostatic model ICON and the Kilometer Scale Ensemble Data Assimilation system (KENDA) influences the analysis. \nLink to SWM 2023 campaign: https://www.atmohub.kit.edu/english/590.php \nSpeaker bio \nAnnika Oertel is the Leader of the Young Investigator Group *Mesoscale Processes and Predictability* at the Institute of Meteorology and Climate Research\, Karlsruhe Institute of Technology (KIT)\, Germany\, since 2023. Her research is embedded in the IDEA-S4S network\, focusing on improving weather predictability at mesoscale levels. \nPreviously\, she was a postdoctoral researcher (2020-2023) in the *Cloud Physics* and *Large-scale Dynamics and Predictability* groups at KIT\, contributing to the transregional research center *Waves to Weather*. She earned her doctorate in Atmospheric Dynamics from ETH Zurich (2016-2019)\, where she investigated complex atmospheric processes shaping weather patterns.
URL:https://cesoc.net/event/oretel/
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