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:
Date: Tuesday 27 May 2025,
Time: 15:00 CEST
Location: Lecture Hall 4.001 (4th floor), Höninger Weg 100, 50969 Cologne
It will also be streamed via zoom:
for online participation, please contact info@cesoc.net
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Abstract
Summertime 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.
We 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.
During 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.
Link to SWM 2023 campaign: https://www.atmohub.kit.edu/english/590.php
Speaker bio
Annika 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.
Previously, 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.