AS1.6 | From Mesoscale Convection to Convective-Scale Predictions: advances in process modelling, observations, data assimilation and machine learning
EDI
From Mesoscale Convection to Convective-Scale Predictions: advances in process modelling, observations, data assimilation and machine learning
Convener: Julia CurioECSECS | Co-conveners: Cornelia Klein, Kalli Furtado, Jian Li, Tijana Janjic, Tomislava Vukicevic, Tobias NeckerECSECS
Orals
| Mon, 15 Apr, 08:30–12:30 (CEST)
 
Room M2
Posters on site
| Attendance Mon, 15 Apr, 16:15–18:00 (CEST) | Display Mon, 15 Apr, 14:00–18:00
 
Hall X5
Orals |
Mon, 08:30
Posters on site
Mon, 16:15
Understanding severe convection and associated hazardous weather is crucial to mitigate societal impacts now and in a warmer future. However, convective-scale data analysis and severe weather predictions still present significant challenges for atmospheric sciences. Addressing these challenges requires a synergy of high-resolution convection-permitting modelling, observations, and data assimilation advances. For this reason, our session connects recent advancements in convective-scale process modelling, process understanding, data assimilation, prediction, observing systems, and machine learning.

Session objectives:
• To improve the process understanding and modelling of mesoscale and severe convection in current and future climates.
• To improve convective-scale data assimilation, forecasting and observation methodologies.
• To provide a collaborative platform for enhancing the predictability, uncertainty quantification and understanding of severe weather events and their impacts.
• To bridge mesoscale convective studies with novel convective-scale data assimilation and modelling techniques.

Key Topics:
• Dynamics, thermodynamics and microphysics of mesoscale and severe convection on weather and climate timescales.
• Impact of land-convection interactions, considering environmental factors like complex topography, soil moisture feedbacks,or land use (change).
• Advances in convective-scale data assimilation, forecasting and observations.
• Advances in machine learning for improved modelling of convective-scale processes.

Solicited authors:
•    Pieter Groenemeijer (European Severe Storms Laboratory) - “Severe Storms Research at ESSL”
•    Laure Raynaud (MeteoFrance) - “ML for weather prediction at Météo-France: current status and future plans”

Orals: Mon, 15 Apr | Room M2

Chairpersons: Julia Curio, Cornelia Klein
08:30–08:35
5-minute convener introduction
EGU24-12158
|
solicited
|
On-site presentation
Severe Storms Research at ESSL
Pieter Groenemeijer et al.
Drivers of organised & severe convection
EGU24-1936
|
ECS
|
On-site presentation
Mesoscale Convective Systems across Australia
Ewan Short and Todd Lane
EGU24-11456
|
ECS
|
On-site presentation
Thunderstorm and Hail Frequencies in South America and Australia Based on Overshooting Tops
Jannick Fischer et al.
Land-convection feedbacks
Coffee break
Chairpersons: Tobias Necker, Tijana Janjic, Tomislava Vukicevic
10:45–10:50
convener introduction
EGU24-1675
|
solicited
|
Highlight
|
On-site presentation
ML for weather prediction at Météo-France : current status and future plans
Laure Raynaud et al.
Observations, data assimilation, and prediction of convective events
EGU24-9241
|
ECS
|
On-site presentation
Designing a Global Weather Station Network
Stavros Keppas et al.
EGU24-13906
|
ECS
|
On-site presentation
Multi-scale interaction and predictability of moist convection and tropical cyclones 
Masashi Minamide and Derek Posselt
EGU24-9266
|
ECS
|
On-site presentation
Impact of aerosol and microphysical uncertainty on the evolution of a severe hailstorm
Patrick Kuntze et al.
EGU24-12544
|
On-site presentation
Testing ensemble-based estimates of potential observation impact
Philipp Griewank et al.

Posters on site: Mon, 15 Apr, 16:15–18:00 | Hall X5

Display time: Mon, 15 Apr 14:00–Mon, 15 Apr 18:00
EGU24-1300
|
On-site presentation
Ensemble Sensitivity-Based Subsetting for Convection: Progress Toward Operational Use
Brian Ancell and Austin Coleman
EGU24-8739
|
ECS
|
OSPP
|
On-site presentation
Trends in Warm Season Mesoscale Convective Systems OverAsia in 2001–2020
Yuanjing Guo et al.
EGU24-20211
|
ECS
|
On-site presentation
Does higher temperature accentuate convective cell clustering within European MCSs?
Nicolas A. Da Silva and Jan O. Haerter
EGU24-17689
|
ECS
|
On-site presentation
Impact of microphysical perturbations on convective precipitation predictability
Beata Czajka et al.
EGU24-5305
|
ECS
|
OSPP
|
On-site presentation
Testing Hybrid-3DEnVar in the convective scale NWP model AROME-Austria
Kaushambi Jyoti et al.
EGU24-8069
|
ECS
|
On-site presentation
Towards the assimilation of dual-polarization radar data
Tatsiana Bardachova et al.
EGU24-8810
|
ECS
|
On-site presentation
Investigating the life-cycle of convective clouds from 4D observational data
Sarah Brüning and Holger Tost
EGU24-8868
|
ECS
|
On-site presentation
Situation-Dependent Localization for All-Sky Satellite Observations
Tobias Necker et al.
EGU24-12221
|
ECS
|
OSPP
|
On-site presentation
Preparing AROME assimilation experiments for cloud-affected satellite observations
Sandy Chkeir et al.
EGU24-15473
|
ECS
|
On-site presentation
The assimilation of surface observations in mountainous terrain in the WRFDA system
Giorgio Doglioni et al.
EGU24-17871
|
ECS
|
On-site presentation
Accurate Representation of Dual-Polarized Radar Parameters with Data Assimilation
Ji-Won Lee et al.
EGU24-18115
|
ECS
|
On-site presentation
Influence of data assimilation on tropical waves
Yvonne Ruckstuhl et al.