Grenzi et al. (2026) Enhancing severe convection forecasts with microwave radiance assimilation in limited‐area models
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Identification
- Journal: Quarterly Journal of the Royal Meteorological Society
- Year: 2026
- Date: 2026-08-30
- Authors: Marcello Grenzi, Thomas Gastaldo, Virginia Poli, Chiara Marsigli, Tijana Janjić, Alberto Carrassi
- DOI: 10.1002/qj.70296
Research Groups
- Arpae Emilia-Romagna
- ItaliaMeteo
- University/Research Institution (not specified)
Short Summary
This study demonstrates the benefits of assimilating satellite radiances, particularly microwave water-vapour channels and all-sky infrared radiances, in convection-permitting limited-area models for forecasting severe precipitation.
Objective
- Investigate the impact of assimilating clear-sky microwave water-vapour channels from MHS and all-sky infrared radiances from SEVIRI on intense convection forecasting.
Study Configuration
- Spatial Scale: Regional (Italy) at 2.2-km resolution using ICON-2I model.
- Temporal Scale: Real-time forecasting with a focus on the severe convective event of September 15, 2022.
Methodology and Data
- Models used: ICOsahedral Non-hydrostatic model (ICON) coupled to the local ensemble transform Kalman filter.
- Data sources: Satellite radiances from MHS (microwave water-vapour channels) and SEVIRI (all-sky infrared), conventional data, and radar data.
Main Results
- Joint assimilation of MHS and SEVIRI radiances yields the best performance in forecasting precipitation for the Marche event.
- Inspection of forecast initial conditions shows consistent modifications to the pre-convective atmospheric state with increased low-to-mid-tropospheric humidity favouring deep convection.
- Partial analysis increments algorithm highlights the complementary impact of MHS and SEVIRI throughout the troposphere.
Contributions
- This study demonstrates the value of assimilating satellite radiances in convection-permitting LAMs for forecasting severe precipitation, highlighting the potential benefits of using microwave water-vapour channels and all-sky infrared radiances.
- The results motivate the operational introduction of satellite radiances in the Arpae Emilia-Romagna and ItaliaMeteo systems.
Funding
- Not specified.
Citation
@article{Grenzi2026Enhancing,
author = {Grenzi, Marcello and Gastaldo, Thomas and Poli, Virginia and Marsigli, Chiara and Janjić, Tijana and Carrassi, Alberto},
title = {Enhancing severe convection forecasts with microwave radiance assimilation in limited‐area models},
journal = {Quarterly Journal of the Royal Meteorological Society},
year = {2026},
doi = {10.1002/qj.70296},
url = {https://doi.org/10.1002/qj.70296}
}
Original Source: https://doi.org/10.1002/qj.70296