Couallier et al. (2026) Toward robust fine-scale decadal precipitation forecasts through dynamically consistent subsampling
Identification
- Journal: Earth System Dynamics
- Year: 2026
- Date: 2026-08-26
- Authors: Joanne Couallier, Didier Swingedouw, Charlotte Sakarovitch, Théodore Raymond, Ramdane Alkama
- DOI: 10.5194/esd-17-1177-2026
Research Groups
- LyRE (SUEZ), Pessac, France
- EPOC, Pessac, France
Short Summary
This study presents a 5-step framework to improve decadal precipitation forecasts over France by integrating recent advances in large-scale sea-level pressure modes. The approach combines predicted indices with dynamically consistent subsampling of climate model ensemble members.
Objective
- To develop a robust and fine-scale decadal precipitation forecasting system for France, leveraging the relationship between large-scale atmospheric modes and regional hydroclimate variability.
Study Configuration
- Spatial Scale: 8-km grid resolution over France.
- Temporal Scale: Decadal timescale (10-year forecast horizon).
Methodology and Data
- Models used: IPSL-CM6A-LR model, DCPP-A ensemble from CMIP6.
- Data sources: SAFRAN reanalysis dataset for precipitation observations, ERA5 reanalysis dataset for large-scale climate fields.
Main Results
- The study demonstrates improved skill in winter precipitation forecasts over France using the North Atlantic Oscillation (NAO) index, with significant Anomaly Correlation Coefficient across 78% of grid cells.
- Summer skill is weaker but improves notably when combining NAO with the Atlantic Multidecadal Variability (AMV), significant over 48% of grid cells.
Contributions
- This study provides a transferable pathway toward actionable, fine-scale hydroclimate information at the decadal scale, potentially useful for climate services.
- The methodology is adaptable to other regions and variables, offering promising opportunities for improving decadal-scale hydroclimate predictions.
Funding
- This research was funded by [insert funding agencies or projects, e.g., "EU Horizon 2020 project: CLIM4CLIMATE"]
Citation
@article{Couallier2026Toward,
author = {Couallier, Joanne and Swingedouw, Didier and Sakarovitch, Charlotte and Raymond, Théodore and Alkama, Ramdane},
title = {Toward robust fine-scale decadal precipitation forecasts through dynamically consistent subsampling},
journal = {Earth System Dynamics},
year = {2026},
doi = {10.5194/esd-17-1177-2026},
url = {https://doi.org/10.5194/esd-17-1177-2026}
}
Original Source: https://doi.org/10.5194/esd-17-1177-2026