Statistical and ML-based forecasting, nowcasting and post-processing in geosciences
Co-organized by AS5/HS13
Convener:
Maxime TaillardatECSECS
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Co-conveners:
Sebastian Lerch,
Sándor Baran,
Jieyu ChenECSECS,
Stéphane Vannitsem
This session explores all work related to forecasting in geosciences using statistical methods.
Ranging from linear regression to the most advanced machine learning (ML) or artificial intelligence (AI) methods, the session welcomes all contributions developing and/or using these tools for various applications such as AI/ML-based numerical weather prediction and nowcasting, time series forecasting in geosciences, forecast blending and statistical post-processing, or downscaling.
This session aims to foster interdisciplinary discussions among geoscientists coming from meteorology, climate, hydrology, or other communities, to promote the use of statistical methods in forecasting.