Sea Winds Predictions

I. Data The objective of this challenge is to develop probabilistic forecasting models for offshore wind speed and direction across two maritime regions, supporting wind energy planning and offshore operations. The provided dataset includes multi-level atmospheric reanalysis data, operational forecasts, with prediction horizons of +1, +7, and +14 days ahead. Spatial dimension: Covers two offshore maritime regions: the North Sea (51-62°N, -4-10°E) and the East China Sea (24-35°N, 118-132°E) Regional gridded data at 0.25° resolution (~25 km) Worldwide daily reanalysis at 1° resolution f Ground truth observations from 15 stations Predictions required at 7 vertical levels: 10m, 100m, and pressure levels 1000 / 925 / 850 / 700 / 500 hPa Temporal dimension: Training data spans from 2019 to 2021 at 6-hourly resolution (3 years) and daily resolution (worldwide) Station observations available at 6-hourly resolution for the same period Evaluation/inference data spans 2022, organized as 8 independent forecast windows distributed across the year to capture seasonal variability Each window provides 14 days of context data and requires predictions at three horizons (+1 day, +7 days, +14 days), each at four hours of day (00, 06, 12, 18 UTC) Participants must produce probabilistic forecasts: Wind speed: three quantiles (q05, q50, q95) forming a 90% prediction interval Wind direction: median (dir_50), optionally with interval endpoints (dir_05, dir_95) Auxiliary data: ECMWF forecasts at surface and pressure levels (2019-2021) Elevation from ETOPO 2022 Land-sea masks for both regions Station metadata (coordinates, measurement heights, nearest grid point) All features are provided as Parquet files for efficient loading and direct integration with standard machine learning pipelines. For more details about the hackathon see Here --> https://www.codabench.org/competitions/13821/ Mini Challenge — Caribbean Buoy dataset (companion dataset) A short, standalone side-challenge: post-process raw weather forecasts into calibrated probabilistic wind forecasts at 6 offshore buoys, at horizons +1, +7 and +14 days. Spatial dimension: 6 stations in the Gulf of Mexico / Caribbean (~14-29°N, 90-58°W) Operational forecasts interpolated to each buoy, plus a local reanalysis patch (3°×3° at 0.25°) per buoy Ground truth from the 6 buoys Temporal dimension: Training: 2020-2021. Evaluation: 2022, in 8 independent forecast windows across the year Each window: 14 days of context, predictions at +1/+7/+14 days × 4 hours (00, 06, 12, 18 UTC) Forecasts reach +10 days (cover +1/+7); +14 days must be predicted from buoy history / climatology IV. Acknowledgments This dataset contains modified data from Copernicus Climate Change Service information [2026]. Neither the European Commission nor ECMWF is responsible for any use of the Copernicus information or data it contains.