Hackathon 2025: Streamflow Forecasting and Water Resource Regulation

I. Data The objective of this challenge is to develop a model to predict streamflow levels across different river basins, aiding in sustainable water management strategies. The provided dataset includes time-series observations of water flow at specific stations within the selected watersheds, with a prediction horizon of 4 weeks. Spatial dimension: Covers key French river basins (Adour-Garonne, Rhône-Mediterranean) and the Doce River basin in Brazil. Data is available for 30 stations for training and 39 stations for evaluation for France and for Brazil we have 9 stations for training, 13 stations for evaluation. Temporal dimension: Training data spans from 1990 to 2003. Evaluation/inference data spans from 2004 to 2009. The evaluation dataset consists of multiple time segments, including a 4-week historical period for streamflow and weather (temperature, ...), 1 week of weather forecast data, and a 4-week prediction horizon for streamflow. Participants will have access to the following feature types: Spatiotemporal Climate Variables: Temperature at 2m above ground Total precipitation Evaporation rates Soil moisture (volumetric soil water) Geospatial Features: Soil properties (bulk density, clay content, sand/silt ratio) Hydrological divisions (watersheds and sub-basins) Altitude Digital Elevation Model (NASA SRTM) Dams positions in France All features are provided in formats suitable for direct analysis and integration. You can download all the data below. For more details about the hackathon see Here --> https://www.codabench.org/competitions/4335/