The proposed short course will introduce researchers and academicians to the THORPEX Interactive Grand Global Ensemble (TIGGE), a pioneering platform designed to advance ensemble prediction and its applications in weather and hydrology. TIGGE provides access to multi-model ensemble forecasts from leading global prediction centers—including ECMWF, NCEP, UKMO, CMA, JMA, NCMRWF, IMD, and others—archived at its dedicated data portal. The dataset includes perturbed and control forecasts with lead times of up to 15 days, at varying spatial resolutions. A wide range of atmospheric and surface parameters are available, including precipitation, temperature, wind speed, mean sea-level pressure, geopotential height, soil moisture, and radiation fluxes—critical drivers for hydrological and climate impact models.
In this course, participants at EGU 2026 will be introduced to the fundamentals of ensemble forecasting and guided through the process of downloading TIGGE datasets for selected regions and lead times. We will demonstrate how to convert these forecasts into user-friendly formats (e.g., CSV, NetCDF) for diverse applications. Case studies will highlight how TIGGE data are being applied in flood forecasting, reservoir management, and climate risk assessments, while also exploring emerging opportunities for advancing TIGGE-based research in Earth system science. The course is tailored for early-career researchers, PhD students, and practitioners seeking to apply ensemble forecast data in both scientific and applied contexts.