The dataset encompasses 160,000 years of five-day aggregated precipitation, temperature, and radiation data. The data is generated via the application of a weather generator known as AWE-GEN, which functions at an hourly rate. The aggregated daily weather data produced by the AWE-GEN is utilized to drive a forest model, namely FORMIND. In addition to the five-day aggregated weather data, the dataset incorporates forest biomass mortality rates for each year. Furthermore, the dataset also includes histograms that illustrate five structure variables, namely age, stem volume, leaf area index, height, and diameter for every year. The data is available as HDF5 files.

Dataset can be used as a test bed for machine learning model which involves weather time series leading to an impact in multi-modal setting.