This dataset includes two-year long (2020-2022) time series of ERA5-Land hourly meteorological data datasets over 15 randomly sampled locations in each of the four Köppen Climatic Zones (Continental, Dry, Temperate, and Tropical). These data are necessary imputs of the Python pyBOSSE package corresponding to the Biodiversity Observing System Simulation Experiment (BOSSE v1.0). BOSSE aims to support the development of methods estimating plant diveristy and its relationships with ecosystem functions by means of simulating synthetic landscapes. These "Scenes" feature communities of various vegetation species whose traits´s seasonality and ecosystem functions (related to soil, water, and carbon fluxes) respond to meteorology (i.e., this dataset) and other environmental factors. BOSSE generates also various types of remote sensing imagery linked to the traits and functions via radiative transfer theory. pyBOSSE is available in https://github.com/JavierPachecoLabrador/pyBOSSE The files contained must be located in /pyBOSSE/BOSSE_inputs/Meteo_ERA5land