Zonal Statistics of Climate Indicators from ERA5-Land for Brazilian Municipalities, 2024

Climate indicators are used in several statistical models for many research areas and are especially important for modelling Climate Sensitive Diseases (CSD) incidence. Those models usually adopt a lattice structure, where their data is aggregated at administrative boundaries (e.g, disease incidence), but climate indicators are usually presented in a continuous, regular grid format.

To make climate indicators compatible with lattice structures, zonal statistics may be adopted. Zonal statistics are descriptive statistics calculated using a set of cells that spatially intersect a given spatial boundary. For each boundary in a map, statistics like average, maximum value, minimum value, standard deviation, and sum are obtained to represent the cell's values that intersect the boundary.

This dataset presents zonal statistics of climate indicators computed from Copernicus ERA5-Land daily aggregates for the Brazilian municipalities, for the year 2024.