clim4health is an R package designed to obtain, transform and export climate data for their use in epidemiological analyses and other types of applications. The package contains a series of functions structured in three sequential blocks: input, transformation, and output.
In the input block, clim4health provides functions to download several types of climate data including reanalyses, forecasts, hindcasts, and weather stations and load them into memory for their processing. The transformation block includes functions to postprocess and downscale climate data, perform spatiotemporal aggregations, as well as compute threshold-based suitability indicators. Finally, in the output block, functions to visualize and export the transformed data are provided.
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clim4health is one of the packages developed by the Global Health Resilience (GHR) team at the Barcelona Supercomputing Center (BSC) within the HARMONIZE project, which comprises different R and Python libraries tailored for health, climate, environmental, and socioeconomic data acquisition, harmonisation, and visualization.
The package is currently under development and its expected release date is February 2026.
Emily Ball, PhD
Barcelona Supercomputing Center
Climate Services
Alba Llabrés, PhD
Barcelona Supercomputing Center
Climate Services
Carles Milà, PhD
Barcelona Supercomputing Center
Global Health Resilience
Raul Capellan Fernandez, MSc
Barcelona Supercomputing Center
Earth Data and Diagnostics
Daniela Lührsen, MSc
Barcelona Supercomputing Center
Global Health Resilience
Anna B. Kawiecki, PhD
Barcelona Supercomputing Center
Global Health Resilience
Rachel Lowe, PhD
Barcelona Supercomputing Center
Global Health Resilience (Group leader)