AREAdata: a worldwide climate dataset averaged across spatial units at different scales through time

Abstract

In an era of increasingly cross-discipline collaborative science, it is imperative to produce data resources which can be quickly and easily utilised by non-specialists. In particular, climate data often require heavy processing before they can be used for analyses. Here we describe AREAdata, a free-to-use online global climate dataset, pre-processed to provide the averages of various climate variables across differing administrative units (e.g., countries, states). These are daily estimates, based on the Copernicus Climate Data Store's ERA-5 data, regularly updated to the near-present and provided as direct downloads from our website (https://pearselab.github.io/areadata/). The daily climate estimates from AREAdata are consistent with other openly available data, but at much finer-grained spatial and temporal scales than available elsewhere. AREAdata complements the existing suite of climate resources by providing these data in a form more readily usable by researchers unfamiliar with GIS data-processing methods, and we anticipate these resources being of particular use to environmental and epidemiological researchers.

Differential responses of SARS-CoV-2 variants to environmental drivers during their selective sweeps

“…To assess the impacts of climate variables on SARS-CoV-2 Alpha and Delta variant transmission, we obtained daily estimates of temperature, specific humidity, relative humidity, UV radiation and precipitation averaged across STP areas from AREAdata 32 . AREAdata publishes spatial averages of climate variables 32 based upon the CDS-ERA5 climate dataset 33 , a source widely used in SARS-CoV-2 climate-response studies 3 , 4 , 6 , 27 . The AREAdata processing pipeline is built upon the same code-base as used in a previous SARS-CoV-2 seasonality study 6 .…”