henhaobio
Sign in

bioRxivEcology

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

T. P. Smith, M. Stemkovski, A. Koontz, W. D. Pearse

PDFDOIPreprint

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 Stores 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.

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISLeonardi '22Girish '26Hasegawa '21Lee '25Caudullo '14Kindt '23
58% semantic matchEvolutionary Biology
M. Leonardi, E. Y. Hallett, R. Beyer+2 more·bioRxiv·May 18, 2022