AREAdata: a worldwide climate dataset averaged across spatial units at different scales through time
File(s)
Published version
Author(s)
Smith, Thomas
Stemkovski, Michael
Koontz, Austin
Pearse, William
Type
Journal Article
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 continually updated, free-to-use online global climate dataset, pre-processed to provide the averages of various climate variables across different 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.
Date Issued
2022-08-01
Date Acceptance
2022-06-27
Citation
Data in Brief, 2022, 43
ISSN
2352-3409
Publisher
Elsevier
Journal / Book Title
Data in Brief
Volume
43
Copyright Statement
© 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/)
(http://creativecommons.org/licenses/by/4.0/)
License URL
Publication Status
Published
Article Number
ARTN 108438
Date Publish Online
2022-07-02