In this section
@unpublished{Smith:2021:10.1101/2021.10.05.463057,
author = {Smith, TP and Stemkovski, M and Koontz, A and Pearse, WD},
doi = {10.1101/2021.10.05.463057},
title = {AREAdata: a worldwide climate dataset averaged across spatial units at different scales through time},
url = {http://dx.doi.org/10.1101/2021.10.05.463057},
year = {2021}
}
TY - UNPB
AB - <jats:title>ABSTRACT</jats:title><jats:p>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 (<jats:italic>e</jats:italic>.<jats:italic>g</jats:italic>., 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 (<jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://pearselab.github.io/areadata/">https://pearselab.github.io/areadata/</jats:ext-link>). 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.</jats:p>
AU - Smith,TP
AU - Stemkovski,M
AU - Koontz,A
AU - Pearse,WD
DO - 10.1101/2021.10.05.463057
PY - 2021///
TI - AREAdata: a worldwide climate dataset averaged across spatial units at different scales through time
UR - http://dx.doi.org/10.1101/2021.10.05.463057
ER -