Your browser doesn't support javascript.
loading
AREAdata: A worldwide climate dataset averaged across spatial units at different scales through time.
Smith, Thomas P; Stemkovski, Michael; Koontz, Austin; Pearse, William D.
Afiliación
  • Smith TP; The Georgina Mace Centre for the Living Planet, Department of Life Sciences, Silwood Park Campus, Imperial College London, Buckhurst Road, Ascot, SL5 7PY, UK.
  • Stemkovski M; Department of Biology & Ecology Center, Utah State University, 5305 Old Main Hill, Logan, UT 84322, USA.
  • Koontz A; Center for Tree Science, Morton Arboretum, 4100 IL-53, Lisle, IL 60532, USA.
  • Pearse WD; The Georgina Mace Centre for the Living Planet, Department of Life Sciences, Silwood Park Campus, Imperial College London, Buckhurst Road, Ascot, SL5 7PY, UK.
Data Brief ; 43: 108438, 2022 Aug.
Article en En | MEDLINE | ID: mdl-35845100
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.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos