AREAdata: a worldwide climate dataset averaged across spatial units at different scales through time
AREAdata: a worldwide climate dataset averaged across spatial units at different scales through time
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AREAdata：随时间变化、不同尺度的空间单位平均的全球气候数据集
DOI：
10.1101/2021.10.05.463057
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Smith T
中科院分区：
文献类型：
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作者：
Smith T
在一个越来越多的跨学科协作科学的时代，必须产生可以快速，轻松地被非专业人员使用的数据资源。特别是，气候数据在用于分析之前往往需要进行大量处理。在这里，我们描述AREAdata，一个不断更新的，免费使用的在线全球气候数据集，经过预处理，提供不同行政单位（例如，国家、州）。这些是每日估计，基于哥白尼气候数据存储的ERA-5数据，定期更新到近期，并从我们的网站（https：//pearselab.github.io/areadata/）直接下载。AREAData的每日气候估计与其他公开可用的数据一致，但在更细粒度的空间和时间尺度上比其他地方。AREAData补充了现有的一套气候资源，提供这些数据的形式更容易使用的研究人员不熟悉地理信息系统的数据处理方法，我们预计这些资源是特别有用的环境和流行病学研究人员。
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.