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AREAdata updating output files

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Mendeley Data2024-06-29 更新2024-06-29 收录
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AREAdata output files for automatically updating climate averages. These are daily climate estimates based on the CDS ERA-5 reanalysis, see pearselab.github.io/areadata/. File names begin with the climate variable given:temp = Temperaturespechumid = Specific Humidityrelhumid = Relative Humidityprecip = Precipiationuv = Ultraviolet File names contain the administrative division level: countries - highest administrative division GID1 - lower administrative division, equivalent to states GID2 - lower administrative division, equivalent to counties Files downloadable as RDS files for direct use in the R statistical programming environment (appended .RDS), or as zip-compressed tab delimited files for other applications (appended .zip).

用于自动更新气候平均值的AREAdata输出文件。此类文件为基于CDS ERA-5再分析资料生成的每日气候估算值,详情请访问pearselab.github.io/areadata/。 文件名以指定的气候变量作为前缀: - temp = 气温(Temperature) - spechumid = 比湿(Specific Humidity) - relhumid = 相对湿度(Relative Humidity) - precip = 降水(Precipitation,原文拼写为Precipiation,存在笔误) - uv = 紫外线辐射(Ultraviolet) 文件名包含行政区划层级信息: - countries:最高层级行政区划 - GID1:下级行政区划,对应州级行政区 - GID2:下级行政区划,对应县级行政区 用户可选择两种格式下载文件:一种为可直接在R统计编程环境中使用的RDS文件(后缀附加.RDS);另一种为适用于其他应用的ZIP压缩制表符分隔文本文件(后缀附加.zip)。

创建时间:
2023-10-16
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