AREAdata updating output files
收藏资源简介:
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。本数据集的每日气候估算结果基于CDS ERA-5再分析资料生成,详情可访问pearselab.github.io/areadata/查阅。 文件名以对应气候变量作为前缀,各变量对应关系如下:temp为气温、spechumid为比湿、relhumid为相对湿度、precip为降水、uv为紫外线辐射。 文件名同时标注了所属行政区划层级:countries代表国家级(最高一级行政区划),GID1代表次级行政区划(对应州/省一级行政单元),GID2代表更低一级行政区划(对应县/郡一级行政单元)。 用户可下载两种格式的文件:其一为可直接在R统计编程环境中调用的RDS格式文件(文件后缀为.RDS);其二为适配其他应用场景的ZIP压缩制表符分隔文本文件(文件后缀为.zip)。



