AREAdata updating output files
收藏Mendeley Data2024-06-29 更新2024-06-29 收录
下载链接:
https://figshare.com/articles/dataset/AREAdata_GID2_output_files/16587311/19
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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。本数据集为基于CDS ERA-5再分析资料生成的每日气候估算数据,详情可访问pearselab.github.io/areadata/。
文件名称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 = 降水量(Precipiation)
uv = 紫外线辐射(Ultraviolet)
文件名称中包含行政区划层级信息:
countries - 最高一级行政区划
GID1 - 次级行政区划,对应省级行政区
GID2 - 更低一级行政区划,对应县级行政区
文件可下载为两种格式:可直接在R统计编程环境中使用的RDS格式文件(后缀为.RDS),或适用于其他应用程序的ZIP压缩制表符分隔文本文件(后缀为.zip)。
创建时间:
2023-06-28



