遇见数据集

Global 1-km present and future hourly anthropogenic heat flux

收藏
DataCite Commons2022-02-02 更新2024-08-17 收录
官方服务:

资源简介:

AH4GUC is a database which contains maps of hourly-representative anthropogenic heat emissions (AHE) representing the periods 2010s and 2050s. The AHE of 2050s represents a single future scenario based on RCP8.5 and SSP3 climate change pathways. This future “business-as-usual” scenario assumes minimal or no adaptation and mitigation measures implemented in all countries. Monthly-averaged and annual-averaged values representing the 2010s and 2050s are also provided. All files are available in single-band raster format (GeoTIFF format) are freely accessible through this Figshare repository and at a university-maintained server (Tokyo Institute of Technology, http://urbanclimate.tse.ens.titech.ac.jp/). Each pixel contains integer formats of AHE in units of W per sq. m. per 100,000. GeoTIFFs can be further analyzed or process using any GIS software or programming tools, such as R or Python.<br>Files prefixed "AHE_2010_" and "AHE_2050_" correspond to anthropogenic heat emissions for 2010s and 2050s, respectively. Prefixes followed by "year" corresponds to annual averages. Prefixes followed by a two-digit number corresponds to monthly-averaged values with the two-digit number corresponding to the month (i.e. "01" - January, "02" - February, ..., "12" - December)

AH4GUC是一个收录有代表2010年代与2050年代的小时尺度代表性人为热排放(anthropogenic heat emissions, AHE)图谱的数据库。其中2050年代的人为热排放对应基于RCP8.5与SSP3气候变化情景构建的单一未来情景——该“一切照旧”情景假设所有国家均未采取或仅采取极少的适应与减缓措施。本数据库同时提供2010年代与2050年代的月均、年均人为热排放数据。所有文件均采用单波段栅格格式(GeoTIFF格式),可通过本Figshare仓库及东京工业大学(Tokyo Institute of Technology)维护的服务器(http://urbanclimate.tse.ens.titech.ac.jp/)免费获取。每个像素的人为热排放数据为整数格式,单位为每10万平方米瓦特(W/10^5 m²)。GeoTIFF格式文件可通过任意GIS软件或编程工具(如R、Python)进行进一步分析与处理。<br>文件名以“AHE_2010_”和“AHE_2050_”为前缀的文件分别对应2010年代与2050年代的人为热排放数据;前缀后带有“year”的文件代表年均值;前缀后带有两位数字的文件代表月均值,该两位数字对应具体月份(即“01”代表1月,“02”代表2月,……,“12”代表12月)

提供机构:
figshare
创建时间:
2020-07-16
搜集汇总
数据集介绍
Global 1-km present and future hourly anthropogenic heat flux 数据集图片
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务