& emsp; This dataset provides global urban canopy parameters (GloUCP) with a resolution of approximately 1 kilometer in 2020. The data is divided into 288 blocks, each stored in a compressed file, covering a geographical area of 15 °× 15 °. The geographic region corresponding to each compressed file can be identified from its file name (for example, GloUCP-X105_119.Y15_29.zip contains data spanning the area between longitude 105 ° -120 ° E and latitude 15 ° -30 ° N, while GloUCP-X180_ -166. Y-60_ -46. zip corresponds to the area between longitude 180 ° -165 ° W and latitude 60 ° -45 ° S). Each compressed file contains 255 geographic grid binary format files, each representing a 1 °× 1 ° region. Such as 35161-35280.14281-14400, which includes data spanning the 113 ° E-114 ° E and 29 ° N-30 ° N regions p>
& emsp; In addition, the dataset also includes impervious surface fraction data with a resolution of 1 kilometer in 2020, which is provided simultaneously with the GloUCP dataset. Users can easily define land cover/use types in WRF simulations based on consistent impervious area data.
collect time | 2020/01/01 - 2020/12/31 |
---|---|
collect place | Global |
data size | 739.4 MiB |
data format | TIFF |
Coordinate system |
& emsp; 1. The urban canopy parameters are derived from the global 3D GloBFP dataset generated by Che et al. (2024) p>
& emsp; 2. The data on impermeable surface fraction comes from the Global Artificial Impermeable Area (GAIA) dataset created by Gong et al. (2020).
& emsp; The data is divided into 288 blocks, each stored in a compressed file, covering a geographical area of 15 °× 15 °.
& emsp; The data quality is good.
# | title | file size |
---|---|---|
1 | GloUCP: 基于WRF 模型的全球 1 公里空间连续城市冠层参数(2020年).zip | 739.4 MiB |
2 | _ncdc_meta_.json | 5.0 KiB |
# | category | title | author | year |
---|---|---|---|---|
1 | paper | GloUCP: A global 1 km spatially continuous urban canopy parameters for the WRF model | W,Liao,Y,Li,X,Liu,Y,Wang,Y,Che,L,Shao,G,Chen,H,Yuan,N,Zhang,F,Chen | 2024 |
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