该数据集提供了约 2020 年 1 公里分辨率的全球城市冠层参数（GloUCP），数据被分为 288 块，每块存储在一个压缩文件中，覆盖 15°×15° 的地理区域。每个压缩文件对应的地理区域可从其文件名中识别（例如，GloUCP-X105_119.Y15_29.zip 包含跨越东经 105°-120°和北纬 15°-30°区域的数据，而 GloUCP-X-180_-166.Y-60_-46.zip 则对应西经 180°-165°和南纬 60°-45°之间的区域）。每个压缩文件包括 255 个地理网格二进制格式文件，每个文件代表一个 1°×1° 的区域。如 35161-35280.14281-14400 包含横跨 113°E-114°E 和 29°N-30°N 区域的数据）。
\n此外，该数据集还包含 2020 年 1 公里分辨率的不透水表面分数数据，该数据集与 GloUCP 数据集同时提供，用户可根据一致的不透水面积数据，在 WRF 模拟中方便地定义土地覆被/用途类型。", "ds_source": "
1、城市冠层参数源自 Che 等人（2024 年）生成的全球三维建筑足迹（3D-GloBFP）数据集；
\n2、不透水表面分数数据来自 Gong 等人（2020 年）创建的全球人工不透水面积（GAIA）数据集。", "ds_process_way": "
数据被分为 288 块，每块存储在一个压缩文件中，覆盖 15°×15° 的地理区域。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2020-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "全球", "ds_acq_lon_east": 180.0, "ds_acq_lat_south": 90.0, "ds_acq_lon_west": 180.0, "ds_acq_lat_north": 90.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 775346164, "ds_files_count": 2, "ds_format": "tiff", "ds_space_res": "1000", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "8f7ca904-9f28-4c8e-801b-0472f908d956.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "a4dd5849-78f2-44c5-b0f1-3450e952b2a2", "ds_serv_man": "敏玉芳", "ds_serv_phone": "09314967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2025-02-27 15:44:12", "last_updated": "2026-01-14 10:42:04", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.FIGSHARE.DB6762.2025", "i18n": { "en": { "title": "GloUCP： Global 1-kilometer spatially continuous urban canopy parameters based on WRF model (2020)", "ds_format": "TIFF", "ds_source": "
& emsp; 1. The urban canopy parameters are derived from the global 3D GloBFP dataset generated by Che et al. (2024)\n
& emsp; 2. The data on impermeable surface fraction comes from the Global Artificial Impermeable Area (GAIA) dataset created by Gong et al. (2020).", "ds_quality": "
& emsp; The data quality is good.", "ds_ref_way": "", "ds_abstract": "
& 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
\n& 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.
", "ds_time_res": "年", "ds_acq_place": "Global", "ds_space_res": "1000", "ds_projection": "", "ds_process_way": "& emsp; The data is divided into 288 blocks, each stored in a compressed file, covering a geographical area of 15 °× 15 °.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "城市信息学", "WRF", "城市", "冠层" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "全球" ], "ds_time_tags": [ 2020 ], "ds_contributors": [ { "true_name": "刘小平", "email": "liuxp3@mail.sysu.edu.cn", "work_for": "中山大学地理科学与规划学院", "country": "中国" }, { "true_name": "廖威林", "email": "liaoweilin@mail.sysu.edu.cn", "work_for": "中山大学地理科学与规划学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "刘小平", "email": "liuxp3@mail.sysu.edu.cn", "work_for": "中山大学地理科学与规划学院", "country": "中国" }, { "true_name": "廖威林", "email": "liaoweilin@mail.sysu.edu.cn", "work_for": "中山大学地理科学与规划学院", "country": "中国" } ], "ds_managers": [ { "true_name": "刘小平", "email": "liuxp3@mail.sysu.edu.cn", "work_for": "中山大学地理科学与规划学院", "country": "中国" }, { "true_name": "廖威林", "email": "liaoweilin@mail.sysu.edu.cn", "work_for": "中山大学地理科学与规划学院", "country": "中国" } ], "category": "其他" }