致谢

GHDC 平台的开发受到以下机构和项目的经费支持：

  • 中国科学院率先行动”BR计划”：数值方法水文模型研发
  • 中国科学院寒旱区陆面过程与气候变化重点实验室：CLM-SHUD 耦合模型研发
  • 青海省防灾减灾重点实验室开放基金项目：布哈河流域径流变化及水循环机理研究
  • 国家冰川冻土沙漠科学数据中心：水文模型自动化建模系统研发
  • 美国能源部（DOE）：Model Integration through Knowledge-Rich Data and Process Composition
  • 美国国家科学基金会（NSF）：Knowledge-Guided Machine Learning: A Framework to Accelerate Scientific Discovery

GHDC 平台的数据处理依赖以下开放数据集，在此向各数据集的发布团队致谢：

  • ASTER GDEM：由日本宇宙航空研究开发机构（JAXA）与美国国家航空航天局（NASA）联合发布
  • MERIT Hydro DEM：由 Yamazaki et al. 发布（(Yamazaki et al. 2019)）
  • GLDAS：由美国 NASA 戈达德地球科学数据与信息服务中心（GES DISC）发布（(Rodell et al. 2004)）
  • NLDAS：由美国 NASA GES DISC 发布（(Cosgrove 2003)）
  • CMFD：由何杰等发布（(He et al. 2020)）
  • HWSD v1.0：由联合国粮食及农业组织（FAO）与维也纳国际应用系统分析研究所（IIASA）联合发布
  • MODIS MCD12Q1：由美国 NASA/USGS 发布（(Broxton et al. 2014)）

本说明书在线版本：https://ghdc.ac.cn/guide/CN/

如有问题或建议，请联系：shud@nieer.ac.cn

Broxton, Patrick D., Xubin Zeng, Damien Sulla-Menashe, and Peter A. Troch. 2014. “A Global Land Cover Climatology Using MODIS Data.” Journal of Applied Meteorology and Climatology 53 (6): 1593–605. https://doi.org/10.1175/JAMC-D-13-0270.1.
Cosgrove, Brian A. 2003. “Real-Time and Retrospective Forcing in the North American Land Data Assimilation System (NLDAS) Project.” Journal of Geophysical Research 108 (D22): 8842. https://doi.org/10.1029/2002JD003118.
He, Jie, Kun Yang, Wenjun Tang, et al. 2020. “The First High-Resolution Meteorological Forcing Dataset for Land Process Studies over China.” Scientific Data 7 (1): 25. https://doi.org/10.1038/s41597-020-0369-y.
Rodell, M., P. R. Houser, U. Jambor, et al. 2004. “The Global Land Data Assimilation System.” Bulletin of the American Meteorological Society 85 (3): 381–94. https://doi.org/10.1175/BAMS-85-3-381.
Shu, Lele, Paul A. Ullrich, and Christopher J. Duffy. 2020. “Simulator for Hydrologic Unstructured Domains (SHUD v1.0): numerical modeling of watershed hydrology with the finite volume method.” Geoscientific Model Development 13 (6): 2743–62. https://doi.org/10.5194/gmd-13-2743-2020.
Yamazaki, Dai, Daiki Ikeshima, Jeison Sosa, Paul D. Bates, George H. Allen, and Tamlin M. Pavelsky. 2019. “MERIT Hydro: A High-Resolution Global Hydrography Map Based on Latest Topography Dataset.” Water Resources Research 55 (6): 5053–73. https://doi.org/10.1029/2019WR024873.
舒乐乐, 常燕, 王建, et al. 2022. “Shud数值方法分布式水文模型介绍.” 地球科学进展 37 (7): 680–91. https://doi.org/10.11867/j.issn.1001-8166.2022.025.

References

Broxton, Patrick D., Xubin Zeng, Damien Sulla-Menashe, and Peter A. Troch. 2014. “A Global Land Cover Climatology Using MODIS Data.” Journal of Applied Meteorology and Climatology 53 (6): 1593–605. https://doi.org/10.1175/JAMC-D-13-0270.1.
Cosgrove, Brian A. 2003. “Real-Time and Retrospective Forcing in the North American Land Data Assimilation System (NLDAS) Project.” Journal of Geophysical Research 108 (D22): 8842. https://doi.org/10.1029/2002JD003118.
He, Jie, Kun Yang, Wenjun Tang, et al. 2020. “The First High-Resolution Meteorological Forcing Dataset for Land Process Studies over China.” Scientific Data 7 (1): 25. https://doi.org/10.1038/s41597-020-0369-y.
Rodell, M., P. R. Houser, U. Jambor, et al. 2004. “The Global Land Data Assimilation System.” Bulletin of the American Meteorological Society 85 (3): 381–94. https://doi.org/10.1175/BAMS-85-3-381.
Yamazaki, Dai, Daiki Ikeshima, Jeison Sosa, Paul D. Bates, George H. Allen, and Tamlin M. Pavelsky. 2019. “MERIT Hydro: A High-Resolution Global Hydrography Map Based on Latest Topography Dataset.” Water Resources Research 55 (6): 5053–73. https://doi.org/10.1029/2019WR024873.