欧洲大陆和非洲盆地的多模型水文参考数据集
Bram Droppers1, Oldrich Rakovec2,3, Leandro Avila4
1Department of Physical Geography, Utrecht University, P.O. Box 80.115, 3508 TC, Utrecht, The Netherlands. b.droppers@uu.nl.
Scientific data
|September 17, 2024
概括
这项研究引入了一个新的水文数据集来评估土地表面和水文模型 (LSM/HM) 的不确定性. 它旨在促进地球观测 (EO) 和LSM/HM社区之间的合作,以获得一致的陆地基本气候变量 (ECV).
科学领域:
- 地球系统科学 地球系统科学
- 水文学的水文学
- 气候科学 气候科学
- 遥感 遥感 遥感 遥感
背景情况:
- 基本气候变量 (ECV) 对科学和政策决策至关重要.
- 陆地ECV尚未被地球观测 (EO) 和陆地表面和水文模型 (LSM/HM) 社区以综合的方式处理.
- 需要在EO和LSM/HM社区之间加强合作,以便在区域和大陆范围内保持一致的陆地ECV.
研究的目的:
- 引入一个新的水文参考数据集来评估LSM/HM模拟不确定性.
- 通过EO产品的整合,为生成一致的地面ECV提供一个基准.
- 促进EO和LSM/HM社区之间的合作.
主要方法:
- 19个最先进的LSM/HM模拟的汇编.
- 模拟提供每日时间步骤,涵盖欧洲 (莱河,河盆地) 和非洲 (图格拉盆地).
- 统一格式用于交叉模拟比较和验证放电,蒸发,土壤水分和总储水异常观测.
主要成果:
- 建立了一个全面的水文参考数据集.
- 数据集代表了当前在LSM/HM模拟中最先进的状态.
- 模拟对多次陆地水文观测进行了验证.
结论:
- 开发的数据集是评估LSM/HM不确定性的宝贵工具.
- 它作为生成一致的地面ECV的基准.
- 该数据集支持政策制定,并促进EO和LSM/HM社区之间的整合.
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