Droppers Bram, Rakovec Oldrich, Avila Leandro, Azimi Shima, Cortés-Torres Nicolás, De León Pérez David, Imhoff Ruben, Francés Félix, Kollet Stefan, Rigon Riccardo, Weerts Albrecht, Samaniego Luis
Department of Physical Geography, Utrecht University, P.O. Box 80.115, 3508 TC, Utrecht, The Netherlands.
Department of Computational Hydrosystems, UFZ-Helmholtz Centre for Environmental Research, Permoserstraße 15, 04318, Leipzig, Germany.
Sci Data. 2024 Sep 17;11(1):1009. doi: 10.1038/s41597-024-03825-9.
Although Essential Climate Variables (ECVs) have been widely adopted as important metrics for guiding scientific and policy decisions, the Earth Observation (EO) and Land Surface and Hydrologic Model (LSM/HM) communities have yet to treat terrestrial ECVs in an integrated manner. To develop consistent terrestrial ECVs at regional and continental scales, greater collaboration between EO and LSM/HM communities is needed. An essential first step is assessing the LSM/HM simulation uncertainty. To that end, we introduce a new hydrological reference dataset that comprises a range of 19 existing LSM/HM simulations that represent the current state-of-the-art of our LSM/HMs. Simulations are provided on a daily time step, covering Europe, notably the Rhine and Po river basins, alongside the Tugela river basin in Africa, and are uniformly formatted to allow comparisons across simulations. Furthermore, simulations are comprehensively validated with discharge, evapotranspiration, soil moisture and total water storage anomaly observations. Our dataset provides valuable information to support policy development and serves as a benchmark for generating consistent terrestrial ECVs through the integration of EO products.
尽管基本气候变量（ECV）已被广泛用作指导科学和政策决策的重要指标，但地球观测（EO）以及陆面和水文模型（LSM/HM）领域尚未以综合方式处理陆地ECV。为了在区域和大陆尺度上开发一致的陆地ECV，EO和LSM/HM领域需要加强合作。至关重要的第一步是评估LSM/HM模拟的不确定性。为此，我们引入了一个新的水文参考数据集，该数据集包含19个现有LSM/HM模拟结果，代表了我们当前LSM/HM的最新水平。模拟以每日时间步长提供，覆盖欧洲，特别是莱茵河和波河流域，以及非洲的图盖拉河流域，并且格式统一，以便于跨模拟进行比较。此外，模拟结果通过流量、蒸散、土壤湿度和总蓄水量异常观测进行了全面验证。我们的数据集为支持政策制定提供了有价值的信息，并作为通过整合EO产品生成一致的陆地ECV的基准。
