Experimental FZJ ParFlow DE06 hydrologic forecasts

The dataset entails experimental ParFlow hydrologic model forecast simulations by BELLEFLAMME, HAMMOUDEH, GOERGEN, and KOLLET. The basic setup and configuration is described in "Belleflamme et al. (2023): Hydrological forecasting at impact scale: the integrated ParFlow hydrological model at 0.6 km for climate resilient water resource management over Germany, Frontiers in Water, https://doi.org/10.3389/frwa.2023.1183642". The open access research dataset contains experimental simulation results and derived diagnostics from ParFlow hydrologic model runs at high spatial resolution (611m) over Germany and surrounds (all European river basins affecting Germany are included) of (i) daily 9-day deterministic forecasts, (ii) two-daily 9-day ensemble forecasts statistics, and (iii) hindcasts from 2011 to 2023, which serve as a climatology and a baseline for anomaly calculation. The data provided contains relevant variables of the terrestrial hydrological cycle, including groundwater-related quantities. The dataset specification has been elaborated based on a co-design approach with stakeholders from various sectors with primary inputs from agriculture.

本数据集包含由BELLEFLAMME、HAMMOUDEH、GOERGEN与KOLLET开展的ParFlow水文模型（ParFlow hydrologic model）实验预报模拟。其基础设置与配置详见《Belleflamme等人（2023）：面向气候韧性水资源管理的影响尺度水文预报——德国境内0.6 km分辨率集成ParFlow水文模型》，刊载于《Frontiers in Water》，DOI：10.3389/frwa.2023.1183642。该开放获取研究数据集包含高空间分辨率（611米）下的ParFlow水文模型运行所产生的实验模拟结果与衍生诊断数据，覆盖德国及周边区域（涵盖所有影响德国的欧洲流域），具体包含三类内容：(i) 每日更新的9天确定性预报结果；(ii) 每两日更新的9天集合预报统计量；(iii) 2011年至2023年的后报数据，可作为气候态基准与异常值计算的参照基线。所提供的数据涵盖陆地水文循环的相关变量，其中包含与地下水相关的各类参量。本数据集的规范说明基于跨多部门利益相关方的协同设计方法制定，农业领域为其提供了核心输入。