Global-scale Pareto-optimal calibration of a hydrological model

P3项目的目标是在根据广泛的观测储水量和通量数据集进行参数校准后，利用全球水文模型Water GAP改进对大陆水循环动力学的模拟。为此，在GlobalCDA的第一阶段，P3已经建立了一个基于Pareto最优原则的多目标校准框架(POC：Pareto最优校准方法)。在第二阶段，POC将扩展到无缝的全球范围校准方案。更复杂的水文特征将被考虑作为校准目标，特别是基于经验正交函数分析的针对主要的储水量时空模式的校准的新方法。校准和数据同化(C/DA)计划的最佳设计，包括不确定度评估，将与项目P1至P4一起，在专门的C/DA实验中确定。

The goal of project P3 is to improve the simulation of continental water cycle dynamics with the global hydrological model WaterGAP after parameter calibration against a broad range of observational water storage and flux data sets. To this end, a multi-objective calibration framework based on the principle of Pareto optimality (POC: Pareto-optimal calibration approach) has been set up by P3 in the first phase of GlobalCDA. In the second phase, POC will be expanded to a seamless global-scale calibration scheme. More complex hydrological signatures will be considered as calibration targets, in particular a novel approach for calibration against the dominant spatio-temporal patterns of water storage based on Empirical Orthogonal Function analysis. An optimal design of the calibration and data assimilation (C/DA) scheme including uncertainty assessment will be figured out in dedicated C/DA experiments together with the projects P1 to P4.