Worldwide, billions of people rely on fresh groundwater reserves for their domestic, agricultural and industrial water use. Extreme droughts and excessive groundwater pumping put pressure on water authorities in maintaining sustainable water usage. High-resolution integrated models are valuable assets in supporting them. The Netherlands Hydrological Instrument (NHI) provides the Dutch water authorities with open source modeling software and data. However, NHI integrated groundwater models often require long run times and large memory usage, therefore strongly limiting their application. As a solution, we present a distributed memory parallelization, focusing on the National Hydrological Model. Depending on the level of integration, we show that significant speedups can be obtained up to two orders of magnitude. As far as we know, this is the first reported integrated groundwater parallelization of an operational hydrological model used for national-scale integrated water management and policy making. The parallel model code and data are freely available.

在世界范围内，数十亿人依靠淡水储备来进行生活、农业和工业用水。极端干旱和过度抽取地下水给水务部门维持可持续用水带来压力。高分辨率集成模型是支持它们的宝贵资产。荷兰水文仪器 (NHI) 为荷兰水务部门提供开源建模软件和数据。然而，NHI 集成地下水模型通常需要较长的运行时间和大量的内存使用，因此严重限制了它们的应用。作为解决方案，我们提出了分布式内存并行化，重点关注国家水文模型。根据集成水平，我们表明可以获得高达两个数量级的显着加速。据我们所知，这是首次报道的用于国家级综合水资源管理和决策的业务水文模型的综合地下水并行化。并行模型代码和数据是免费提供的。