Review on parallel computing of distributed hydrological models
Review on parallel computing of distributed hydrological models
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DOI：
10.11820/dlkxjz.2013.04.006
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发表时间：
2013-05
期刊：
影响因子：
--
通讯作者：
Liu Junzhi
中科院分区：
文献类型：
--
作者：
Liu Junzhi
大流域高分辨率分布式水文模拟需要大量的计算量，现有的水文模型所采用的顺序计算技术无法提供这些计算量，因此需要分布式水文模型的并行计算（空间、时间和子过程），并指出空间区域分解是分布式水文模型并行计算的首选方法，分布式水文模型根据模拟单元间的空间关系，对分布式水文模型并行计算的研究现状进行了介绍，针对目前大部分采用空间区域分解方法进行并行计算的研究，以子流域为基本调度单元进行并行计算，时空离散化方法从时间角度证明了利用并行化进行并行计算的可行性，最后，从并行算法、集成流域系统模拟并行计算框架、分布式水文模型并行计算的高性能输入/输出等几个方面讨论了分布式水文模型并行计算的关键技术和未来研究方向。
High resolution distributed hydrological simulations over large watersheds require very large amounts of computations,which cannot be provided by sequential computation techniques on which existing hydrological models were developed.So parallel computing of distributed hydrological models is needed.In this paper,we first analyzed the parallelizability of distributed hydrological models from three angles(spatial,temporal and sub-process) and pointed out that spatial domain decomposition is the preferred approach to parallel computing of distributed hydrological models.According to spatial relationships among simulation units,distributed hydrological models,as well as simulation methods for hydrological processes,are classified into different types.Then,current studies on parallel computing of distributed hydrological models were introduced.For most current studies on parallel computing using spatial domain decomposition methods,sub-basin was adopted as the basic scheduling unit for parallel computing.The temporal-spatial discretization method proved the feasibility of parallel computing utilizing parallelization from the temporal angle.Last,the key technologies and future research directions were discussed in the following aspects: 1) parallel algorithms;2) parallel computing framework for integrated watershed system simulations;3) high performance input/output for parallel computing of distributed hydrological models.