A modular and parallelized watershed modeling framework
It is necessary to develop a flexible and extensible watershed modeling framework with the support of parallel computing to conduct long-term high-resolution simulations over large areas with diverse watershed characteristics. This paper introduced an open-source, modular, and parallelized watershed...
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| Vydáno v: | Environmental modelling & software : with environment data news Ročník 122; s. 104526 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Oxford
Elsevier Ltd
01.12.2019
Elsevier Science Ltd |
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| ISSN: | 1364-8152, 1873-6726 |
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| Abstract | It is necessary to develop a flexible and extensible watershed modeling framework with the support of parallel computing to conduct long-term high-resolution simulations over large areas with diverse watershed characteristics. This paper introduced an open-source, modular, and parallelized watershed modeling framework called SEIMS (short for Spatially Explicit Integrated Modeling System) to meet this need. First, a flexible modular structure with standard interfaces was designed, in which each module corresponds to one simulation algorithm for a watershed subprocess. Then, a parallel-computing middleware based on an improved two-level parallel computing approach was constructed to speed up the computational efficiency. With SEIMS, users can add their own algorithms in a nearly serial programming manner and construct parallelized watershed models. SEIMS also supports model level parallel computation for applications which need numerous model runs. The effectiveness and efficiency of SEIMS were illustrated through the simulation of streamflow in the Youwuzhen watershed, Southeastern China.
•A modular and parallelized watershed modeling framework was developed.•The modular structure of watershed processes modeling is easy to learn and extend.•Develop new parallelized watershed models in a nearly serial programming manner.•Compatible with common operating systems and parallel computing platforms. |
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| AbstractList | It is necessary to develop a flexible and extensible watershed modeling framework with the support of parallel computing to conduct long-term high-resolution simulations over large areas with diverse watershed characteristics. This paper introduced an open-source, modular, and parallelized watershed modeling framework called SEIMS (short for Spatially Explicit Integrated Modeling System) to meet this need. First, a flexible modular structure with standard interfaces was designed, in which each module corresponds to one simulation algorithm for a watershed subprocess. Then, a parallel-computing middleware based on an improved two-level parallel computing approach was constructed to speed up the computational efficiency. With SEIMS, users can add their own algorithms in a nearly serial programming manner and construct parallelized watershed models. SEIMS also supports model level parallel computation for applications which need numerous model runs. The effectiveness and efficiency of SEIMS were illustrated through the simulation of streamflow in the Youwuzhen watershed, Southeastern China.
•A modular and parallelized watershed modeling framework was developed.•The modular structure of watershed processes modeling is easy to learn and extend.•Develop new parallelized watershed models in a nearly serial programming manner.•Compatible with common operating systems and parallel computing platforms. It is necessary to develop a flexible and extensible watershed modeling framework with the support of parallel computing to conduct long-term high-resolution simulations over large areas with diverse watershed characteristics. This paper introduced an open-source, modular, and parallelized watershed modeling framework called SEIMS (short for Spatially Explicit Integrated Modeling System) to meet this need. First, a flexible modular structure with standard interfaces was designed, in which each module corresponds to one simulation algorithm for a watershed subprocess. Then, a parallel-computing middleware based on an improved two-level parallel computing approach was constructed to speed up the computational efficiency. With SEIMS, users can add their own algorithms in a nearly serial programming manner and construct parallelized watershed models. SEIMS also supports model level parallel computation for applications which need numerous model runs. The effectiveness and efficiency of SEIMS were illustrated through the simulation of streamflow in the Youwuzhen watershed, Southeastern China. |
| ArticleNumber | 104526 |
| Author | Zhu, A-Xing Liu, Junzhi Qin, Cheng-Zhi Zhu, Liang-Jun |
| Author_xml | – sequence: 1 givenname: Liang-Jun orcidid: 0000-0001-6181-4313 surname: Zhu fullname: Zhu, Liang-Jun email: zlj@lreis.ac.cn organization: State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China – sequence: 2 givenname: Junzhi surname: Liu fullname: Liu, Junzhi email: liujunzhi@njnu.edu.cn organization: School of Geography, Nanjing Normal University, Nanjing, 210023, China – sequence: 3 givenname: Cheng-Zhi orcidid: 0000-0002-5910-9807 surname: Qin fullname: Qin, Cheng-Zhi email: qincz@lreis.ac.cn organization: State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China – sequence: 4 givenname: A-Xing surname: Zhu fullname: Zhu, A-Xing email: azhu@wisc.edu organization: State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China |
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| Keywords | Watershed process simulation Watershed modeling framework Modular Parallelization SEIMS |
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