The parallel system for integrating impact models and sectors (pSIMS)

被引:102
作者
Elliott, Joshua [1 ,2 ]
Kelly, David [1 ,2 ]
Chryssanthacopoulos, James [3 ]
Glotter, Michael [4 ]
Jhunjhnuwala, Kanika [5 ]
Best, Neil [1 ]
Wilde, Michael [1 ,2 ]
Foster, Ian [1 ,2 ,6 ]
机构
[1] Univ Chicago, Computat Inst, 5735 S Ellis Ave, Chicago, IL 60637 USA
[2] Argonne Natl Lab, Math & Comp Sci Div, Argonne, IL 60439 USA
[3] Columbia Univ, Ctr Climate Syst Res, New York, NY 10025 USA
[4] Univ Chicago, Dept Geophys Sci, Chicago, IL 60637 USA
[5] New Zealand Landcare Res, Auckland 1072, New Zealand
[6] Univ Chicago, Dept Comp Sci, Chicago, IL 60637 USA
基金
美国国家科学基金会;
关键词
Climate change impacts; adaptation; and vulnerabilities (VIA); Parallel computing; Data processing and standardization; Crop modeling; Forestry modeling; Multi-model; Ensemble simulation; CLIMATE-CHANGE; AGRICULTURAL PRODUCTION; LARGE-SCALE; SIMULATION; PATTERNS;
D O I
10.1016/j.envsoft.2014.04.008
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We present a framework for massively parallel climate impact simulations: the parallel System for Integrating Impact Models and Sectors (pSIMS). This framework comprises a) tools for ingesting and converting large amounts of data to a versatile datatype based on a common geospatial grid; b) tools for translating this datatype into custom formats for site-based models; c) a scalable parallel framework for performing large ensemble simulations, using any one of a number of different impacts models, on clusters, supercomputers, distributed grids, or clouds; d) tools and data standards for reformatting outputs to common datatypes for analysis and visualization; and e) methodologies for aggregating these datatypes to arbitrary spatial scales such as administrative and environmental demarcations. By automating many time-consuming and error-prone aspects of large-scale climate impacts studies, pSIMS accelerates computational research, encourages model intercomparison, and enhances reproducibility of simulation results. We present the pSIMS design and use example assessments to demonstrate its multi-model, multi-scale, and multi-sector versatility. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:509 / 516
页数:8
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