ARTICLES

Design of an Icon-based Modelling Environment Prototype for Coupling Geoscience Models

Expand
  • 1. School of Civil and Engineering, Shandong Jianzhu University, Jinan 250101, China;
    2. RS &|GIS Institute, Peking University, Beijing 100871, China

Received date: 2010-08-22

  Revised date: 2010-10-26

  Online published: 2011-02-25

Abstract

Model coupling has been a prevalent research method in geoscience recently. Modeling framework is of the same category among various modeling environments by coupling, which gains many applications at present time. But the requirement of the frameworks decreases their usability, and also throws a heavy burden to users, which is researchers have to perform the coding and compiling tasks for coupling models. Taking ESMF as the foundation that is a representative modeling framework, this paper gives a detailed discussion on the problems presented in the research of building an icon-based modeling environment by coupling and their solutions. A methodology of generating codes of coupled models automatically is first proposed according to the coupling modes refined, as well as the relationships implicated by them which are the orders of calling models and the dependency of the input and output variables of coupled models. Then an approach of Open Concept Framework is developed with the purpose of expressing and confirming the semantic similarity between model variables. Based on the OCF and its building foundations, model metadata, a method is designed to verify the spatial and temporal consistency between the coupling models, and the matching between the input and output variables. Lastly, a prototype of icon-based modeling environment by coupling is developed, which implements the methodologies given above. Furthermore, two testing scenes are devised to examine the characters of the prototype. The results indicate that the entire error coupling operations existing in the scenes are refused by the system, and oppositely the correct couplings are accepted completely. Also, valid codes for the accepted coupling models are generated by the system and run in ESMF successfully.

Cite this article

ZHANG Zimin, ZHOU Ying, LI Qi, MAO Xi . Design of an Icon-based Modelling Environment Prototype for Coupling Geoscience Models[J]. Journal of Geo-information Science, 2011 , 13(1) : 48 -57 . DOI: 10.3724/SP.J.1047.2011.00048

References


[1] Argent R M. An Overview of Model Integration for Environmental Applications: Components, Frameworks and Semantics
[J]. Environmental Modelling & Software, 2004, 19(3): 219-234.


[2] 黎夏,刘小平,何晋强,等. 基于耦合的地理模拟优化系统
[J]. 地理学报, 2009, 64(8): 1009-1018.


[3] Graniero P A, Robinson V B. A Probe Mechanism to Couple Spatially Explicit Agents and Landscape Models in an Integrated Modelling Framework
[J]. International Journal of Geographical Information Science, 2006, 20(9): 965-990.


[4] Villa F, Costanza R. Design of Multi-paradigm Integrating Modelling Tools for Ecological Research
[J]. Environmental Modelling and Software, 2000, 15(2): 169-177.


[5] Villa F. Integrating Modelling Architecture: A Declarative Framework for Multi-paradigm, Multi-scale Ecological Modelling
[J]. Ecological Modelling, 2001, 137(1): 23-42.


[6] Benz J, Hoch R, Legovic ' T. ECOBAS: Modelling and Documentation
[J]. Ecological Modelling, 2001, 138(1-3): 3-15.


[7] Hill C, DeLuca C, Balaji V, et al. The Architecture of the Earth System Modeling Framework
[J]. Computing in Science & Engineering, 2004, 6(1): 18-28.


[8] Valcke S, Guilyardi E, Larsson C. PRISM and ENES: A European Approach to Earth System Modelling
[J]. Concurrency and Computation: Practice and Experience, 2006, 18(2): 247-262.


[9] Gregersen J B, Gijsbers P J, Westen S J. OpenMI: Open Modelling Interface
[J]. Journal of Hydroinformatics, 2007, 9(3): 175-191.


[10] Toth G, Sokolov I V, Gombosi T I, et al. Space Weather Modeling Framework: A New Tool for the Space Science Community
[J]. Journal of Geophysical Research (Space Physics), 2005, 110(12): 226-246.


[11] Schmitz O, Karssenberg D, van Deursen W P A, et al. Linking External Components to a Spatio-temporal Modelling Framework: Coupling MODFLOW and PCRaster
[J]. Environmental Modelling & Software, 2009, 24(9): 1088-1099.


[12] Karssenberg D, Burrough P A, Sluiter R, et al. The PCRaster Software and Course Materials for Teaching Numerical Modelling in the Environmental Sciences
[J]. Transactions in GIS, 2001, 5(2): 99-110.


[13] 温永宁,闾国年,杨慧,等. 面向服务的分布式地学模型集成框架研究
[J]. 遥感学报, 2006, 10(2): 160-168.


[14] 于海龙,邬伦,刘瑜,等. 基于Web Services的GIS与应用模型集成研究
[J]. 测绘学报, 2006, 35(2): 153-159,165.


[15] Max Suarez. GEOS-5: An ESMF-Based Modeling and Assimilation System . 5th ESMF Community Meeting, Baltimore, USA, May 23, 2006.


[16] ESMF Joint Specification Team. ESMF User Guide V4.0 . 2010, http://www.earthsystemmodeling.org/esmf_releases/public/last/ESMF_usrdoc.pdf.


[17] 黄宏胜,岳天祥. 基于Web的资源环境模型元数据管理
[J]. 地球信息科学, 2006, 8(3): 94-97,103.


[18] 杨慧,盛业华,温永宁,等. Web环境下异构地理分析模型的标准化和形式化研究
[J]. 地球信息科学, 2008, 10(3): 382-389.


[19] 邓志鸿,唐世渭,张铭,等. Ontology研究综述
[J]. 北京大学学报(自然科学版), 2002, 38(5): 730-737.


[20] Lutz M. Ontology-Based Descriptions for Semantic Discovery and Composition of Geoprocessing Services
[J]. GeoInformatica, 2007, 11(1): 1-36.


[21] 地球系统科学数据共享平台项目组. 地理分析模型地球系统科学分类标准 . http://nnu.geodata.cn.
Outlines

/