A Systematic Approach for Hydrological Model Couplings


It is of great importance to develop a systematic framework to integrate and coordinate software components to effectively and efficiently accomplish complex hydrological modeling tasks. In this paper, we examine the state-of-art information technologies including service-oriented architecture, and propose a systematic approach based on service-oriented architecture and scientific workflow to investigate the general model coupling problems. A prototype system, MoteWS, based on web services for publishing field measurement data from wireless sensor networks is developed to preliminarily explore and test our proposed architecture. Results and lessons learned are discussed and future recommendations in this direction are provided.

Share and Cite:

D. Salas, X. Liang and Y. Liang, "A Systematic Approach for Hydrological Model Couplings," International Journal of Communications, Network and System Sciences, Vol. 5 No. 6, 2012, pp. 343-352. doi: 10.4236/ijcns.2012.56045.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] E. Delman, M. Ellisman, T. Fahringer, G. Fox, D. Gannon, et al., “Examining the Challenges of Scientific Workflows,” Computer, Vol. 40, No. 12, 2007, pp. 24-32. doi:10.1109/MC.2007.421
[2] S. M. Guru, M. Kearney, P. Fitch and C. Peters, “Challenges in Using Scientific Workflow Tools in the Hydrology Domain,” The 18th Worlds IMACS MODSIM Congress, Cairns, 13-17 July 2009, pp. 3514-3520.
[3] A. Goderis, C. Brooks, I. Altintas, E. A. Lee and C. Goble, “Heterogeneous Composition of Models of Computation,” Future Generation Computer Systems, Vol. 25, No. 5, 2009, pp. 552-560. doi:10.1016/j.future.2008.06.014
[4] M. J. Fairman, A. R. Price, G. Xue, M. Molinari, D. A. Nicole, T. M. Lenton, et al., “Earth System Modeling with Windows Workflow Foundation,” Future Generation Computer Systems, Vol. 25, No. 5, 2009, pp. 586-597. doi:10.1016/j.future.2008.06.011
[5] Q. H. Shao, P. Sun and Y. Chen, “Efficiently Discovering Critical Workflows in Scientific Exploration,” Future Generation Computer Systems, Vol. 25, No. 5, 2009, pp. 577-585. doi:10.1016/j.future.2008.06.005
[6] Cyberinfrastructure for Environmental Research and Education, “Report from a Workshop Held at the National Center for Atmospheric Research,” 30 October 2002.
[7] F. C. Delicato, P. F. Pires, L. Pirmez and L. F. Rust da Costa, “A Flexible Web Service Based Architecture for Wireless Sensor Networks”, Proceedings of the 23rd International Conference on Distributed Computing Systems, Providence, 19-22 May 2003, pp. 730-835.
[8] Guru, Taylor, Neuhaus, Shu, Smith, Terhorst, “Hydrological Sensor Web for the South Esk Catchment in the Tasmanian State of Australia,” Fourth IEEE International Conference on eScience, Indianapolis, 7-12 December 2008, pp. 432-433. doi:10.1109/eScience.2008.89
[9] J. Leguay, M. Lopez-Ramos, K. Jean-Marie and V. Conan, “An Efficient Service Oriented Architecture for Heterogeneous and Dynamic Wireless Sensor Networks,” The 33rd IEEE Conference on Local Computer Networks, Bonn, 14-17 October 2008, pp. 740-747. doi:10.1109/LCN.2008.4664275
[10] R. S. Govindaraju, B. Engel, D. Ebert, B. Fossum, M. Huber, C. Jafvert, et al., “Vision of Cyberinfrastructure for End-to-End Environmental Explorations,” Journal of Hydrologic Engineering, Vol. 14, No. 1, 2009, pp. 53-64. doi:10.1061/(ASCE)1084-0699(2009)14:1(53)

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.