TOWARDS A GRID INFRASTRUCTURE FOR HYDRO-METEOROLOGICAL RESEARCH

Michael Schiffers; Dieter Kranzlmüller; Andrea Clematis; Daniele D' Agostino; Antonella Galizia; Alfonso Quarati; Antonio Parodi; Marina Morando; Nicola Rebora; Eva Trasforini; Luca Molini; Franco Siccardi; George Craig; Arnold Tafferner

doi:10.7494/csci.2011.12.0.45

Authors

Michael Schiffers Ludwig-Maximilians-Universität
Dieter Kranzlmüller Ludwig-Maximilians-Universität
Andrea Clematis Institute for Applied Mathematics and Information Technologies
Daniele D' Agostino Institute for Applied Mathematics and Information Technologies
Antonella Galizia Institute for Applied Mathematics and Information Technologies
Alfonso Quarati Institute for Applied Mathematics and Information Technologies
Antonio Parodi CIMA Research Foundation
Marina Morando CIMA Research Foundation
Nicola Rebora CIMA Research Foundation
Eva Trasforini CIMA Research Foundation
Luca Molini CIMA Research Foundation
Franco Siccardi CIMA Research Foundation
George Craig German Aerospace Center (DLR)
Arnold Tafferner German Aerospace Center (DLR)

DOI:

https://doi.org/10.7494/csci.2011.12.0.45

Keywords:

grid computing, high performance computing, hydro-meteorology, e-science

Abstract

The Distributed Research Infrastructure for Hydro-Meteorological Study (DRIHMS) is a coordinatedaction co-funded by the European Commission. DRIHMS analyzes the main issuesthat arise when designing and setting up a pan-European Grid-based e-Infrastructure for researchactivities in the hydrologic and meteorological fields. The main outcome of the projectis represented first by a set of Grid usage patterns to support innovative hydro-meteorologicalresearch activities, and second by the implications that such patterns define for a dedicatedGrid infrastructure and the respective Grid architecture.

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References

Allan B. A., Armstrong R., Bernholdt D. E., Bertrand F., Chiu K., Dahlgren T. L., Damevski K., Elwasif W. R., Epperly T. G. W., Govindaraju M., Katz D. S., Kohl J. A., Krishnan M., Kumfert G., Larson J. W., Lefantzi S., Lewis M. J., Malony A. D., McInnes L. C., Nieplocha J., Norris B., Parker S. G., Ray J., Shende S., Windus T. L., Zhou S. A.: Component Architecture for High-Performance Scientific Computing. International Journal of High Performance Computing Applications, 20(2), 2006, pp. 163–202.

Amagasa T., Kitagawa H., Komano T.: Constructing a Web Service System for Large-scale Meteorological Grid Data. [in:] Proceedings of the 3rd IEEE International Conference on e-Science and Grid Computing (e-Science 2007), 2007, pp. 118–124.

Armstrong C. W., Ford R. W., Riley G. D.: Coupling Integrated Earth System Model Components with BFG2. Concurrency and Computation: Practice & Experience, 21(6), 2009, pp. 767– 91.

Bedrina T., Quarati A., Clematis A., Parodi A., Rudari R.: Using of Mashup Technology for Hydro-Meteorological Research. Geophysical Research Abstracts, 13, EGU2011-13733, 2011. European Geosciences Union General Assembly 2011, Vienna, Austria.

Castronova A. M., Goodall J. L: A Generic Approach for Developing Process- Level Hydrologic Modeling Components. Environmental Modelling & Software, 25(7), 2010, pp. 819–825.

Chow S.-W: PHP Web 2.0 Mashup Projects. Packt Publishing, ISBN 978-1-84719-088-8, 2007.

Clematis A., DAgostino D., Galizia A., Quarati A., Parodi A., Rebora N., Kranzlmller D., Schiffers M.: Selecting High Performance Computing and High Throughput Computing Capabilities for Hydro Meteo Research e-Instrastructures. Invited Presentation at the IEEE International Workshop on High Performance Computing on Complex Environment – HPCCE 2010, Heraklion, Greece, 2010.

CLIVAR: http://www.clivar.org/. (Last checked July 27, 2011).

Cossu R., Petitdidier M., Linford J., Badoux V., Fusco L., Gotab B., Hluchy L., Lecca G., Murgia F., Plevier C., Renard P., Schwichtenberg H., Som de Cerff W., Tran V., Vetois G.: A Roadmap for a Dedicated Earth Science Grid Platform. Earth Science Informatics, 3(3), 2010, pp. 135–148.

COST 731: http://cost731.bafg.de/servlet/is/Entry.9691.Display/. (Last checked July 27, 2011).

Craig G. C., Parodi A.: Results of the Questionnaires HMR. Deliverable D2.2 of the DRIHMS Project; http://www.drihms.eu/project/material/ Deliverable_D2.2_revised_DRIHMS.pdf, 2010. (Last checked July 27, 2011).

DRIHMS Project Web Site: http://www.drihms.eu. (Last checked July 27, 2011).

D’Agostino D., Seinstra F. J.: An Efficient Isosurface Extraction Component for Visualization Pipelines Based on the CUDA Architecture. Technical Report IRCS- 64-2010, Vrije Universiteit, Amsterdam, The Netherlands, 2010.

e-Infrastructure Reflection Group: e-IRG White Paper 2011. Report of the e-Infrastructure Reflection Group, 2011.

EDGI Project: http://edgi-project.eu/. (Last checked July 27, 2011).

European Commission, INSPIRE Directive: http://inspire.jrc.ec.europa.eu/. (Last checked July 27, 2011).

FloodProBE: http://www.floodprobe.eu/. (Last checked July 27, 2011).

FLOODsite: http://www.floodsite.net/. (Last checked July 27, 2011).

Foster I., Kesselman C., Tuecke S.: The anatomy of the grid: Enabling scalable virtual organizations. International Journal of High Performance Computing Applications, 15(3), 2001, pp. 200–222.

Galizia A., Queijo C. C.: Exploiting the Finis Terrae Supercomputer to Improve the Characterization of Spatio-Temporal Predictability of Severe Weather Events. Geophysical Research Abstracts, 13, EGU2011-13791, 2011. European Geosciences Union General Assembly 2011, Vienna, Austria.

GMES: http://www.gmes.info/. (Last checked July 27, 2011).

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

Harpham Q: Private Communication. 2011.

Horsburgh J. S., Tarboton D. G., Maidment D. R., Zaslavsky I.: A Relational Model for Environmental and Water Resources Data. Water Resources Research, 44(5), 2008.

HyMeX: http://www.hymex.org/. (Last checked July 27, 2011).

IMPRINTS: http://www.imprints-fp7.eu/. (Last checked July 27, 2011).

Jagers H. R. A.: Linking Data, Models and Tools: An Overview. [in:] Proceedings of the 2010 International Congress on Environmental Modelling and Software Modelling for Environments Sake, Ottawa, Canada. 2010.

Keiichirou U., Toshiyuki A., Hiroyuki K.: A FUSE-Based Tool for Accessing Meteorological Data in Remote Servers. [in:] Proceedings of the 20th International Conference on Scientific and Statistical Database Management, volume 5069 of Springer Lecture Notes in Computer Science, Springer, Berlin, 2008, pp. 592–597.

Le Phuoc D., Parreira J. X., Hausenblas M., Han Y., Hauswirth M.: Live Linked Open Sensor Database. [in:] Proceedings of the 6th International Conference on Semantic Systems (I-SEMANTICS 10), Graz, Austria. 2010.

MAP–D–PHASE: http://www.map.meteoswiss.ch/map-doc/dphase/dphase_info.htm. (Last checked July 27, 2011).

MEDEX: http://medex.aemet.uib.es/. (Last checked July 27, 2011).

National Oceanic and Atmospheric Administration: http://www.opengeospatial.org/ogc/programs/ocap. (Last checked July 27,2011).

Open Grid Forum: http://www.ogf.org/. (Last checked July 27, 2011).

Open Grid Forum Production Grid Infrastructure: http://www.ogf.org/gf/group_info/view.php?group=pgi-wg. (Last checked July 27, 2011).

Organization for the Advancement of Structured Information Standards: http://www.oasis-open.org/. (Last checked July 27, 2011).

Outreach and Community Adoption Program, Open Geospatial Consortium: http://www.opengeospatial.org/ogc/programs/ocap. (Last checked July 27,2011).

Ploski J., Scherp G., Petroliagis T. I., Büchner O., Hasselbring W.: Grid-Based Deployment and Performance Measurement of the Weather Research & Forecasting Model. Future Generation Computer Systems, 25(3), 2009, pp. 346–350.

PREVIEW: http://www.preview-risk.com. (Last checked July 27, 2011).

PRISM: http://www.prism.enes.org. (Last checked July 27, 2011).

Quarati A., Rebora N., Schiffers M.: Filling the Gap Between ICT and HydroMeteo Research Communities: The DRIHMS Project. ERCIM News, (85), 2011, pp. 55–56.

Rao I., Huh E., Lim S.: An Adaptive and Efficient Design and Implementation for Meteorology Data Grid Using Grid Technology. [in:] Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 06), Manchester, United Kingdom, 2006, pp. 239–246.

Sanyal J., Zhang S., Dyer J., Mercer A., Amburn P., Moorhead R. J.: Noodles: A Tool for Visualization of Numerical Weather Model Ensemble Uncertainty. IEEE Transactions on Visualization and Computer Graphics, 16(6), 2010, pp. 1421-1430.

Schiffers M., Parodi A.: Results of the Questionnaires Grid. Deliverable D3.2 of the DRIHMS Project; http://www.drihms.eu/project/material/ Deliverable_D3.2_revised_DRIHMS.pdf, 2010. (Last checked July 27,2011).

The Earth System Modeling Framework: http://www.earthsystemmodeling.org/. (Last checked July 27, 2011).

Van der Z. J., Vickery R. J., Moorhead R.: Vortex Detection Through the Visualization Toolkit. [in:] Proceedings of the 2009 DoD High Performance Computing Modernization Program User Group Conference, San Diego, USA, IEEE Computer Society, 2009, pp. 395–397.

YahooWeather: http://weather.yahoo.com. (Last checked July 27, 2011).