VGE-CUGrid: An integrated platform for efficient configuration,computation, and visualization of MM5 |
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| Authors: | Bingli Xu Hui Lin Long S. Chiu Sammy Tang Jimmy Cheung Ya Hu Liping Zeng |
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| Affiliation: | 1. Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China;2. Department of Information Engineering, Academy of Armored Forces Engineering, Beijing 100072, China;3. Information Technology Services Centre, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China;4. Department of Atmospheric Sciences, School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China;1. Department of Immunology, Institute for Biological Research “Sinisa Stankovic”, University of Belgrade, Bulevar despota Stefana 142, 11060 Belgrade, Serbia;2. Department of Oral, Maxillary, Facial and Reconstructive Plastic Surgery, University Hospital of Leipzig, 04103 Leipzig, Germany;3. Department of Chemistry, Institute of Chemistry, Technology and Metallurgy, University of Belgrade, Studentski trg 12-16, 11000 Belgrade, Serbia;4. Institute of Inorganic Chemistry, Leipzig University, Johannisallee 29, D-04103 Leipzig, Germany;5. Department of Molecular Biology, Institute for Biological Research “Sinisa Stankovic”, University of Belgrade, Bulevar despota Stefana 142, 11060 Belgrade, Serbia;6. Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, Weinberg 3, D 06120 Halle (Saale), Germany;1. INQUINOA-CONICET, Instituto de Química Orgánica, Facultad de Bioquímica Química y Farmacia, Universidad Nacional de Tucumán, Ayacucho 471, 4000. S. M. de Tucumán, Tucumán, Argentina;2. Cátedra de Química General, Instituto de Química Inorgánica, Facultad de Bioquímica, Química y Farmacia, Universidad Nacional de Tucumán, Ayacucho 471, 4000. San Miguel de Tucumán, Tucumán, Argentina;3. Instituto de Ecología Regional (IER), Facultad de Ciencias Naturales, Universidad Nacional de Tucumán, C.C. 34, 4107 Yerba Buena, Tucumán, Argentina |
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| Abstract: | The platform of VGE-CUGrid integrates a computational grid (CUGrid) and a virtual geographic environment (VGE) to enable an efficient life-cycle process of MM5. The CUGrid is used to speed up MM5 computation. The VGE, which is supported by an underlying GIS system and virtual reality, is adopted as the friendly and efficient interface for initiation, computation, and visualization and analysis of MM5. |
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