globalchange  > 过去全球变化的重建
DOI: 10.2172/1208789
报告号: DOE-CREW--SC0011261
报告题名:
Evolving the Land Information System into a Cloud Computing Service
作者: Houser, Paul R.
出版年: 2015
发表日期: 2015-02-17
国家: 美国
语种: 英语
英文关键词: Land ; Water ; Information ; Observation ; Modeling ; Cloud
中文主题词: 地表 ; 干旱 ; 水管理
主题词: LAND SURFACE ; DROUGHT ; WATER MANAGEMENT
英文摘要: The Land Information System (LIS) was developed to use advanced flexible land surface modeling and data assimilation frameworks to integrate extremely large satellite- and ground-based observations with advanced land surface models to produce continuous high-resolution fields of land surface states and fluxes. The resulting fields are extremely useful for drought and flood assessment, agricultural planning, disaster management, weather and climate forecasting, water resources assessment, and the like. We envisioned transforming the LIS modeling system into a scientific cloud computing-aware web and data service that would allow clients to easily setup and configure for use in addressing large water management issues. The focus of this Phase 1 project was to determine the scientific, technical, commercial merit and feasibility of the proposed LIS-cloud innovations that are currently barriers to broad LIS applicability. We (a) quantified the barriers to broad LIS utility and commercialization (high performance computing, big data, user interface, and licensing issues); (b) designed the proposed LIS-cloud web service, model-data interface, database services, and user interfaces; (c) constructed a prototype LIS user interface including abstractions for simulation control, visualization, and data interaction, (d) used the prototype to conduct a market analysis and survey to determine potential market size and competition, (e) identified LIS software licensing and copyright limitations and developed solutions, and (f) developed a business plan for development and marketing of the LIS-cloud innovation. While some significant feasibility issues were found in the LIS licensing, overall a high degree of LIS-cloud technical feasibility was found.
URL: http://www.osti.gov/scitech/servlets/purl/1208789
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资源类型: 研究报告
标识符: http://119.78.100.158/handle/2HF3EXSE/41955
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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Houser, Paul R.. Evolving the Land Information System into a Cloud Computing Service. 2015-01-01.
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