globalchange  > 过去全球变化的重建
DOI: 10.2172/1325486
报告号: ORNL/TM-2016/486
报告题名:
Processing and Monthly Summaries of Downscaled Climate Data for Knoxville, Tennessee and Surrounding Region
作者: Sylvester, Linda; Omitaomu, Olufemi A.; Parish, Esther S.; Allen, Melissa
出版年: 2016
发表日期: 2016-09-01
国家: 美国
语种: 英语
中文主题词: 降水
主题词: PRECIPITATION
英文摘要: Oak Ridge National Laboratory (ORNL) and the City of Knoxville, Tennessee have partnered to work on a Laboratory Directed Research and Development (LDRD) project towards investigating climate change, mitigation, and adaptation measures in mid-sized cities. ORNL has statistically and dynamically downscaled ten Global Climate Models (GCMs) to both 1 km and 4 km resolutions. The processing and summary of those ten gridded datasets for use in a web-based tool is described. The summaries of each model are shown individually to assist in determining the similarities and differences between the model scenarios. The variables of minimum and maximum daily temperature and total monthly precipitation are summarized for the area of Knoxville, Tennessee for the periods of 1980-2005 and 2025-2050.
URL: http://www.osti.gov/scitech/servlets/purl/1325486
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资源类型: 研究报告
标识符: http://119.78.100.158/handle/2HF3EXSE/42024
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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Recommended Citation:
Sylvester, Linda,Omitaomu, Olufemi A.,Parish, Esther S.,et al. Processing and Monthly Summaries of Downscaled Climate Data for Knoxville, Tennessee and Surrounding Region. 2016-01-01.
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