globalchange  > 气候变化事实与影响
项目编号: DE-SC0014699
项目名称:
Model-Data Fusion Approaches for Retrospective and Predictive Assessment of the Pan-Arctic Scale Permafrost Carbon Feedback to Global Climate
作者: Hayes, Daniel
承担单位: University of Maine, Orono, ME
批准年: 2015
开始日期: 2015-12-15
结束日期: 2018-12-14
资助金额: USD150000
资助来源: US-DOE
项目类别: Grant
国家: US
语种: 英语
特色学科分类: Terrestrial Ecosystem Science
英文关键词: pan-arctic ; predictive assessment ; pan-arctic scale permafrost carbon feedback ; model-data fusion approach ; model-data
资源类型: 项目
标识符: http://119.78.100.158/handle/2HF3EXSE/105251
Appears in Collections:气候变化事实与影响

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Hayes, Daniel. Model-Data Fusion Approaches for Retrospective and Predictive Assessment of the Pan-Arctic Scale Permafrost Carbon Feedback to Global Climate. 2015-01-01.
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