Postdoc: Parallel Implementation of Modeling & Analyis of the Terrestrial Ecosystems' Response to the Changing Global Climate

博士后：建模的并行实现

• 批准号: 9625799
• 负责人: Jery Stedinger
• 金额: $ 4.62万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-09-15 至 2000-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9625799&HistoricalAwards=false
• 关键词: Postdoc; Parallel; Implementation; Modeling; &amp

This project involves three aspects. First, it will attempt to investigate the impacts of the changing global climate on terrestrial ecosystems at global scale; second, it will tackle the handling of massive data sets from remote sensing of vegetation using parallel mechanisms employing the new IBM High Performance Storage System (HPCC) connecting the SP2 platform; and third; it will design parallel algorithms for ecosystems modeling. All three aspects will be integrated to address the following scientific questions. The seasonal amplitude of CO2 concentration has been increasing since at least the mid 1970's, suggesting an increase in CO2 absorption through photosynthesis and CO2 release through respiration. In addition, the trough of the seasonal curve has been occurring earlier in the season, with the CO2 draw down occurring faster. Assuming these phenomena are caused by the warming temperature and changing patterns in precipitation especially since mid-1970's, the PIs propose to study the interaction among climatic variables, terrestrial ecosystems, and atmospheric CO2 concentrations employing the massive datasets available through remote sensing technology and ground records.

该项目涉及三个方面。 首先，它将尝试调查全球气候变化对全球范围内陆地生态系统的影响;其次，它将使用连接SP2平台的新IBM高性能存储系统（HPCC）的并行机制处理来自植被遥感的大量数据集;第三，它将设计生态系统建模的并行算法。 所有这三个方面将被整合，以解决以下科学问题。 至少从20世纪70年代中期以来，CO2浓度的季节幅度一直在增加，这表明通过光合作用吸收CO2和通过呼吸释放CO2的增加。 此外，季节性曲线的低谷出现在季节的早些时候，二氧化碳的下降速度更快。 假设这些现象是由温度升高和降水模式变化引起的，特别是自20世纪70年代中期以来，PI建议使用通过遥感技术和地面记录获得的大量数据集来研究气候变量，陆地生态系统和大气CO2浓度之间的相互作用。