Global S&T Development Trend Analysis Platform of Resources and Environment
| 项目编号 | 1841308 |
| Using Large Ensemble Simulations from Multiple Global Climate Models to Quantify the Internal Decadal Climate Variability | |
| Yangyang Xu (Principal Investigator) | |
| 主持机构 | Texas A&M University Main Campus |
| 项目开始年 | 2019 |
| 2019-06-01 | |
| 项目结束日期 | 2022-05-31 |
| 资助机构 | US-NSF |
| 项目类别 | Standard Grant |
| 项目经费 | 520107(USD) |
| 国家 | 美国 |
| 语种 | 英语 |
| 英文摘要 | Natural variability of climate at decadal timescale can have profound regional impact. Due to the limited length of the observational record, there is a lack of quantitative understanding of decadal climate variability. The overall goal of this proposal is to take advantage of the large ensemble simulations from several climate modeling groups to improve the understanding of internal climate variability. The findings of this project will provide insights into the characteristic, regional influence, and future evolution of decadal variability. The research outcome will provide valuable quantitative climate information broadly useful to other research fields as well a variety of disciplines such as ecological response and urban planning. The integrated knowledge will better prepare the society for the climatic trend at regional scale. Through this project, two graduate students will be trained in the fields of climate modeling and statistical analysis. The researchers will investigate how to separate internally decadal variability from the externally forced centennial trend using a large ensemble approach. They will develop decadal variability indices with a suite of hydroclimate related properties such as aridity, drought index and soil moisture conditions in order to quantify the regional influence. The project also aims to assess the potential impact of the centennial warming on the decadal variability. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. |
| 文献类型 | 项目 |
| 条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/212999 |
| 专题 | 环境与发展全球科技态势 |
| 推荐引用方式 GB/T 7714 | Yangyang Xu .Using Large Ensemble Simulations from Multiple Global Climate Models to Quantify the Internal Decadal Climate Variability.2019. |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论