Ea SM-3: Collaborative Res: Surface-induced Forcing and Decadal Variability and Change of the East Asian Climate, Surface Hydrology & Agriculture-A Modeling and Data Approach

Ea SM-3：协作研究：地表诱发强迫和年代际变率以及东亚气候、地表水文学的变化

• 批准号: 1419526
• 负责人: Yongkang Xue
• 金额: $ 180万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1419526&HistoricalAwards=false
• 关键词: Ea; SM; Collaborative; Res; Surface

This project will contribute to identifying the attribution of East Asian (EA) precipitation changes to anthropogenic and natural drivers and the effects of climate variability on the ecosystem and water resources. The Tibetan Plateau is the source of major Asian river systems that support more than a billion people downstream. The results from this study will provide useful information for surface hydrology and agriculture, critical for a populous and economically vibrant part of the world. The tools for this EA study can be used for global and other regional studies and the state-of-the-art models developed in this project will be released to the research community. This project will also contribute to a number of educational outreach activities. A fully-coupled Atmospheric/Ocean GCM/biophysical and biogeochemical models/dynamic vegetation model to: examine the improvements in predictions of EA climate variability and change due to surface-induced forcings, including land use and land cover change (LULCC) and dust and black carbon effects and their two-way interactions in reference to predictions in which one or more of those processes and interactions are neglected; to evaluate and attribute the role played in the EA climate variability by these factors and mechanisms; to examine the effects of those processes on future projections of that regional climate; and to estimate uncertainty through a set of experiments. Data from different sources, especially from observations in the Tibetan Plateau (TP), will be applied to evaluate model predictions. In addition, a regional climate model with high resolution will be applied to assess the regional details of effects of surface-atmosphere interactions on the climate and ecosystem of EA, the TP in particular. Through the representation of key non-linear feedback processes in the EaSM, this project has the potential to substantially improve predictive capabilities and to further explain how different Earth processes and human activities have contributed to EA climate variability and changes over much of the last century.

该项目将有助于确定东亚（EA）降水对人为和自然驱动因素的变化以及气候变异性对生态系统和水资源的影响。藏族高原是亚洲主要河流系统的来源，在下游支持超过十亿人。这项研究的结果将为地表水文学和农业提供有用的信息，这对于世界上人口众多且充满活力的部分至关重要。这项EA研究的工具可用于全球和其他区域研究，该项目中开发的最新模型将发布给研究社区。该项目还将为许多教育外展活动做出贡献。完全耦合的大气/海洋GCM/生物物理和生物地球化学模型/动态植被模型：检查EA气候变异性和由于表面引起的强迫造成的预测的改进，包括土地使用和土地覆盖变化（LULCC），以及在某种程度上和更多的相互作用，以参考这些进程和相互作用，以及它们的双向相互作用，或者是这些进程和更多的相互作用，或者是这些过程的互动。通过这些因素和机制评估和归因于EA气候变化中所起的作用；检查这些过程对该区域气候的未来预测的影响；并通过一组实验来估计不确定性。来自不同来源的数据，尤其是来自藏族高原（TP）中的观察结果，将应用于评估模型预测。此外，将采用高分辨率的区域气候模型来评估表面 - 大气相互作用对EA的气候和生态系统的影响，尤其是TP。通过代表EASM中关键的非线性反馈过程，该项目有可能实质上提高预测能力，并进一步解释上个世纪大部分时间内不同的地球过程和人类活动如何导致EA气候变化和变化。

项目成果

Numerical Investigation and Uncertainty Analysis of Eastern China’s Large-Scale Urbanization Effect on Regional Climate

中国东部大规模城镇化对区域气候影响的数值调查与不确定性分析

• DOI: 10.1007/s13351-021-1033-y
• 发表时间: 2021
• 期刊: Journal of Meteorological Research
• 影响因子: 3.2
• 作者: Quan, Jiping;Xue, Yongkang;Duan, Qingyun;Liu, Zhenxin;Oleson, Keith W.;Liu, Ye
• 通讯作者: Liu, Ye

Modeling the short-term fire effects on vegetation dynamics and surface energy in southern Africa using the improved SSiB4/TRIFFID-Fire model

使用改进的 SSiB4/TRIFFID-Fire 模型模拟南部非洲植被动态和地表能量的短期火灾影响

• DOI: 10.5194/gmd-14-7639-2021
• 发表时间: 2021
• 期刊: Geoscientific Model Development
• 影响因子: 5.1
• 作者: Huang, Huilin;Xue, Yongkang;Liu, Ye;Li, Fang;Okin, Gregory S.
• 通讯作者: Okin, Gregory S.

Effects of Dynamic Vegetation on Global Climate Simulation Using the NCEP GFS and SSiB4/TRIFFID

使用 NCEP GFS 和 SSiB4/TRIFFID 动态植被对全球气候模拟的影响

• DOI: 10.1007/s13351-021-1099-6
• 发表时间: 2021
• 期刊: Journal of Meteorological Research
• 影响因子: 3.2
• 作者: Zhang, Zhengqiu;Xue, Yongkang;Zhai, Panmao;Deng, Huiping
• 通讯作者: Deng, Huiping