Collaborative Research: Ultra-High Resolution Paleostreamflow in Southeast Asia--Proxy/Model Comparison

合作研究：东南亚超高分辨率古水流——代理/模型比较

• 批准号: 2302668
• 负责人: Hung Nguyen
• 金额: $ 38.59万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-11-15 至 2026-10-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2302668&HistoricalAwards=false
• 关键词: Collaborative; Research; Ultra; Resolution; Paleostreamflow

The goal of this project is to synthesize existing tree-ring proxy data (ring width, stable oxygen isotope ratios, blue light intensity, and gridded Palmer Drought Severity Index (PDSI) estimates) to create a seasonal-resolution paleo-streamflow reconstruction for Southeast Asia. The investigators will compare the reconstruction to paleo-streamflow estimates generated by forcing a Southeast Asia hydrological model with Paleoclimate Modelling Intercomparison Project Phase 4 (PMIP4) hydroclimate variables for the last millennium. The comparisons will include assessment of variability in modeled streamflow and comparison of dominant modes and spatial/temporal coherency of variability in the proxies and models. These analyses seek to illuminate the mechanisms that drive the observed dynamics. The project includes support of two early career researchers from underrepresented groups, a graduate student and plans to include undergraduates in the research, development of an interactive public-facing web application with educational materials, and visualization of streamflow through space and time as part of an effort to help create more effective water management strategies for a densely populated region.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.

该项目的目标是综合现有的树木年轮代理数据（年轮宽度、稳定氧同位素比、蓝光强度和网格化帕尔默干旱严重度指数（PDSI）估计），以创建东南部季节分辨率的古水流重建亚洲。研究人员将重建结果与古水流估计值进行比较，该估计值是通过使用古气候建模比对项目第四阶段（PMIP4）过去千年的水文气候变量强制建立东南亚水文模型而生成的。比较将包括对模拟水流变异性的评估以及代理和模型中主导模式和变异性的空间/时间一致性的比较。这些分析旨在阐明驱动观察到的动态的机制。该项目包括对来自代表性不足群体的两名早期职业研究人员、一名研究生的支持，并计划让本科生参与研究，开发带有教育材料的交互式公众网络应用程序，以及作为研究的一部分的空间和时间流的可视化。努力帮助为人口稠密的地区制定更有效的水管理战略。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。