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: 2302669
• 负责人: Boniface Fosu
• 金额: $ 14.67万
• 依托单位: Mississippi State 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=2302669&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用数据（年轮宽度，稳定氧同位素比，蓝光强度和网格帕尔默干旱严重程度指数（PDSI）估计），以创建一个季节性分辨率的古径流重建东南亚。研究人员将把重建结果与东南亚水文模型与上个千年的古气候建模相互比较项目第4阶段（PMIP 4）水文气候变量所产生的古径流估计值进行比较。比较将包括评估模拟径流的变异性，比较代理和模型中变异性的主导模式和空间/时间一致性。这些分析试图阐明驱动所观察到的动态的机制。该项目包括支持两名来自代表性不足群体的早期职业研究人员，一名研究生，并计划将本科生纳入研究，开发一个面向公众的交互式网络应用程序，并提供教育材料，以及通过空间和时间的水流可视化，作为帮助为人口稠密地区创建更有效的水管理策略的努力的一部分。该奖项反映了NSF的法定使命，通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。