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

该项目的目标是综合现有的树木年轮代理数据(年轮宽度、稳定的氧同位素比率、蓝光强度和网格Palmer干旱严重程度指数(PDSI)估计值)，以创建东南亚地区季节性分辨率的古径流重建。研究人员将把重建结果与过去1000年东南亚水文模型和古气候模拟对比项目第四阶段(PMIP4)水文气候变量所产生的古径流估计进行比较。比较将包括对模拟径流的可变性的评估，以及对主要模式和代理和模型中可变性的空间/时间一致性的比较。这些分析试图阐明驱动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，并计划让本科生参与研究，开发一个带有教育材料的交互式面向公众的网络应用程序，并将时空水流可视化，作为帮助为人口稠密的地区创建更有效的水管理战略的努力的一部分。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。

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.