Collaborative Research: P2C2--Unravelling the Signals in Tropical Pacific Lake Archives: Towards Improved Holocene Hydroclimate Reconstructions

合作研究：P2C2——解开热带太平洋湖泊档案中的信号：迈向改进的全新世水文气候重建

• 批准号: 2002419
• 负责人: Mark Bush
• 金额: $ 7.98万
• 依托单位: Florida Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2002419&HistoricalAwards=false
• 关键词: Collaborative; Research; P2C2; Unravelling; Signals

This project aims to use a new interdisciplinary toolbox to resolve inter-site uncertainties by synthesizing existing lake sediment cores records with existing global climate models to simulate atmospheric moisture transport, build proxy-system models, and ultimately improve the understanding of tropical precipitation variability and change.The largest single cause, globally, in interannual precipitation variability is associated with the El Nino-Southern Oscillation (ENSO) phenomenon. Large uncertainties remain regarding the magnitude and direction of the projected precipitation response with ENSO. Numerous lake sediment paleoclimate reconstructions have been developed from the Amazon, Andes, and Galapagos Archipelago with the goal of understanding the response of ENSO and tropical hydroclimate (i.e., precipitation amount, intensity, and seasonality) to past climate changes. Disagreement between these records, however, complicates the ability to prepare for climate risks and hydroclimate extremes.This project specifically aims to: (i) improve the interpretation of tropical lake sediment archives and facilitate proxy-model comparisons using high-resolution moisture tracking simulations with a comprehensive climate model; (ii) constrain the sensitivity of tropical paleo-climate records from the early-Holocene to present; and (iii) synthesize climate reconstructions from lakes with climate model simulations to understand tropical hydroclimate variability across spatial and temporal scales.The potential Broader Impacts include improved understanding of the magnitude, timing, and drivers of tropical hydroclimate variability over the Holocene. The project will also provide support for two early-career researchers, a postdoctoral fellow, two graduate students, and undergraduate students.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.

本项目旨在利用新的跨学科工具箱解决站点间不确定性，通过综合现有湖泊沉积物岩心记录与现有全球气候模型来模拟大气水分输送，构建代理系统模型，最终提高对热带降水变率和变化最大单一原因的认识，在全球范围内年际降水变化与厄尔尼诺-南方涛动（ENSO）现象有关。 预测的降水对厄尔尼诺/南方涛动的反应的幅度和方向仍然存在很大的不确定性。 从亚马逊、安第斯山脉和加拉帕戈斯群岛已经开发了许多湖泊沉积物古气候重建，目的是了解ENSO和热带水文气候的响应（即，降水量，强度和季节性）过去的气候变化。 然而，这些记录之间的不一致使得为气候风险和水文气候极端情况做准备的能力变得复杂，该项目的具体目标是：㈠改进对热带湖泊沉积物档案的解释，并利用高分辨率湿度跟踪模拟和综合气候模型促进代理模型的比较; ㈡限制从全新世早期至今热带古气候记录的敏感性;以及（iii）将湖泊气候重建与气候模式模拟相结合，以了解热带水文气候在空间和时间尺度上的变化。潜在的更广泛影响包括提高对全新世热带水文气候变化的幅度、时间和驱动因素的理解。 该项目还将为两名早期职业研究人员，一名博士后研究员，两名研究生和本科生提供支持。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。