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.

该项目旨在利用新的跨学科工具箱，通过将现有的湖泊沉积物岩芯记录与现有的全球气候模型相结合，来解决站点间的不确定性，以模拟大气水分输送，建立代理系统模型，最终提高对热带降水变率和变化的理解全球降水年际变化的最大单一原因与厄尔尼诺南方涛动（ENSO）现象有关。 ENSO 预测降水响应的幅度和方向仍然存在很大的不确定性。 亚马逊、安第斯山脉和加拉帕戈斯群岛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（即降水量、强度和季节性）对过去气候变化的响应。 然而，这些记录之间的不一致使应对气候风险和极端水文气候的能力变得复杂化。该项目的具体目标是：(i) 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与综合气候模型； (ii) 限制从全新世早期到现在的热带古气候记录的敏感性； (iii) 将湖泊的气候重建与气候模型模拟相结合，以了解跨空间和时间尺度的热带水文气候变化。潜在的更广泛影响包括更好地了解全新世热带水文气候变化的幅度、时间和驱动因素。 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。