Collaborative Research: P2C2--Elucidating the Drivers and Consequences of Changes in Atmospheric Rivers from the Last Glacial Maximum to the Present Day

合作研究：P2C2——阐明从末次盛冰期至今大气河流变化的驱动因素和后果

基本信息

批准号：
1903528
负责人：
Juan Lora
金额：
$ 24.12万
依托单位：
Yale University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-07-15 至 2023-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1903528&HistoricalAwards=false
关键词：
Collaborative Research P2C2 Elucidating Drivers

项目摘要

This project aims to investigate the response of atmospheric rivers (ARs) to changes in the mean climate state and radiative forcing. This will be accomplished using a new set of paleoclimate simulations from the Community Earth System Model (CESM2) with the goal to understand the processes that drive past, present and future ARs responses, and evaluate their impact on regional hydroclimates and ecosystems. The researchers plan to conduct eight different experiments with the CESM2 in which ice sheets, orbital configurations, meltwater fluxes and carbon dioxide concentrations will be varied independently since the last glacial maximum. An ARs tracking algorithm will be implemented to objectively identify ARs across climate states and then used to quantify the distribution, frequency, intensity, and seasonal character of ARs changes and their impact on precipitation. The project is organized about three specific objectives: 1) develop a robust AR tracking algorithm for use in climate change studies; 2) understand the relationships between ARs and climate system forcings; and 3) quantify the contribution of AR changes to regional hydroclimate over the last glacial-interglacial transition. The potential Broader Impacts include a better understanding of the role of ARs within the climate system. An international collaboration is planned to conduct an official Atmospheric River Tracking Method Intercomparison activity with the resulting AR catalogues being archived and made publicly available. The project supports the training of a graduate student and a Postdoctoral scholar. In addition, a professional development workshop for regional high school teachers will be organized as part of an ongoing program at the University of Massachusetts Lowell. A set of modules centered on the physics of the climate system and the interdisciplinary applications of climate science will be developed and made available to the workshop participants.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.

该项目旨在调查大气河（ARS）对平均气候状态和辐射强迫变化的反应。这将使用来自社区地球系统模型（CESM2）的一组新的古气候模拟来实现，其目标是了解推动过去，现在和未来的AR响应的过程，并评估其对区域氢化环境和生态系统的影响。研究人员计划对CESM2进行八种不同的实验，其中冰盖，轨道构型，融合水通量和二氧化碳浓度将自上次最大冰川最大以来独立变化。 ARS跟踪算法将被实施，以客观地识别跨气候状态的AR，然后用来量化ARS变化的分布，频率，强度和季节性特征及其对降水的影响。该项目围绕三个特定目标组织：1）开发出一种可在气候变化研究中使用的强大的AR跟踪算法； 2）了解ARS与气候系统强迫之间的关系； 3）量化AR变化对最后一次冰川间 - 冰川过渡的贡献。潜在的广泛影响包括更好地了解AR在气候系统中的作用。计划进行国际合作，以进行官方的大气跟踪方法对比活动，并将其归档和公开可用的AR目录进行。该项目支持研究生和博士后学者的培训。此外，将在马萨诸塞大学洛厄尔大学（University of Massachusetts Lowell）进行的一项正在进行的计划的一部分中组织一个专业的高中教师开发研讨会。将开发并提供一组集中于气候系统物理和气候科学的跨学科应用的模块和更广泛的影响审查标准。