Lake Ice Modelling and the Paleoenvironment of the Eastern Canadian Arctic over the Last 21 ka: A P.A.L.E./LAII/S.I.M.S

过去 21 ka 的湖冰模型和加拿大东部北极地区的古环境：A P.A.L.E./LAII/S.I.M.S

• 批准号: 9614667
• 负责人: John Andrews
• 金额: $ 13.04万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-12-01 至 1999-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9614667&HistoricalAwards=false
• 关键词: Lake; Ice; Modelling; Paleoenvironment; Eastern

Abstract OPP-9614667 ANDREWS UNIVERSITY OF COLORADO This project is a joint project between Andrews and colleagues at the University of Colorado and Pielke and colleagues at Colorado State University. It is designed to examine the role of lake ice in the arctic climate/environmental system. The duration and thickness of lake ice cover in the Eastern Canadian Arctic is thought to be a critical component in the rates of sediment accumulation and primary productivity. The work of this project will link current modeling efforts on the formation and extent of the annual lake cycle, a remote sensing component which will map out the temporal and spatial variability of lake ice on today's landscape, and a paleo component based on data from GISP2, Genesis modeling, and lake records accumulated previously by the PIs. The PIs plan to use present-day climate data from stations on Baffin Island to forecast lake ice histories for extreme years and for average conditions. These estimates will be compared with the results of mapping the pattern of lake ice disappearance and growth from satellite imagery. The final element will be to use the lake ice model to generate a series of histories of lake ice given input from a variety of paleo perspectives.

摘要 OPP-9614667 科罗拉多州安德鲁斯大学 该项目是安德鲁斯和科罗拉多大学的同事以及皮尔克和科罗拉多州立大学的同事之间的联合项目。 它旨在研究湖冰在北极气候/环境系统中的作用。 加拿大东部北极地区湖冰覆盖的持续时间和厚度被认为是沉积物积累率和初级生产力的关键组成部分。 该项目的工作将把当前关于年度湖泊循环的形成和范围的建模工作联系起来，一个遥感组件将绘制出当今景观中湖冰的时间和空间变化，以及一个基于 GISP2、Genesis 模型和 PI 先前积累的湖泊记录的数据的古组件。 PI 计划利用巴芬岛气象站的当前气候数据来预测极端年份和平均条件下的湖冰历史。 这些估计将与卫星图像绘制的湖冰消失和增长模式的结果进行比较。 最后一个元素是使用湖冰模型根据各种古角度的输入生成一系列湖冰的历史。