Spatial Analysis and Calibration of Glacier-Climate Relationships across Alaska

阿拉斯加冰川与气候关系的空间分析和校准

• 批准号: 0081379
• 负责人: William Manley
• 金额: $ 28.46万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-08-15 至 2004-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0081379&HistoricalAwards=false
• 关键词: Spatial; Analysis; Calibration; Glacier; Climate

This award is for a study using recent advances in Geographic Information Systems (GIS) to analyze the extent, area-altitude relations, microclimatic, and major climatic relationships of all Alaskan glaciers. Data sources include high-resolution Digital Elevation Models (DEM's), Digital Line Graph (DLG) files of glacier extent, and gridded climate estimates. The study will complement existing monitoring programs through spatial analysis of more than 46 derived parameters, including: minimum, maximum, and average elevation; area, slope angle, length, width, aspect, curvature, and shape; area-altitude distributions; potential insolation, shading, backwall height, upslope area, and continentality; hypsographic ELA, summer temperature, winter precipitation, and sensitivity to climate change. These parameters will be quantified for each glacier as a whole, and for individual 60 m grid cells as appropriate. Portions of the study will be dedicated to testing GIS results with direct measurements for greater than 30 Alaskan glaciers. Results will include not only datasets, but the ability to draw meaningful relationships from spatial trends. The new approach will be applied on a statewide level, providing an orders-of-magnitude increase in understanding of glacier and climate dynamics in the American Arctic.

该奖项是为了表彰一项利用地理信息系统(GIS)的最新进展来分析所有阿拉斯加冰川的范围、面积-海拔关系、小气候和主要气候关系的研究。数据来源包括高分辨率数字高程模型(DEM)、冰川范围的数字折线图(DLG)文件和网格气候估计。这项研究将通过对46个派生参数的空间分析来补充现有的监测计划，这些参数包括：最小、最大和平均海拔高度；面积、坡度、长度、宽度、坡向、曲率和形状；面积-海拔分布；潜在日照、遮挡、后墙高度、上坡面积和大陆；地形ELA、夏季温度、冬季降水和对气候变化的敏感性。这些参数将针对每个冰川作为一个整体进行量化，并酌情针对单个60米网格单元进行量化。这项研究的部分内容将致力于通过直接测量30多条阿拉斯加冰川来测试地理信息系统的结果。结果不仅包括数据集，还包括从空间趋势中提取有意义的关系的能力。新的方法将在全州范围内应用，使人们对美洲北极冰川和气候动态的了解增加几个数量级。