Warm Season Land Surface--Climate Interactions in the U.S. Midwest

暖季陆地表面——美国中西部的气候相互作用

• 批准号: 9876828
• 负责人: David Travis
• 金额: $ 8.19万
• 依托单位: University of Wisconsin-Whitewater
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-06-01 至 2003-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9876828&HistoricalAwards=false
• 关键词: Warm; Season; Land; Surface; Climate

AbstractATM-9876828Travis, David J.University of Wisconsin-WhitewaterTitle: Warm Season Land Surface-Climate Interactions in the U.S. MidwestThe proposed collaborative research (Carleton/Penn State Univ. PA, Travis/Univ. Wisconsin Whitewater WI, and Arnold/Ball State Univ. IN) aims to determine the role of land surface conditions in the contemporary (1981-1994) warm season climate (April through September). The geographical region to be studied is the humid lowland region of the Midwest US centered on the Corn Belt. The PIs will determine the association between land covers parameters (such as vegetation, evapotranspiration, surface and soil moisture) and connective cloudiness across a range of spatial and temporal scales. Data from GOES and NOAA AVHRR using McIDAS and a combination of statistical techniques including fractal analysis, will be utilized. Conventional meteorological data and published land cover data will help to corroborate the satellite data, and also assist in determination of land surface-climate interactions for sub-areas and time periods characterized by contrasting vegetation status, surface soil moisture, and atmospheric conditions such as humidity and wind. The work is important because it will enhance our understanding of the role of land surface conditions in seasonal climate of the corn belt region of the US.

题目：美国中西部暖季陆地表面-气候相互作用（Carleton/Penn State university . PA, Travis/Univ. PA）。威斯康星白水和阿诺德/波尔州立大学)的目标是确定陆地表面条件在当代（1981-1994）暖季气候（4月至9月）中的作用。要研究的地理区域是美国中西部以玉米带为中心的湿润低地地区。pi将确定土地覆盖参数（如植被、蒸散、地表和土壤湿度）和连接云量在一系列空间和时间尺度上的关系。来自GOES和NOAA AVHRR的数据将使用McIDAS和包括分形分析在内的统计技术相结合。常规气象数据和已公布的土地覆盖数据将有助于证实卫星数据，也有助于确定以对比植被状况、地表土壤湿度和大气条件（如湿度和风）为特征的分区和时间段的陆地表面-气候相互作用。这项工作很重要，因为它将增强我们对美国玉米带地区季节性气候中地表条件作用的理解。