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

Carleton，Andrew M.Pennsylvania State UniversityTitle：Warm Season Land Surface-Climate Interactions in the U.S. MidwestThe proposed collaborative research（Carleton/Penn State Univ. PA，Travis/Univ.威斯康星州白水分校，和Arnold/Ball State Univ. IN）的目的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以玉米带为中心的美国中西部潮湿的低地地区。PI将确定土地覆盖参数（如植被、蒸散、地表和土壤湿度）与一系列空间和时间尺度上的连接性云量之间的关联。将利用地球观测环境系统和诺阿高级甚高分辨率辐射计使用McIDAS和包括分形分析在内的统计技术的组合提供的数据。常规气象数据和公布的土地覆盖数据将有助于证实卫星数据，并有助于确定以对比植被状况、表层土壤湿度和湿度和风等大气条件为特征的分区和时段的地表-气候相互作用。这项工作很重要，因为它将提高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。

AbstractCarleton, Andrew M.Pennsylvania State UniversityTitle: 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.