Japan (STA) Postdoctoral Program: Snowpack Structure Data Set in Japan for Remote Sensing Snow Hydrology

日本（STA）博士后项目：日本遥感雪水文积雪结构数据集

• 批准号: 8903098
• 负责人: Rand Decker
• 金额: $ 0.41万
• 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: 1989
• 资助国家: 美国
• 起止时间: 1989-11-01 至 1991-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8903098&HistoricalAwards=false
• 关键词: Japan; STA; Postdoctoral; Program; Snowpack

This award will provide supplementary support to enable Dr. Rand Decker of the University of Colorado to conduct collaborative research for six months with Dr. Tsutomu Nakamura of the National Research Center for Disaster Prevention, Institute of Snow and Ice Studies, Niigata, Japan. They will survey the state of the art in ground based snow structure data collection techniques in Japan, and examine methods and algorithms for microwave remote sensing of the water-equivalent of snow. The considerable snowpack structure data that is available in Japan will be incorporated into a data base for the snow hydrology research community. Experiments on the interaction of microwave signals with snowpack structures characteristic of various periods during the winter season will be performed and correlated with the known properties of the snowpack. Remote sensing of snowpack liquid content is not yet an independent experimental technique since sensing data must be correlated with the grain size within the snowpack in order to obtain usable information on liquid content. In addition, both grain size and grain morphology of snowpack change over the course of a winter. Dr. Decker's experience in the area of snow avalanche hazard forecasting--which depends on snowpack structure--will complement the experience of the collaborating laboratory in the development of techniques for determining liquid content of the snowpack, from space.

该奖项将提供补充支持，以使科罗拉多大学的兰德·德克尔博士能够与日本尼加塔的国家雪与冰研究研究所的国家预防灾难研究中心的Tsutomu Nakamura博士进行六个月的合作研究。 他们将在日本的地面积雪数据收集技术中调查最新技术，并检查微波遥感雪的微波遥感的方法和算法。 日本可用的大量积雪结构数据将纳入雪水文学研究界的数据库中。 在冬季，微波信号与各个时期特征的积雪结构相互作用的实验将与Snekpack的已知特性进行进行。 积雪液体含量的遥感尚未是独立的实验技术，因为传感数据必须与积雪中的晶粒尺寸相关，以便获得有关液体含量的可用信息。 此外，在冬季的过程中，积雪的谷物尺寸和谷物形态都会发生变化。 Decker博士在雪地雪崩危险预测领域的经验（取决于积雪结构）将补充合作实验室在开发技术来确定Snekpack的液体内容的技术方面的经验。