globalchange  > 影响、适应和脆弱性
项目编号: 1542760
项目名称:
Collaborative Research: RAPID--Integration of Unmanned Aircraft System (UAS) into the Program for Research on Elevated Convection with Intense Precipitation
作者: Adam Houston
承担单位: University of Nebraska-Lincoln
批准年: 2014
开始日期: 2015-06-01
结束日期: 2017-05-31
资助金额: USD129389
资助来源: US-NSF
项目类别: Standard Grant
国家: US
语种: 英语
特色学科分类: Geosciences - Atmospheric and Geospace Sciences
英文关键词: weather research ; elevated deep convection ; elevated convection ; unmanned aircraft system ; intense precipitation ; project ; uas observation
英文摘要: Nighttime thunderstorms with heavy rainfall pose a threat to lives and property in the central United States and are a difficult forecasting challenge. A field campaign is planned during the summer of 2015 to study how these thunderstorm complexes form and maintain themselves. This award will augment that campaign by providing observations from an unmanned aircraft system (UAS) platform. The UASs will fly in targeted locations near a frontal boundary and in the vicinity of thunderstorms, making measurements that will be input into a computer model. The overall goal of the project is to improve understanding and forecasting of these hazardous events. In addition, the project will contribute to scientific workforce development through the education and training of a graduate and undergraduate student and the involvement of a number of other students in the field work.

The Program for Research on Elevated Convection with Intense Precipitation is an ongoing project with a goal of characterizing the processes responsible for creating environments conducive to the development and maintenance of organized elevated deep convection. UAS observations will be assimilated into the Weather Research and Forecasting model to address the goals of the project by improving the representation of: 1) the airmass upstream of the synoptic scale front, 2) mesoscale lifting mechanisms such as Kelvin-Helmholtz billows and gravity waves within and above the synoptic-scale cold airmass, and 3) the structure of storm-generated outflow within the cold air. The researchers involved in this award will take the lead on assessing the impact of UAS observations on model forecasts and testing strategies for targeting observations to produce the largest gains in forecast skill.
资源类型: 项目
标识符: http://119.78.100.158/handle/2HF3EXSE/94445
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

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Adam Houston. Collaborative Research: RAPID--Integration of Unmanned Aircraft System (UAS) into the Program for Research on Elevated Convection with Intense Precipitation. 2014-01-01.
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