Global S&T Development Trend Analysis Platform of Resources and Environment
项目编号 | 1747646 |
Collaborative Research: RAPID--Smoke Forecasting Support for the Western Wildfire Experiment for Cloud Chemistry, Aerosol absorption and Nitrogen (WE-CAN) Field Intensive | |
Ravan Ahmadov | |
主持机构 | University of Colorado at Boulder |
项目开始年 | 2017 |
2017-09-01 | |
项目结束日期 | 2018-08-31 |
资助机构 | US-NSF |
项目类别 | Standard Grant |
项目经费 | 31169(USD) |
国家 | 美国 |
语种 | 英语 |
英文摘要 | This project is providing forecasting capabilities for the NSF-sponsored Western wildfire Experiment for Cloud chemistry, Aerosol absorption and Nitrogen (WE-CAN) field campaign. WE-CAN is a major field intensive planned for summer 2018 and includes deployment of sophisticated atmospheric chemistry instrumentation on the NSF/NCAR C-130 to sample and systematically characterize the emissions and first day of evolution of western U.S. wildfire plumes. Planning for this field campaign is currently underway and forecasting capabilities are urgently needed to ensure the success of the campaign. The WE-CAN field campaign will provide new information about emissions from wildfires, including information on the emissions of major toxic species in smoke plumes, the evolution of fine particulate matter in the plume over time, and the interactions of smoke particles with nearby clouds. The support for WE-CAN provided by this effort includes the use of (1) the real-time High Resolution Rapid Refresh smoke (HRRR-Smoke) modeling system, and (2) the FxCAVE (Forecast-extended Common AWIPS Visualization Environment) virtual client that delivers operational National Weather Service (NWS) forecast observations and forecast models. There will be at least 4 graduate student forecasters involved in WE-CAN. |
文献类型 | 项目 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/71627 |
专题 | 环境与发展全球科技态势 |
推荐引用方式 GB/T 7714 | Ravan Ahmadov.Collaborative Research: RAPID--Smoke Forecasting Support for the Western Wildfire Experiment for Cloud Chemistry, Aerosol absorption and Nitrogen (WE-CAN) Field Intensive.2017. |
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