| 项目编号: | 1747559
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| 项目名称: | Collaborative Research: RAPID--Smoke Forecasting Support for the Western Wildfire Experiment for Cloud Chemistry, Aerosol absorption and Nitrogen (WE-CAN) Field Intensive |
| 作者: | Emily Fischer
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| 承担单位: | Colorado State University
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| 批准年: | 2017
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| 开始日期: | 2017-09-01
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| 结束日期: | 2018-08-31
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| 资助金额: | 33953
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| 资助来源: | US-NSF
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| 项目类别: | Standard Grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Geosciences - Atmospheric and Geospace Sciences
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| 英文关键词: | we-can
; field campaign
; hrrr-smoke
; forecasting capability
; western u. s.
; aerosol absorption
; cloud chemistry
; nsf-sponsored western wildfire experiment
; emission
; real-time high resolution rapid refresh smoke
; nearby cloud
; smoke plume
; smoke particle
; operational national weather service
; sophisticated atmospheric chemistry instrumentation
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| 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. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/88980
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| Appears in Collections: | 全球变化的国际研究计划
科学计划与规划
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| Recommended Citation: | |
Emily Fischer. Collaborative Research: RAPID--Smoke Forecasting Support for the Western Wildfire Experiment for Cloud Chemistry, Aerosol absorption and Nitrogen (WE-CAN) Field Intensive. 2017-01-01.
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