气候变化领域集成服务门户(CCPortal): Global Wildfire Plume-Rise Data Set and Parameterizations for Climate Model Applications

CCPortal

DOI	10.1029/2020JD033085
	Global Wildfire Plume-Rise Data Set and Parameterizations for Climate Model Applications
	Ke Z.; Wang Y.; Zou Y.; Song Y.; Liu Y.
发表日期	2021
ISSN	2169897X
卷号	126 期号:6
英文摘要	The fire plume height (smoke injection height) is an important parameter for calculating the transport and lifetime of smoke particles, which can significantly affect regional and global air quality and atmospheric radiation budget. To develop an observation-based global fire plume-rise data set, a modified one-dimensional plume-rise model was used with observation-based fire size and Maximum Fire Radiative Power (MFRP) data, which are derived from satellite fire hotspot measurements. The resulting data set captured well the observed plume height distribution derived from the Multiangle Imaging SpectroRadiometer (MISR) measurements. The fraction of fire plumes penetrating above the boundary layer is relatively low at 20% at the time of MISR observation (10:30 am LT) but increases to an average of ∼55% in the late afternoon, implying that the MISR observation data sampled in late morning underestimate the average daytime fire plume heights and plume mixing into the free troposphere. Therefore, adjustments are required through dynamic modeling or parameterization of fire plume height as a function of meteorological and fire conditions when the MISR data set is applied in climate model simulations. We conducted sensitivity simulations using the Community Atmospheric Models version 5 (CAM5). Model results show that the incorporation of fire plume rise in the model tends to significantly increase fire aerosol impacted regions. We applied the offline plume-rise data to develop an online fire plume height parameterization, allowing for simulating the feedbacks of climate/weather on fire plume rise in climate models. © 2021. American Geophysical Union. All Rights Reserved.
英文关键词	atmosphere; black carbon; CESM; climate modeling; fire plumes; wildfires
语种	英语
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/185398
作者单位	School of Earth and Atmospheric Science, Georgia Institute of Technology, Atlanta, GA, United States; Center for Forest Disturbance Science, Southern Research Station, U.S. Department of Agriculture Forest Service, Athens, GA, United States
推荐引用方式 GB/T 7714	Ke Z.,Wang Y.,Zou Y.,et al. Global Wildfire Plume-Rise Data Set and Parameterizations for Climate Model Applications[J],2021,126(6).
APA	Ke Z.,Wang Y.,Zou Y.,Song Y.,&Liu Y..(2021).Global Wildfire Plume-Rise Data Set and Parameterizations for Climate Model Applications.Journal of Geophysical Research: Atmospheres,126(6).
MLA	Ke Z.,et al."Global Wildfire Plume-Rise Data Set and Parameterizations for Climate Model Applications".Journal of Geophysical Research: Atmospheres 126.6(2021).