气候变化领域集成服务门户(CCPortal): Quantifying the direct radiative effect of absorbing aerosols for numerical weather prediction: A case study

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DOI	10.5194/acp-19-205-2019
	Quantifying the direct radiative effect of absorbing aerosols for numerical weather prediction: A case study
	Oyola M.I.; Campbell J.R.; Xian P.; Bucholtz A.; Ferrare R.A.; Burton S.P.; Kalashnikova O.; Ruston B.C.; Lolli S.
发表日期	2019
ISSN	16807316
起始页码	205
结束页码	218
卷号	19 期号:1
英文摘要	We conceptualize aerosol radiative transfer processes arising from the hypothetical coupling of a global aerosol transport model and a global numerical weather prediction model by applying the US Naval Research Laboratory Navy Aerosol Analysis and Prediction System (NAAPS) and the Navy Global Environmental Model (NAVGEM) meteorological and surface reflectance fields. A unique experimental design during the 2013 NASA Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) field mission allowed for collocated airborne sampling by the high spectral resolution Lidar (HSRL), the Airborne Multi-angle SpectroPolarimetric Imager (AirMSPI), up/down shortwave (SW) and infrared (IR) broadband radiometers, as well as NASA A-Train support from the Moderate Resolution Imaging Spectroradiometer (MODIS), to attempt direct aerosol forcing closure. The results demonstrate the sensitivity of modeled fields to aerosol radiative fluxes and heating rates, specifically in the SW, as induced in this event from transported smoke and regional urban aerosols. Limitations are identified with respect to aerosol attribution, vertical distribution, and the choice of optical and surface polarimetric properties, which are discussed within the context of their influence on numerical weather prediction output that is particularly important as the community propels forward towards inline aerosol modeling within global forecast systems. © 2019 Copernicus. All rights reserved.
语种	英语
scopus关键词	aerosol; climate modeling; climate prediction; conceptual framework; numerical model; quantitative analysis; radiative forcing; radiative transfer; weather forecasting
来源期刊	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/144739
作者单位	American Society for Engineering Education, Monterey, CA 93943, United States; US Naval Research Laboratory, Monterey, CA 93943, United States; NASA Langley Research Center, Langley, VA 23681, United States; Jet Propulsion Laboratory, Pasadena, CA 91109, United States; CNR-IMAA, Istituto di Metodologie per l'Analisi Ambientale, Tito Scalo (PZ), Italy
推荐引用方式 GB/T 7714	Oyola M.I.,Campbell J.R.,Xian P.,et al. Quantifying the direct radiative effect of absorbing aerosols for numerical weather prediction: A case study[J],2019,19(1).
APA	Oyola M.I..,Campbell J.R..,Xian P..,Bucholtz A..,Ferrare R.A..,...&Lolli S..(2019).Quantifying the direct radiative effect of absorbing aerosols for numerical weather prediction: A case study.Atmospheric Chemistry and Physics,19(1).
MLA	Oyola M.I.,et al."Quantifying the direct radiative effect of absorbing aerosols for numerical weather prediction: A case study".Atmospheric Chemistry and Physics 19.1(2019).