GSTDTAP  > 地球科学
DOI10.5194/acp-19-205-2019
Quantifying the direct radiative effect of absorbing aerosols for numerical weather prediction: a case study
Oyola, Mayra, I1; Campbell, James R.2; Xian, Peng2; Bucholtz, Anthony2; Ferrare, Richard A.3; Burton, Sharon P.3; Kalashnikova, Olga4; Ruston, Benjamin C.2; Lolli, Simone5
2019-01-07
发表期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2019
卷号19期号:1页码:205-218
文章类型Article
语种英语
国家USA; Italy
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 (SEAC(4)RS) 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.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000455220500002
WOS关键词SPECTRAL-RESOLUTION LIDAR ; DATA-ASSIMILATION ; IMPACTS ; CLIMATE ; MODEL ; PARAMETERIZATION ; CLASSIFICATION ; FORECASTS ; CLOUDS
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/15104
专题地球科学
作者单位1.Amer Soc Engn Educ, Monterey, CA 93943 USA;
2.US Naval Res Lab, Monterey, CA 93943 USA;
3.NASA, Langley Res Ctr, Langley, VA 23681 USA;
4.Jet Prop Lab, Pasadena, CA 91109 USA;
5.CNR, IMAA, Tito, PZ, Italy
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Oyola, Mayra, I,Campbell, James R.,Xian, Peng,et al. Quantifying the direct radiative effect of absorbing aerosols for numerical weather prediction: a case study[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2019,19(1):205-218.
APA Oyola, Mayra, I.,Campbell, James R..,Xian, Peng.,Bucholtz, Anthony.,Ferrare, Richard A..,...&Lolli, Simone.(2019).Quantifying the direct radiative effect of absorbing aerosols for numerical weather prediction: a case study.ATMOSPHERIC CHEMISTRY AND PHYSICS,19(1),205-218.
MLA Oyola, Mayra, 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):205-218.
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