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Quantifying the direct radiative effect of absorbing aerosols for numerical weather prediction: a case study.

作者信息

Oyola Mayra I, Campbell James R, Xian Peng, Bucholtz Anthony, Ferrare Richard A, Burton Sharon P, Kalashnikova Olga, Ruston Benjamin C, Lolli Simone

机构信息

American Society for Engineering Education, Monterey, CA 93943, USA.

US Naval Research Laboratory, Monterey, CA 93943, USA.

出版信息

Atmos Chem Phys. 2019 Jan 7;19(1):205-218. doi: 10.5194/acp-19-205-2019. Epub 2019 Jan 1.

DOI:10.5194/acp-19-205-2019
PMID:33414816
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7787255/
Abstract

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 (SEACRS) 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.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/7787255/295b23f70cc5/nihms-1538731-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/7787255/1dd1fbe0eb36/nihms-1538731-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/7787255/6de3fd821fb7/nihms-1538731-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/7787255/48daeafbcaab/nihms-1538731-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/7787255/56b4ab354170/nihms-1538731-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/7787255/9e90e38383ee/nihms-1538731-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/7787255/a71c8358c26c/nihms-1538731-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/7787255/99e7ad623b5c/nihms-1538731-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/7787255/295b23f70cc5/nihms-1538731-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/7787255/1dd1fbe0eb36/nihms-1538731-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/7787255/6de3fd821fb7/nihms-1538731-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/7787255/48daeafbcaab/nihms-1538731-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/7787255/56b4ab354170/nihms-1538731-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/7787255/9e90e38383ee/nihms-1538731-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/7787255/a71c8358c26c/nihms-1538731-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/7787255/99e7ad623b5c/nihms-1538731-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fa8/7787255/295b23f70cc5/nihms-1538731-f0008.jpg

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本文引用的文献

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The MERRA-2 Aerosol Reanalysis, 1980 - onward, Part I: System Description and Data Assimilation Evaluation.MERRA-2气溶胶再分析，1980年起，第一部分：系统描述与数据同化评估。
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