Retrieval of aerosol microphysical properties from AERONET photopolarimetric measurements: 2. A new research algorithm and case demonstration
文献类型：期刊论文
| 作者 | Xu, Xiaoguang1; Wang, Jun1; Zeng, Jing1; Spurr, Robert1; Liu, Xiong1; Dubovik, Oleg1; Li, Li1; Li, Zhengqiang1; Mishchenko, Michael I.1; Siniuk, Aliaksandr1 |
| 刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
 |
| 出版日期 | 2015 |
| 卷号 | 120期号:14页码:96-107 |
| 关键词 | AERONET polarization aerosol retrieval algorithm single-scattering albedo remote sensing absorption |
| 通讯作者 | Wang, J (reprint author), Univ Nebraska, Earth & Atmospher Sci, Lincoln, NE 68588 USA. |
| 英文摘要 | A new research algorithm is presented here as the second part of a two-part study to retrieve aerosol microphysical properties from the multispectral and multiangular photopolarimetric measurements taken by Aerosol Robotic Network's (AERONET's) new-generation Sun photometer. The algorithm uses an advanced UNified and Linearized Vector Radiative Transfer Model and incorporates a statistical optimization approach. While the new algorithm has heritage from AERONET operational inversion algorithm in constraining a priori and retrieval smoothness, it has two new features. First, the new algorithm retrieves the effective radius, effective variance, and total volume of aerosols associated with a continuous bimodal particle size distribution (PSD) function, while the AERONET operational algorithm retrieves aerosol volume over 22 size bins. Second, our algorithm retrieves complex refractive indices for both fine and coarse modes, while the AERONET operational algorithm assumes a size-independent aerosol refractive index. Mode-resolved refractive indices can improve the estimate of the single-scattering albedo (SSA) for each aerosol mode and thus facilitate the validation of satellite products and chemistry transport models. We applied the algorithm to a suite of real cases over Beijing_RADI site and found that our retrievals are overall consistent with AERONET operational inversions but can offer mode-resolved refractive index and SSA with acceptable accuracy for the aerosol composed by spherical particles. Along with the retrieval using both radiance and polarization, we also performed radiance-only retrieval to demonstrate the improvements by adding polarization in the inversion. Contrast analysis indicates that with polarization, retrieval error can be reduced by over 50% in PSD parameters, 10-30% in the refractive index, and 10-40% in SSA, which is consistent with theoretical analysis presented in the companion paper of this two-part study. |
| 研究领域[WOS] | Meteorology & Atmospheric Sciences |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000359804900024 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38410]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Xu, Xiaoguang 2.Wang, Jun 3.Zeng, Jing] Univ Nebraska, Earth & Atmospher Sci, Lincoln, NE 68588 USA 4.[Spurr, Robert] RT Solut Inc, Cambridge, MA USA 5.[Liu, Xiong] Harvard Smithsonian Ctr Astrophys, Cambridge, MA 02138 USA 6.[Dubovik, Oleg] Univ Lille 1, CNRS, Lab Opt Atmospher, F-59655 Villeneuve Dascq, France 7.[Li, Li 8.Li, Zhengqiang] Chinese Acad Sci, State Environm Protect Key Lab Satellites Remote, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China 9.[Mishchenko, Michael I.] NASA Goddard Inst Space Studies, New York, NY USA 10.[Siniuk, Aliaksandr |
| 推荐引用方式 GB/T 7714 | Xu, Xiaoguang,Wang, Jun,Zeng, Jing,et al. Retrieval of aerosol microphysical properties from AERONET photopolarimetric measurements: 2. A new research algorithm and case demonstration[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2015,120(14):96-107. |
| APA | Xu, Xiaoguang.,Wang, Jun.,Zeng, Jing.,Spurr, Robert.,Liu, Xiong.,...&Holben, Brent N..(2015).Retrieval of aerosol microphysical properties from AERONET photopolarimetric measurements: 2. A new research algorithm and case demonstration.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,120(14),96-107. |
| MLA | Xu, Xiaoguang,et al."Retrieval of aerosol microphysical properties from AERONET photopolarimetric measurements: 2. A new research algorithm and case demonstration".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 120.14(2015):96-107. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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