Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017JD026913 |
Creating Aerosol Types from CHemistry (CATCH): A New Algorithm to Extend the Link Between Remote Sensing and Models | |
Dawson, K. W.1; Meskhidze, N.1; Burton, S. P.4; Johnson, M. S.2; Kacenelenbogen, M. S.3; Hostetler, C. A.4; Hu, Y.4 | |
2017-11-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:22 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Current remote sensing methods can identify aerosol types within an atmospheric column, presenting an opportunity to incrementally bridge the gap between remote sensing and models. Here a new algorithm was designed for Creating Aerosol Types from CHemistry (CATCH). CATCH-derived aerosol typesdusty mix, maritime, urban, smoke, and fresh smokeare based on first-generation airborne High Spectral Resolution Lidar (HSRL-1) retrievals during the Ship-Aircraft Bio-Optical Research (SABOR) campaign, July/August 2014. CATCH is designed to derive aerosol types from model output of chemical composition. CATCH-derived aerosol types are determined by multivariate clustering of model-calculated variables that have been trained using retrievals of aerosol types from HSRL-1. CATCH-derived aerosol types (with the exception of smoke) compare well with HSRL-1 retrievals during SABOR with an average difference in aerosol optical depth (AOD) <0.03. Data analysis shows that episodic free tropospheric transport of smoke is underpredicted by the Goddard Earth Observing System- with Chemistry (GEOS-Chem) model. Spatial distributions of CATCH-derived aerosol types for the North American model domain during July/August 2014 show that aerosol type-specific AOD values occurred over representative locations: urban over areas with large population, maritime over oceans, smoke, and fresh smoke over typical biomass burning regions. This study demonstrates that model-generated information on aerosol chemical composition can be translated into aerosol types analogous to those retrieved from remote sensing methods. In the future, spaceborne HSRL-1 and CATCH can be used to gain insight into chemical composition of aerosol types, reducing uncertainties in estimates of aerosol radiative forcing. |
英文关键词 | aerosol types GEOS-Chem HSRL-1 SABOR algorithms CATCH |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000418084500021 |
WOS关键词 | SPECTRAL-RESOLUTION LIDAR ; LIGHT-SCATTERING CHARACTERISTICS ; IMAGING SPECTRORADIOMETER MISR ; VERTICAL FEATURE MASK ; OPTICAL-PROPERTIES ; CLASSIFICATION METHOD ; ORGANIC AEROSOL ; BOUNDARY-LAYER ; TRANSPORT ; CONSTRAINTS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/33723 |
专题 | 气候变化 |
作者单位 | 1.North Carolina State Univ, Dept Marine Earth & Atmospher Sci, Raleigh, NC USA; 2.NASA, Ames Res Ctr, Moffett Field, CA 94035 USA; 3.NASA, BAERI, Ames Res Ctr, Moffett Field, CA USA; 4.NASA, Langley Res Ctr, Hampton, VA 23665 USA |
推荐引用方式 GB/T 7714 | Dawson, K. W.,Meskhidze, N.,Burton, S. P.,et al. Creating Aerosol Types from CHemistry (CATCH): A New Algorithm to Extend the Link Between Remote Sensing and Models[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(22). |
APA | Dawson, K. W..,Meskhidze, N..,Burton, S. P..,Johnson, M. S..,Kacenelenbogen, M. S..,...&Hu, Y..(2017).Creating Aerosol Types from CHemistry (CATCH): A New Algorithm to Extend the Link Between Remote Sensing and Models.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(22). |
MLA | Dawson, K. W.,et al."Creating Aerosol Types from CHemistry (CATCH): A New Algorithm to Extend the Link Between Remote Sensing and Models".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.22(2017). |
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