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| DOI | 10.5194/acp-20-7167-2020 |
| Reducing uncertainties in satellite estimates of aerosol-cloud interactions over the subtropical ocean by integrating vertically resolved aerosol observations | |
| Painemal D.; Painemal D.; Chang F.-L.; Chang F.-L.; Ferrare R.; Burton S.; Li Z.; Li Z.; Smith W.L.; Minnis P.; Minnis P.; Feng Y.; Clayton M.; Clayton M. | |
| 发表日期 | 2020 |
| ISSN | 16807316 |
| 起始页码 | 7167 |
| 结束页码 | 7177 |
| 卷号 | 20期号:12 |
| 英文摘要 | Satellite quantification of aerosol effects on clouds relies on aerosol optical depth (AOD) as a proxy for aerosol concentration or cloud condensation nuclei (CCN). However, the lack of error characterization of satellite-based results hampers their use for the evaluation and improvement of global climate models. We show that the use of AOD for assessing aerosol-cloud interactions (ACIs) is inadequate over vast oceanic areas in the subtropics. Instead, we postulate that a more physical approach that consists of matching vertically resolved aerosol data from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite at the cloud-layer height with Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua cloud retrievals reduces uncertainties in satellite-based ACI estimates. Combined aerosol extinction coefficients (σ) below cloud top (σBC) from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) and cloud droplet number concentrations (Nd) from MODIS Aqua yield high correlations across a broad range of σBC values, with sBC quartile correlations ≥ 0.78. In contrast, CALIOP-based AOD yields correlations with MODIS Nd of 0.54-0.62 for the two lower AOD quartiles. Moreover, sBC explains 41 % of the spatial variance in MODIS Nd, whereas AOD only explains 17 %, primarily caused by the lack of spatial covariability in the eastern Pacific. Compared with σBC, near-surface σ weakly correlates in space with MODIS Nd, accounting for a 16 % variance. It is concluded that the linear regression calculated from ln(Nd/-ln(σBC) (the standard method for quantifying ACIs) is more physically meaningful than that derived from the Nd-AOD pair. © Author(s) 2020. |
| 关键词 | aerosol compositionaerosol formationatmospheric chemistryCALIPSOcloud condensation nucleusimage analysislidarsatellite datasatellite imageryuncertainty analysisAcis |
| 语种 | 英语 |
| 来源机构 | Atmospheric Chemistry and Physics |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/131967 |
| 推荐引用方式 GB/T 7714 | Painemal D.,Painemal D.,Chang F.-L.,et al. Reducing uncertainties in satellite estimates of aerosol-cloud interactions over the subtropical ocean by integrating vertically resolved aerosol observations[J]. Atmospheric Chemistry and Physics,2020,20(12). |
| APA | Painemal D..,Painemal D..,Chang F.-L..,Chang F.-L..,Ferrare R..,...&Clayton M..(2020).Reducing uncertainties in satellite estimates of aerosol-cloud interactions over the subtropical ocean by integrating vertically resolved aerosol observations.,20(12). |
| MLA | Painemal D.,et al."Reducing uncertainties in satellite estimates of aerosol-cloud interactions over the subtropical ocean by integrating vertically resolved aerosol observations".20.12(2020). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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