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Aerosol-cloud interaction inferred from MODIS satellite data and global aerosol models

机译:从MODIS卫星数据和全球气溶胶模型推断出气溶胶与云的相互作用

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We have used the MODIS satellite data and two global aerosol models toinvestigate the relationships between aerosol optical depth (AOD) and cloudparameters that may be affected by the aerosol concentration. Therelationships that are studied are mainly between AOD, on the one hand, andcloud cover, cloud liquid water path, and water vapour, on the other.Additionally, cloud droplet effective radius, cloud optical depth, cloud toppressure and aerosol Ångstr?m exponent, have been analysed in a fewcases. In the MODIS data we found, as in earlier studies, an enhancement inthe cloud cover with increasing AOD. We find it likely that most of thestrong increase in cloud cover with AOD, at least for AOD<0.2, is a resultof aerosol-cloud interactions and a prolonged cloud lifetime. Large andmesoscale weather systemsseem not to be a cause for the increase in cloud cover with AOD in thisrange. Sensitivity simulations show that when water uptake of theaerosols is not taken into account in the models the modelled cloudcover mostly decreases with AOD. Part of therelationship found in the MODIS data for AOD>0.2 can be explained bylarger water uptake close to the clouds since relative humidity is higher inregions with higher cloud cover. The efficiency of the hygroscopic growthdepends on aerosol type, the hygroscopic nature of the aerosol, the relativehumidity, and to some extent the cloud screening. By analysing theÅngstr?m exponent we find that the hygroscopic growth of the aerosolis not likely to be a main contributor to the cloud cover increase with AOD.Since the largest increase in cloud cover with AOD is for low AOD (~0.2) and thus also for low cloud cover, we argue that cloud contaminationis not likelyto play a large role. However, interpretation of the complex relationshipsbetween AOD and cloud parameters should be made with great care and furtherwork is clearly needed.
机译:我们已经使用MODIS卫星数据和两个全球气溶胶模型研究了气溶胶光学深度(AOD)与可能受气溶胶浓度影响的云参数之间的关系。所研究的关系主要是一方面在AOD与云量,云的液态水路径和水蒸气之间;另外,云滴的有效半径,云的光学深度,云的顶压力和气溶胶Ångstr?m指数,已经在少数情况下进行了分析。与早期研究一样,我们在MODIS数据中发现,随着AOD的增加,云层的增强。我们发现,至少在AOD <0.2的情况下,AOD引起的云量增加的大部分可能是气溶胶-云相互作用和延长的云寿命所致。大规模的中尺度天气系统似乎并不是造成AOD在此范围内云量增加的原因。敏感性模拟显示,在模型中不考虑气溶胶的吸水量时,建模的云量大多随AOD的减少而减少。在MODIS数据中发现的AOD> 0.2的部分关系可以通过靠近云层的较大吸水量来解释,因为相对湿度在具有较高云层的区域中较高。吸湿性生长的效率取决于气雾剂的类型,气雾剂的吸湿性,相对湿度以及某种程度上的云遮蔽。通过分析Ångstr?m指数,我们发现气溶胶的吸湿性增长不太可能随AOD的增加而增加,因为AOD引起的云量的最大增加是因为低AOD(〜0.2),因此对于低云量,我们认为云污染不太可能起很大作用。但是,应格外小心地解释AOD和云参数之间的复杂关系,显然需要进一步的工作。

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