Jin Qinjian, Yang Zong-Liang, Wei Jiangfeng
Jackson School of Geosciences, University of Texas at Austin, Austin, Texas, USA.
Center for Global Change Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Sci Rep. 2016 Jul 28;6:30690. doi: 10.1038/srep30690.
The absorptive properties of dust aerosols largely determine the magnitude of their radiative impacts on the climate system. Currently, climate models use globally constant values of dust imaginary refractive index (IRI), a parameter describing the dust absorption efficiency of solar radiation, although it is highly variable. Here we show with model experiments that the dust-induced Indian summer monsoon (ISM) rainfall differences (with dust minus without dust) change from -9% to 23% of long-term climatology as the dust IRI is changed from zero to the highest values used in the current literature. A comparison of the model results with surface observations, satellite retrievals, and reanalysis data sets indicates that the dust IRI values used in most current climate models are too low, tending to significantly underestimate dust radiative impacts on the ISM system. This study highlights the necessity for developing a parameterization of dust IRI for climate studies.
沙尘气溶胶的吸收特性在很大程度上决定了其对气候系统辐射影响的程度。目前,气候模型使用全球恒定的沙尘虚折射指数(IRI)值,该参数描述了沙尘对太阳辐射的吸收效率,尽管其变化很大。在此,我们通过模型实验表明,随着沙尘IRI从零变化到当前文献中使用的最高值,沙尘引起的印度夏季风(ISM)降雨量差异(有沙尘减去无沙尘)从长期气候平均值的-9%变化到23%。将模型结果与地面观测、卫星反演和再分析数据集进行比较表明,当前大多数气候模型中使用的沙尘IRI值过低,往往会显著低估沙尘对ISM系统的辐射影响。这项研究强调了为气候研究开发沙尘IRI参数化的必要性。