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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Incorporating an advanced aerosol activation parameterization into WRF-CAM5: Model evaluation and parameterization intercomparison
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Incorporating an advanced aerosol activation parameterization into WRF-CAM5: Model evaluation and parameterization intercomparison

机译:将先进的气溶胶活化参数化功能集成到WRF-CAM5中:模型评估和参数化比对

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Aerosol activation into cloud droplets is an important process that governs aerosol indirect effects. The advanced treatment of aerosol activation by Fountoukis and Nenes (2005) and its recent updates, collectively called the FN series, have been incorporated into a newly developed regional coupled climate-air quality model based on the Weather Research and Forecasting model with the physics package of the Community Atmosphere Model version 5 (WRF-CAM5) to simulate aerosol-cloud interactions in both resolved and convective clouds. The model is applied to East Asia for two full years of 2005 and 2010. A comprehensive model evaluation is performed for model predictions of meteorological, radiative, and cloud variables, chemical concentrations, and column mass abundances against satellite data and surface observations from air quality monitoring sites across East Asia. The model performs overall well for major meteorological variables including near-surface temperature, specific humidity, wind speed, precipitation, cloud fraction, precipitable water, downward shortwave and longwave radiation, and column mass abundances of CO, SO_2, NO_2, HCHO, and O_3 in terms of both magnitudes and spatial distributions. Larger biases exist in the predictions of surface concentrations of CO and NO_x at all sites and SO_2, O_3, PM_(2.5), and PM_(10) concentrations at some sites, aerosol optical depth, cloud condensation nuclei over ocean, cloud droplet number concentration (CDNC), cloud liquid and ice water path, and cloud optical thickness. Compared with the default Abdul-Razzack Ghan (2000) parameterization, simulations with the FN series produce ~107–113% higher CDNC, with half of the difference attributable to the higher aerosol activation fraction by the FN series and the remaining half due to feedbacks in subsequent cloud microphysical processes. With the higher CDNC, the FN series are more skillful in simulating cloud water path, cloud optical thickness, downward shortwave radiation, shortwave cloud forcing, and precipitation. The model evaluation identifies several areas of improvements including emissions and their vertical allocation as well as model formulations such as aerosol formation, cloud droplet nucleation, and ice nucleation.
机译:气溶胶活化成云滴是控制气溶胶间接效应的重要过程。 Fountoukis和Nenes(2005)对气溶胶活化的高级处理方法及其最新更新(统称为FN系列)已被纳入到新开发的基于气候研究和预报模型并结合物理方法的区域性气候-空气质量模型中第5版(WRF-CAM5)的“社区大气模型”,以模拟解析云和对流云中的气溶胶-云相互作用。该模型在2005年和2010年的整个两年中都应用于东亚。针对气象,辐射和云变量,化学浓度和柱质量丰度与卫星数据和空气质量的地面观测的模型预测,进行了全面的模型评估。东亚各地的监视站点。该模型在主要气象变量(包括近地表温度,比湿度,风速,降水,云量,可降水量的水,向下的短波和长波辐射)以及CO,SO_2,NO_2,HCHO和O_3的柱质量丰度方面的总体表现良好。就大小和空间分布而言。在所有站点的CO和NO_x表面浓度以及某些站点的SO_2,O_3,PM_(2.5)和PM_(10)浓度,气溶胶光学深度,海洋上的云凝结核,云滴数浓度的预测中,存在较大的偏差。 (CDNC),云水和冰水路径以及云光学厚度。与默认的Abdul-Razzack Ghan(2000)参数化相比,FN系列的模拟产生的CDNC高约107–113%,其中一半的差异归因于FN系列较高的气溶胶活化率,其余的一半归因于反馈在随后的云微物理过程中。随着更高的CDNC,FN系列在模拟云水路径,云光学厚度,向下短波辐射,短波云强迫和降水等方面更加熟练。模型评估确定了几个方面的改进,包括排放及其垂直分配,以及诸如气溶胶形成,云滴成核和冰成核等模型公式。

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