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Application of an Online-Coupled Regional Climate Model, WRF-CAM5, over East Asia for Examination of Ice Nucleation Schemes: Part II. Sensitivity to Heterogeneous Ice Nucleation Parameterizations and Dust Emissions

机译:在线耦合的区域气候模型WRF-CAM5在东亚的冰核方案研究:第二部分。对非均质冰核参数化和粉尘排放的敏感性

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Aerosol particles can affect cloud microphysical properties by serving as ice nuclei (IN). Large uncertainties exist in the ice nucleation parameterizations (INPs) used in current climate models. In this Part II paper, to examine the sensitivity of the model predictions to different heterogeneous INPs, WRF-CAM5 simulation using the INP of Niemand et al. (N12) [1] is conducted over East Asia for two full years, 2006 and 2011, and compared with simulation using the INP of Meyers et al. (M92) [2], which is the original INP used in CAM5. M92 calculates the nucleated ice particle concentration as a function of ice supersaturation, while N12 represents the nucleated ice particle concentration as a function of temperature and the number concentrations and surface areas of dust particles. Compared to M92, the WRF-CAM5 simulation with N12 produces significantly higher nucleated ice crystal number concentrations (ICNCs) in the northern domain where dust sources are located, leading to significantly higher cloud ice number and mass concentrations and ice water path, but the opposite is true in the southern domain where temperatures and moistures play a more important role in ice formation. Overall, the simulation with N12 gives lower downward shortwave radiation but higher downward longwave radiation, cloud liquid water path, cloud droplet number concentrations, and cloud optical depth. The increase in cloud optical depth and the decrease in downward solar flux result in a stronger shortwave and longwave cloud forcing, and decreases temperature at 2-m and precipitation. Changes in temperature and radiation lower surface concentrations of OH, O3, SO42−, and PM2.5, but increase surface concentrations of CO, NO2, and SO2 over most of the domain. By acting as cloud condensation nuclei (CCN) and IN, dust particles have different impacts on cloud water and ice number concentrations, radiation, and temperature at 2-m and precipitation depending on whether the dominant role of dust is CCN or IN. These results indicate the importance of the heterogeneous ice nucleation treatments and dust emissions in accurately simulating regional climate and air quality.
机译:气溶胶颗粒可以充当冰核(IN),从而影响云的微物理性质。当前气候模型中使用的冰核参数(INP)存在很大的不确定性。在第二部分论文中,为了检验模型预测对不同异构INP的敏感性,使用Niemand等人的INP进行WRF-CAM5模拟。 (N12)[1]在东亚进行了整整两年的时间,分别是2006年和2011年,并与使用Meyers等人的INP进行的模拟进行了比较。 (M92)[2],它是CAM5中使用的原始INP。 M92计算出有核冰粒浓度与冰过饱和度的函数关系,而N12则代表有核冰粒浓度与温度,尘埃粒子数浓度和表面积的关系。与M92相比,使用N12进行的WRF-CAM5模拟在尘埃源所在的北部地区产生明显更高的有核冰晶数浓度(ICNC),从而导致明显更高的云冰数和质量浓度以及冰水路径,但是相反在南部地区,温度和湿气在结冰中起着更重要的作用,这是事实。总体而言,使用N12进行的模拟给出了较低的向下短波辐射,但是较高的向下长波辐射,云水路径,云滴数浓度和云光学深度。云的光学深度的增加和向下太阳通量的减少导致更强的短波和长波云强迫,并降低了2-m处的温度和降水。温度和辐射的变化降低了OH,O 3 ,SO 4 2-和PM 2.5 的表面浓度,但会增加大部分域中CO,NO 2 和SO 2 的表面浓度。通过充当云凝结核(CCN)和IN,尘埃颗粒对云水中水和冰的浓度,2-m处的辐射和温度以及降水的影响不同,这取决于尘埃的主要作用是CCN还是IN。这些结果表明,在准确模拟区域气候和空气质量方面,异质冰成核处理和粉尘排放的重要性。

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