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Evaluation on the Vertical Distribution of Liquid and Ice Phase Cloud Fraction in Community Atmosphere Model Version 5.3 using Spaceborne Lidar Observations

机译:社区气氛型号5.3中液体和冰相云分数垂直分布的评价

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Cloud partition between liquid and ice phases and their vertical distributions are crucial to energy budget and global climate. Liquid and ice cloud fractions simulated by Community Atmosphere Model version 5.3 and Cloud Feedback Model Intercomparison Project Observational Simulator Package version 1.4 are evaluated by comparing to satellite retrieval data from Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observation. Model underestimates liquid cloud by 3.3%, 5.5%, and 3.1% and overestimates ice cloud by 1.5%, 6.3%, and 4.6% in high, medium, and low levels, respectively. The misclassification of liquid cloud to ice cloud occurs in all model levels, leading to an overall underestimation of supercooled liquid fraction (SLF) globally and a shift of 50% SLF line from about ?20°C in observation to ?5°C in model. Specifically, model produces excessive ice cloud in extratropics and insufficient liquid cloud in tropics at mixed‐phase levels with temperature between 0 and ?40°C. Plain Language Summary Cloud contains water droplets and ice crystals. In temperature between 0 and ?40°C, supercooled water can coexist with ice particles. The ratio of liquid phase to total cloud amount and its vertical distribution could modulate the solar energy reaching the Earth's surface and impact on the global climate. We ran a global climate model and compared the liquid fraction of cloud with satellite measurements. The model produces more ice, but less liquid cloud in all vertical levels thus underestimates the liquid fraction of cloud. The bias is significant in the levels with coexisted ice and supercooled water clouds and in tropical and high‐latitude regions. The deficiencies in cloud calculation scheme in model are discussed and that could shed a light on future model improvement.
机译:液体和冰阶段之间的云分区及其垂直分布对于能源预算和全球气候至关重要。通过与来自云 - 气溶胶激光器和红外探测器卫星观察的卫星检索数据进行比较,通过比较来自云 - 气球激光乐队和红外探测器卫星观察的卫星检索数据来评估液体和冰云分数.3和云反馈模型相互熟练的项目观测模拟器包1.4版。模型低估液体云3.3%,5.5%和3.1%,并分别高估冰云,分别高,中等和低水平的1.5%,6.3%和4.6%。在所有模型水平中发生液体云的错误分类,导致全球过冷却液体分数(SLF)的整体低估,并在模型中观察到5°C的50%SLF线的偏移。具体而言,模型在越微孔中产生过量的冰云,在热带的混合相位下的液体云在0到40°C之间的热带液体中不足。普通语言摘要云包含水滴和冰晶。在0到40°C之间的温度,过冷水可以与冰颗粒共存。液相与总云量的比例及其垂直分布可以调节太阳能达到地球表面的影响和对全球气候的影响。我们遇到了全球气候模型,并将云液的液体分数与卫星测量进行了比较。该模型产生更多的冰,但在所有垂直水平中较少的液体云,因此低估了云的液体分数。偏差在具有共存冰和过冷水云的水平和热带和高纬度地区的水平中是显着的。讨论了模型中云计算方案的缺陷,可以阐明未来的模型改进。

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