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Evaluation of MM5 Optically Thin Clouds over Europe in Fall Using ICESat Lidar Spaceborne Observations

机译:利用ICESat激光雷达星载观测评估欧洲秋季的MM5光学薄云

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The description of clouds in mesoscale models has progressed significantly during recent years by improving microphysical schemes with more physical parameterizations deduced from observations. Recently, the first lidar in space, the Ice, Cloud, and Land Elevation Satellite (ICESat)/Geosciences Laser Altimeter System, has collected a valuable dataset that improves the knowledge of occurrence and macrophysical properties of clouds, and particularly high-altitude clouds, which are usually optically thin. This study evaluates the capability of the fifth-generation Pennsylvania State University-NCAR Mesoscale Model (MM5) to reproduce optically thin clouds using the ICESat October-November 2003 dataset. Initial and boundary conditions are prescribed from NCEP products and MM5 run over the European continent with a 40-km spatial resolution. Spaceborne lidar profiles are diagnosed from model outputs and compared with the observed ones at the same location and time. One month of simulations—observations comparisons shows that the model correctly reproduces cloud structures on average, but underestimates the thinnest clouds (by 0%-20%) and overestimates less thin clouds in the upper troposphere (altitude >6 km). The total low-level water cloud amount (altitude <6 km) appears fairly well reproduced, although the masking effect of higher clouds does not allow for a firm conclusion. The clouds are rarely simulated and observed simultaneously, 50% for high clouds and 20% for low clouds. The lack of high-altitude very thin clouds is possibly due to dry biases in the upper-troposphere humidity fields used to force the model. The overes-timation of optically less thin cloud may be due to an overestimation of the cloud lifetime or water vapor supersaturation around ice clouds that is not taken into account in the model. When the upper troposphere and low warm clouds appear in the model at the same time and location as in the observations, they are optically too thick, likely because their water/ice content and particle concentration are overestimated simultaneously.
机译:近年来,通过改进微物理方案和从观测中推导出的更多物理参数,对中尺度模型中云的描述有了显着进展。最近,第一个太空激光雷达,即冰,云和陆地高程卫星(ICESat)/地球科学激光测高仪系统,收集了宝贵的数据集,可提高人们对云(尤其是高海拔云)的发生和宏观物理特性的了解,通常在光学上很薄。这项研究评估了第五代宾夕法尼亚州立大学NCAR中尺度模型(MM5)使用ICESat 2003年10月至11月数据集复制光学薄云的能力。 NCEP产品规定了初始条件和边界条件,MM5在欧洲大陆上以40 km的空间分辨率运行。根据模型输出诊断星载激光雷达轮廓,并将其与在相同位置和相同时间观察到的轮廓进行比较。一个月的模拟-观察比较表明,该模型平均正确地再现了云的结构,但是低估了最薄的云(0%-20%),并高估了对流层上较薄的云(海拔> 6 km)。尽管较高云层的掩盖作用不能得出确切结论,但总的低层水云量(海拔<6 km)看起来相当好。很少同时模拟和观察云,高云为50%,低云为20%。缺乏高空非常薄的云层可能是由于用于强迫模型的高对流层湿度场中的干燥偏差。光学上稀薄的云的过高估计可能是由于模型中未考虑的云寿命或冰云周围水蒸气过饱和的过高估计。当高对流层和低层暖云与观测中的时间和地点同时出现在模型中时,它们的光学厚度过大,可能是因为它们的水/冰含量和颗粒浓度同时被高估了。

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