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Evaluation of a new mixed-phase cloud microphysics parameterization with CAM3 single-column model and M-PACE observations

机译:利用CAM3单列模型和M-PACE观测值评估新的混合相云微物理参数化

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Most global climate models generally prescribe the partitioning of condensed water into cloud droplets and cloud ice in mixed-phase clouds according to a temperature-dependent function, which affects modeled cloud phase, cloud lifetime and radiative properties. This study evaluates a new mixed-phase cloud microphysics parameterization ( for ice nucleation and water vapor deposition) against the Atmospheric Radiation Measurement (ARM) Mixed-phase Arctic Cloud Experiment (M-PACE) observations using the NCAR Community Atmospheric Model Version 3 (CAM3) single column model (SCAM). It is shown that SCAM with the new scheme produces a more realistic simulation of the cloud phase structure and the partitioning of condensed water into liquid droplets against observations during the M-PACE than the standard SCAM. A sensitivity test indicates that ice number concentration could play an important role in the simulated mixed-phase cloud microphysics, and therefore needs to be realistically represented in global climate models.
机译:大多数全球气候模型通常根据温度相关函数来规定将冷凝水分成混合相云中的云滴和云冰,这会影响建模的云相,云寿命和辐射特性。这项研究使用NCAR社区大气模型第3版(CAM3),针对大气辐射测量(ARM)混合相北极云实验(M-PACE)观测值,评估了新的混合相云微物理参数化(用于冰成核和水汽沉积) )单列模型(SCAM)。结果表明,与标准SCAM相比,采用M-PACE进行观测时,采用新方案的SCAM对M-PACE产生的云相结构和冷凝水分配成液滴的模拟更加真实。敏感性测试表明,冰数量浓度可能在模拟的混合相云微物理学中起重要作用,因此需要在全球气候模型中现实地表示出来。

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