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Developing a Cloud Scheme With Prognostic Cloud Fraction and Two Moment Microphysics for ECHAM‐HAM

机译:开发具有预后云分数的云方案及其用于回波火腿的两点微妙

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We present a new cloud scheme for the ECHAM‐HAM global climate model (GCM) that includes prognostic cloud fraction and allows for subsaturation and supersaturation with respect to ice separately in the cloud‐free and cloudy air. Stratiform clouds form by convective detrainment, turbulent vertical diffusion, and large‐scale ascent. For each process, the corresponding cloud fraction is calculated, and the individual updraft velocities are used to determine cloud droplet/ice crystal number concentrations. Further, convective condensate is always detrained as supercooled cloud droplets at mixed‐phase temperatures (between 235 and 273?K), and convectively detrained ice crystal number concentrations are calculated based on the updraft velocity. Finally, the new scheme explicitly calculates condensation/evaporation and deposition/sublimation rates for phase‐change calculations. The new cloud scheme simulates a reasonable present‐day climate, reduces the previously overestimated cirrus cloud fraction, and in general improves the simulation of ice clouds. The model simulates the observed in‐cloud supersaturation for cirrus clouds, and it allows for a better representation of the tropical to extra‐tropical ratio of the longwave cloud radiative effect. Further, the ice water path, the ice crystal number concentrations, and the supercooled liquid fractions in mixed‐phase clouds agree better with observations in the new model than in the reference model. Ice crystal formation is dominated by the liquid‐origin processes of convective detrainment and homogeneous freezing of cloud droplets. The simulated ice clouds strongly depend on model tuning choices, in particular, the enhancement of the aggregation rate of ice crystals. Plain Language Summary This paper describes a new cloud scheme for the global climate model ECHAM‐HAM that better represents the ice cloud formation processes. It calculates the formation of clouds by convection, turbulent vertical diffusion, and large‐scale ascent. For each cloud formation process, the scheme calculates the cloud volume and the number concentration and size of cloud droplets and ice crystals. Further, it calculates how cloud droplets and ice crystals grow with time until they are large enough to form precipitation and are removed from the cloud. We show how the introduction of new formulations of the cloud processes affects the simulated clouds. The new ice cloud fraction compares better to satellite observations. In‐cloud properties including ice crystal number concentrations, the fraction of supercooled liquid clouds, and the radiative effects of clouds are also compared to observations. We conclude that the new cloud scheme better captures the observed properties of ice clouds and improves our capability to simulate and understand ice clouds.
机译:我们为ECHAM-HAM全球气候模型(GCM)提出了一种新的云方案,包括预后云分数,并且允许在无云和多云的空气中分别相对于冰的余地和过饱和。通过对流碎屑,湍流垂直扩散和大型上升的层状云。对于每个过程,计算相应的云分数,并且使用各个上升速度来确定云液滴/冰晶数量浓度。此外,对流缩合物总是将混合相温度(235至273 k)的过冷云液滴(235和273×K)滴落,并且基于上升速度计算定性地拒绝冰晶数浓度。最后,新方案明确计算相变计算的凝结/蒸发和沉积/升华率。新的云方案模拟了合理的当前气候,减少了先前高估的卷云云分数,一般提高了冰云的模拟。该模型模拟了卷云云观察到的内云体积,并且允许更好地表示热带与龙波云辐射效果的热带比例。此外,混合相云中的冰水路径,冰晶数浓度和过冷液体级分在新模型中的观察结果比参考模型更好。冰晶形成是由对流滴乳的液体原点过程的主导,云液滴的均匀冷冻。模拟冰云强烈依赖于模型调整选择,特别是提高冰晶的聚集速率。简单语言摘要本文介绍了全球气候模型回波 - 火腿的新云方案,更好地代表了冰云形成过程。它通过对流,湍流垂直扩散和大规模上升来计算云的形成。对于每个云形成过程,该方案计算云量和云液滴和冰晶的数量浓度和尺寸。此外,它计算云液滴和冰晶如何随时间生长,直到它们足够大以形成沉淀并从云中移除。我们展示了如何引入云流程的新配方影响模拟云。新的冰云分数比卫星观测更好。在包括冰晶号浓度,超冷却液体云的分数以及云的辐射效果也与观察结果相比,包括冰晶号浓度。我们得出结论,新的云方案更好地捕获了观察到的冰云属性,并提高了模拟和理解冰云的能力。

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