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Towards an improved treatment of cloud–radiation interaction in weather and climate models: exploring the potential of the Tripleclouds method for various cloud types using libRadtran 2.0.4

机译:朝着天气和气候模型的改进治疗云辐射相互作用:使用Libradtran 2.0.4探索各种云类型的Tripleclouds方法的潜力

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The representation of unresolved clouds in radiation schemes of coarse-resolution weather and climate models has progressed noticeably over the past years. Nevertheless, a lot of room remains for improvement, as the current picture is by no means complete. The main objective of the present study is to advance the cloud–radiation interaction parameterization, focusing on the issues related to model misrepresentation of cloud horizontal inhomogeneity. This subject is addressed with the Tripleclouds radiative solver, the fundamental feature of which is the inclusion of the optically thicker and thinner cloud fraction. The research challenge is to optimally set the pair of cloud condensates characterizing the two cloudy regions and the corresponding geometrical split of layer cloudiness. A diverse cloud field data set was collected for the analysis, comprising case studies of stratocumulus, cirrus and cumulonimbus. The primary goal is to assess the validity of the global cloud variability estimate along with various condensate distribution assumptions. More sophisticated parameterizations are subsequently explored, optimizing the treatment of overcast as well as extremely heterogeneous cloudiness. The radiative diagnostics including atmospheric heating rate and net surface flux are consistently studied using the Tripleclouds method, evaluated against a three-dimensional radiation computation. The performance of Tripleclouds mostly significantly surpasses the calculation on horizontally homogeneous cloudiness. The effect of horizontal photon transport is further quantified. The overall conclusions are intrinsically different for each particular cloud type, encouraging endeavors to enhance the use of cloud-regime-dependent methodologies in next-generation atmospheric models. This study, highlighting the Tripleclouds potential for three essential cloud types, signifies the need for more research examining a broader spectrum of cloud morphologies.
机译:在过去几年中,粗辨率天气和气候模型的辐射方案中未解决的云的表现在过去几年中显着进展。然而,由于目前的图片绝不完全,大量的空间仍然有所改善。本研究的主要目的是推进云辐射交互参数化,重点关注与模型歪曲水平不均匀性的模型虚假相关的问题。该主题通过TripleClouds辐射求解器来解决,其基本特征是含有光学较厚和较薄的云分数。研究挑战是最佳地设置一对云冷凝物,其表征两个阴天区域和层云层的相应几何分裂。收集了各种云现场数据集,用于分析,包括对划分性的案例研究,Cirrus和Cumulonimbus。主要目标是评估全球云变异性估计的有效性以及各种凝结分布假设。随后探讨了更复杂的参数化,优化了阴云密布的处理以及极其异质的浑浊。使用TripleClouds方法一致地研究包括大气加热速率和净表面通量的辐射诊断,该方法对三维辐射计算评估。 Tripleclouds的性能大多明显超过了水平均匀云核的计算。水平光子传输的效果进一步定量。整体结论对于每个特定的云类型,令人振奋的努力在下一代大气模型中加强云政题依赖方法的使用。本研究突出了三次基本云类型的Tripleclouds潜力,表示需要更多研究检查更广泛的云形态。

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