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全球大气-气溶胶模型ICON-A-HAM2.3——初始模型评估及辐射平衡调整对气溶胶光学厚度的影响

The Global Atmosphere-aerosol Model ICON-A-HAM2.3-Initial Model Evaluation and Effects of Radiation Balance Tuning on Aerosol Optical Thickness.

作者信息

Salzmann M, Ferrachat S, Tully C, Münch S, Watson-Parris D, Neubauer D, Siegenthaler-Le Drian C, Rast S, Heinold B, Crueger T, Brokopf R, Mülmenstädt J, Quaas J, Wan H, Zhang K, Lohmann U, Stier P, Tegen I

机构信息

Institute for Meteorology Universität Leipzig Leipzig Germany.

Institute of Atmospheric and Climate Science ETH Zürich Zürich Switzerland.

出版信息

J Adv Model Earth Syst. 2022 Apr;14(4):e2021MS002699. doi: 10.1029/2021MS002699. Epub 2022 Apr 2.

Abstract

The Hamburg Aerosol Module version 2.3 (HAM2.3) from the ECHAM6.3-HAM2.3 global atmosphere-aerosol model is coupled to the recently developed icosahedral nonhydrostatic ICON-A (icon-aes-1.3.00) global atmosphere model to yield the new ICON-A-HAM2.3 atmosphere-aerosol model. The ICON-A and ECHAM6.3 host models use different dynamical cores, parameterizations of vertical mixing due to sub-grid scale turbulence, and parameter settings for radiation balance tuning. Here, we study the role of the different host models for simulated aerosol optical thickness (AOT) and evaluate impacts of using HAM2.3 and the ECHAM6-HAM2.3 two-moment cloud microphysics scheme on several meteorological variables. Sensitivity runs show that a positive AOT bias over the subtropical oceans is remedied in ICON-A-HAM2.3 because of a different default setting of a parameter in the moist convection parameterization of the host models. The global mean AOT is biased low compared to MODIS satellite instrument retrievals in ICON-A-HAM2.3 and ECHAM6.3-HAM2.3, but the bias is larger in ICON-A-HAM2.3 because negative AOT biases over the Amazon, the African rain forest, and the northern Indian Ocean are no longer compensated by high biases over the sub-tropical oceans. ICON-A-HAM2.3 shows a moderate improvement with respect to AOT observations at AERONET sites. A multivariable bias score combining biases of several meteorological variables into a single number is larger in ICON-A-HAM2.3 compared to standard ICON-A and standard ECHAM6.3. In the tropics, this multivariable bias is of similar magnitude in ICON-A-HAM2.3 and in ECHAM6.3-HAM2.3. In the extra-tropics, a smaller multivariable bias is found for ICON-A-HAM2.3 than for ECHAM6.3-HAM2.3.

摘要

来自ECHAM6.3 - HAM2.3全球大气 - 气溶胶模型的汉堡气溶胶模块版本2.3(HAM2.3)与最近开发的二十面体非静力ICON - A(icon - aes - 1.3.00)全球大气模型相耦合,从而产生了新的ICON - A - HAM2.3大气 - 气溶胶模型。ICON - A和ECHAM6.3宿主模型使用不同的动力核心、次网格尺度湍流引起的垂直混合参数化以及辐射平衡调整的参数设置。在此,我们研究不同宿主模型对模拟气溶胶光学厚度(AOT)的作用,并评估使用HAM2.3和ECHAM6 - HAM2.3双矩云微物理方案对几个气象变量的影响。敏感性试验表明,由于宿主模型的湿对流参数化中一个参数的默认设置不同,ICON - A - HAM2.3纠正了亚热带海洋上的正AOT偏差。与MODIS卫星仪器反演结果相比,ICON - A - HAM2.3和ECHAM6.3 - HAM2.3中的全球平均AOT存在偏低偏差,但ICON - A - HAM2.3中的偏差更大,因为亚马逊地区、非洲雨林和北印度洋上的负AOT偏差不再被亚热带海洋上的高偏差所补偿。ICON - A - HAM2.3在AERONET站点的AOT观测方面显示出适度的改进。与标准ICON - A和标准ECHAM6.3相比,将几个气象变量的偏差合并为一个单一数字的多变量偏差分数在ICON - A - HAM2.3中更大。在热带地区,ICON - A - HAM2.3和ECHAM6.3 - HAM2.3中的这种多变量偏差幅度相似。在温带地区,ICON - A - HAM2.3的多变量偏差比ECHAM6.3 - HAM2.3小。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fde/9285428/e6eec545f623/JAME-14-0-g002.jpg

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