使用ARP-GEM2进行全球千米尺度模拟：参数化对流和校准的影响
Global Kilometer-Scale Simulations with ARP-GEM2: Effect of Parameterized Convection and Calibration
AI总结：
本文记录了全球大气模型ARP-GEM2及校准，通过千米尺度模拟研究参数化对流影响。结果显示其对平均状态表示重要，高分辨率有附加值，但平均状态和变率表示需权衡，更高分辨率或能实现明确附加值。
摘要：
本文目的有二。其一，记录全球大气模型ARP-GEM的第二个版本及其在千米尺度分辨率下的校准，该模型目前能以高达1.3千米的分辨率运行模拟。其二，聚焦于在2.6千米分辨率下有或没有参数化对流及相关校准的多年全球大气模拟。无深对流的模拟往往与具有无限或至少大夹带值的模拟相似，夹带和卷出被用作随着分辨率增加对流逐渐减少的主要驱动因素。结果表明，对于这个静力平衡模型，参数化对流在千米尺度平均状态的正确表示中仍起重要作用，高分辨率在表示气候变率方面有一定附加值，但在平均状态和变率的充分表示之间需权衡，可能需要更高分辨率才能实现明确的附加值。
英文摘要：
The objective of this paper is twofold. First, it documents the second version of the global atmospheric model ARP-GEM and its calibration at kilometer-scale resolution. The model is currently able to run simulations at a resolution of up to 1.3 km. Second, this paper focus on multi-year global atmospheric simulations at a 2.6 km resolution with and without parameterized convection and associated calibration. Simulations without deep convection tend to be similar to those with infinite, or at least large, entrainment values. Consistently, entrainment and detrainment are used as primary drivers for the gradual reduction of convection as resolution increases. The results indicate that, with this hydrostatic model, parameterized convection still plays a significant role in the correct representation of the mean state at the kilometer scale. Additionally, they suggest some added value of high resolution in representing climate variability. However, a compromise between the adequate representation of the mean state and variability is necessary, as both are differently favored by the degree of parameterized convection. Finally, it is likely that even higher resolutions are necessary to achieve an unequivocal added value.
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