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致力于消除气候模型中存在数十年的“过于带状且过于偏向赤道”的风暴路径偏差。

Toward Eliminating the Decades-Old "Too Zonal and Too Equatorward" Storm-Track Bias in Climate Models.

作者信息

Schemm Sebastian

机构信息

Institute for Atmospheric and Climate Science ETH Zurich Zurich Switzerland.

出版信息

J Adv Model Earth Syst. 2023 Feb;15(2):e2022MS003482. doi: 10.1029/2022MS003482. Epub 2023 Feb 2.

DOI:10.1029/2022MS003482
PMID:37034017
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10078369/
Abstract

Generations of climate models exhibit biases in their representation of North Atlantic storm tracks, which tend to be too far near the equator and too zonal. Additionally, models have difficulties simulating explosive cyclone growth. These biases are one of the reasons for the uncertainties in projections of future climate over Europe, and the underlying causes have yet to be determined. All three biases are shown to be related, and diabatic processes are pointed to as a likely cause. To demonstrate this, two hemispherically symmetric storm tracks forming downstream of an idealized sea surface temperature (SST) front on an aquaplanet are examined using the seamless ICOsahedral Non-hydrostatic weather and climate model (ICON) and its grid refinement capabilities. The analyzed perpetual boreal winter has a global grid spacing of 20 km, two bi-directionally interacting grid nests over the Northern Hemisphere that refine the grid to 10-km spacing over much of the stormtrack and further to 5-km spacing near the SST front. In contrast, no grid refinement is performed for the Southern Hemisphere. Feature-based cyclone tracking shows that the poleward propagation in the NH is enhanced, so the high-resolution storm track is less equatorward and less zonal; explosive deepening rates are more frequent and precipitation rates are amplified. The implication is that resolving diabatic processes on the storm scale improves all three intersecting biases in the representation of storm tracks. While new challenges arise at cloud resolving scales, much improvement for the representation of storm tracks will be gained once climate models resolve the meso- scale.

摘要

几代气候模型在表示北大西洋风暴路径时都存在偏差,这些路径往往过于靠近赤道且过于呈纬向分布。此外,模型在模拟爆发性气旋发展方面存在困难。这些偏差是欧洲未来气候预测存在不确定性的原因之一,其根本原因尚未确定。结果表明,所有这三种偏差都是相关的,非绝热过程被认为是一个可能的原因。为了证明这一点,使用无缝二十面体非静力天气和气候模型(ICON)及其网格细化功能,研究了在水星球上理想化海表面温度(SST)锋面下游形成的两个半球对称风暴路径。分析的常年北半球冬季全球网格间距为20公里,在北半球有两个双向相互作用的网格嵌套,将风暴路径大部分区域的网格细化到10公里间距,在SST锋面附近进一步细化到5公里间距。相比之下,南半球没有进行网格细化。基于特征的气旋追踪表明,北半球的向极传播得到增强,因此高分辨率风暴路径更远离赤道且纬向性更弱;爆发性加深速率更频繁,降水速率也有所放大。这意味着在风暴尺度上解析非绝热过程可以改善风暴路径表示中所有三个相互交叉的偏差。虽然在云解析尺度上出现了新的挑战,但一旦气候模型解析中尺度,风暴路径的表示将有很大改进。

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本文引用的文献

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Assessing the scales in numerical weather and climate predictions: will exascale be the rescue?评估数值天气预报和气候预测中的尺度:是否需要超级计算来拯救?
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