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Forecast skill of multi-year seasonal means in the decadal prediction system of the Max Planck Institute for Meteorology

机译:马克斯普朗克气象研究所年代际预测系统​​多年季节预报技巧

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摘要

We examine the latest decadal predictions performed with the coupled model MPI-ESM as part of the Coupled Model Intercomparison Project Phase 5 (CMIP5). We use ensembles of uninitialized and yearly initialized experiments to estimate the forecast skill for surface air temperature. Like for its precursor, the initialisation of MPI-ESM improves forecast skill for yearly and multi-yearly means, predominately over the North Atlantic for all lead times. Over the tropical Pacific, negative skill scores reflect a systematic error in the initialisation. We also examine the forecast skill of multi-year seasonal means. Skill scores of winter means are predominantly positive over northern Europe. In contrast, summer to autumn means reveal positive skill scores over central and south-eastern Europe. The skill scores of summer means are attributable to an observed pressure-gradient response to the North Atlantic surface temperatures.
机译:我们将耦合模型MPI-ESM作为耦合模型相互比较项目第5阶段(CMIP5)的一部分,研究了最新的年代际预测。我们使用未初始化和每年初始化的实验合奏来估计地面气温的预报技能。像其前身一样,MPI-ESM的初始化可提高年度和多年平均值的预测能力,主要是在整个交货期都超过北大西洋。在热带太平洋地区,负技能得分反映了初始化过程中的系统错误。我们还检查了多年季节性均值的预测技巧。冬季平均技能得分主要在北欧为正。相反,夏季到秋季意味着在中欧和东南欧显示出积极的技能得分。夏季平均值的技能得分可归因于观察到的对北大西洋地表温度的压力梯度响应。

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