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Residual delay maps unveil global patterns of atmospheric nonlinearity and produce improved local forecasts

机译:残留延迟图揭示了大气非线性的全球格局并产生了改进的局部预报

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摘要

We use residual-delay maps of observational field data for barometric pressure to demonstrate the structure of latitudinal gradients in nonlinearity in the atmosphere. Nonlinearity is weak and largely lacking in tropical and subtropical sites and increases rapidly into the temperate regions where the time series also appear to be much noisier. The degree of nonlinearity closely follows the meridional variation of midlatitude storm track frequency. We extract the specific functional form of this nonlinearity, a V shape in the lagged residuals that appears to be a basic feature of midlatitude synoptic weather systems associated with frontal passages. We present evidence that this form arises from the relative time scales of high-pressure versus low-pressure events. Finally, we show that this nonlinear feature is weaker in a well regarded numerical forecast model (European Centre for Medium-Range Forecasts) because small-scale temporal and spatial variation is smoothed out in the grided inputs. This is significant, in that it allows us to demonstrate how application of statistical corrections based on the residual-delay map may provide marked increases in local forecast accuracy, especially for severe weather systems.
机译:我们使用大气压力观测场数据的残差延迟图来证明大气非线性中的纬度梯度结构。非线性很弱,在热带和亚热带地区非常缺乏,并迅速进入温带地区,在温带地区,时间序列似乎也很嘈杂。非线性程度紧随中纬度风暴轨迹频率的经向变化。我们提取了这种非线性的特定功能形式,即滞后残差中的V形,这似乎是与中风相关的中纬天气天气系统的基本特征。我们提供的证据表明,这种形式是由高压与低压事件的相对时间尺度产生的。最后,我们证明了这种非线性特征在公认的数值预测模型(欧洲中距离预测中心)中较弱,因为在网格化输入中小规模的时间和空间变化被消除了。这很重要,因为它使我们能够证明基于残差延迟图的统计校正应用如何显着提高本地预报的准确性,尤其是在恶劣天气系统中。

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