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Stochastic downscaling of LAM predictions: an example in the Mediterranean area

机译:LAM预测的随机降尺度:以地中海地区为例

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In the absence of a full deterministic modelling of small-scalerainfall, it is common practice to resort to the use of stochasticdownscaling models to generate ensemble rainfall predictions to beused as inputs to rainfall-runoff models. Here we present anapplication of a novel spatial-temporal downscaling procedurebased on a non-linear transformation of a linearly correlated(gaussian) field. This procedure allows for reproducing thescaling properties (if any) of the rainfall pattern and it can beeasily linked with meteorological forecasts produced by limitedarea meteorological models.
机译:在没有小规模降雨的完全确定性模型的情况下,通常的做法是诉诸于随机降尺度模型来生成整体降雨预测,以用作降雨径流模型的输入。在这里,我们提出了一种基于线性相关(高斯)场的非线性变换的新型时空缩减程序。该程序可以再现降雨模式的缩放特性(如果有),并且可以轻松地与有限区域气象模型产生的气象预报联系起来。

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