A Lagrange–Laplace Integration Scheme for Weather Prediction and Climate Modelling

P. Lynch
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Abstract

A time integration scheme based on semi-Lagrangian advection and Laplace transform adjustment has been implemented in a baroclinic primitive equation model. The semi-Lagrangian scheme makes it possible to use large time steps. However, errors arising from the semi-implicit scheme increase with the time step size. In contrast, the errors using the Laplace transform adjustment remain relatively small for typical time steps used with semi-Lagrangian advection. Numerical experiments confirm the superior performance of the Laplace transform scheme relative to the semi-implicit reference model. The algorithmic complexity of the scheme is comparable to the reference model, making it computationally competitive, and indicating its potential for integrating weather and climate prediction models.
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天气预报和气候模拟的拉格朗日-拉普拉斯积分方案
在斜压原始方程模型中实现了一种基于半拉格朗日平流和拉普拉斯变换平差的时间积分方案。半拉格朗日方案使得使用大的时间步长成为可能。然而,半隐式格式的误差随时间步长而增大。相比之下,对于使用半拉格朗日平流的典型时间步长,使用拉普拉斯变换平差的误差仍然相对较小。数值实验证实了拉普拉斯变换方案相对于半隐式参考模型的优越性能。该方案的算法复杂性与参考模式相当,使其在计算上具有竞争力,并表明其整合天气和气候预测模式的潜力。
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