Evaluation of 2010 heatwave prediction skill by SLNE coupled model

Pub Date : 2024-08-07 DOI:10.1515/rnam-2024-0019
Rostislav Yu. Fadeev
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Abstract

SLNE is the coupled model, that was developed in 2023. SL and NE here are the first two letters from SLAV (Semi-Lagrangian, based on Absolute Vorticity equation) model of the atmosphere and NEMO (Nucleus for European Modelling of the Ocean) ocean model that have been coupled using OASIS3-MCT software. The initial conditions for SLAV and NEMO are specified from an atmospheric and ocean analyses produced in Hydrometcentre of Russia. The 2010–2021 hindcast accuracy study shows, that SLNE has comparable errors to the operational SLAV model on a sub-seasonal time scale. The SLNE model has improved prediction skill of the 2010 heatwave features in comparison to SLAV, that is a motivation for further work to improve the coupled model.
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SLNE 耦合模型对 2010 年热浪预测能力的评估
SLNE 是 2023 年开发的耦合模型。SL 和 NE 是 SLAV(基于绝对涡度方程的半拉格朗日)大气模型和 NEMO(欧洲海洋建模核心)海洋模型的前两个字母,这两个模型使用 OASIS3-MCT 软件进行耦合。SLAV 和 NEMO 的初始条件是根据俄罗斯水文中心的大气和海洋分析结果确定的。2010-2021 年后报精度研究表明,SLNE 在亚季节时间尺度上的误差与运行中的 SLAV 模型相当。与 SLAV 相比,SLNE 模式提高了对 2010 年热浪特征的预测能力,这是进一步改进耦合模式的动力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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