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Implementing a physical initialization procedure in a regional spectral model: impact on the short-range rainfall forecasting over South America

机译:在区域光谱模型中实施物理初始化程序:对南美短期降雨预报的影响

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摘要

In this paper we describe the implementation of a physical initialization procedure in the recently developed Florida State University nested regional spectral model, and its impact on short-term forecasting over South America. Because the regional model forecasts perturbations to the global model results, we seek to determine the impact of the boundary condition on the regional model assimilation. The regional model is able to assimilate the satellite-derived rain rates rather well, regardless of whether the global model, providing the boundary conditions, has been physically initialized. The regional model is able to assimilate higher-resolution precipitation data, and also the global model assimilates coarser resolution data as reported in earlier studies. Ten experiments are performed over the northern part of South America during the tropical rainy season of January and February 1999. The initial correlation coefficients of the rain rates exceed 0.9 for all physically initialized cases. The subsequent 24-h forecast is also improved, as measured by spatial correlation coefficients and equitable threat scores.
机译:在本文中,我们描述了在最近开发的佛罗里达州立大学嵌套区域光谱模型中实施物理初始化过程的过程,以及该过程对南美短期预报的影响。因为区域模型预测了对全局模型结果的扰动,所以我们试图确定边界条件对区域模型同化的影响。不管是否已经物理初始化了提供边界条件的全局模型,区域模型都能很好地吸收由卫星产生的降雨率。区域模型能够吸收更高分辨率的降水数据,而全局模型也能够吸收较早研究报告中的较粗分辨率的数据。在1999年1月和1999年2月的热带雨季期间,在南美北部进行了10个实验。在所有物理初始化的情况下,降雨率的初始相关系数都超过0.9。根据空间相关系数和合理的威胁评分,随后的24小时预报也得到了改善。

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