能见度新算法在雾事件中的应用

Wang Wei, Zhao Yue, L. Zhi-jie, Qu Ping
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引用次数: 0

摘要

为了提高数值天气预报模式的能见度计算精度,本文尝试探索两种新的能见度计算方法。首先,建立了基于空气温度、露点温度和相对湿度的多要素能见度算法;然后提出了一种能见度融合方法。验证表明,多要素能见度算法的计算精度优于单一相对湿度法,且能见度融合算法能较好地描述雾事件的区域分布。能见度融合算法克服了单一能见度算法的局限性,提高了雾的预测精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of visibility new algorithms on fog event
To improve the visibility calculation accuracy of numerical weather predict model, the paper tries to explore two new visibility calculation methods. Firstly, a multi-element visibility algorithm is established based on air temperature, dew point temperature and relative humidity. Then a visibility fusion method is developed. Verifications show that the calculation accuracy of multi-element visibility algorithm gains an advantage over a single relative humidity method, and the visibility fusion algorithm can describe the regional distribution of fog event. visibility fusion algorithm can overcome the limitation of single visibility algorithm and improves the prediction accuracy of fog.
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