基于中尺度数值大气模式的海雾特征参数研究

doi:10.3969/j.issn.1000-1093.2020.03.011

摘要/Abstract

摘要： 为了研究掠海激光类武器在海雾气溶胶环境下的回波特性，需要进一步获取海雾气溶胶的特征参数。基于中尺度数值大气模式的天气研究与预报模型，在垂直空间针对海雾所在空间区域设置更为密集的η分层，对2015年4月28日~2015年4月29日的渤海海雾过程进行数值模拟分析，得到云水混合比、雾顶高度等海雾特征参数的数据，进而计算出影响激光回波的水平能见度数据。研究结果表明：对于海雾所在空间区域（海拔高度400 m以下），增大η分层数能够进一步细化海雾的特征参数，提高获取的数据精度；能见度参数可以通过云水混合比等海雾特征参数推算得到，其精度受海雾参数精度影响。

关键词: 激光引信, 海雾, 中尺度数值大气模式, 天气研究与预报, 云水混合比, 能见度, 数值模拟, 特征参数

Abstract: In order to study the echo characteristics of sea-skimming laser weapons in the sea fog aerosol environment, it is necessary to further obtain the parameters of sea fog aerosols. Based on the mesoscale numerical atmospheric model WRF, a more intensive η layering was set in the vertical space for the spatial region where the sea fog exists, and the formation process of sea fog was numerically simulated from April 28 to April 29, 2015. The data of the sea fog characteristic parameters, such as the cloud-water mixing ratio and the fog top height, are calculated, and the horizontal visibility data affecting the laser echo is calculated. The results show that the η layer number can be further refined according to the spatial region where the sea fog exists (up to 400 m above sea level), and the characteristic parameters of sea fog can be further refined to improve the accuracy of the acquired data. The visibility parameter can be calculated from the sea fog characteristic parameters, such as cloud-water mixing ratio. The calculating accuracy is affected by the accuracy of the sea fog parameters. Key

Key words: laserfuze, seafog, mesoscalenumericalatmosphericmodel, weatherresearchandforecasting, cloud-watermixingratio, visibility, numericalsimulation, characteristicparameter

中图分类号:

TJ43⁺9.2

龙胤宇，陈慧敏，王凤杰，陆长平. 基于中尺度数值大气模式的海雾特征参数研究[J]. 兵工学报, 2020, 41(3): 507-516.

LONG Yinyu, CHEN Huimin, WANG Fengjie, LU Changping. Research on Sea Fog Characteristic Parameters Based on Mesoscale Numerical Atmospheric Model[J]. Acta Armamentarii, 2020, 41(3): 507-516.

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第3期2020 年3月兵工学报ACTA
ARMAMENTARIIVol.41No.3Mar.2020

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