双月刊

ISSN 1006-9895

CN 11-1768/O4

基于雾微物理观测改进能见度诊断方案
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1.南京信息工程大学中国气象局气溶胶与云降水重点开放实验室/气象灾害预报预警与评估协同创新中心;2.徐州市气象局

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基金项目:

国家重点研发计划(2019YFA0606803);国家自然科学基金(42027804,41675136,42075073,41975181)


Improved Visibility Diagnostic Scheme Based on Fog Microphysical Observation
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Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration,and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science and Technology

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    摘要:

    为进一步提高雾中能见度的预报准确度,本研究基于安徽黄山光明顶2008年4~7月、2009年5~8月、2011年5~9月和湖北恩施山顶2009年1~3月的雾微物理等观测资料,建立了新的雾中能见度诊断方案,并加以检验。首先,对已有的能见度诊断方案进行比较,验证了能见度方案同时包含数浓度和含水量的重要性。其次,在已有的方案中,能见度与微物理量之间函数关系式的系数往往取作常数,但研究发现这些系数与微物理量本身紧密相关。本研究利用黄山2008年一半的雾观测数据建立了拟合系数与数浓度之间的关系,改进了能见度的诊断方案。最后,把黄山2008年另一半、2009、2011年和恩施2009年的数据作为独立数据,对改进后新方案进行验证,结果均表明新方案能更好的计算能见度。

    Abstract:

    In order to further improve the forecast accuracy of fog visibility, a new fog visibility diagnostic scheme was established and tested based on the observational data of fog microphysics from April to July in 2008, May to August in 2009, May to September in 2011 at the Bright Summit of Mount Huangshan, and January to March in 2009 in Enshi, Hubei Province. First, previously developed visibility diagnostic schemes were compared and the importance of considering both liquid water content and droplet number concentration was confirmed in visibility schemes. Second, the coefficients in the previous diagnostic schemes are often taken as constants, but the close relationship between these coefficients and microphysics was found in this study. The relationships between the fitting coefficients and the droplet number concentration were established by half of Mount Huangshan’s data in 2008 and the visibility diagnostic schemes were improved. The effect of the new scheme has been verified by independent data, which include the other half of Mount Huangshan’s data in 2008, the whole of 2009 and 2011 and Enshi’s data in 2009.

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历史
  • 收稿日期:2021-07-27
  • 最后修改日期:2022-02-19
  • 录用日期:2022-03-14
  • 在线发布日期: 2022-04-01
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