XU Jiliang,ZHANG Wei,GU Lei,et al.Comparison and Analysis of Multiple Visibility Diagnostic Methods for Airports based on GRAPES_RAFS Numerical Prediction System[J].Journal of Chengdu University of Information Technology,2025,40(05):697-703.[doi:10.16836/j.cnki.jcuit.2025.05.018]
基于GRAPES_RAFS数值预报系统的机场能见度多种诊断方法的比较分析
- Title:
- Comparison and Analysis of Multiple Visibility Diagnostic Methods for Airports based on GRAPES_RAFS Numerical Prediction System
- 文章编号:
- 2096-1618(2025)05-0697-07
- 分类号:
- P457.7
- 文献标志码:
- A
- 摘要:
- 为改善机场能见度的预报准确性,使其更加贴合民航业务运行,基于GRAPES_RAFS数值预报系统,利用Stoelinga Warner(SW)、SW-V1、Rapid Update Cycle(RUC)、Forecast Systems Laboratory(FSL)、Air Force Weather Agency(AFWA)、AFWA-FSL(A-F)等6种能见度诊断方法计算38个千万级机场的能见度,并与机场例行天气报告进行比较,分析平均相对误差和平均绝对误差,得出适用于机场的能见度诊断方法。结果表明:RUC和A-F方法的诊断结果较其他方法好; 同时考虑标准差,A-F方法诊断结果更稳定,优于RUC方法。最后,以各机场A-F方法的MRE作为修正项,得出A-F方法的修正公式,对于不同类型的机场可进行相应的修正。
- Abstract:
- To improve the accuracy of airport visibility forecasting and make it more relevant to the civil aviation business operation,based on GRAPES_RAFS numerical prediction system,the visibility of 38 ten-million-level airports was calculated using six visibility diagnostic methods,including Stoelinga Warner(SW),SW-V1,Rapid Update Cycle(RUC),Forecast Systems Laboratory(FSL),Air Force Weather Agency(AFWA)and AFWA-FSL(A-F).And compared with the airport routine weather report(METAR),Analyzing mean relative error(MRE)and mean absolute error(MAE),to get the visibility diagnostic method applicable to airports.The results show that the diagnostic results of RUC and A-F are better than other methods; considering the standard deviation,the A-F method is more stable and better than RUC.Finally,using the MRE of each airport A-F method as the correction term,the correction formula of the A-F method is obtained,which can be corrected for different types of airports.
参考文献/References:
[1] 周建华.航空气象业务[M]. 北京:气象出版社,2011:169-138.
[2] 曹祥村,邵利民,李晓东.雾模式中能见度参数化方案研究[C]. 中国气象学会.第31届中国气象学会年会S2 灾害天气监测、分析与预报论文集, 北京:中国气象学会,2014:2085-2090.
[3] 李悦,谈进忠,陈鹏,等.基于多元线性回归算法的雾霾预测模型的研究[J]. 沙漠与绿洲气象,2019,13(2):102-107.
[4] 吴乐.基于深度学习的大气能见度预测研究[D]. 西安:西安理工大学,2021.
[5] 岳炼.基于深度学习的机场低能见度预报技术研究[D]. 广汉:中国民用航空飞行学院,2021.
[6] KUNKEL Bruce-A.Parameterization of droplet terminal velocity and extinction coefficient in fog models[J]. Journal of climate and applied meteorology,1984,23(1):34-41.
[7] Stoelinga Mark-T,Warner Thomas-T.Nonhydrostatic,mesobeta-scale model simulations of cloud and visibility for an east coast winter precipitation event [J]. Journal of Applied Meteorology,1999,38(4):385-404.
[8] Gultepe I,Isaac G-A.Aircraft observations of cloud droplet number concentration:Implications for climate studies[J]. Quarterly Journal of Royal Meteorological Society,2004,130(602):2377-2390.
[9] Gultepe I,Muller M-D,Boybeyi Z.A New Visibility Parameterization for Warm-Fog Applications in Numerical Weather Prediction Models [J]. Journal of applied meteorology and climatology.2006,45(11):1469-1480.
[10] Gultepe I,Pearson G,Milbrandt J-A,et al.The fog remote sensing and modeling field project[J]. Bulletin of the American Meteorological Society,2009,90( 3):341-359.
[11] Smirnova Tatiana-G,Benjamin Stanley-G,Brown John-M.Case study verification of RUC /MAPS fog and visibility forecasts [C]. American Meteorogical Society:Preprints,9th Conference on Aviation,Range,and Aerospace Meteorology,Orlando,2000:31-36.
[12] 夏凡,李昌义,刘诗军,等.雾与能见度数值预报诊断SW 方案和FSL 方案改进的研究及评估[J]. 海洋气象学报,2020,40(3):48-59.
[13] 芮雪,陆春松,银燕,等.基于雾微物理观测改进能见度诊断方案[J]. 大气科学,2023,47(5):1375-1387.
[14] 林艳,王茂书,林龙官.四川省冬季雾的数值模拟及能见度参数化[J]. 南京信息工程大学学报(自然科学版),2013,5(3):222-228.
[15] 夏凡,李昌义.基于3 种能见度方案山东地区雾天气预报试验研究[J]. 气象与环境学报,2018,34(3):48-57.
[16] Bang Cheol-Han,Lee Ji-Woo,Hong Song-You.Predictability experiments of fog and visibility in local airports over Korea using the WRF model [J]. Journal of Korean Society for Atmospheric Environment,2008,24(E2):92-101.
[17] 高荣珍,李欣,时晓曚,等.基于WRF模式的青岛近海能见度算法比较研究[J]. 海洋气象学报,2018,38(2):28-35.
[18] 田云菲,杨悦,高山红.一个黄渤海海雾大气水平能见度算法[J]. 海洋气象学报,2019,39(2):24-33.
[19] Wang J-L,Zhang Y-H,Shao M,etal.The quantitaive realationship betweeen visibility and mass concentration of PM2.5 in Beijing[J]. WIT Transactions on Ecology and the Environment,2006,86:595-610.
[20] Ji Denghui,Deng Zhaoze,Sun Xiaoyu,etal.Estimation of PM2.5 mass concentration from visibility[J]. Advances in Atmospheric Sciences,2020,37(7):671-678.
[21] 蔡子颖,杨旭,吕妍,等.基于环境模式PM2.5的渤海及其西岸能见度预报技术优化研究[J]. 环境科学学报,2022,42(6):260-273.
[22] 卢盛栋,陈立瑾,赵桂香,等.太原大气能见度影响因子分析及能见度预报[J]. 沙漠与绿洲气象,2020,14(4):105-112.
[23] 王楠,朱蕾,周建军,等.基于EC细网格产品在乌鲁木齐机场低能见度预测中的释用[J]. 沙漠与绿洲气象,2020,14(2):81-89.
[24] 刘辉权,邹永成,王凌云,等.欧洲细网格数值预报产品在双流机场低能见度天气预报中的应用研究[J]. 成都信息工程大学学报,2023,38(4):467-471.
[25] 徐枝芳,郝民,朱立娟,等.GRAPES_RAFS系统研发[J]. 气象,2013,39(4):466-477.
[26] 朱刚,李江波,孙卓,等.能见度观测方式改变对京津冀地区雾霾判识及统计的影响分析[J]. 气象与环境学报,2023,39(1):55-64.
备注/Memo
收稿日期:2024-01-16
基金项目:国家重点研发计划资助项目(2021YFB2601700)
通信作者:徐记亮.E-mail:xujl0408@sina.com
