LIU Huiquan,ZHANG Donghai,CHEN Honghua,et al.Decoding and Inversion Calculation of the Himawari Satellite of the HSD Format based on the MeteoInfoLab[J].Journal of Chengdu University of Information Technology,2020,35(02):163-169.[doi:10.16836/j.cnki.jcuit.2020.02.007]
基于MeteoInfoLab葵花卫星HSD格式解码与反演计算
- Title:
- Decoding and Inversion Calculation of the Himawari Satellite of the HSD Format based on the MeteoInfoLab
- 文章编号:
- 2096-1618(2020)02-0163-07
- Keywords:
- aeronautical meteorology; Himawari satellite HSD data; MeteoInfoLab; cloud top height; inversion calculation; deep convective identification
- 分类号:
- TP399
- 文献标志码:
- A
- 摘要:
- 为提升小机场航空气象预报准确率,增加小机场航空气象短临服务产品,高效使用葵花卫星资料。从航空气象服务需求和实际应用出发,详细介绍了从互联网获取葵花卫星HSD数据,利用MeteoInfoLab脚本方式实现解码,反演计算亮温、云顶高度、深对流识别产品。MeteoInfoLab解码葵花卫星HSD格式数据效率高,投影转换简单,绘图美观。解决了经济条件有限的小机场民航气象部门葵花卫星数据解码技术难题,为小机场航空气象的短临预报提供了帮助。
- Abstract:
- In order to improve the accuracy of the small airport aeronautical meteorological forecast, increase the short-term and imminent service products of the small airport aeronautical meteorologyAnd efficiently use Himawari satellite data(HSD). Based on the demand and practical application of aeronautical meteorological service, we introduce the acquisition of the HSD data of Himawari satellitefrom the Internet in detail, the decoding is realized by MeteoInfoLab script, and the bright temperature, cloud top height and deep convective identification products are calculated by inversion calculation. MeteoInfoLab decoding the Himawari satellite HSD format data is highly efficient, the projection conversion is easy and the drawings are beautiful. In this case,the technical problem of Himawari satellite decoding in the civil aviation meteorological department of small airport with limited economic conditions is solved, which provides help for the weather forecasters who make the forecast the short-term and impending of aviation weather in small airport.
参考文献/References:
[1] 王宏斌,张志薇,刘端阳,等.基于葵花8号新一代静止气象卫星的夜间雾识别[J].高原气象,37(6):1749-1764.
[2] 张夕迪,孙军.葵花8号卫星在暴雨对流云团监测中的应用分析[J].气象,44(10):1245-1254.
[3] 朝鲁门,宁小莉,包玉海,等.基于葵花_8卫星的白天冰云识别初探[J].内蒙古农业大学(自然科学版),2019(2).
[4] 王亚强. MeteoInfo用户手册[Z].
[5] 李光伟.基于CPR和MODIS探测结果的云顶温度和云顶高度反演研究[D],安徽:中国科学技术大学,2010.
[6] NittaT,Sekin R.Interanual variation of the diurnal convection cycle in the western North Pacific[J].Meteorology and Atmoshperic Physics,2005,90:1-2.
[7] 李森,刘健文,刘玉玲.基于FY2D静止卫星云图的强对流云图识别[J].气象水文海洋仪器,2010,6(2):72-78.
备注/Memo
收稿日期:2019-09-05 基金项目:国家自然科学基金资助项目(41865007)