基于GPM卫星的地形因子与降水云高拟合研究  

Topographic factor and precipitation cloud height fitting study based on GPM satellite

作　　者：马琳辉 袁敏[1] Ma Linhui;Yuan Min(Air Traffic Management,Civil Aviation Fight University of China,Guanghan 618307,China)

机构地区：[1]中国民用航空飞行学院空中交通管理学院,广汉618307

出　　处：《现代计算机》2023年第5期51-56,共6页Modern Computer

基　　金：国家重点研发计划“交通基础设施”重点专项2021年“揭榜挂帅”榜单项目(2021YFB2601701⁃01);四川省科技计划项目(2021YFS0326)。

摘　　要：基于Python利用GPM卫星资料对四川地区2018年5月21日降水事件结合坡度、海拔进行了一次分析。结果表明:此次降水属于暴雨—大暴雨等级,主要降水区域集中在104°E、29°N附近;坡度和冻结层高度、雷暴云顶高都呈线性变化,对流云降水呈正相关趋势,层状云降水呈负相关趋势,对流云的相关系数大于层状云的相关系数,坡度对对流云的云高影响较大;海拔和冻结层高度、雷暴云顶高变化趋势与坡度和冻结层高度、雷暴云顶高变化趋势一致,但层状云的相关系数大于对流云的相关系数,海拔对层状云的云高影响较大。An analysis of the precipitation event of May 21,2018 in Sichuan region combined with slope and elevation was conducted once based on python using GPM satellite data.The results show that the precipitation belongs to heavy rainfall-heavy rainfall level,and the main precipitation area is concentrated near 104°E and 29°N;the slope and freezing height,storm top alti⁃tude all show linear changes,convective cloud precipitation shows a positive correlation trend,stratiform cloud precipitation shows a negative correlation trend,the correlation coefficient of convective cloud is larger than that of stratiform cloud,the slope has a greater influence on the cloud height of convective cloud;the change trend of freezing height and storm top altitude is consistent with the change trend of slope and freezing height and storm top altitude,but the correlation coefficient of stratiform cloud is greater than that of convective cloud,and the influence of altitude on cloud height of stratiform cloud is greater.

关 键 词：坡度 海拔 冻结层高度 雷暴云顶高 相关性 

分 类 号：P426.62[天文地球—大气科学及气象学]