Using Ensemble Data Assimilation to Explore the Environmental Controls on the Initiation and Predictability of Moist Convection
收藏DataCite Commons2023-09-15 更新2025-04-16 收录
下载链接：
https://dataverse.jpl.nasa.gov/citation?persistentId=doi:10.48577/jpl.TEUGOM
下载链接
链接失效反馈官方服务：
资源简介：
Atmospheric deep moist convection has emerged as one of the most challenging topics for numerical weather prediction, due to its chaotic process of development and multi-scale physical interactions. This study examines the dynamics and predictability of a weakly organized linear convective system using convection permitting EnKF analysis and forecasts with assimilating all-sky satellite radiances from a water vapor sensitive band of the Advanced Baseline Imager on GOES-16. The case chosen occurred over the Gulf of Mexico on 11 June 2017 during the NASA Convective Processes Experiment (CPEX) field campaign.
提供机构：
Root
创建时间：
2023-09-15
