Start
April 26, 2024 - 3:00 pm
End
April 26, 2024 - 3:30 pm
Categories
Convective Meteorology (Mesoscale Dynamics)Convective Meteorology (Mesoscale Dynamics)
Yu-Shin Kim
Simultaneous Multi-scale Data Assimilation of GOES-16 ABI All-Sky Radiances for a Dryline Convection under Various Scale Forcings
April 26th, 2024
3:00 pm / NWC 1350
Abstract: This study aims to investigate the impact of simultaneous Multi-scale Data Assimilation (MDA) of GOES-16 ABI infrared all-sky radiance on the dynamics of various scales during a dryline convection event on 27 May 2019. The evolution of this dryline convection into a bowing Mesoscale Convective System (MCS) was influenced by multi-scale dynamic forcings, including an upper-level jet, a short-wave trough, and low-level convergence. The dryline convection is simulated using the Finite-Volume Cubed-Sphere (FV3) model in its limited area configuration (FV3-LAM), analogous to the Rapid Refresh Forecast System (RRFS). MDA is conducted using Scale-Dependent Localization (SDL) and Variable-Dependent Localization (VDL) in the Gridpoint Statistical Interpolation-based Ensemble Variational (GSI-EnVar) system. Single observation tests and correlations between brightness temperature and model state variables suggest that MDA of all-sky radiance more effectively constrains various dynamic
s compared to traditional Single-scale Data Assimilation (SDA). The enhanced MDA analysis of multi-scale dynamic forcings contributes to a more pronounced bowing process in the MCS over the subsequent 12-hour forecast.