Simulation study demonstrates improved urban wind field modeling via multi-source data assimilation, suggesting better frameworks for typhoon disaster mitigation.
Key Points
To reconstruct three-dimensional urban wind fields during super typhoons by assimilating multi-scale observational meteorological data into the WRF-3DVAR modeling system.
Assimilated multi-source observations—including satellite radiance data, surface weather station measurements, and LiDAR-derived vertical wind profiles—into WRF-3DVAR during Typhoon Yagi.
Conducted independent model validation against data from six high-wind-speed stations (GI, NGP, NLS, PEN, TMS, YTS) and regional LiDAR observations.
Satellite radiance assimilation effectively calibrated the mesoscale track of Typhoon Yagi, while surface stations improved near-surface wind physical constraints.
LiDAR vertical wind profiles refined vertical momentum exchange within the typhoon boundary layer, significantly improving the accuracy of simulated near-surface wind profiles and speeds across urban terrain.