Paper on assimilating Doppler wind lidar and Doppler radar data into a hurricane model published in Remote Sensing

This study examines the impact of assimilating Doppler Wind Lidar (DWL) data on hurricane prediction in the operational Hurricane Weather Research and Forecasting system. A series of experiments were conducted to identify the best way to assimilate the DWL data in comparison to assimilation of Tail Doppler radar data. A new data thinning method was developed that improved the track and intensity forecasts.

For more information, contact This study is supported by NOAA Award # NA19OAR4590239 and NSF Award #OAC 2004658. It can be accessed at