Articles | Volume 17, issue 11
https://doi.org/10.5194/amt-17-3515-2024
https://doi.org/10.5194/amt-17-3515-2024
Research article
 | 
10 Jun 2024
Research article |  | 10 Jun 2024

High Spectral Resolution Lidar – generation 2 (HSRL-2) retrievals of ocean surface wind speed: methodology and evaluation

Sanja Dmitrovic, Johnathan W. Hair, Brian L. Collister, Ewan Crosbie, Marta A. Fenn, Richard A. Ferrare, David B. Harper, Chris A. Hostetler, Yongxiang Hu, John A. Reagan, Claire E. Robinson, Shane T. Seaman, Taylor J. Shingler, Kenneth L. Thornhill, Holger Vömel, Xubin Zeng, and Armin Sorooshian

Data sets

MERRA-2 tavg1\_2d\_flx\_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Surface Flux Diagnostics V5.12.4 GMAO (Global Modeling and Assimilation Office) https://doi.org/10.5067/7MCPBJ41Y0K6

Aerosol Cloud MeTeorology Interactions oVer the western ATlantic Experiment Data NASA Langley Research Center https://doi.org/10.5067/SUBORBITAL/ACTIVATE/DATA001

ACTIVATE GOES-16 Supplementary Data Products NASA/LARC/SD/ASDC https://doi.org/10.5067/ASDC/SUBORBITAL/ACTIVATE-Satellite_1,

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Short summary
This study introduces and evaluates a new ocean surface wind speed product from the NASA Langley Research Center (LARC) airborne High-Spectral-Resolution Lidar – Generation 2 (HSRL-2) during the NASA ACTIVATE mission. We show that HSRL-2 surface wind speed data are accurate when compared to ground-truth dropsonde measurements. Therefore, the HSRL-2 instrument is able obtain accurate, high-resolution surface wind speed data in airborne field campaigns.