Water vapor raman lidar observations from multiple sites in the framework of walineas

HIGHLIGHTS

• What: The aims were to investigate the water vapor content during case studies of heavy-precipitation events in the coastal western Mediterranean and assess the impact of high spatiotemporal WVMR on numerical weather prediction forecasts by means of state-of-the-art assimilation techniques. The paper presents details about the et_al 2023) is divided into two sub-datasets: the first with a time resolution of 15 min which contains a total of 26 423 WVMR vertical profiles and the second with a time resolution of 30 min to improve the signalto-noise ratio and signal altitude range . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.