Articles | Volume 16, issue 12
https://doi.org/10.5194/essd-16-5579-2024
https://doi.org/10.5194/essd-16-5579-2024
Data description paper
 | 
06 Dec 2024
Data description paper |  | 06 Dec 2024

Water vapor Raman lidar observations from multiple sites in the framework of WaLiNeAs

Frédéric Laly, Patrick Chazette, Julien Totems, Jérémy Lagarrigue, Laurent Forges, and Cyrille Flamant

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2024-73', Anonymous Referee #1, 03 Jun 2024
    • AC1: 'Reply on RC1', Frédéric Laly, 09 Oct 2024
  • RC2: 'Comment on essd-2024-73', Anonymous Referee #2, 20 Sep 2024
    • AC2: 'Reply on RC2', Frédéric Laly, 09 Oct 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Frédéric Laly on behalf of the Authors (09 Oct 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (21 Oct 2024) by Graciela Raga
AR by Frédéric Laly on behalf of the Authors (22 Oct 2024)
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Short summary
We present a dataset of water vapor mixing ratio profiles acquired during the Water Vapor Lidar Network Assimilation campaign in fall and winter 2022 and summer 2023, using three lidar systems deployed on the western Mediterranean coastline. This innovative campaign provides access to lower-tropospheric water vapor variability to constrain meteorological forecasting models. The scientific objective is to improve forecasting of heavy-precipation events that lead to flash floods and landslides.
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