Articles | Volume 22, issue 6
Research article
22 Mar 2022
Research article |  | 22 Mar 2022

Novel assessment of numerical forecasting model relative humidity with satellite probabilistic estimates

Chloé Radice, Hélène Brogniez, Pierre-Emmanuel Kirstetter, and Philippe Chambon


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-617', Anonymous Referee #1, 28 Oct 2021
    • AC2: 'Reply on RC1', Chloé Radice, 09 Jan 2022
  • RC2: 'Comment on acp-2021-617', Anonymous Referee #2, 21 Nov 2021
    • AC1: 'Reply on RC2', Chloé Radice, 09 Jan 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Chloé Radice on behalf of the Authors (09 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (12 Jan 2022) by Martina Krämer
RR by Anonymous Referee #1 (27 Jan 2022)
ED: Publish as is (31 Jan 2022) by Martina Krämer
Short summary
A novel probabilistic approach is proposed to evaluate relative humidity (RH) profiles simulated by an atmospheric model with respect to satellite-based RH defined from probability distributions. It improves upon deterministic comparisons by enhancing the information content to enable a finer assessment of each model–observation discrepancy, highlighting significant departures within a deterministic confidence range. Geographical and vertical distributions of the model biases are discussed.
Final-revised paper