Articles | Volume 15, issue 7
https://doi.org/10.5194/amt-15-2021-2022
https://doi.org/10.5194/amt-15-2021-2022
Research article
 | 
05 Apr 2022
Research article |  | 05 Apr 2022

Towards the use of conservative thermodynamic variables in data assimilation: a case study using ground-based microwave radiometer measurements

Pascal Marquet, Pauline Martinet, Jean-François Mahfouf, Alina Lavinia Barbu, and Benjamin Ménétrier

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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 amt-2021-361', Anonymous Referee #1, 13 Dec 2021
    • AC1: 'Reply on RC1', Pascal MARQUET, 21 Jan 2022
  • RC2: 'Comment on amt-2021-361', Anonymous Referee #2, 16 Dec 2021
    • AC2: 'Reply on RC2', Pascal MARQUET, 21 Jan 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Pascal Marquet on behalf of the Authors (21 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (09 Feb 2022) by Maximilian Maahn
RR by Anonymous Referee #1 (22 Feb 2022)
RR by Anonymous Referee #2 (26 Feb 2022)
ED: Publish subject to technical corrections (28 Feb 2022) by Maximilian Maahn
AR by Pascal Marquet on behalf of the Authors (07 Mar 2022)  Author's response    Manuscript
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Short summary
Two conservative thermodynamic variables (moist-air entropy potential temperature and total water content) are introduced into a one-dimensional EnVar data assimilation system to demonstrate their benefit for future operational assimilation schemes, with the use of microwave brightness temperatures from a ground-based radiometer installed during the field campaign SOFGO3D. Results show that the brightness temperatures analysed with the new variables are improved, including the liquid water.