Articles | Volume 15, issue 20
Geosci. Model Dev., 15, 7859–7878, 2022
https://doi.org/10.5194/gmd-15-7859-2022
Geosci. Model Dev., 15, 7859–7878, 2022
https://doi.org/10.5194/gmd-15-7859-2022
Development and technical paper
26 Oct 2022
Development and technical paper | 26 Oct 2022

Data assimilation for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 1.0.0): EnVar implementation and evaluation

Zhiquan Liu et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-133', Anonymous Referee #1, 18 Aug 2022
  • RC2: 'Comment on gmd-2022-133', Anonymous Referee #2, 21 Aug 2022
  • RC3: 'Comment on gmd-2022-133', Anonymous Referee #3, 29 Aug 2022
  • AC1: 'Comment on gmd-2022-133', Zhiquan Liu, 25 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Zhiquan Liu on behalf of the Authors (29 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (10 Oct 2022) by Po-Lun Ma
Download
Short summary
JEDI-MPAS 1.0.0, a new data assimilation (DA) system for the MPAS model, was publicly released for community use. This article describes JEDI-MPAS's implementation of the ensemble–variational DA technique and demonstrates its robustness and credible performance by incrementally adding three types of microwave radiances (clear-sky AMSU-A, all-sky AMSU-A, clear-sky MHS) to a non-radiance DA experiment. We intend to periodically release new and improved versions of JEDI-MPAS in upcoming years.