Articles | Volume 14, issue 8
Atmos. Meas. Tech., 14, 5369–5395, 2021
https://doi.org/10.5194/amt-14-5369-2021
Atmos. Meas. Tech., 14, 5369–5395, 2021
https://doi.org/10.5194/amt-14-5369-2021

Research article 06 Aug 2021

Research article | 06 Aug 2021

Physical characteristics of frozen hydrometeors inferred with parameter estimation

Alan J. Geer

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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-2021-50', Anonymous Referee #1, 08 Apr 2021
    • AC1: 'Reply to referee comment 1', Alan Geer, 04 Jun 2021
  • RC2: 'Comment on amt-2021-50', Anonymous Referee #2, 09 Apr 2021
    • AC2: 'Reply to referee comment 2', Alan Geer, 04 Jun 2021
  • RC3: 'Comment on amt-2021-50', Anonymous Referee #3, 13 Apr 2021
    • AC3: 'Reply to referee comment 3', Alan Geer, 04 Jun 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Alan Geer on behalf of the Authors (24 Jun 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (09 Jul 2021) by S. Joseph Munchak
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Short summary
Satellite observations sensitive to cloud and precipitation help improve the quality of weather forecasts. However, they are sensitive to things that models do not forecast, such as the shapes and sizes of snow and ice particles. These details can be estimated from the observations themselves and then incorporated in the satellite simulators used in weather forecasting. This approach, known as parameter estimation, will be increasingly useful to build models of poorly known physical processes.