Rain attenuation prediction model for satellite communications based on the Météo-France ensemble prediction system PEARP

Dahman, Isabelle; Arbogast, Philippe; Jeannin, Nicolas; Benammar, Bouchra

doi:https://doi.org/10.5194/nhess-18-3327-2018

Articles | Volume 18, issue 12

https://doi.org/10.5194/nhess-18-3327-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-18-3327-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 12

Research article

|

18 Dec 2018

Research article |

| 18 Dec 2018

Rain attenuation prediction model for satellite communications based on the Météo-France ensemble prediction system PEARP

Isabelle Dahman, Philippe Arbogast, Nicolas Jeannin, and Bouchra Benammar

Download

Final revised paper (published on 18 Dec 2018)
Preprint (discussion started on 05 Jun 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: 'reviewer's comment', Anonymous Referee #1, 11 Jul 2018
- AC2: 'Reply to Ref1', Isabelle DAHMAN, 12 Sep 2018
- AC1: 'Reply to Ref2', Isabelle DAHMAN, 12 Sep 2018
  - AC3: 'Reply to ref 2', Isabelle DAHMAN, 12 Sep 2018
RC2: 'Rain Attenuation Prediction Model for Satellite Communications Based on The Météo-France Ensemble Prediction System PEARP', Anonymous Referee #2, 13 Jul 2018
- AC1: 'Reply to Ref2', Isabelle DAHMAN, 12 Sep 2018
- AC2: 'Reply to Ref1', Isabelle DAHMAN, 12 Sep 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Reconsider after major revisions (further review by editor and referees) (13 Sep 2018) by Vassiliki Kotroni

AR by Isabelle DAHMAN on behalf of the Authors (24 Oct 2018) Author's response Manuscript

ED: Publish as is (10 Nov 2018) by Vassiliki Kotroni

Short summary

This paper proposes an innovative method for optimizing the transmissions of high throughput satellites based on weather forecasts. Such transmissions are particularly sensitive to the presence of hydrometeors, which attenuate the signal. A model to forecast the attenuation based on forecasted rainfall amounts is presented. The valuable contribution of weather forecasts in the system optimization is demonstrated as well as the benefit of using ensemble forecasts over deterministic forecasts.