Articles | Volume 15, issue 2
Atmos. Meas. Tech., 15, 485–502, 2022
https://doi.org/10.5194/amt-15-485-2022
Atmos. Meas. Tech., 15, 485–502, 2022
https://doi.org/10.5194/amt-15-485-2022

Research article 27 Jan 2022

Research article | 27 Jan 2022

Rainfall retrieval algorithm for commercial microwave links: stochastic calibration

Wagner Wolff et al.

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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-2021-34', Anonymous Referee #1, 08 Apr 2021
    • AC1: 'Reply on RC1', Wagner Wolff, 05 Jun 2021
  • RC2: 'Comment on amt-2021-34', Anonymous Referee #2, 14 Apr 2021
    • AC2: 'Reply on RC2', Wagner Wolff, 05 Jun 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Wagner Wolff on behalf of the Authors (02 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (04 Sep 2021) by Alexis Berne
RR by Anonymous Referee #1 (17 Sep 2021)
RR by Anonymous Referee #2 (25 Sep 2021)
ED: Publish subject to minor revisions (review by editor) (04 Oct 2021) by Alexis Berne
AR by Wagner Wolff on behalf of the Authors (29 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (16 Nov 2021) by Alexis Berne
AR by Wagner Wolff on behalf of the Authors (26 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (08 Dec 2021) by Alexis Berne
AR by Wagner Wolff on behalf of the Authors (15 Dec 2021)  Author's response    Manuscript
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Short summary
The existing infrastructure for cellular communication is promising for ground-based rainfall remote sensing. Rain-induced signal attenuation is used in dedicated algorithms for retrieving rainfall depth along commercial microwave links (CMLs) between cell phone towers. This processing is a source of many uncertainties about input data, algorithm structures, parameters, CML network, and local climate. Application of a stochastic optimization method leads to improved CML rainfall estimates.