Articles | Volume 17, issue 8
https://doi.org/10.5194/amt-17-2451-2024
https://doi.org/10.5194/amt-17-2451-2024
Research article
 | 
23 Apr 2024
Research article |  | 23 Apr 2024

Application of Doppler sodar in short-term forecasting of PM10 concentration in the air in Krakow (Poland)

Ewa Agnieszka Krajny, Leszek Ośródka, and Marek Jan Wojtylak

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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-2023-116', Anonymous Referee #1, 26 Oct 2023
    • AC1: 'Reply on RC1', Leszek Osrodka, 07 Nov 2023
    • AC3: 'Reply on RC1', Leszek Osrodka, 28 Dec 2023
    • AC4: 'Reply on RC1', Leszek Osrodka, 28 Dec 2023
  • RC2: 'Comment on amt-2023-116', Anonymous Referee #2, 24 Nov 2023
    • AC2: 'Reply on RC2', Leszek Osrodka, 28 Dec 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Leszek Osrodka on behalf of the Authors (24 Jan 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (29 Jan 2024) by Jun Wang
AR by Leszek Osrodka on behalf of the Authors (06 Feb 2024)  Manuscript 
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Short summary
The use of sodar data to support an air quality forecasting system is encouraging.

The sodar model is a complement to forecasting methods because it is useful due to its simplicity and speed of calculations. It does not require emission data, for which it is difficult to quickly verify temporal and spatial variability.

The use of simple formulas of regression models in forecasting, while maintaining their multivariate nature, facilitates the optimisation of the prediction process.