Preprints
https://doi.org/10.5194/amt-2023-116
https://doi.org/10.5194/amt-2023-116
23 Aug 2023
 | 23 Aug 2023
Status: a revised version of this preprint was accepted for the journal AMT and is expected to appear here in due course.

Application of DOPPLER SODAR in short-term forecasting of PM10 concentration in the air in the City of Krakow (PL)

Ewa Agnieszka Krajny, Leszek Osrodka, and Marek Jan Wojtylak

Abstract. The article describes an attempt to apply data obtained from SODAR (Sound Detection and Ranging) poms for short-term forecasting of PM10 concentration levels in Krakow. Krakow is one of the most polluted cities in Central Europe (CE) in terms of PM10 concentration. The city authorities, based on the access to legal measures, have undertaken a number of organizational and legal initiatives aimed at significantly improving air quality (e.g. ban on burning solid fuels for space heating, forecasting air quality (AQ) for the planned implementation of free public transport, etc.). At the same time, the unfavorable topographic location of the city reduces the possibility of natural ventilation. This article describes all these conditions, focusing on presenting a method for short-term correction of air quality for the planned implementation of free public transport. Currently, the forecast is being developed by the Institute of Meteorology and Water Management – National Research Institute (IMWM-NRI) using the CALPUFF model, powered by meteorological forecast data of the mesoscale ALADIN model. The use of this model generally makes it possible to correctly predict the average daily concentration values; however, the maximum values are understated. Based on several years of measurements of the physical properties of the atmosphere using SODAR, the authors of the paper suggest that SODAR data can be considered for operational use to generate short-term forecasts.

Ewa Agnieszka Krajny, Leszek Osrodka, and Marek Jan Wojtylak

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

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
Ewa Agnieszka Krajny, Leszek Osrodka, and Marek Jan Wojtylak
Ewa Agnieszka Krajny, Leszek Osrodka, and Marek Jan Wojtylak

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Short summary
The use of SODAR data to support the air quality forecasting system is encouraging. 1. SODAR model: a. is a supplement to forecasting methods because it is useful due to the simplicity and speed of calculations. b. does not require emission data, for which it is difficult to quickly verify temporal and spatial variability. 2. The use of simple formulas of regression models in forecasting, while maintaining their multi-variant nature, facilitates the optimization of the prediction process.