The main disadvantages of the existing method of dealing with atmospheric precipitation in Saint Petersburg are examined. A new approach for automated measuring, monitoring, and forecasting atmospheric precipitation in a large industriaal city (a case study of Saint Petersburg) was developed. A flowchart for an automated information system for atmospheric precipitation monitoring and forecasting is presented. To forecast precipitation amounts, an adapted mesoscale meteorological model Weather Research and Forecasting (WRF) was used. Daily sums of precipitation at the pilot training area (5 November–15 December 2015) were used as the initial raw information. Actual and forecast daily sums of precipitation were compared. Using statistical analysis, it was determined that the differences between them were insignificant. The examined computer information system for monitoring and forecasting atmospheric precipitation allows accurate gauging and predicting their daily sums. It might be used in operational practice for supporting the operation of the local municipal service, responsible for the functioning of the city’s infrastructure.
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