Machine Learning Approach to Summer Precipitation Nowcasting over the Eastern Alps
Year: 2019
Type: article
Abstract: This paper presents a new machine learning-based nowcasting model for hourly summer precipitation over the Eastern Alps. An artificial neural network (ANN) using the multi-layer perceptron algorithm was applied and evaluated against the Integrated Nowcasting through Comprehensive Analysis (INCA) nowcasting system and a multiple linear regression (MLR) model. Results show that the ANN model has a better nowcasting skill than the INCA model and the MLR model. The MLR model performs, too, also better than the INCA model. The improvement of precipitation intensity accuracy is substantial for both the morning to late evening period and for large rainfall thresholds. This study suggested that the machine learning approach is a promising methodology for precipitation forecasting.
Source: Meteorologische Zeitschrift
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $1,402
OpenAlex ID: W2992852944