TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway

The Turbulent-resolving urban modeling of air quality and thermal comfort (TURBAN) project aims to develop an integrated urban modeling system on basis of the large-eddy simulation code PALM. Urban simulations require a large number of datasets representing urban environment. This dataset is a collection of available observations for the model development and testing. The dataset has a value beyond the technical model development. It represent two observed periods of extreme deterioration of the urban air quality in Bergen, Norway. The observational dataset for studies of urban air quality hazard scenarios combines a selection of meteorological, air quality, and geospatial (urban features) data. The data are sampled for two distinct periods: • Summer – covers 2019-07-20 to 2019-07-27 when one of the strongest historical heatwaves with maximum air temperatures exceeding +30C affected Bergen. • Winter – covers 2021-02-04 to 2021-02-15 when one of the strongest historical coldwaves with temperatures below -10C and ice covering some the fjords (not observed since 1986) affected Bergen The dataset combines the observations and surface features within the central urban area – the Bergen valley and Byfjorden where (1) air quality observations are available and (2) the most of available data records are found.