Predictions of atmospheric icing and winter precipitation

Atmospheric icing is a major weather hazard which imposes threats to critical infrastructure by accumulation of heavy ice loads. This includes structures such as power lines, bridges, telecommunication towers, wind turbines, and aircraft, and the ice loading might lead to costly damages, collapses,...

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Bibliographic Details
Published in:Atmospheric Research
Main Author: Iversen, Emilie C.
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: 2022
Subjects:
Online Access:http://hdl.handle.net/10852/97976
Description
Summary:Atmospheric icing is a major weather hazard which imposes threats to critical infrastructure by accumulation of heavy ice loads. This includes structures such as power lines, bridges, telecommunication towers, wind turbines, and aircraft, and the ice loading might lead to costly damages, collapses, or disruptions. For these reasons, accurate weather and icing forecasts, as well as estimates of the future occurrence of atmospheric icing, is important for society. This doctoral work improves the weather forecasting with respect to predictions of atmospheric icing, and projects the future occurrence of atmospheric icing in Norway based on two climate models. Precipitation is a key ingredient for several types of atmospheric icing, and is also critically important in many other respects, for example for hydropower generation, water consumption, irrigation, and industry. One of the climate models applied in this doctoral work showed future winter precipitation decreases down to 30 % over the Norwegian Sea and Norway towards the end of the century, something that would have significant implications for society. An aim has been to find and understand the physical mechanisms behind this climate response. The results show that the model’s extreme projection of future cooling in the North Atlantic causes decreases in local convective precipitation (showers). This contributes to explain some of the uncertainty in future precipitation projections from climate models and to urge the work on constraining the uncertainties.